From f61c471aac5a950c09dbce281ad59a1d4cce5218 Mon Sep 17 00:00:00 2001 From: Hwang Date: Tue, 5 May 2026 21:04:17 +0900 Subject: [PATCH] =?UTF-8?q?=EB=B8=8C=EB=9E=9C=EC=B9=98=20=EB=B6=84?= =?UTF-8?q?=EB=A6=AC=20=EB=B0=A9=EC=8B=9D:=20A=20/=20B=20/=20C=20A=20?= =?UTF-8?q?=EC=84=A0=ED=83=9D=20=EC=8B=9C=20=EC=BB=A4=EB=B0=8B=20=EB=A9=94?= =?UTF-8?q?=EC=8B=9C=EC=A7=80:=20=EC=9C=84=20=EC=B4=88=EC=95=88=20OK=20/?= =?UTF-8?q?=20=EC=88=98=EC=A0=95=20/=20=EC=A7=81=EC=A0=91=20=EC=9E=91?= =?UTF-8?q?=EC=84=B1=20=EC=9E=91=EC=97=85=20=EC=8B=9C=EC=A0=90:=20?= =?UTF-8?q?=EC=A7=80=EA=B8=88=20/=20=EC=9A=B4=EC=98=81=20=EB=8D=B0?= =?UTF-8?q?=EC=9D=B4=ED=84=B0=201~2=EC=9D=BC=20=EC=8C=93=EA=B3=A0=20/=20?= =?UTF-8?q?=EC=A3=BC=EB=A7=90?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- __pycache__/database.cpython-312.pyc | Bin 89382 -> 96021 bytes backtest_scalping/param_search.py | 378 - backtest_scalping/tail_param_search.py | 531 - backtest_web.py | 513 +- backup.sql | 48790 ++ database.py | 214 +- diag_backtest_4_30.py | 198 + docs/SCALP_BACKTEST_VS_LIVE.md | 195 + kis_scalping_ver1.py | 8 +- kis_scalping_ver2.py | 43 +- kis_short_ver2.py | 5 +- kis_short_ver3.py | 138 +- kis_token_manager.py | 77 +- kis_trader/README.md | 116 + kis_trader/__init__.py | 3 + kis_trader/backtest/__init__.py | 1 + kis_trader/backtest/backtest_web.py | 48 + kis_trader/backtest/param_apply_ai.py | 321 + kis_trader/backtest/param_search.py | 835 + kis_trader/backtest/tail_param_search.py | 708 + kis_trader/database/__init__.py | 4 + kis_trader/database/db_manager.py | 546 + kis_trader/execution/__init__.py | 5 + kis_trader/execution/kis_client.py | 796 + kis_trader/execution/order_manager.py | 510 + kis_trader/main.py | 842 + kis_trader/network/__init__.py | 4 + kis_trader/network/condition_manager.py | 396 + kis_trader/network/market_guard.py | 330 + kis_trader/network/ranking_manager.py | 313 + kis_trader/network/ws_manager.py | 524 + kis_trader/scripts/__init__.py | 5 + kis_trader/scripts/fill_kiwoom_candles.py | 386 + kis_trader/strategies/__init__.py | 12 + kis_trader/strategies/base.py | 537 + kis_trader/strategies/breakout.py | 333 + kis_trader/strategies/scalping.py | 344 + kis_trader/strategies/tail_catch.py | 275 + kis_trader/utils/__init__.py | 1 + kis_trader/utils/env.py | 86 + kis_trader/utils/logger.py | 174 + kis_trader/utils/request_handler.py | 155 + kiwoom_universe_scanner.py | 11 +- kiwwom_trader/README.md | 59 + kiwwom_trader/config.py | 43 + kiwwom_trader/requirements.txt | 5 + kiwwom_trader/run.py | 23 + kiwwom_trader/scalping_bot.py | 261 + kiwwom_trader/scalping_logic.py | 45 + kiwwom_trader/ws_candle_agg.py | 122 + ml_model.pkl | Bin 702390 -> 963546 bytes mm_butler.py | 202 +- scalping_engine.py | 499 +- tail_engine.py | 339 +- test_kiwoom_token.py | 339 + test_psearch.py | 299 + update_env_simple.py | 163 +- 키움 REST API 문서.pdf | 742822 +++++++++++++++++++ 58 files changed, 803502 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kis_trader/network/condition_manager.py create mode 100644 kis_trader/network/market_guard.py create mode 100644 kis_trader/network/ranking_manager.py create mode 100644 kis_trader/network/ws_manager.py create mode 100644 kis_trader/scripts/__init__.py create mode 100644 kis_trader/scripts/fill_kiwoom_candles.py create mode 100644 kis_trader/strategies/__init__.py create mode 100644 kis_trader/strategies/base.py create mode 100644 kis_trader/strategies/breakout.py create mode 100644 kis_trader/strategies/scalping.py create mode 100644 kis_trader/strategies/tail_catch.py create mode 100644 kis_trader/utils/__init__.py create mode 100644 kis_trader/utils/env.py create mode 100644 kis_trader/utils/logger.py create mode 100644 kis_trader/utils/request_handler.py create mode 100644 kiwwom_trader/README.md create mode 100644 kiwwom_trader/config.py create mode 100644 kiwwom_trader/requirements.txt create mode 100644 kiwwom_trader/run.py create mode 100644 kiwwom_trader/scalping_bot.py create mode 100644 kiwwom_trader/scalping_logic.py create mode 100644 kiwwom_trader/ws_candle_agg.py create mode 100644 test_kiwoom_token.py create mode 100644 test_psearch.py create mode 100644 키움 REST API 문서.pdf diff --git a/__pycache__/database.cpython-312.pyc b/__pycache__/database.cpython-312.pyc index 51be279a6a4e1967b30b42143071d326f88d83be..6feda170e77b2689e24ff481afbbce2b9d20819b 100644 GIT binary patch delta 12708 zcma)i33yahvhY2(w{+5-eP5s<2}vgqLc$_pkRz$x_ zFI;SpSxU_%rPj)7b3u`{pwv`TWUVc&E~+W5C@XZw%N*sVCDuZdxvU-;EG0$Qr8~q! z12tGMQQwy31u zDsvWDO!;L+g=6uh71gy?FFwx4pI=>MT2xVYD^iWA9E_|e1Pdz4%mwxCD32NzGrFh9 zT2oP1T~OqXa)SLJyzVA^tWWmMl#ptZWsyhK8ffYc9fK${mz%+1GKL8r%fb*cOE_bJ zPMop@j4i^8lyNd=93st@5;UaDYPNvq7Q^V)6cxAw7ny6UrL{FybD=w-pu$pUt~FP{ zApMLn(odA#U;+2IBM|G9+sNpeqAK@TUZ$|0*TX8?1*|cCu|9V(?&w<(P4 zQF+5?Ff7DVEn}}Ps;xGohRDmXs218*0EXh|$^1@ifEM9AX6SNL^`fF$Ye}7{y3jZ2 z<8Q#u7`r666Ke>ciauc>Y{=QnE&-Gu49no^mS#n6c#OEG2@Q9p%I%;s9LD( zIb2w*@^FO8P8)-X@XdrVNKZpF69&NqK@%*Csx>vyDa_X$ 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-===================================================================== -실행: - cd /home/hoon/kis_bot - python3 backtest_scalping/param_search.py - -옵션: - --start 시작일 (기본: 오늘-7일) - --end 종료일 (기본: 오늘) - --mode 탐색 모드: coarse(기본) / fine / full - --top 상위 N개 출력 (기본: 20) - --min_trades 최소 거래 건수 필터 (기본: 5) - --apply 결과 1위를 DB에 자동 적용 (기본: False) - -예시: - python3 backtest_scalping/param_search.py --start 2026-03-01 --end 2026-03-06 --mode fine --apply -""" -""" -# 오늘 하루 기준, 빠른 탐색 (약 720 조합, 2분 소요) -python3 backtest_scalping/param_search.py --start 2026-03-06 --end 2026-03-06 - -# 지난 1주일, 세밀 탐색 (약 5,400 조합, 15분 소요) -python3 backtest_scalping/param_search.py --start 2026-03-01 --end 2026-03-06 --mode fine - -# 탐색 후 1위 파라미터를 DB에 자동 적용 -python3 backtest_scalping/param_search.py --start 2026-11-01 --end 2026-03-06 --mode fine --apply - -# 전체 탐색 (51,840 조합, 2시간 이상, 주말에 돌려두기) -python3 backtest_scalping/param_search.py --start 2026-02-01 --end 2026-03-06 --mode full --apply - -결과는 backtest_scalping/results/search_coarse_YYYYMMDD_HHMMSS.json에 자동 저장됩니다. - -핵심 팁: 데이터가 많을수록 신뢰도가 높으니, ws_candles 데이터가 2주 이상 쌓인 후에 --mode fine으로 돌리는 게 좋습니다. -""" - -import sys, os, json, time, argparse -from datetime import datetime, timedelta -from itertools import product -from typing import Optional - -MIN_WIN_RATE_DEFAULT = 52.0 - -# kis_bot 루트를 경로에 추가 -ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -sys.path.insert(0, ROOT) - -import logging -logging.getLogger("TradeDB").setLevel(logging.WARNING) # 반복 초기화 로그 억제 - -from backtest_web import app -from database import TradeDB -import scalping_engine as se - -# ────────────────────────────────────────────────────────────────────────────── -# 스캘핑 기본값 = 엔진에서 DB 로드 (백테스트 API와 동일 단일 소스, 실매매와 동기화) -# ────────────────────────────────────────────────────────────────────────────── - -def _fixed_defaults(): - """엔진 get_scalping_defaults_from_db() 사용. API 쿼리용으로 percent 변환.""" - _d = se.get_scalping_defaults_from_db() - return { - "rsi_period": _d["rsi_period"], - "slot_money": _d["slot_money"], - "vol_mult": _d["vol_mult"], - "trail_trigger": _d["trail_trigger"] * 100, - "trail_stop": _d["trail_stop"] * 100, - "cooldown_min": _d["cooldown_min"], - "time_start": _d["time_start"], - "time_end": _d["time_end"], - "max_daily": _d["max_daily"], - "fee_rate": _d["fee_rate"] * 100, - "sell_tax": _d["sell_tax"] * 100, - } - -# ────────────────────────────────────────────────────────────────────────────── -# 파라미터 그리드 정의 -# ────────────────────────────────────────────────────────────────────────────── - -GRIDS = { - # 빠른 1차 탐색 (약 720 조합) - "coarse": { - "rsi_oversold": [10, 12, 15, 18, 20, 25], - "sl_pct": [0.8, 1.0, 1.5, 2.0], - "tp_pct": [1.5, 2.0, 2.5, 3.0, 4.0], - "drop_rate": [0.5, 1.0, 1.5, 2.0, 2.5, 3.0], - # 아래는 고정 (coarse 모드) - }, - # 세밀 2차 탐색 (약 5,400 조합, 시간 오래 걸림) - "fine": { - "rsi_oversold": [15, 16, 17, 18, 19, 20], - "sl_pct": [0.7, 0.8, 1.0, 1.2, 1.5], - "tp_pct": [2.0, 2.5, 3.0, 3.5, 4.0], - "drop_rate": [1.5, 2.0, 2.5, 3.0], - "trail_trigger": [0, 0.5, 0.8], - "trail_stop": [0.3, 0.5], - "cooldown_min": [5, 10, 15], - }, - # 전체 탐색 (약 51,840 조합, 매우 오래 걸림) - "full": { - "rsi_oversold": [10, 12, 15, 18, 20, 25], - "sl_pct": [0.8, 1.0, 1.5, 2.0], - "tp_pct": [1.5, 2.0, 2.5, 3.0, 4.0], - "drop_rate": [0.5, 1.0, 1.5, 2.0, 2.5, 3.0], - "trail_trigger": [0, 0.5, 0.8, 1.0], - "trail_stop": [0.3, 0.5, 0.8], - "cooldown_min": [5, 10, 20], - "max_daily": [2, 3], - }, -} - -def _get_scalp_field_map(): - """스캘핑 파라미터 → env_config 컬럼 매핑 (apply / db_snapshot 공용).""" - return { - "rsi_oversold": ("SCALP_RSI_OVERSOLD", lambda v: str(int(v))), - "sl_pct": ("SCALP_STOP_LOSS_PCT", lambda v: str(float(v) / 100)), - "tp_pct": ("SCALP_TAKE_PROFIT_PCT", lambda v: str(float(v) / 100)), - "drop_rate": ("SCALP_MIN_DROP_RATE", lambda v: str(float(v) / 100)), - } - - -def _params_to_db_snapshot(params: dict) -> dict: - """그리드 params(표시 단위) → env_config 컬럼명:값 문자열 dict.""" - field_map = _get_scalp_field_map() - return { - db_col: fmt(params[param_k]) - for param_k, (db_col, fmt) in field_map.items() - if param_k in params - } - - -def _apply_from_latest_json(rank: int): - """최근 search_*.json에서 rank번째(1-based) 항목의 merged_params를 DB에 적용.""" - out_dir = os.path.join(ROOT, "backtest_scalping", "results") - if not os.path.isdir(out_dir): - print("⚠️ results 디렉터리가 없습니다.") - return - jsons = [f for f in os.listdir(out_dir) if f.startswith("search_") and f.endswith(".json")] - if not jsons: - print("⚠️ search_*.json 파일이 없습니다.") - return - jsons.sort(key=lambda f: os.path.getmtime(os.path.join(out_dir, f)), reverse=True) - latest_path = os.path.join(out_dir, jsons[0]) - with open(latest_path, "r", encoding="utf-8") as f: - data = json.load(f) - top = data.get("top") or [] - if rank < 1 or rank > len(top): - print(f"⚠️ 순번 {rank}이(가) 유효하지 않습니다. (1~{len(top)})") - return - item = top[rank - 1] - merged = item.get("merged_params") - if not merged: - merged = item.get("params") - if not merged: - print("⚠️ 해당 항목에 merged_params/params가 없습니다.") - return - print(f"📂 {latest_path} 에서 {rank}번째 적용합니다.") - _apply_to_db(merged) - - -def run_search(start: str, end: str, mode: str, top_n: int, - min_trades: int, min_win_rate: float, apply_rank: Optional[int], from_file_only: bool): - if from_file_only and apply_rank is not None and apply_rank >= 1: - _apply_from_latest_json(apply_rank) - return - - grid = GRIDS[mode] - keys = list(grid.keys()) - combos = list(product(*[grid[k] for k in keys])) - total = len(combos) - print(f"\n[{mode.upper()} 모드] 탐색 조합: {total:,}개 | 기간: {start} ~ {end}") - print("=" * 70) - - results = [] - t0 = time.time() - - FIXED_DEFAULTS = _fixed_defaults() - with app.test_client() as c: - for i, vals in enumerate(combos): - params = dict(FIXED_DEFAULTS) # 고정값 먼저 (DB 쿨다운/장시간 반영) - params.update(dict(zip(keys, vals))) # 그리드값으로 덮어쓰기 - params["start"] = start - params["end"] = end - - qs = "&".join(f"{k}={v}" for k, v in params.items()) - r = c.get(f"/api/backtest/scalping?{qs}") - if r.status_code != 200: - continue - d = json.loads(r.data) - s = d.get("summary", {}) - - if s.get("total_trades", 0) < min_trades: - continue - - results.append({ - "params": {k: params[k] for k in keys}, # 탐색 파라미터만 저장 - "total_pnl": s["total_pnl"], - "win_rate": s["win_rate"], - "total_trades": s["total_trades"], - "pf": s["profit_factor"], - "avg_hold": s["avg_hold_min"], - "mdd": s["max_drawdown"], - }) - - # 진행률 출력 (200건마다) - if (i + 1) % 200 == 0: - elapsed = time.time() - t0 - eta = elapsed / (i + 1) * (total - i - 1) - print(f" 진행: {i+1:>5}/{total} 경과: {elapsed:>5.0f}s 남은: {eta:>5.0f}s", flush=True) - - elapsed = time.time() - t0 - print(f"\n완료: {elapsed:.1f}초 | 유효 결과: {len(results)}건") - - if not results: - print("⚠️ 수익 조합을 찾지 못했습니다. 기간을 늘리거나 min_trades를 낮춰보세요.") - return - - # 총 손익 기준 정렬 후, 승률 min_win_rate 이상만 우선; 없으면 차악(손익 1위) 유지 - results.sort(key=lambda x: x["total_pnl"], reverse=True) - results_52 = [r for r in results if r["win_rate"] >= min_win_rate] - if results_52: - results = results_52 - results.sort(key=lambda x: x["total_pnl"], reverse=True) - print(f"✅ 승률 {min_win_rate}% 이상 {len(results)}건 중 손익순으로 1위 선정") - else: - print(f"⚠️ 승률 {min_win_rate}% 이상 없음 → 차악(손익 1위) 적용") - - # ── 결과 출력 ── - hdr_keys = [k for k in keys] - col_w = max(len(k) for k in hdr_keys) + 2 - - print(f"\n{'='*70}") - print(f" 🏆 수익 TOP {min(top_n, len(results))} (투자금 1,000,000원 기준)") - print(f"{'='*70}") - - # 헤더 - hdr = " ".join(f"{k:>{col_w}}" for k in hdr_keys) - print(f"{hdr} | {'손익(원)':>12} {'승률':>6} {'거래':>5} {'PF':>5} {'보유':>6}") - print("-" * (len(hdr) + 55)) - - for r in results[:top_n]: - p = r["params"] - row = " ".join(f"{p[k]:>{col_w}.4g}" for k in hdr_keys) - print(f"{row} | {r['total_pnl']:>+12,.0f} {r['win_rate']:>5.1f}% " - f"{r['total_trades']:>5} {r['pf']:>5.2f} {r['avg_hold']:>5.1f}분") - - best = results[0] - bp = best["params"] - print(f""" -╔══════════════════════════════════════════╗ -║ 🏆 1위 최적 파라미터 ║ -╠══════════════════════════════════════════╣""") - # 결과 파라미터명 → DB 컬럼명 표시 - _disp_map = { - "rsi_oversold": "SCALP_RSI_OVERSOLD", - "sl_pct": "SCALP_STOP_LOSS_PCT (÷100)", - "tp_pct": "SCALP_TAKE_PROFIT_PCT(÷100)", - "drop_rate": "SCALP_MIN_DROP_RATE (÷100)", - "trail_trigger": "(백테스트전용-미저장)", - "trail_stop": "(백테스트전용-미저장)", - "cooldown_min": "SCALP_COOLDOWN_SEC(÷60=분)", - } - for k, v in bp.items(): - label = _disp_map.get(k, k) - print(f"║ {label:<30s} : {v!s:>6} ║") - print(f"""╠══════════════════════════════════════════╣ -║ 총 손익 : {best['total_pnl']:>+12,.0f} 원 ║ -║ 승률 : {best['win_rate']:>6.1f}% ║ -║ 총 거래 : {best['total_trades']:>5} 건 ║ -║ Profit Factor : {best['pf']:>5.2f} ║ -║ 평균 보유 : {best['avg_hold']:>5.1f} 분 ║ -║ 최대 낙폭(MDD): {best['mdd']:>12,.0f} 원 ║ -╚══════════════════════════════════════════╝""") - - # ── 각 결과에 순번·merged_params·db_snapshot 부여 (JSON 및 apply N 지원) ── - top_list = [] - for idx, r in enumerate(results[:top_n]): - p = r["params"] - top_list.append({ - "rank": idx + 1, - "params": p, - "merged_params": p, - "db_snapshot": _params_to_db_snapshot(p), - "total_pnl": r["total_pnl"], - "win_rate": r["win_rate"], - "total_trades": r["total_trades"], - "pf": r["pf"], - "avg_hold": r["avg_hold"], - "mdd": r["mdd"], - }) - - # ── JSON 결과 저장 ── - out_dir = os.path.join(ROOT, "backtest_scalping", "results") - os.makedirs(out_dir, exist_ok=True) - ts = datetime.now().strftime("%Y%m%d_%H%M%S") - out_path = os.path.join(out_dir, f"search_{mode}_{ts}.json") - with open(out_path, "w", encoding="utf-8") as f: - json.dump({ - "mode": mode, - "start": start, - "end": end, - "min_win_rate": min_win_rate, - "top": top_list, - }, f, ensure_ascii=False, indent=2) - print(f"\n💾 결과 저장: {out_path}") - - # ── DB 자동 적용 ── - if apply_rank is not None and apply_rank >= 1 and apply_rank <= len(top_list): - _apply_to_db(top_list[apply_rank - 1]["merged_params"]) - print(f"✅ {apply_rank}번째 결과 적용 완료") - - -def _apply_to_db(best_params: dict): - """1위 파라미터를 env_config DB에 자동 반영. - trail_trigger / trail_stop / cooldown_min 은 env_config 컬럼이 없으므로 저장 제외. - """ - field_map = _get_scalp_field_map() - - sets = [] - vals = [] - for param_k, val in best_params.items(): - if param_k not in field_map: - continue - db_col, fmt = field_map[param_k] - sets.append(f"{db_col} = %s") - vals.append(fmt(val)) - - if not sets: - print("DB 적용할 파라미터가 없습니다.") - return - - db = TradeDB() - db.conn.execute(f"UPDATE env_config SET {', '.join(sets)}", vals) - db.conn.commit() - db.close() - print("\n✅ DB env_config 자동 적용 완료:") - for param_k, val in best_params.items(): - if param_k in field_map: - db_col, fmt = field_map[param_k] - print(f" {db_col:<30s} = {fmt(val)}") - - -# ────────────────────────────────────────────────────────────────────────────── -# CLI 진입점 -# ────────────────────────────────────────────────────────────────────────────── - -def main(): - today = datetime.now().strftime("%Y-%m-%d") - week_ago = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d") - - parser = argparse.ArgumentParser(description="스캘핑 백테스트 파라미터 Grid Search") - parser.add_argument("--start", default=week_ago, help="시작일 (YYYY-MM-DD)") - parser.add_argument("--end", default=today, help="종료일 (YYYY-MM-DD)") - parser.add_argument("--mode", default="coarse", choices=["coarse", "fine", "full"], - help="탐색 모드: coarse(빠름) / fine(보통) / full(느림)") - parser.add_argument("--top", default=20, type=int, help="상위 N개 출력") - parser.add_argument("--min_trades", default=5, type=int, help="최소 거래 건수") - parser.add_argument("--min_win_rate", default=MIN_WIN_RATE_DEFAULT, type=float, help="승률 하한 (%%). 이 이상만 손익순 1위") - parser.add_argument("--apply", nargs="?", const=1, type=int, default=None, metavar="N", - help="N번째 결과를 DB에 적용 (기본 1). --from-file 시 최근 JSON에서 적용") - parser.add_argument("--from-file", action="store_true", help="--apply N 과 함께 사용 시, 최근 결과 JSON에서만 적용 (탐색 생략)") - args = parser.parse_args() - - run_search( - start = args.start, - end = args.end, - mode = args.mode, - top_n = args.top, - min_trades = args.min_trades, - min_win_rate = args.min_win_rate, - apply_rank = args.apply, - from_file_only = args.from_file, - ) - - -if __name__ == "__main__": - main() diff --git a/backtest_scalping/tail_param_search.py b/backtest_scalping/tail_param_search.py deleted file mode 100644 index 0f655b7..0000000 --- a/backtest_scalping/tail_param_search.py +++ /dev/null @@ -1,531 +0,0 @@ -#!/usr/bin/env python3 -""" -tail_param_search.py — 꼬리잡기 백테스트 파라미터 자동 탐색 (Grid Search) -========================================================================== -tail_engine을 직접 임포트해 run_tail_backtest 호출. 기본값은 DB(env_config) 단일 소스. -실매매·백테스트·파라서치가 동일한 env 값을 사용해 결과 예측 가능. - -실행: - cd /home/hoon/kis_bot - python3 backtest_scalping/tail_param_search.py - -옵션: - --start 시작일 (기본: 오늘-7일) - --end 종료일 (기본: 오늘) - --mode 탐색 모드: coarse(기본) / fine / full - --top 상위 N개 출력 (기본: 20) - --min_trades 최소 거래 건수 필터 (기본: 3) - --min_win_rate 승률 하한 (기본: 52). 이 이상인 것만 손익순 정렬 후 1위. 없으면 차악(손익 1위) 적용. - --apply [N] 1위(또는 N위) 결과를 DB에 적용. N 생략 시 1. - --from-file --apply N 과 함께 사용 시, 최근 결과 JSON에서 N번째 적용 (탐색 생략). - -예시: - python3 backtest_scalping/tail_param_search.py --start 2026-03-01 --end 2026-03-06 - python3 backtest_scalping/tail_param_search.py --mode fine --apply - python3 backtest_scalping/tail_param_search.py --apply 2 --from-file - -참고: -- 백테스트 엔진(tail_engine)에는 실매 전용 로직이 없음: 금액손실컷(MAX_LOSS_PER_TRADE_KRW), - MIN_HOLD_AFTER_BUY_SEC, ATR 기반 손절/목표가(STOP_ATR_MULTIPLIER_TAIL 등) → 웹 백테·파라서치에도 없음. -- full 모드 조합 수가 너무 크면 OOM으로 Killed 되므로, 그리드 값 개수를 제한함. -""" -MIN_WIN_RATE_DEFAULT = 52.0 - -import sys, os, json, time, argparse -from datetime import datetime, timedelta -from itertools import product -from typing import Optional - -ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) -sys.path.insert(0, ROOT) - -import logging -logging.getLogger("TradeDB").setLevel(logging.WARNING) # 반복 초기화 로그 억제 - -from database import TradeDB -import tail_engine as te - -# ────────────────────────────────────────────────────────────────────────────── -# 파라미터 그리드 (그리드 값은 % 단위 → 엔진 호출 시 비율로 변환) -# 실매(kis_short_ver3)와 동일한 env를 경우의수에 포함해 진짜 백테스트에 가깝게 함. -# time_start_hm / time_end_hm: DB 고정. 탐색 시 아래 주석 해제. -# ────────────────────────────────────────────────────────────────────────────── - -GRIDS = { - "coarse": { - "min_drop_rate": [1.5, 2.0, 2.5, 3.0, 4.0], - "min_recovery_ratio": [30, 40, 50, 60], - "sl_pct": [1.5, 2.0, 3.0], - "tp_pct": [3.0, 4.0, 5.0, 6.0], - "tail_ratio_min": [1.0, 1.5, 2.0], - "max_loss_per_trade_krw": [150000, 200000], - "risk_pct_per_trade": [1.0, 2.0], - # "time_start_hm": [900, 930], - # "time_end_hm": [1430, 1500], - }, - "fine": { - "min_drop_rate": [1.5, 2.0, 2.5, 3.0, 4.0], - "min_recovery_ratio": [30, 40, 50, 60], - "sl_pct": [1.0, 1.5, 2.0, 2.5, 3.0], - "tp_pct": [3.0, 4.0, 5.0, 6.0, 7.0], - "tail_ratio_min": [0.8, 1.0, 1.5, 2.0], - "shoulder_cut_pct": [2.0, 3.0, 4.0], - "shoulder_min_high": [1.0, 1.2, 1.5], - "tail_pct_min": [0.1, 0.15, 0.2], - "max_rec_3m": [70, 80, 90], - "high_chase_thr": [94, 96, 98], - "max_loss_per_trade_krw": [150000, 200000], - "risk_pct_per_trade": [1.0, 2.0], - # "time_start_hm": [900, 930], - # "time_end_hm": [1430, 1500], - }, - # full: 조합 수 ~52만 (26만×2×2). MAX_LOSS 하드캡, RISK_PCT 엑셀레이터 테스트. rsi_period는 꼬리잡기용 DB 고정(그리드 제외). 1억 개에서 터진 거라 20~30만이면 10GB·10~20분 내 가능. - "full": { - "min_drop_rate": [1.5, 2.0, 2.5, 3.0, 4.0], - "min_recovery_ratio": [30, 40, 50, 60, 70], - "sl_pct": [1.0, 1.5, 2.0, 3.0], - "tp_pct": [4.0, 5.0, 6.0, 8.0], - "tail_ratio_min": [1.0, 1.5, 2.0], - "shoulder_cut_pct": [2.0, 3.0, 4.0], - "shoulder_min_high": [1.0, 1.2, 1.5], - "tail_pct_min": [0.1, 0.15, 0.2], - "max_rec_3m": [70, 80], - "high_chase_thr": [94, 96], - "rsi_threshold": [72, 78], - "max_loss_per_trade_krw": [150000, 200000], - "risk_pct_per_trade": [1.0, 2.0], - }, -} - -# % 단위 그리드 키 → 엔진은 비율(0~1) 사용 -_PCT_KEYS = frozenset({ - "min_drop_rate", "min_recovery_ratio", "max_rec_3m", "tail_pct_min", - "sl_pct", "tp_pct", "shoulder_min_high", "shoulder_cut_pct", "high_chase_thr", - "risk_pct_per_trade", -}) - -# 포지션 사이징: 실매와 동일한 effective_slot 계산용 (백테 가정 자본·켈리) -BACKTEST_CAPITAL = 100_000_000 # 1억 원 가정 -KELLY_MULTIPLIER_TAIL = 0.25 - - -def _get_fixed_defaults(): - """고정값 = DB(env_config) 단일 소스. 엔진과 동일.""" - d = te.get_tail_defaults_from_db() - d["slot_money"] = 1_000_000 - # 수수료/세금은 백테스트와 동일하게 (backtest_web _get_fee_defaults 기준) - d["fee_rate"] = 0.00015 # 0.015% - d["sell_tax"] = 0.0018 # 0.18% - return d - - -def _load_candles(start: str, end: str, rsi_period: int): - """ws_candles 3분봉 확정봉만 로드 (backtest_web과 동일).""" - start_key = (start.replace("-", "") + "0000") if start else "20260101" - end_key = (end.replace("-", "") + "2359") if end else "99991231" - db = TradeDB() - try: - codes_raw = db.conn.execute( - "SELECT DISTINCT code FROM ws_candles WHERE timeframe=3 " - "AND candle_time >= %s AND candle_time <= %s ORDER BY code", - [start_key, end_key] - ).fetchall() - codes = [r["code"] for r in codes_raw] - candles_by_code = {} - for code in codes: - rows = db.conn.execute( - "SELECT candle_time, open, high, low, close, volume " - "FROM ws_candles WHERE timeframe=3 AND code=%s " - "AND candle_time >= %s AND candle_time <= %s AND is_confirmed=1 " - "ORDER BY candle_time ASC", - [code, start_key, end_key] - ).fetchall() - if len(rows) < rsi_period + 5: - continue - candles_by_code[code] = [dict(r) for r in rows] - return candles_by_code - finally: - db.close() - - -def _params_for_engine(fixed: dict, grid_keys: list, grid_vals: list) -> dict: - """고정값 + 그리드 조합 → 엔진용 params (비율 단위).""" - params = dict(fixed) - for k, v in zip(grid_keys, grid_vals): - if k in _PCT_KEYS: - params[k] = float(v) / 100.0 - else: - params[k] = v - # 엔진에 불필요한 키 제거 (slot_money, fee_rate, sell_tax는 백테 후처리용) - for skip in ("slot_money", "fee_rate", "sell_tax"): - params.pop(skip, None) - return params - - -def _summary_from_trades(all_trades: list, params: dict, fixed: dict, fee_rate: float, sell_tax: float) -> dict: - """all_trades에 pnl/hold_min 보강 후 요약 통계 반환 (backtest_web과 동일). - params에 max_loss_per_trade_krw, risk_pct_per_trade, sl_pct가 있으면 실매와 동일한 effective_slot로 손익 계산.""" - def _t2dt(s): - from datetime import datetime - if isinstance(s, str) and len(s) >= 12: - return datetime(int(s[:4]), int(s[4:6]), int(s[6:8]), int(s[8:10]), int(s[10:12])) - return None - # 포지션 크기: 실매와 동일 공식 적용 시 effective_slot, 아니면 고정 slot_money - if ("max_loss_per_trade_krw" in params and "risk_pct_per_trade" in params and "sl_pct" in params - and params.get("sl_pct", 0) > 0): - sl_pct = float(params["sl_pct"]) - max_loss_krw = int(params["max_loss_per_trade_krw"]) - risk_pct = float(params["risk_pct_per_trade"]) - from_risk = BACKTEST_CAPITAL * risk_pct * KELLY_MULTIPLIER_TAIL / sl_pct - from_cap = max_loss_krw / sl_pct - effective_slot = min(from_risk, from_cap) - else: - effective_slot = fixed.get("slot_money", 1_000_000) - for t in all_trades: - qty = max(1, int(effective_slot / t["entry"])) - fee = (t["entry"] + t["exit"]) * qty * fee_rate - tax = t["exit"] * qty * sell_tax - t["pnl"] = round((t["exit"] - t["entry"]) * qty - fee - tax) - t["hold_min"] = round((_t2dt(t["exit_time"]) - _t2dt(t["entry_time"])).total_seconds() / 60, 1) if _t2dt(t["exit_time"]) and _t2dt(t["entry_time"]) else 0 - total = len(all_trades) - if total == 0: - return {"total_pnl": 0, "win_rate": 0, "total_trades": 0, "profit_factor": 0, "avg_hold_min": 0, "max_drawdown": 0} - total_pnl = sum(t["pnl"] for t in all_trades) - wins = [t for t in all_trades if t["pnl"] > 0] - win_pnl = sum(t["pnl"] for t in wins) - loss_pnl = sum(t["pnl"] for t in all_trades if t["pnl"] < 0) - pf = round(abs(win_pnl / loss_pnl), 2) if loss_pnl != 0 else 9999.0 - cum = 0 - mdd = 0 - for t in all_trades: - cum += t["pnl"] - if cum > mdd: - mdd = cum - mdd = min(mdd, cum) - mdd = abs(min(0, mdd)) - avg_hold = sum(t["hold_min"] for t in all_trades) / total - return { - "total_pnl": round(total_pnl), - "win_rate": round(len(wins) / total * 100, 1), - "total_trades": total, - "profit_factor": pf, - "avg_hold_min": round(avg_hold, 1), - "max_drawdown": round(mdd), - } - - -def _apply_from_latest_json(rank: int): - """최근 tail_search_*.json에서 rank번째(1-based) 항목의 merged_params를 DB에 적용.""" - out_dir = os.path.join(ROOT, "backtest_scalping", "results") - if not os.path.isdir(out_dir): - print("⚠️ results 디렉터리가 없습니다.") - return - jsons = [f for f in os.listdir(out_dir) if f.startswith("tail_search_") and f.endswith(".json")] - if not jsons: - print("⚠️ tail_search_*.json 파일이 없습니다.") - return - jsons.sort(key=lambda f: os.path.getmtime(os.path.join(out_dir, f)), reverse=True) - latest_path = os.path.join(out_dir, jsons[0]) - with open(latest_path, "r", encoding="utf-8") as f: - data = json.load(f) - top = data.get("top") or [] - if rank < 1 or rank > len(top): - print(f"⚠️ 순번 {rank}이(가) 유효하지 않습니다. (1~{len(top)})") - return - item = top[rank - 1] - merged = item.get("merged_params") - if not merged: - print("⚠️ 해당 항목에 merged_params가 없습니다. (구 버전 JSON)") - return - print(f"📂 {latest_path} 에서 {rank}번째 적용합니다.") - _apply_to_db(merged) - - -def run_search(start: str, end: str, mode: str, top_n: int, - min_trades: int, min_win_rate: float, apply_rank: Optional[int], from_file_only: bool): - if from_file_only and apply_rank is not None and apply_rank >= 1: - _apply_from_latest_json(apply_rank) - return - - grid = GRIDS[mode] - keys = list(grid.keys()) - combos = list(product(*[grid[k] for k in keys])) - total = len(combos) - fixed = _get_fixed_defaults() - fee_rate = fixed["fee_rate"] - sell_tax = fixed["sell_tax"] - rsi_period = fixed.get("rsi_period", 14) - - print(f"\n[{mode.upper()} 모드 — 꼬리잡기] 탐색 조합: {total:,}개 | 기간: {start} ~ {end}") - print(" 기본값: DB(env_config) tail_engine.get_tail_defaults_from_db()") - print("=" * 70) - - candles_by_code = _load_candles(start, end, rsi_period) - if not candles_by_code: - print("⚠️ 해당 기간 ws_candles 3분봉 데이터가 없습니다.") - return - - results = [] - t0 = time.time() - for i, vals in enumerate(combos): - params = _params_for_engine(fixed, keys, vals) - all_trades = te.run_tail_backtest(candles_by_code, params) - if len(all_trades) < min_trades: - continue - s = _summary_from_trades(all_trades, params, fixed, fee_rate, sell_tax) - results.append({ - "params": dict(zip(keys, vals)), - "total_pnl": s["total_pnl"], - "win_rate": s["win_rate"], - "total_trades": s["total_trades"], - "pf": s["profit_factor"], - "avg_hold": s["avg_hold_min"], - "mdd": s["max_drawdown"], - }) - if (i + 1) % 100 == 0: - elapsed = time.time() - t0 - eta = elapsed / (i + 1) * (total - i - 1) - print(f" 진행: {i+1:>5}/{total} 경과: {elapsed:>5.0f}s 남은: {eta:>5.0f}s", flush=True) - - elapsed = time.time() - t0 - print(f"\n완료: {elapsed:.1f}초 | 유효 결과: {len(results)}건") - - if not results: - print("⚠️ 유효 조합을 찾지 못했습니다. 기간을 늘리거나 min_trades를 낮춰보세요.") - return - - results.sort(key=lambda x: x["total_pnl"], reverse=True) - # 승률 min_win_rate 이상만 우선; 없으면 차악(손익 1위) 유지 - results_52 = [r for r in results if r["win_rate"] >= min_win_rate] - if results_52: - results = results_52 - results.sort(key=lambda x: x["total_pnl"], reverse=True) - print(f"✅ 승률 {min_win_rate}% 이상 {len(results)}건 중 손익순으로 1위 선정") - else: - print(f"⚠️ 승률 {min_win_rate}% 이상 없음 → 차악(손익 1위) 적용") - - # ── 결과 출력 ── - hdr_keys = list(keys) - col_w = max(len(k) for k in hdr_keys) + 2 - - print(f"\n{'='*70}") - print(f" 🏆 수익 TOP {min(top_n, len(results))} (손익: 조합별 effective_slot·MAX_LOSS·RISK_PCT 적용)") - print(f"{'='*70}") - - hdr = " ".join(f"{k:>{col_w}}" for k in hdr_keys) - print(f"{hdr} | {'손익(원)':>12} {'승률':>6} {'거래':>5} {'PF':>5} {'보유':>6}") - print("-" * (len(hdr) + 55)) - - for r in results[:top_n]: - p = r["params"] - row = " ".join(f"{p[k]:>{col_w}.4g}" for k in hdr_keys) - print(f"{row} | {r['total_pnl']:>+12,.0f} {r['win_rate']:>5.1f}% " - f"{r['total_trades']:>5} {r['pf']:>5.2f} {r['avg_hold']:>5.1f}분") - - best = results[0] - bp = best["params"] - # 적용 시 사용할 전체 파라미터 = 고정값(DB) + 그리드 1위 - merged = dict(fixed) - for k, v in bp.items(): - merged[k] = v - # 표시용: 그리드 키 + 결과에 영향 주는 고정 파라미터 - _tail_disp_map = { - "min_drop_rate": "MIN_DROP_RATE (÷100)", - "min_recovery_ratio": "MIN_RECOVERY_RATIO_SHORT(÷100)", - "sl_pct": "STOP_LOSS_PCT (음수÷100)", - "tp_pct": "TAKE_PROFIT_PCT (÷100)", - "tail_ratio_min": "TAIL_RATIO_MIN", - "tail_pct_min": "TAIL_PCT_MIN (÷100)", - "shoulder_min_high": "SHOULDER_MIN_HIGH_PCT (÷100)", - "shoulder_cut_pct": "SHOULDER_CUT_PCT (÷100)", - "rsi_period": "RSI_PERIOD", - "rsi_threshold": "RSI_OVERHEAT_THRESHOLD", - "max_rec_3m": "MAX_RECOVERY_RATIO_3M (÷100)", - "high_chase_thr": "HIGH_PRICE_CHASE_THRESHOLD(÷100)", - "cooldown_min": "REENTRY_COOLDOWN_SEC (×60초)", - "time_start_hm": "TIME_START / TAIL_TIME_START", - "time_end_hm": "TIME_END / TAIL_TIME_END", - "max_daily": "MAX_DAILY_TAIL / MAX_STOCKS", - "max_loss_per_trade_krw": "MAX_LOSS_PER_TRADE_KRW (원)", - "risk_pct_per_trade": "RISK_PCT_PER_TRADE (÷100)", - } - print(f""" -╔══════════════════════════════════════════╗ -║ 🏆 꼬리잡기 최적 파라미터 ║ -╠══════════════════════════════════════════╣""") - for k in keys: - v = bp.get(k, merged.get(k)) - label = _tail_disp_map.get(k, k) - print(f"║ {label:<34s} : {v!s:>6} ║") - for k in ("rsi_period", "rsi_threshold", "max_rec_3m", "tail_pct_min", "shoulder_min_high", - "high_chase_thr", "cooldown_min", "time_start_hm", "time_end_hm", "max_daily", - "max_loss_per_trade_krw", "risk_pct_per_trade"): - if k in merged and k not in keys: - label = _tail_disp_map.get(k, k) - print(f"║ {label:<34s} : {merged[k]!s:>6} ║") - print(f"""╠══════════════════════════════════════════╣ -║ 총 손익 : {best['total_pnl']:>+12,.0f} 원 ║ -║ 승률 : {best['win_rate']:>6.1f}% ║ -║ 총 거래 : {best['total_trades']:>5} 건 ║ -║ Profit Factor : {best['pf']:>5.2f} ║ -║ 평균 보유 : {best['avg_hold']:>5.1f} 분 ║ -║ 최대 낙폭(MDD): {best['mdd']:>12,.0f} 원 ║ -╚══════════════════════════════════════════╝""") - - # ── 각 결과에 순번·merged_params·db_snapshot 부여 (JSON 및 apply N 지원) ── - top_list = [] - for idx, r in enumerate(results[:top_n]): - merged_for_db = dict(fixed) - for k, v in r["params"].items(): - merged_for_db[k] = (float(v) / 100.0) if k in _PCT_KEYS else v - for skip in ("slot_money", "fee_rate", "sell_tax"): - merged_for_db.pop(skip, None) - top_list.append({ - "rank": idx + 1, - "params": r["params"], - "total_pnl": r["total_pnl"], - "win_rate": r["win_rate"], - "total_trades": r["total_trades"], - "pf": r["pf"], - "avg_hold": r["avg_hold"], - "mdd": r["mdd"], - "merged_params": merged_for_db, - "db_snapshot": _merged_to_db_snapshot(merged_for_db), - }) - - # ── JSON 저장 ── - out_dir = os.path.join(ROOT, "backtest_scalping", "results") - os.makedirs(out_dir, exist_ok=True) - ts = datetime.now().strftime("%Y%m%d_%H%M%S") - out_path = os.path.join(out_dir, f"tail_search_{mode}_{ts}.json") - with open(out_path, "w", encoding="utf-8") as f: - json.dump({ - "mode": mode, - "start": start, - "end": end, - "min_win_rate": min_win_rate, - "top": top_list, - }, f, ensure_ascii=False, indent=2) - print(f"\n💾 결과 저장: {out_path}") - - if apply_rank is not None and apply_rank >= 1 and apply_rank <= len(top_list): - _apply_to_db(top_list[apply_rank - 1]["merged_params"]) - print(f"✅ {apply_rank}번째 결과 적용 완료") - - -def _get_tail_field_map(): - """꼬리잡기 파라미터 → env_config 컬럼 매핑 (apply / db_snapshot 공용).""" - return { - "min_drop_rate": ("MIN_DROP_RATE", lambda v: str(float(v))), - "min_recovery_ratio": ("MIN_RECOVERY_RATIO_SHORT", lambda v: str(float(v))), - "sl_pct": ("STOP_LOSS_PCT", lambda v: str(-abs(float(v)))), - "tp_pct": ("TAKE_PROFIT_PCT", lambda v: str(float(v))), - "tail_ratio_min": ("TAIL_RATIO_MIN", lambda v: str(float(v))), - "tail_pct_min": ("TAIL_PCT_MIN", lambda v: str(float(v))), - "shoulder_min_high": ("SHOULDER_MIN_HIGH_PCT", lambda v: str(float(v))), - "shoulder_cut_pct": ("SHOULDER_CUT_PCT", lambda v: str(float(v))), - "rsi_period": ("RSI_PERIOD", lambda v: str(int(v))), - "rsi_threshold": ("RSI_OVERHEAT_THRESHOLD", lambda v: str(float(v))), - "max_rec_3m": ("MAX_RECOVERY_RATIO_3M", lambda v: str(float(v))), - "high_chase_thr": ("HIGH_PRICE_CHASE_THRESHOLD",lambda v: str(float(v))), - "cooldown_min": ("REENTRY_COOLDOWN_SEC", lambda v: str(int(v) * 60)), - "max_daily": ("MAX_STOCKS", lambda v: str(int(v))), - "max_loss_per_trade_krw": ("MAX_LOSS_PER_TRADE_KRW", lambda v: str(int(v))), - "risk_pct_per_trade": ("RISK_PCT_PER_TRADE", lambda v: str(float(v))), - } - - -def _merged_to_db_snapshot(merged_params: dict) -> dict: - """merged_params(비율 단위) → env_config 컬럼명:값 문자열 dict (JSON 저장용).""" - field_map = _get_tail_field_map() - if "time_start_hm" in merged_params: - field_map = {**field_map, "time_start_hm": ("TIME_START", lambda v: str(int(v)))} - if "time_end_hm" in merged_params: - field_map = {**field_map, "time_end_hm": ("TIME_END", lambda v: str(int(v)))} - return { - db_col: fmt(merged_params[param_k]) - for param_k, (db_col, fmt) in field_map.items() - if param_k in merged_params - } - - -def _apply_to_db(merged_params: dict): - """1위 파라미터(비율 단위)를 env_config DB에 자동 반영. 결과에 영향 주는 env 키 전부 반영.""" - field_map = _get_tail_field_map() - if "time_start_hm" in merged_params: - field_map["time_start_hm"] = ("TIME_START", lambda v: str(int(v))) - if "time_end_hm" in merged_params: - field_map["time_end_hm"] = ("TIME_END", lambda v: str(int(v))) - - sets, vals = [], [] - for param_k, val in merged_params.items(): - if param_k not in field_map: - continue - db_col, fmt = field_map[param_k] - sets.append(f"{db_col} = %s") - vals.append(fmt(val)) - - if not sets: - print("DB 적용할 파라미터가 없습니다.") - return - - db = TradeDB() - try: - db.conn.execute(f"UPDATE env_config SET {', '.join(sets)} WHERE id = (SELECT MAX(id) FROM env_config)", vals) - db.conn.commit() - except Exception as e: - # 컬럼 없음 등으로 실패 시 일부만 적용 - print(f"⚠️ 전체 적용 실패: {e}. 적용 가능한 컬럼만 시도합니다.") - for param_k, val in merged_params.items(): - if param_k not in field_map: - continue - db_col, fmt = field_map[param_k] - try: - db.conn.execute(f"UPDATE env_config SET {db_col} = %s WHERE id = (SELECT MAX(id) FROM env_config)", [fmt(val)]) - db.conn.commit() - print(f" {db_col:<30s} = {fmt(val)}") - except Exception: - pass - db.close() - print("\n✅ DB env_config 자동 적용 완료:") - for param_k, val in merged_params.items(): - if param_k in field_map: - db_col, fmt = field_map[param_k] - print(f" {db_col:<30s} = {fmt(val)}") - - -# ────────────────────────────────────────────────────────────────────────────── -# CLI 진입점 -# ────────────────────────────────────────────────────────────────────────────── - -def main(): - today = datetime.now().strftime("%Y-%m-%d") - week_ago = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d") - - parser = argparse.ArgumentParser(description="꼬리잡기 백테스트 파라미터 Grid Search") - parser.add_argument("--start", default=week_ago, help="시작일 (YYYY-MM-DD)") - parser.add_argument("--end", default=today, help="종료일 (YYYY-MM-DD)") - parser.add_argument("--mode", default="coarse", choices=["coarse", "fine", "full"], - help="탐색 모드") - parser.add_argument("--top", default=20, type=int) - parser.add_argument("--min_trades", default=3, type=int, help="최소 거래 건수") - parser.add_argument("--min_win_rate", default=MIN_WIN_RATE_DEFAULT, type=float, help="승률 하한 (%%). 이 이상만 손익순 1위") - parser.add_argument("--apply", nargs="?", const=1, type=int, default=None, metavar="N", - help="N번째 결과를 DB에 적용 (기본 1). --from-file 과 함께 시 최근 JSON에서 적용") - parser.add_argument("--from-file", action="store_true", help="--apply N 과 함께 사용 시, 최근 결과 JSON에서만 적용 (탐색 생략)") - args = parser.parse_args() - - run_search( - start = args.start, - end = args.end, - mode = args.mode, - top_n = args.top, - min_trades = args.min_trades, - min_win_rate = args.min_win_rate, - apply_rank = args.apply, - from_file_only = args.from_file, - ) - - -if __name__ == "__main__": - main() diff --git a/backtest_web.py b/backtest_web.py index 4f16c70..8a4ebe0 100644 --- a/backtest_web.py +++ b/backtest_web.py @@ -7,6 +7,7 @@ backtest_web.py — 매매 성과 분석 & 백테스트 웹 대시보드 탭1. 실거래 분석 → trade_history 기반 실제 매매 결과 탭2. 스캘핑 백테스트 → ws_candles 1분봉 가격 재현(Price-Replay) 백테스트 +탭3. 꼬리잡기 백테스트 → ws_candles 3분봉 기반, tail_engine 연동 (V3 방어 파라미터 지원) """ import sys, os, math, json, logging, threading, uuid @@ -81,6 +82,30 @@ def _compute_rsi_series(closes: list, period: int = 3) -> list: return rsi_list +# ──────────────────────────────────────────────────────────────────────────── +# 가상거래에 종목명 부여 (stock_meta 조회, 실거래와 동일하게 표시) +# ──────────────────────────────────────────────────────────────────────────── +def _enrich_trades_with_names(db, trades: list) -> None: + """trades 리스트 내 각 거래에 'name' 필드 추가. code만 있으면 stock_meta에서 조회.""" + if not trades: + return + codes = list({t.get("code") for t in trades if t.get("code")}) + if not codes: + return + try: + placeholders = ", ".join(["%s"] * len(codes)) + rows = db.conn.execute( + "SELECT code, name FROM stock_meta WHERE code IN (" + placeholders + ")", + codes, + ).fetchall() + code_to_name = {r["code"]: (r.get("name") or r["code"]) for r in rows} + except Exception: + code_to_name = {} + for t in trades: + c = t.get("code") + t["name"] = code_to_name.get(c, c) if c else "" + + # ──────────────────────────────────────────────────────────────────────────── # API: 실거래 분석 # ──────────────────────────────────────────────────────────────────────────── @@ -93,8 +118,22 @@ def api_actual(): db = _db() try: - params = [strategy] - sql = "SELECT * FROM trade_history WHERE strategy = %s" + # ── 전략 ID prefix 매칭 ───────────────────────────────────────── + # 과거 봇(kis_scalping_ver2.py 등): strategy='SCALP_RSI_REVERSAL' + # 신봇(kis_trader/main.py): strategy='SCALP' + # 두 포맷을 모두 한 화면에 잡기 위해 prefix LIKE 로 조회한다. + # (스캘핑 = 'SCALP%', 꼬리잡기 = 'SHORT%') + s_upper = (strategy or "").upper().strip() + if s_upper.startswith("SCALP"): + prefix = "SCALP" + elif s_upper.startswith("SHORT") or s_upper.startswith("TAIL"): + prefix = "SHORT" + else: + prefix = s_upper or "SCALP" + like_pattern = prefix + "%" + + params = [like_pattern] + sql = "SELECT * FROM trade_history WHERE strategy LIKE %s" if start: sql += " AND sell_date >= %s" params.append(start + " 00:00:00") @@ -105,6 +144,23 @@ def api_actual(): rows = db.conn.execute(sql, params).fetchall() trades = [dict(r) for r in rows] + # 잔고 동기화 이슈로 생성된 0원 강제정리 레코드는 실거래 성과를 왜곡하므로 분석 집계에서 제외 + # (실제 체결 손익이 아니라 로컬-브로커 불일치 정리용 레코드) + filtered_out = 0 + cleaned: List[Dict] = [] + for t in trades: + reason = str(t.get("sell_reason") or "") + try: + sell_price = float(t.get("sell_price") or 0) + except Exception: + sell_price = 0.0 + is_forced_ghost = ("잔고없음(강제정리)" in reason) or ("잔고동기화(외부매도)" in reason) + if is_forced_ghost and sell_price <= 0: + filtered_out += 1 + continue + cleaned.append(t) + trades = cleaned + # 날짜 직렬화 for t in trades: for k in ("buy_date", "sell_date"): @@ -179,6 +235,7 @@ def api_actual(): "profit_factor": round(profit_factor, 2), "max_drawdown": round(mdd), }, + "meta": {"filtered_forced_rows": filtered_out}, "equity": equity, "daily": daily_list, "reasons": reasons, @@ -206,17 +263,18 @@ def api_backtest_scalping(): end = request.args.get("end", "") rsi_period = int(request.args.get("rsi_period", _def["rsi_period"])) rsi_oversold = float(request.args.get("rsi_oversold", 25)) - sl_pct = float(request.args.get("sl_pct", 1.5)) / 100 # 손절 % - tp_pct = float(request.args.get("tp_pct", 1.5)) / 100 # 익절 % - drop_rate = float(request.args.get("drop_rate", 1.5)) / 100 # 최소 낙폭(당일 시가→저가) - slot_money = float(request.args.get("slot_money", _def["slot_money"])) # 1회 투자금 + rsi_overbought = float(request.args.get("rsi_overbought", 75)) + sl_pct = float(request.args.get("sl_pct", 1.5)) / 100 + tp_pct = float(request.args.get("tp_pct", 1.5)) / 100 + drop_rate = float(request.args.get("drop_rate", 1.5)) / 100 + slot_money = float(request.args.get("slot_money", _def["slot_money"])) _fee_rate = request.args.get("fee_rate") fee_rate = float(_fee_rate) / 100 if _fee_rate not in (None, "") else _def["fee_rate"] _sell_tax = request.args.get("sell_tax") sell_tax = float(_sell_tax) / 100 if _sell_tax not in (None, "") else _def["sell_tax"] _cooldown = request.args.get("cooldown_min") cooldown_min = float(_cooldown) if _cooldown not in (None, "") else _def["cooldown_min"] - vol_mult = float(request.args.get("vol_mult", _def["vol_mult"])) # 거래량 필터(0=비활성) + vol_mult = float(request.args.get("vol_mult", _def["vol_mult"])) _tr_trigger = request.args.get("trail_trigger") trail_trigger = float(_tr_trigger) / 100 if _tr_trigger not in (None, "") else _def["trail_trigger"] _tr_stop = request.args.get("trail_stop") @@ -225,11 +283,15 @@ def api_backtest_scalping(): time_start_hm = int(_time_start) if _time_start not in (None, "") else _def["time_start_hm"] _time_end = request.args.get("time_end") time_end_hm = int(_time_end) if _time_end not in (None, "") else _def["time_end_hm"] - max_daily = int(request.args.get("max_daily", _def["max_daily"])) # 종목당 일일 최대 거래횟수 + max_daily = int(request.args.get("max_daily", _def["max_daily"])) + _use_defense = request.args.get("use_defense_filters") + if _use_defense in (None, ""): + use_defense_filters = bool(_def.get("use_defense_filters", True)) + else: + use_defense_filters = str(_use_defense).strip().lower() in ("1", "true", "y", "yes", "on") db = _db() try: - # 날짜 → candle_time 형식 (YYYYMMDDHHMI) 변환 start_key = (start.replace("-", "") + "0000") if start else "20260101" end_key = (end.replace("-", "") + "2359") if end else "99991231" @@ -255,9 +317,22 @@ def api_backtest_scalping(): continue codes_candles[code] = [dict(r) for r in rows] + # 방어로직: 쿼리 인자로 넘어오면 우선 사용 (웹 입력란), 없으면 DB 기본값 + _high_chase = request.args.get("high_chase_thr") + _max_daily_ch = request.args.get("max_daily_chg") + _min_pr = request.args.get("min_price") + _max_loss = request.args.get("max_loss_krw") + _min_marg = request.args.get("min_margin") + high_chase_thr = float(_high_chase) if _high_chase not in (None, "") else _def.get("high_chase_thr", 0.96) + max_daily_chg = float(_max_daily_ch) if _max_daily_ch not in (None, "") else _def.get("max_daily_chg", 20.0) + min_price = float(_min_pr) if _min_pr not in (None, "") else _def.get("min_price", 1000.0) + max_loss_krw = int(float(_max_loss)) if _max_loss not in (None, "") else int(_def.get("max_loss_krw", 200000)) + # min_margin: 웹에서 % 단위(0.2 등)로 오면 0.002로 변환 + min_margin = float(_min_marg) / 100 if _min_marg not in (None, "") else _def.get("min_margin", 0.002) params = { "rsi_period": rsi_period, "rsi_oversold": rsi_oversold, + "rsi_overbought": rsi_overbought, "sl_pct": sl_pct, "tp_pct": tp_pct, "drop_rate": drop_rate, @@ -271,8 +346,35 @@ def api_backtest_scalping(): "time_end_hm": time_end_hm, "max_daily": max_daily, "vol_mult": vol_mult, + "high_chase_thr": high_chase_thr, + "max_daily_chg": max_daily_chg, + "min_price": min_price, + "max_loss_krw": max_loss_krw, + "min_drop_pct_for_loss_cut": _def.get("min_drop_pct_for_loss_cut", 0.015), + "min_margin": min_margin, + "use_defense_filters": use_defense_filters, + "scan_interval_min": 5, } - all_virtual_trades = se.run_scalping_backtest(codes_candles, params) + # 유니버스: 저장된 이력(target_candidates_history) 있으면 그 슬롯만 사용(시간 맞춤). 없으면 1분봉 시뮬레이션 + universe_source = "fallback" + universe_history_slots = 0 + universe_by_slot = None + try: + history = db.get_universe_history_for_backtest(start_key[:8], end_key[:8]) + if history: + universe_by_slot = history # 이력 있는 슬롯만 사용 → 이력 없는 시간대는 매수 후보 없음(거래 없음) + universe_source = "history" + universe_history_slots = len(history) + except Exception: + pass + if universe_by_slot is None: + _universe_top_n = int(request.args.get("universe_top_n") or os.environ.get("UPDATE_UNIVERSE_TOP_N", "20")) + _universe_min_score = float(request.args.get("universe_min_score") or os.environ.get("UPDATE_UNIVERSE_MIN_SCORE", "4.0")) + universe_by_slot = se.build_universe_simulation( + codes_candles, top_n=_universe_top_n, min_score=_universe_min_score, scan_interval_min=5 + ) + all_virtual_trades = se.run_scalping_backtest(codes_candles, params, universe_by_slot=universe_by_slot) + # ... 이하 로직 생략 (기존과 동일) ... # ───────────────────────────────────────────────────────────────── # 결과 집계 @@ -311,10 +413,15 @@ def api_backtest_scalping(): daily_list = [{"date": d[:4]+"-"+d[4:6]+"-"+d[6:], "pnl": round(v)} for d, v in sorted(daily.items())] + # 가상거래에도 종목명 표시 (실거래와 동일) + trades_out = all_virtual_trades[-200:] + _enrich_trades_with_names(db, trades_out) + return jsonify({ "params": { "rsi_period": rsi_period, "rsi_oversold": rsi_oversold, + "rsi_overbought": rsi_overbought, "sl_pct": sl_pct * 100, "tp_pct": tp_pct * 100, "drop_rate": drop_rate * 100, @@ -326,6 +433,8 @@ def api_backtest_scalping(): "time_window": f"{time_start_hm:04d}-{time_end_hm:04d}", "max_daily": max_daily, "codes_analyzed": len(codes), + "universe_source": universe_source, + "universe_history_slots": universe_history_slots, }, "summary": { "total_trades": total, @@ -340,7 +449,7 @@ def api_backtest_scalping(): "equity": equity, "daily": daily_list, "reasons": reasons, - "trades": all_virtual_trades[-200:], + "trades": trades_out, }) finally: db.close() @@ -370,6 +479,7 @@ def api_backtest_tail(): 꼬리잡기 전략 가격 재현 백테스트. entry 조건: 당일 낙폭(drop_rate) + 회복률(recovery_ratio) + 망치봉 꼬리 + RSI exit 조건: 손절 / 익절 / 어깨 컷(trailing) / 장 마감 강제 청산 + [V3 통합]: 추가 방어 파라미터(MA20, ATR 배수, 피뢰침 등) 적용 기본값 = DB(env_config) → tail_engine.get_tail_defaults_from_db(), 요청으로 덮어쓰기. """ _def = _get_tail_defaults_for_backtest() @@ -399,6 +509,23 @@ def api_backtest_tail(): time_end_hm = int( request.args.get("time_end", _def.get("time_end_hm", 1500))) max_daily = int( request.args.get("max_daily", _def.get("max_daily", 3))) + # V3 방어 파라미터 연동 + min_price = float(request.args.get("min_price", _def.get("min_price", 1000.0))) + max_daily_change = float(request.args.get("max_daily_change", _def.get("max_daily_change", 20.0))) + ma20_max_above = float(request.args.get("ma20_max_above", _def.get("ma20_max_above", 3.0))) + stop_atr_mult = float(request.args.get("stop_atr_mult", _def.get("stop_atr_mult", 2.5))) + target_atr_mult = float(request.args.get("target_atr_mult", _def.get("target_atr_mult", 8.0))) + max_loss_krw = int(request.args.get("max_loss_krw", _def.get("max_loss_krw", 200000))) + _min_drop_loss_arg = request.args.get("min_drop_pct_for_loss_cut") + min_drop_pct_for_loss_cut = _def.get("min_drop_pct_for_loss_cut", 0.015) + if _min_drop_loss_arg not in (None, ""): + v = float(_min_drop_loss_arg) + min_drop_pct_for_loss_cut = v / 100.0 if v >= 1 else v + risk_pct = float(request.args.get("risk_pct", _def.get("risk_pct", 0.01) * 100)) / 100 + kelly_mult = float(request.args.get("kelly_mult", _def.get("kelly_mult", 0.25))) + min_hold_sec = float(request.args.get("min_hold_sec", _def.get("min_hold_sec", 30.0))) + capital = float(request.args.get("capital", _def.get("capital", 100000000.0))) + db = _db() try: start_key = (start.replace("-", "") + "0000") if start else "20260101" @@ -413,6 +540,8 @@ def api_backtest_tail(): use_engine = _TAIL_ENGINE_AVAILABLE and request.args.get("use_engine", "1") == "1" all_trades: List[Dict] = [] + universe_source = "fallback" + universe_history_slots = 0 if use_engine: # tail_engine 공통 로직 사용 (실매매 ver3과 동일 계산식) @@ -428,6 +557,7 @@ def api_backtest_tail(): if len(rows) < rsi_period + 5: continue candles_by_code[code] = [dict(r) for r in rows] + params = { "min_drop_rate": min_drop_rate, "min_recovery_ratio": min_recovery_ratio, "max_rec_3m": max_rec_3m, "tail_ratio_min": tail_ratio_min, "tail_pct_min": tail_pct_min, @@ -436,10 +566,28 @@ def api_backtest_tail(): "rsi_period": rsi_period, "rsi_threshold": rsi_threshold, "high_chase_thr": high_chase_thr, "time_start_hm": time_start_hm, "time_end_hm": time_end_hm, "cooldown_min": cooldown_min, "max_daily": max_daily, + "min_price": min_price, "max_daily_change": max_daily_change, "ma20_max_above": ma20_max_above, + "stop_atr_mult": stop_atr_mult, "target_atr_mult": target_atr_mult, "max_loss_krw": max_loss_krw, + "min_drop_pct_for_loss_cut": min_drop_pct_for_loss_cut, + "risk_pct": risk_pct, "kelly_mult": kelly_mult, "min_hold_sec": min_hold_sec, "capital": capital, + "scan_interval_min": 5, } - all_trades = te.run_tail_backtest(candles_by_code, params) + # 유니버스: 저장된 이력(target_candidates_history) 우선, 없으면 전체 종목 + universe_by_slot = None + try: + history = db.get_universe_history_for_backtest(start_key[:8], end_key[:8]) + if history: + universe_by_slot = history + universe_source = "history" + universe_history_slots = len(history) + except Exception: + pass + all_trades = te.run_tail_backtest(candles_by_code, params, universe_by_slot=universe_by_slot) for t in all_trades: - qty = max(1, int(slot_money / t["entry"])) + # 엔진이 동적 수량(qty)을 내려주면 사용하고, 없으면 기존 고정 투자금 적용 (하위 호환성) + qty = t.get("qty") + if qty is None: + qty = max(1, int(slot_money / t["entry"])) fee = (t["entry"] + t["exit"]) * qty * fee_rate tax = t["exit"] * qty * sell_tax t["pnl"] = round((t["exit"] - t["entry"]) * qty - fee - tax) @@ -671,6 +819,9 @@ def api_backtest_tail(): for t in all_trades: reasons[t["reason"]] = reasons.get(t["reason"], 0) + 1 + tail_trades_out = all_trades[-200:] + _enrich_trades_with_names(db, tail_trades_out) + return jsonify({ "params": { "start": start, "end": end, @@ -690,7 +841,19 @@ def api_backtest_tail(): "time_end_hm": time_end_hm, "time_window": f"{time_start_hm:04d}-{time_end_hm:04d}", "max_daily": max_daily, + "min_price": min_price, + "max_daily_change": max_daily_change, + "ma20_max_above": ma20_max_above, + "stop_atr_mult": stop_atr_mult, + "target_atr_mult": target_atr_mult, + "max_loss_krw": max_loss_krw, + "risk_pct": risk_pct * 100, + "kelly_mult": kelly_mult, + "min_hold_sec": min_hold_sec, + "capital": capital, "codes_analyzed": len(codes), + "universe_source": universe_source, + "universe_history_slots": universe_history_slots, }, "summary": { "total_trades": total, @@ -705,7 +868,7 @@ def api_backtest_tail(): "equity": equity, "daily": daily_list, "reasons": reasons, - "trades": all_trades[-200:], + "trades": tail_trades_out, }) finally: db.close() @@ -1205,10 +1368,11 @@ def api_scalping_param_search(): top_n = int(request.args.get("top", 10)) min_tr = int(request.args.get("min_trades", 3)) - # 그리드 외 파라미터: JS가 현재 UI 값을 전달하면 사용, 없으면 Python 기본값 + # 그리드 외 파라미터: JS가 현재 UI 값을 전달하면 사용, 없으면 Python 기본값 (방어로직 포함) _SCALP_NON_GRID_KEYS = [ - "rsi_period", "slot_money", "cooldown_min", "vol_mult", + "rsi_period", "rsi_overbought", "slot_money", "cooldown_min", "vol_mult", "trail_trigger", "trail_stop", "time_start", "time_end", "max_daily", + "high_chase_thr", "max_daily_chg", "min_price", "max_loss_krw", "min_margin", "use_defense_filters", ] base_params = {"start": start, "end": end} for k in _SCALP_NON_GRID_KEYS: @@ -1255,6 +1419,8 @@ def api_scalping_save_config(): # UI % 단위 → 봇이 사용하는 소수 단위로 변환 if "rsi_oversold" in body: snap["SCALP_RSI_OVERSOLD"] = str(float(body["rsi_oversold"])) + if "rsi_overbought" in body: + snap["SCALP_RSI_OVERBOUGHT"] = str(float(body["rsi_overbought"])) if "sl_pct" in body: snap["SCALP_STOP_LOSS_PCT"] = str(float(body["sl_pct"]) / 100) if "tp_pct" in body: @@ -1265,10 +1431,28 @@ def api_scalping_save_config(): snap["SCALP_ATR_UP_MULT"] = str(float(body["trail_trigger"])) if "cooldown_min" in body: snap["SCALP_COOLDOWN_SEC"] = str(int(float(body["cooldown_min"])) * 60) + # 스캘핑 전용 방어로직 (꼬리잡기와 값 분리) + if "high_chase_thr" in body: + snap["SCALP_HIGH_PRICE_CHASE_THRESHOLD"] = str(float(body["high_chase_thr"])) + if "max_daily_chg" in body: + snap["SCALP_MAX_DAILY_CHANGE_PCT"] = str(float(body["max_daily_chg"])) + if "min_price" in body: + snap["SCALP_MIN_PRICE"] = str(int(float(body["min_price"]))) + if "max_loss_krw" in body: + snap["SCALP_MAX_LOSS_PER_TRADE_KRW"] = str(int(float(body["max_loss_krw"]))) + if "min_margin" in body: + snap["SCALP_MIN_PROFIT_PCT"] = str(float(body["min_margin"])) # % 단위 그대로 (0.2 등) + if "min_drop_pct_for_loss_cut" in body: + v = float(body["min_drop_pct_for_loss_cut"]) + snap["SCALP_MIN_DROP_PCT_FOR_LOSS_CUT"] = str(v) if v >= 1 else str(v * 100) # % 단위 (1.5) + if "use_defense_filters" in body: + snap["SCALP_USE_DEFENSE_FILTERS"] = "true" if bool(body["use_defense_filters"]) else "false" + saved_keys = [ + "SCALP_RSI_OVERSOLD", "SCALP_RSI_OVERBOUGHT", "SCALP_STOP_LOSS_PCT", "SCALP_TAKE_PROFIT_PCT", "SCALP_MIN_DROP_RATE", + "SCALP_HIGH_PRICE_CHASE_THRESHOLD", "SCALP_MAX_DAILY_CHANGE_PCT", "SCALP_MIN_PRICE", "SCALP_MAX_LOSS_PER_TRADE_KRW", "SCALP_MIN_DROP_PCT_FOR_LOSS_CUT", "SCALP_MIN_PROFIT_PCT", "SCALP_USE_DEFENSE_FILTERS", + ] env_id = db.insert_env_snapshot(snap) - return jsonify({"ok": True, "env_id": env_id, "saved_keys": [ - "SCALP_RSI_OVERSOLD","SCALP_STOP_LOSS_PCT","SCALP_TAKE_PROFIT_PCT","SCALP_MIN_DROP_RATE" - ]}) + return jsonify({"ok": True, "env_id": env_id, "saved_keys": saved_keys}) except Exception as e: logger.error(f"스캘핑 설정저장 오류: {e}") return jsonify({"error": str(e)}), 500 @@ -1288,6 +1472,9 @@ def api_tail_param_search(): _TAIL_NON_GRID_KEYS = [ "slot_money", "tail_ratio_min", "shoulder_min_high", "shoulder_cut_pct", "rsi_threshold", "cooldown_min", "time_start", "time_end", "max_daily", + "tail_pct_min", "max_rec_3m", "high_chase_thr", + "min_price", "max_daily_change", "ma20_max_above", + "stop_atr_mult", "target_atr_mult", "max_loss_krw", ] base_params = {"start": start, "end": end} for k in _TAIL_NON_GRID_KEYS: @@ -1364,12 +1551,29 @@ def api_tail_save_config(): snap["MAX_RECOVERY_RATIO_3M"] = str(float(body["max_rec_3m"]) / 100) if "high_chase_thr" in body: snap["HIGH_PRICE_CHASE_THRESHOLD"] = str(float(body["high_chase_thr"]) / 100) + # ── 방어 로직 (V3) 추가 저장 (tail_engine이 읽는 DB 키 사용) ── + if "min_price" in body: + snap["MIN_PRICE_TAIL"] = str(float(body["min_price"])) + if "max_daily_change" in body: + snap["MAX_DAILY_CHANGE_PCT"] = str(float(body["max_daily_change"])) + if "ma20_max_above" in body: + snap["MA20_MAX_ABOVE_PCT"] = str(float(body["ma20_max_above"])) + if "stop_atr_mult" in body: + snap["STOP_ATR_MULTIPLIER_TAIL"] = str(float(body["stop_atr_mult"])) + if "target_atr_mult" in body: + snap["TARGET_ATR_MULTIPLIER_TAIL"] = str(float(body["target_atr_mult"])) + if "max_loss_krw" in body: + snap["MAX_LOSS_PER_TRADE_KRW"] = str(int(body["max_loss_krw"])) + if "min_drop_pct_for_loss_cut" in body: + v = float(body["min_drop_pct_for_loss_cut"]) + snap["MIN_DROP_PCT_FOR_LOSS_CUT"] = str(v) if v >= 1 else str(v * 100) # % 단위로 저장 (1.5 또는 0.015 → 1.5) env_id = db.insert_env_snapshot(snap) return jsonify({"ok": True, "env_id": env_id, "saved_keys": [ "MIN_DROP_RATE","MIN_RECOVERY_RATIO_SHORT","STOP_LOSS_PCT", "TAKE_PROFIT_PCT","TAIL_RATIO_MIN","TAIL_PCT_MIN","SHOULDER_CUT_PCT", "REENTRY_COOLDOWN_SEC","RSI_OVERHEAT_THRESHOLD","RSI_PERIOD", - "TIME_START","TIME_END","MAX_STOCKS","MAX_RECOVERY_RATIO_3M","HIGH_PRICE_CHASE_THRESHOLD" + "TIME_START","TIME_END","MAX_STOCKS","MAX_RECOVERY_RATIO_3M","HIGH_PRICE_CHASE_THRESHOLD", + "MIN_PRICE_TAIL","MAX_DAILY_CHANGE_PCT","MA20_MAX_ABOVE_PCT","STOP_ATR_MULTIPLIER_TAIL","TARGET_ATR_MULTIPLIER_TAIL","MAX_LOSS_PER_TRADE_KRW","MIN_DROP_PCT_FOR_LOSS_CUT" ]}) except Exception as e: logger.error(f"꼬리잡기 설정저장 오류: {e}") @@ -1436,15 +1640,31 @@ def api_env_params(): pass return default + # 스캘핑 방어로직: SCALP_* 우선, 없으면 꼬리잡기 공용 키 fallback (전략별 값 분리) + scalp_high_chase = fv("SCALP_HIGH_PRICE_CHASE_THRESHOLD") or fv("HIGH_PRICE_CHASE_THRESHOLD") + scalp_max_daily = fv("SCALP_MAX_DAILY_CHANGE_PCT") or fv("MAX_DAILY_CHANGE_PCT") + scalp_min_price = fv("SCALP_MIN_PRICE") or fv("MIN_PRICE_TAIL") + scalp_max_loss = fv("SCALP_MAX_LOSS_PER_TRADE_KRW") or fv("MAX_LOSS_PER_TRADE_KRW") + scalp_min_margin = fv("SCALP_MIN_PROFIT_PCT") + scalp_use_def = fv("SCALP_USE_DEFENSE_FILTERS") return jsonify({ "scalp": { "rsi_oversold": fv("SCALP_RSI_OVERSOLD"), # 과매도 임계값 (숫자 그대로) + "rsi_overbought": fv("SCALP_RSI_OVERBOUGHT"), # 과열 임계값 (이 값 초과 시 진입 금지) "sl_pct": smart_pct("SCALP_STOP_LOSS_PCT"), # 소수/퍼센트 자동감지 "tp_pct": smart_pct("SCALP_TAKE_PROFIT_PCT"), "drop_rate": smart_pct("SCALP_MIN_DROP_RATE"), "trail_trigger": fv("SCALP_ATR_UP_MULT"), # 배수 그대로 "cooldown_min": sec_to_min("SCALP_COOLDOWN_SEC"), # 스캘핑 전용 (꼬리잡기 REENTRY_COOLDOWN_SEC 와 분리) "slot_money": fv("SLOT_MONEY_DEFAULT"), + # 방어로직 (스캘핑 전용 env — 웹 입력란·저장·백테스트 반영) + "high_chase_thr": float(scalp_high_chase) if scalp_high_chase not in (None, "") else 0.96, + "max_daily_chg": float(scalp_max_daily) if scalp_max_daily not in (None, "") else 20.0, + "min_price": float(scalp_min_price) if scalp_min_price not in (None, "") else 1000.0, + "max_loss_krw": int(float(scalp_max_loss)) if scalp_max_loss not in (None, "") else 200000, + "min_drop_pct_for_loss_cut": (lambda v: (v * 100 if v is not None and v < 1 else v) if v is not None else 1.5)(fv("SCALP_MIN_DROP_PCT_FOR_LOSS_CUT")), + "min_margin": float(scalp_min_margin) if scalp_min_margin not in (None, "") else 0.2, + "use_defense_filters": str(scalp_use_def).strip().lower() in ("1", "true", "y", "yes", "on") if scalp_use_def not in (None, "") else True, }, "tail": { "drop": smart_pct("MIN_DROP_RATE"), @@ -1464,6 +1684,14 @@ def api_env_params(): # 비율(0~1) 저장값을 폼 퍼센트 표시용으로 80·96 형태로 반환 (백테 API는 80→0.8로 변환) "max_rec_3m": _ratio_to_pct(fv("MAX_RECOVERY_RATIO_3M"), 80), "high_chase": _ratio_to_pct(fv("HIGH_PRICE_CHASE_THRESHOLD"), 96), + # 방어 로직 (V3) — tail_engine과 동일 DB 키 + "min_price": fv("MIN_PRICE_TAIL"), + "max_daily_change": fv("MAX_DAILY_CHANGE_PCT"), + "ma20_max_above": fv("MA20_MAX_ABOVE_PCT"), + "stop_atr_mult": fv("STOP_ATR_MULTIPLIER_TAIL"), + "target_atr_mult": fv("TARGET_ATR_MULTIPLIER_TAIL"), + "max_loss_krw": fv("MAX_LOSS_PER_TRADE_KRW"), + "min_drop_pct_for_loss_cut": (lambda v: (v * 100 if v is not None and v < 1 else v) if v is not None else 1.5)(fv("MIN_DROP_PCT_FOR_LOSS_CUT")), # 금액손실컷 발동 최소 하락률(%) }, }) finally: @@ -1639,6 +1867,7 @@ HTML_TEMPLATE = r"""
평균 보유(분)
-
+ + +
+
+ +
+ + +
+
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
@@ -1773,7 +2036,7 @@ HTML_TEMPLATE = r"""
🔍 파라미터탐색 결과 (수익 기준 정렬)
- +
#RSI과매도손절%익절%낙폭%
#RSI과매도RSI과열손절%익절%낙폭%방어 손익(원)승률%거래수PFMDD
@@ -1787,6 +2050,7 @@ HTML_TEMPLATE = r""" + @@ -1820,7 +2084,7 @@ HTML_TEMPLATE = r"""
승률
-
-
순손익(수수료 제외)
-
+
순손익(수수료·세금 포함)
-
Profit Factor
-
@@ -1867,6 +2131,7 @@ HTML_TEMPLATE = r"""
가상 거래 내역 (최근 200건)
+
RSI 기간RSI 계산 캔들 수 → 봇: 3 (SCALP_RSI_PERIOD 고정)
RSI 과매도이 값 이하일 때 매수 신호 → 봇 DB: SCALP_RSI_OVERSOLD=25
RSI 과열이 값 초과면 진입 금지 (고점 추격 방지) → 봇 DB: SCALP_RSI_OVERBOUGHT=75
손절(%)매수가 대비 하락 시 손절 → 봇 DB: SCALP_STOP_LOSS_PCT=1.5%
익절(%)매수가 대비 상승 시 익절 → 봇 DB: SCALP_TAKE_PROFIT_PCT=1.5%
낙폭필터(%)당일 시가→저가 낙폭이 이 값 이상이어야 진입 → 봇 DB: SCALP_MIN_DROP_RATE=1.5%
@@ -1942,6 +2207,37 @@ HTML_TEMPLATE = r""" + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ + +
+
@@ -1958,11 +2254,11 @@ HTML_TEMPLATE = r"""
- +
- +
@@ -2027,7 +2323,7 @@ HTML_TEMPLATE = r"""
승률
-
-
순손익(수수료 제외)
-
+
순손익(수수료·세금 포함)
-
Profit Factor
-
@@ -2073,6 +2369,7 @@ HTML_TEMPLATE = r"""
가상 거래 내역 (최근 200건)
+
@@ -2337,12 +2634,22 @@ document.querySelectorAll('[data-tab]').forEach(el => { // 스캘핑 탭 const s = d.scalp || {}; set('bt_rsi_oversold', s.rsi_oversold); + set('bt_rsi_overbought', s.rsi_overbought); set('bt_sl', s.sl_pct); set('bt_tp', s.tp_pct); set('bt_drop', s.drop_rate); set('bt_trail_trig', s.trail_trigger); set('bt_cooldown', s.cooldown_min); if (s.slot_money) set('bt_slot', s.slot_money); + if (s.high_chase_thr != null) set('bt_high_chase', s.high_chase_thr); + if (s.max_daily_chg != null) set('bt_max_daily_chg', s.max_daily_chg); + if (s.min_price != null) set('bt_min_price', s.min_price); + if (s.max_loss_krw != null) set('bt_max_loss_krw', s.max_loss_krw); + if (s.min_margin != null) set('bt_min_margin', s.min_margin); + if (s.use_defense_filters !== undefined && $('bt_use_defense')) { + const v = String(s.use_defense_filters).trim().toLowerCase(); + $('bt_use_defense').checked = (v === '1' || v === 'true' || v === 'y' || v === 'yes' || v === 'on'); + } // 꼬리잡기 탭 — DB(env_config)와 동일 값으로 채움 (실매·파라서치와 동일) const t = d.tail || {}; @@ -2362,8 +2669,21 @@ document.querySelectorAll('[data-tab]').forEach(el => { set('tl_tail_pct', t.tail_pct_min); set('tl_max_rec_3m', t.max_rec_3m); set('tl_high_chase', t.high_chase); + // V3 방어 파라미터 + set('tl_min_price', t.min_price); + set('tl_max_daily_change', t.max_daily_change); + set('tl_ma20_above', t.ma20_max_above); + set('tl_max_loss_krw', t.max_loss_krw); + if (t.min_drop_pct_for_loss_cut != null) set('tl_min_drop_loss_cut', t.min_drop_pct_for_loss_cut); + set('tl_stop_atr', t.stop_atr_mult); + set('tl_target_atr', t.target_atr_mult); }) .catch(() => { /* DB 연결 실패 시 HTML 기본값 유지 */ }); + + const defChk = $('bt_use_defense'); + if (defChk) { + defChk.addEventListener('change', saveScalpDefenseRealtime); + } })(); // ──────────────────────────────────────────── @@ -2385,6 +2705,7 @@ function loadActual() { function renderActual(d) { const s = d.summary; + const filtered = Number((d.meta || {}).filtered_forced_rows || 0); $('a_total').textContent = fmt(s.total_trades) + '건'; $('a_winrate').textContent = s.win_rate + '%'; @@ -2398,6 +2719,19 @@ function renderActual(d) { $('a_mdd').textContent = '-' + fmt(s.max_drawdown) + '원'; $('a_hold').textContent = s.avg_hold_min + '분'; + const note = $('act_filter_note'); + if (note) { + if (filtered > 0) { + note.style.display = ''; + note.innerHTML = `⚠️ 집계 제외: 0원 강제정리 ${filtered}건 (잔고 동기화 레코드)`; + } else { + note.style.display = 'none'; + note.innerHTML = ''; + } + } + if (filtered > 0) { + console.log(`[실거래 분석] 0원 강제정리 ${filtered}건 제외 후 집계`); + } // 승/패 바 if (s.total_trades > 0) { @@ -2463,6 +2797,7 @@ function runScalpParamSearch() { const base = new URLSearchParams({ start, end, top: 10, min_trades: 3, rsi_period: $('bt_rsi_period').value, + rsi_overbought: $('bt_rsi_overbought')?.value || 75, slot_money: $('bt_slot').value, cooldown_min: $('bt_cooldown').value, vol_mult: $('bt_vol_mult').value, @@ -2471,6 +2806,12 @@ function runScalpParamSearch() { time_start: $('bt_time_start').value, time_end: $('bt_time_end').value, max_daily: $('bt_max_daily').value, + high_chase_thr: $('bt_high_chase').value, + max_daily_chg: $('bt_max_daily_chg').value, + min_price: $('bt_min_price').value, + max_loss_krw: $('bt_max_loss_krw').value, + min_margin: $('bt_min_margin').value, + use_defense_filters: $('bt_use_defense')?.checked ? 1 : 0, }).toString(); showSpinner(true); fetch('/api/backtest/scalping/param_search?' + base) @@ -2486,12 +2827,13 @@ function runScalpParamSearch() { const p = r.params; tbody.insertAdjacentHTML('beforeend', ` - + + + onclick="applyScalpParams(${p.rsi_oversold},${p.rsi_overbought ?? 75},${p.sl_pct},${p.tp_pct},${p.drop_rate})">적용`); }); $('scalp_search_result').style.display = ''; @@ -2500,25 +2842,34 @@ function runScalpParamSearch() { .catch(e => { showSpinner(false); alert('오류: ' + e); }); } -function applyScalpParams(rsi_oversold, sl_pct, tp_pct, drop_rate) { +function applyScalpParams(rsi_oversold, rsi_overbought, sl_pct, tp_pct, drop_rate) { + if (arguments.length === 4) { drop_rate = tp_pct; tp_pct = sl_pct; sl_pct = rsi_overbought; rsi_overbought = 75; } $('bt_rsi_oversold').value = rsi_oversold; + if ($('bt_rsi_overbought')) $('bt_rsi_overbought').value = rsi_overbought; $('bt_sl').value = sl_pct; $('bt_tp').value = tp_pct; $('bt_drop').value = drop_rate; - alert(`✅ 파라미터 적용 완료\nRSI과매도:${rsi_oversold} / 손절:${sl_pct}% / 익절:${tp_pct}% / 낙폭:${drop_rate}%\n\n백테스트를 다시 실행하세요.`); + alert(`✅ 파라미터 적용 완료\nRSI과매도:${rsi_oversold} / RSI과열:${rsi_overbought} / 손절:${sl_pct}% / 익절:${tp_pct}% / 낙폭:${drop_rate}%\n\n백테스트를 다시 실행하세요.`); } function saveScalpConfig() { const body = { rsi_oversold: parseFloat($('bt_rsi_oversold').value), + rsi_overbought: parseFloat($('bt_rsi_overbought')?.value || 75), sl_pct: parseFloat($('bt_sl').value), tp_pct: parseFloat($('bt_tp').value), drop_rate: parseFloat($('bt_drop').value), trail_trigger: parseFloat($('bt_trail_trig').value), cooldown_min: parseFloat($('bt_cooldown').value), + high_chase_thr: parseFloat($('bt_high_chase').value), + max_daily_chg: parseFloat($('bt_max_daily_chg').value), + min_price: parseFloat($('bt_min_price').value), + max_loss_krw: parseFloat($('bt_max_loss_krw').value), + min_margin: parseFloat($('bt_min_margin').value), + use_defense_filters: !!($('bt_use_defense')?.checked), }; - if (!confirm(`💾 스캘핑 봇(kis_scalping_ver1.py)에 아래 파라미터를 저장합니까?\n\n` + - `RSI과매도: ${body.rsi_oversold}\n손절: ${body.sl_pct}%\n익절: ${body.tp_pct}%\n낙폭필터: ${body.drop_rate}%\n` + + if (!confirm(`💾 스캘핑 봇에 아래 파라미터를 저장합니까?\n\n` + + `RSI과매도: ${body.rsi_oversold} / RSI과열: ${body.rsi_overbought}\n손절: ${body.sl_pct}%\n익절: ${body.tp_pct}%\n낙폭필터: ${body.drop_rate}%\n` + `\n⚠️ 봇이 실행 중이면 다음 루프부터 즉시 반영됩니다.`)) return; fetch('/api/backtest/scalping/save_config', { method: 'POST', headers: {'Content-Type': 'application/json'}, @@ -2529,6 +2880,27 @@ function saveScalpConfig() { }).catch(e => alert('오류: ' + e)); } +// 방어 ON/OFF 토글은 클릭 즉시 DB 저장 (실시간 반영) +async function saveScalpDefenseRealtime() { + const enabled = !!($('bt_use_defense')?.checked); + try { + const r = await fetch('/api/backtest/scalping/save_config', { + method: 'POST', + headers: {'Content-Type': 'application/json'}, + body: JSON.stringify({ use_defense_filters: enabled }), + }); + const d = await r.json(); + if (d.error) { + alert('❌ 방어로직 저장 실패: ' + d.error); + return; + } + // 현재 값으로 즉시 백테스트 재실행해서 카드/요약도 동기화 + runBacktest(); + } catch (e) { + alert('오류: ' + e); + } +} + // ── 꼬리잡기 파라미터탐색 ──────────────────────────────────────────────────── function runTailParamSearch() { const start = $('tl_start').value; @@ -2546,6 +2918,16 @@ function runTailParamSearch() { time_start: $('tl_ts').value, time_end: $('tl_te').value, max_daily: $('tl_maxd').value, + tail_pct_min: $('tl_tail_pct').value, + max_rec_3m: $('tl_max_rec_3m').value, + high_chase_thr: $('tl_high_chase').value, + min_price: $('tl_min_price').value, + max_daily_change: $('tl_max_daily_change').value, + ma20_max_above: $('tl_ma20_above').value, + max_loss_krw: $('tl_max_loss_krw').value, + min_drop_pct_for_loss_cut: parseFloat($('tl_min_drop_loss_cut').value) / 100 || 0.015, + stop_atr_mult: $('tl_stop_atr').value, + target_atr_mult: $('tl_target_atr').value, }).toString(); showSpinner(true); fetch('/api/backtest/tail/param_search?' + base) @@ -2602,11 +2984,19 @@ function saveTailConfig() { time_start: parseInt($('tl_ts').value, 10), time_end: parseInt($('tl_te').value, 10), max_daily: parseInt($('tl_maxd').value, 10), + min_price: parseFloat($('tl_min_price').value), + max_daily_change: parseFloat($('tl_max_daily_change').value), + ma20_max_above: parseFloat($('tl_ma20_above').value), + max_loss_krw: parseInt($('tl_max_loss_krw').value, 10), + min_drop_pct_for_loss_cut: parseFloat($('tl_min_drop_loss_cut').value) || 1.5, // % 단위로 전송 (1.5) + stop_atr_mult: parseFloat($('tl_stop_atr').value), + target_atr_mult: parseFloat($('tl_target_atr').value), }; if (!confirm(`💾 꼬리잡기 봇(실매·백테와 동일 DB)에 아래 파라미터를 저장합니까?\n\n` + `낙폭: ${body.min_drop_rate}% | 회복: ${body.min_recovery_ratio}% | 꼬리/몸통: ${body.tail_ratio_min} | 꼬리최소: ${body.tail_pct_min}%\n` + `손절: ${body.sl_pct}% | 익절: ${body.tp_pct}% | 어깨컷: ${body.shoulder_cut_pct}% | 3분최대회복: ${body.max_rec_3m}% | 고점추격방지: ${body.high_chase_thr}%\n` + - `RSI기간: ${body.rsi_period} | RSI과열: ${body.rsi_threshold} | 쿨다운: ${body.cooldown_min}분 | 매수시간: ${body.time_start}-${body.time_end} | 일일최대: ${body.max_daily}회\n\n` + + `최소가격: ${body.min_price}원 | 최대급등: ${body.max_daily_change}% | MA20이격: ${body.ma20_max_above}% | 최대손실: ${body.max_loss_krw}원\n` + + `ATR손절: ${body.stop_atr_mult}배 | ATR익절: ${body.target_atr_mult}배\n\n` + `⚠️ STOP_LOSS_PCT는 음수로 저장됩니다. 봇 실행 중이면 다음 루프부터 반영됩니다.`)) return; fetch('/api/backtest/tail/save_config', { method: 'POST', headers: {'Content-Type': 'application/json'}, @@ -2624,6 +3014,7 @@ function runBacktest() { end: $('bt_end').value, rsi_period: $('bt_rsi_period').value, rsi_oversold: $('bt_rsi_oversold').value, + rsi_overbought: $('bt_rsi_overbought').value, sl_pct: $('bt_sl').value, tp_pct: $('bt_tp').value, drop_rate: $('bt_drop').value, @@ -2635,6 +3026,12 @@ function runBacktest() { time_start: $('bt_time_start').value, time_end: $('bt_time_end').value, max_daily: $('bt_max_daily').value, + high_chase_thr: $('bt_high_chase').value, + max_daily_chg: $('bt_max_daily_chg').value, + min_price: $('bt_min_price').value, + max_loss_krw: $('bt_max_loss_krw').value, + min_margin: $('bt_min_margin').value, + use_defense_filters: $('bt_use_defense')?.checked ? 1 : 0, }; const qs = new URLSearchParams(params).toString(); showSpinner(true); @@ -2649,13 +3046,25 @@ function renderBacktest(d) { const p = d.params; $('bt_params_bar').style.display = ''; - $('bt_params_bar').innerHTML = - `RSI(${p.rsi_period}) <${p.rsi_oversold} | ` + - `손절-${p.sl_pct}% 익절+${p.tp_pct}% | ` + - `낙폭≥${p.drop_rate}% | 쿨다운${p.cooldown_min}분 | ` + - `거래량${p.vol_mult}배 | 트레일(${p.trail_trigger}%발동/${p.trail_stop}%추적) | ` + + const universeLabel = (p.universe_source === 'history' && p.universe_history_slots > 0) + ? `유니버스: 저장 이력 ${p.universe_history_slots}슬롯` + : '유니버스: 시뮬레이션(폴백)'; + const tr = (v) => (typeof v === 'number' ? Number(v).toFixed(1) : v); + const btSummaryLine = + `${universeLabel} ` + + `방어:${p.use_defense_filters ? 'ON' : 'OFF'} ` + + `RSI(${p.rsi_period}) <${p.rsi_oversold} / >${p.rsi_overbought ?? 75} 과열차단 | ` + + `손절-${tr(p.sl_pct)}% 익절+${tr(p.tp_pct)}% | ` + + `낙폭≥${tr(p.drop_rate)}% | 쿨다운${p.cooldown_min}분 | ` + + `거래량${tr(p.vol_mult)}배 | 트레일(${tr(p.trail_trigger)}%발동/${tr(p.trail_stop)}%추적) | ` + `${p.time_window} | 일${p.max_daily}회 | ` + `종목수 ${p.codes_analyzed}개`; + $('bt_params_bar').innerHTML = btSummaryLine; + const ctx = $('bt_trade_context'); + if (ctx) { + ctx.innerHTML = '📋 ' + btSummaryLine; + ctx.style.display = ''; + } $('b_total').textContent = fmt(s.total_trades) + '건'; $('b_winrate').textContent = s.win_rate + '%'; @@ -2699,9 +3108,10 @@ function renderBacktest(d) { const pnlCls = pnl > 0 ? 'text-pnl-pos' : (pnl < 0 ? 'text-pnl-neg' : ''); const bt = t.buy_time || ''; const st = t.sell_time || ''; + const nameCell = (t.name || t.code) ? `${t.name || t.code}
${t.code}` : t.code; tbody.insertAdjacentHTML('beforeend', ` - + @@ -2740,6 +3150,13 @@ function runTailBacktest() { time_end: $('tl_te').value, max_daily: $('tl_maxd').value, slot_money: $('tl_slot').value, + min_price: $('tl_min_price').value, + max_daily_change: $('tl_max_daily_change').value, + ma20_max_above: $('tl_ma20_above').value, + max_loss_krw: $('tl_max_loss_krw').value, + min_drop_pct_for_loss_cut: (parseFloat($('tl_min_drop_loss_cut').value) / 100) || 0.015, + stop_atr_mult: $('tl_stop_atr').value, + target_atr_mult: $('tl_target_atr').value, }; const qs = new URLSearchParams(params).toString(); showSpinner(true); @@ -2754,10 +3171,21 @@ function renderTailBacktest(d) { const p = d.params; $('tl_params_bar').style.display = ''; - $('tl_params_bar').innerHTML = + const tlUniverseLabel = (p.universe_source === 'history' && (p.universe_history_slots || 0) > 0) + ? `유니버스: 저장 이력 ${p.universe_history_slots}슬롯` + : '유니버스: 전체종목(폴백)'; + const tlSummaryLine = + `${tlUniverseLabel} ` + `낙폭≥${p.min_drop_rate}% | 회복률≥${p.min_recovery_ratio}% | 꼬리/몸통≥${p.tail_ratio_min} | ` + `손절-${p.sl_pct}% 익절+${p.tp_pct}% | 어깨컷(${p.shoulder_min_high}%발동/${p.shoulder_cut_pct}%하락) | ` + + (p.max_loss_krw != null ? `최대손실컷 ${Number(p.max_loss_krw).toLocaleString()}원 | ` : '') + `RSI(${p.rsi_period})과열<${p.rsi_threshold} | 쿨다운${p.cooldown_min}분 | ${p.time_window || '930-1500'} | 일${p.max_daily || 3}회 | 종목수 ${p.codes_analyzed}개`; + $('tl_params_bar').innerHTML = tlSummaryLine; + const tlCtx = $('tl_trade_context'); + if (tlCtx) { + tlCtx.innerHTML = '📋 ' + tlSummaryLine; + tlCtx.style.display = ''; + } $('tl_total').textContent = (s.total_trades||0) + '건'; $('tl_winrate').textContent = (s.win_rate||0) + '%'; @@ -2814,9 +3242,10 @@ function renderTailBacktest(d) { if (!ct || ct.length < 12) return ct || ''; return ct.slice(0,4)+'-'+ct.slice(4,6)+'-'+ct.slice(6,8)+' '+ct.slice(8,10)+':'+ct.slice(10,12); } + const nameCell = (t.name || t.code) ? `${t.name || t.code}
${t.code}` : t.code; tbody.insertAdjacentHTML('beforeend', ` - + diff --git a/backup.sql b/backup.sql new file mode 100644 index 0000000..4cb609b --- /dev/null +++ b/backup.sql @@ -0,0 +1,48790 @@ +/*M!999999\- enable the sandbox mode */ +-- MariaDB dump 10.19 Distrib 10.11.14-MariaDB, for debian-linux-gnu (x86_64) +-- +-- Host: 192.168.0.141 Database: kis_quant_db +-- ------------------------------------------------------ +-- Server version 10.11.16-MariaDB-ubu2204 + +/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */; +/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */; +/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */; +/*!40101 SET NAMES utf8mb4 */; +/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */; +/*!40103 SET TIME_ZONE='+00:00' */; +/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */; +/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */; +/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */; +/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */; + +-- +-- Table structure for table `active_trades` +-- + +DROP TABLE IF EXISTS `active_trades`; +/*!40101 SET @saved_cs_client = @@character_set_client */; +/*!40101 SET character_set_client = utf8mb4 */; +CREATE TABLE `active_trades` ( + `code` varchar(20) NOT NULL, + `name` varchar(100) NOT NULL, + `strategy` varchar(50) NOT NULL DEFAULT 'MANUAL', + `avg_buy_price` double NOT NULL, + `current_price` double DEFAULT NULL, + `stop_price` double DEFAULT NULL, + `target_price` double DEFAULT NULL, + `max_price` double DEFAULT NULL, + `atr_entry` double DEFAULT NULL, + `target_qty` int(11) NOT NULL, + `current_qty` int(11) NOT NULL, + `total_invested` double DEFAULT NULL, + `status` text NOT NULL, + `buy_date` text NOT NULL, + `updated_at` text NOT NULL, + `size_class` text DEFAULT NULL, + `rsi` double DEFAULT NULL, + `volume_ratio` double DEFAULT NULL, + `tail_length_pct` double DEFAULT NULL, + `ma5_gap_pct` double DEFAULT NULL, + `ma20_gap_pct` double DEFAULT NULL, + `foreign_net_buy` double DEFAULT NULL, + `institution_net_buy` double DEFAULT NULL, + `market_hour` double DEFAULT NULL, + PRIMARY KEY (`code`,`strategy`) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci; +/*!40101 SET character_set_client = @saved_cs_client */; + +-- +-- Dumping data for table `active_trades` +-- + +LOCK TABLES `active_trades` WRITE; +/*!40000 ALTER TABLE `active_trades` DISABLE KEYS */; +INSERT INTO `active_trades` VALUES +('000390','삼화페인트','MANUAL',9970,10050,0,0,10050,0,30,30,0,'HOLDING','2026-03-10 11:16:08','2026-03-10 15:07:37',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('000440','중앙에너비스','MANUAL',33000,33550,0,0,34000,0,10,9,0,'HOLDING','2026-03-10 09:17:14','2026-03-12 13:59:29',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('002140','고려산업','MANUAL',2815,2860,0,0,2860,0,106,106,0,'HOLDING','2026-03-05 13:59:17','2026-03-05 14:10:37',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('004090','한국석유','MANUAL',21075,21300,0,0,21300,0,14,14,0,'HOLDING','2026-03-12 11:43:02','2026-03-12 12:45:01',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('005860','한일사료','MANUAL',4465,4480,0,0,4480,0,67,67,0,'HOLDING','2026-03-06 10:58:06','2026-03-06 10:58:22',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('005930','삼성전자','HOLDING',180300,NULL,NULL,NULL,NULL,NULL,4,4,721200,'T1','2026-03-13 09:00:55','2026-03-13 09:00:55',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('006920','모헨즈','MANUAL',5490,5510,0,0,5510,0,55,54,0,'HOLDING','2026-03-05 13:38:11','2026-03-05 14:34:54',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('008350','남선알미늄','MANUAL',1392,1442,0,0,1442,0,217,215,0,'HOLDING','2026-03-05 13:35:31','2026-03-06 09:05:17',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('010170','대한광통신','MANUAL',7550,7590,0,0,7590,0,39,39,0,'HOLDING','2026-03-13 11:17:00','2026-03-13 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13:40:00',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('380540','옵티코어','MANUAL',4895,4905,0,0,5010,0,61,61,0,'HOLDING','2026-03-16 10:00:06','2026-03-16 15:15:01',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('382900','범한퓨얼셀','MANUAL',34600,34950,0,0,34950,0,8,8,0,'HOLDING','2026-03-13 14:01:03','2026-03-13 14:03:05',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('412350','레이저쎌','MANUAL',5480,5500,0,0,5500,0,54,54,0,'HOLDING','2026-03-12 10:15:07','2026-03-12 10:19:47',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('466930','SOL 자동차TOP3플러스','HOLDING',21400,NULL,NULL,NULL,NULL,NULL,4,4,85600,'T1','2026-03-11 15:11:03','2026-03-11 15:11:03',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('474610','RF시스템즈','MANUAL',9090,9140,0,0,9140,0,33,33,0,'HOLDING','2026-03-13 14:17:04','2026-03-13 14:18:17',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('475150','SK이터닉스','MANUAL',26900,28650,0,0,29300,0,11,11,0,'HOLDING','2026-03-06 14:49:37','2026-03-10 09:05:24',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('476060','온코닉테라퓨틱스','MANUAL',22500,22600,0,0,22600,0,13,13,0,'HOLDING','2026-03-12 13:03:32','2026-03-12 13:21:52',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('950250','테라뷰','MANUAL',9070,9100,0,0,9180,0,34,33,0,'HOLDING','2026-03-13 09:19:02','2026-03-16 11:26:06',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL); +/*!40000 ALTER TABLE `active_trades` ENABLE KEYS */; +UNLOCK TABLES; + +-- +-- Table structure for table `ai_analysis_log` +-- + +DROP TABLE IF EXISTS `ai_analysis_log`; +/*!40101 SET @saved_cs_client = @@character_set_client */; +/*!40101 SET character_set_client = utf8mb4 */; +CREATE TABLE `ai_analysis_log` ( + `id` int(11) NOT NULL AUTO_INCREMENT, + `created_at` varchar(30) NOT NULL, + `model` varchar(50) NOT NULL, + `context_summary` text DEFAULT NULL, + `response` mediumtext DEFAULT NULL, + PRIMARY KEY (`id`) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci; +/*!40101 SET character_set_client = @saved_cs_client */; + +-- +-- Dumping data for table `ai_analysis_log` +-- + +LOCK TABLES `ai_analysis_log` WRITE; +/*!40000 ALTER TABLE `ai_analysis_log` DISABLE KEYS */; +/*!40000 ALTER TABLE `ai_analysis_log` ENABLE KEYS */; +UNLOCK TABLES; + +-- +-- Table structure for table `buy_execution_log` +-- + +DROP TABLE IF EXISTS `buy_execution_log`; +/*!40101 SET @saved_cs_client = @@character_set_client */; +/*!40101 SET character_set_client = utf8mb4 */; +CREATE TABLE `buy_execution_log` ( + `id` int(11) NOT NULL AUTO_INCREMENT, + `code` varchar(20) NOT NULL, + `name` varchar(100) NOT NULL, + `strategy` varchar(50) NOT NULL, + `buy_date` varchar(10) NOT NULL, + `executed_at` varchar(30) NOT NULL, + `amount` double NOT NULL, + `qty` int(11) NOT NULL, + PRIMARY KEY (`id`) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci; +/*!40101 SET character_set_client = @saved_cs_client */; + +-- +-- Dumping data for table `buy_execution_log` +-- + +LOCK TABLES `buy_execution_log` WRITE; +/*!40000 ALTER TABLE `buy_execution_log` DISABLE KEYS */; +/*!40000 ALTER TABLE `buy_execution_log` ENABLE KEYS */; +UNLOCK TABLES; + +-- +-- Table structure for table `daily_summary` +-- + +DROP TABLE IF EXISTS `daily_summary`; +/*!40101 SET @saved_cs_client = @@character_set_client */; +/*!40101 SET character_set_client = utf8mb4 */; +CREATE TABLE `daily_summary` ( + `date` varchar(10) NOT NULL, + `start_asset` double DEFAULT NULL, + `end_asset` double DEFAULT NULL, + `total_trades` int(11) DEFAULT NULL, + `win_trades` int(11) DEFAULT NULL, + `total_pnl` double DEFAULT NULL, + `win_rate` double DEFAULT NULL, + PRIMARY KEY (`date`) +) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_general_ci; +/*!40101 SET character_set_client = @saved_cs_client */; + +-- +-- Dumping data for table `daily_summary` +-- + +LOCK TABLES `daily_summary` WRITE; +/*!40000 ALTER TABLE `daily_summary` DISABLE KEYS */; +/*!40000 ALTER TABLE `daily_summary` ENABLE KEYS */; +UNLOCK TABLES; + +-- +-- Table structure for table `env_config` +-- + +DROP TABLE IF EXISTS `env_config`; +/*!40101 SET @saved_cs_client = @@character_set_client */; +/*!40101 SET character_set_client = utf8mb4 */; +CREATE TABLE `env_config` ( + `id` int(11) NOT NULL AUTO_INCREMENT, + `created_at` varchar(30) NOT NULL, + `STOP_LOSS_PCT` text DEFAULT NULL, + `SHOULDER_CUT_PCT` text DEFAULT NULL, + `SHOULDER_MIN_HIGH_PCT` text DEFAULT NULL, + `SHOULDER_MIN_NET_PCT` text DEFAULT NULL, + `STOP_ATR_MULTIPLIER_TAIL` text DEFAULT NULL, + `TARGET_ATR_MULTIPLIER_TAIL` text DEFAULT NULL, + `MAX_POSITION_PCT` text DEFAULT NULL, + `USE_SLOT_CAP` text DEFAULT NULL, + `SLOT_CAP_PCT` text DEFAULT NULL, + `MAX_STOCKS` text DEFAULT NULL, + `USE_KELLY` text DEFAULT NULL, + `RISK_PCT_PER_TRADE` text DEFAULT NULL, + `MIN_POSITION_AMOUNT` text DEFAULT NULL, + `USE_RISK_CHECK` text DEFAULT NULL, + `DAILY_STOP_LOSS_PCT` text DEFAULT NULL, + `CONSECUTIVE_LOSS_LIMIT` text DEFAULT NULL, + `USE_BAN_SYSTEM` text DEFAULT NULL, + `BAN_HOURS` text DEFAULT NULL, + `USE_STOCK_FILTER` text DEFAULT NULL, + `RSI_OVERHEAT_THRESHOLD` text DEFAULT NULL, + `MIN_RECOVERY_RATIO` text DEFAULT NULL, + `MAX_RECOVERY_RATIO` text DEFAULT NULL, + `USE_TWAP` text DEFAULT NULL, + `TWAP_MIN_SPLIT` text DEFAULT NULL, + `TWAP_MAX_SPLIT` text DEFAULT NULL, + `TWAP_MIN_DELAY` text DEFAULT NULL, + `TWAP_MAX_DELAY` text DEFAULT NULL, + `USE_ML_SIGNAL` text DEFAULT NULL, + `ML_MIN_PROBABILITY` text DEFAULT NULL, + `USE_NEWS_ANALYSIS` text DEFAULT NULL, + `NEWS_ANALYSIS_HOUR` text DEFAULT NULL, + `NEWS_MAX_COUNT` text DEFAULT NULL, + `USE_QUICK_PROFIT_PROTECTION` text DEFAULT NULL, + `HIGH_PRICE_CHASE_THRESHOLD` text DEFAULT NULL, + `MAX_DAILY_CHANGE_PCT` text DEFAULT NULL, + `MA20_MAX_ABOVE_PCT` text DEFAULT NULL, + `VOLUME_AVG_MULTIPLIER` text DEFAULT NULL, + `CANDLE_OPEN_PRICE_BUFFER` text DEFAULT NULL, + `MIN_CANDLE_LEN_TAIL` text DEFAULT NULL, + `MIN_PRICE_TAIL` text DEFAULT NULL, + `TAIL_SCORE_BASE` text DEFAULT 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11:32:14','💨 작은수익보호',NULL,NULL,NULL,NULL,0.7202881152460985,NULL,NULL,0,0,11), +(121,'229000','젠큐릭스','SHORT_ANT_SHAKING',4195,4140,4766,-1.3110846245530394,-262130,2,'2026-02-26 11:35:44','2026-02-26 11:38:27','금액손실컷',NULL,NULL,NULL,NULL,0.7202881152460985,NULL,NULL,0,0,11), +(122,'012210','삼미금속','SHORT_ANT_SHAKING',19640,19670,1018,0.15274949083503053,30540,1,'2026-02-26 11:36:35','2026-02-26 11:38:30','💨 작은수익보호',NULL,NULL,NULL,NULL,0.6663249615581752,NULL,NULL,0,0,11), +(123,'229000','젠큐릭스','SHORT_ANT_SHAKING',4170,4125,4795,-1.079136690647482,-215775,0,'2026-02-26 11:42:55','2026-02-26 11:43:42','금액손실컷',NULL,NULL,NULL,NULL,0.2403846153846154,NULL,NULL,0,0,11), +(124,'012210','삼미금속','SHORT_ANT_SHAKING',19140,18900,1044,-1.2539184952978055,-250560,5,'2026-02-26 11:41:44','2026-02-26 11:47:14','금액손실컷',NULL,NULL,NULL,NULL,0.47244094488188976,NULL,NULL,0,0,11), +(125,'229000','젠큐릭스','SHORT_ANT_SHAKING',4125,4115,4847,-0.24242424242424243,-48470,9,'2026-02-26 11:44:33','2026-02-26 11:54:29','💨 작은수익보호',NULL,NULL,NULL,NULL,0.24301336573511542,NULL,NULL,0,0,11), +(126,'187660','현대ADM','SHORT_ANT_SHAKING',19210,19000,1040,-1.0931806350858928,-218400,0,'2026-02-26 11:54:20','2026-02-26 11:55:10','금액손실컷',NULL,NULL,NULL,NULL,0.3133159268929504,NULL,NULL,0,0,11), +(127,'012210','삼미금속','SHORT_ANT_SHAKING',19340,19090,1033,-1.2926577042399172,-258250,2,'2026-02-26 11:53:22','2026-02-26 11:55:36','금액손실컷',NULL,NULL,NULL,NULL,0.363447559709242,NULL,NULL,0,0,11), +(128,'076610','해성옵틱스','SHORT_ANT_SHAKING',1425,1406,14032,-1.3333333333333335,-266608,18,'2026-02-26 11:41:26','2026-02-26 11:59:29','금액손실컷',NULL,NULL,NULL,NULL,0.21097046413502107,NULL,NULL,0,0,11), +(129,'012210','삼미금속','SHORT_ANT_SHAKING',18950,19020,1055,0.36939313984168864,73850,2,'2026-02-26 11:58:51','2026-02-26 12:00:51','💨 작은수익보호',NULL,NULL,NULL,NULL,0.3179650238473768,NULL,NULL,0,0,11), +(130,'229000','젠큐릭스','SHORT_ANT_SHAKING',4100,4210,4877,2.682926829268293,536470,4,'2026-02-26 11:57:30','2026-02-26 12:01:36','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.4920049200492005,NULL,NULL,0,0,11), +(131,'012860','모베이스전자','SHORT_ANT_SHAKING',5120,5110,3905,-0.1953125,-39050,6,'2026-02-26 11:55:50','2026-02-26 12:02:04','💨 작은수익보호',NULL,NULL,NULL,NULL,0.39215686274509803,NULL,NULL,0,0,11), +(132,'012210','삼미금속','SHORT_ANT_SHAKING',19020,19020,1051,0,0,2,'2026-02-26 12:01:26','2026-02-26 12:03:38','💨 작은수익보호',NULL,NULL,NULL,NULL,0.21074815595363539,NULL,NULL,0,0,12), +(133,'229000','젠큐릭스','SHORT_ANT_SHAKING',4210,4330,4749,2.8503562945368173,569880,1,'2026-02-26 12:02:14','2026-02-26 12:03:40','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.4778972520908005,NULL,NULL,0,0,12), +(134,'187660','현대ADM','SHORT_ANT_SHAKING',19020,19390,1051,1.9453207150368035,388870,5,'2026-02-26 12:00:41','2026-02-26 12:05:42','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.2635740643120717,NULL,NULL,0,0,12), +(135,'046890','서울반도체','SHORT_ANT_SHAKING',13680,13580,1461,-0.7309941520467835,-146100,5,'2026-02-26 12:04:26','2026-02-26 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12:21:53','💨 작은수익보호',NULL,NULL,NULL,NULL,0.21447721179624668,NULL,NULL,0,0,12), +(141,'187660','현대ADM','SHORT_ANT_SHAKING',19150,19140,1044,-0.05221932114882506,-10440,4,'2026-02-26 12:17:58','2026-02-26 12:22:54','💨 작은수익보호',NULL,NULL,NULL,NULL,0.20931449502878074,NULL,NULL,0,0,12), +(142,'229000','젠큐릭스','SHORT_ANT_SHAKING',4295,4280,4655,-0.3492433061699651,-69825,4,'2026-02-26 12:18:32','2026-02-26 12:22:56','💨 작은수익보호',NULL,NULL,NULL,NULL,0.46783625730994155,NULL,NULL,0,0,12), +(143,'229000','젠큐릭스','SHORT_ANT_SHAKING',4265,4285,4688,0.4689331770222743,93760,1,'2026-02-26 12:23:48','2026-02-26 12:25:40','💨 작은수익보호',NULL,NULL,NULL,NULL,0.23501762632197415,NULL,NULL,0,0,12), +(144,'187660','현대ADM','SHORT_ANT_SHAKING',19000,19000,1052,0,0,3,'2026-02-26 12:24:34','2026-02-26 12:28:11','💨 작은수익보호',NULL,NULL,NULL,NULL,0.21097046413502107,NULL,NULL,0,0,12), +(145,'076610','해성옵틱스','SHORT_ANT_SHAKING',1420,1416,14082,-0.28169014084507044,-56328,15,'2026-02-26 12:24:02','2026-02-26 12:39:15','💨 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12:50:40','금액손실컷',NULL,NULL,NULL,NULL,0.2366863905325444,NULL,NULL,0,0,12), +(151,'187660','현대ADM','SHORT_ANT_SHAKING',19210,18990,1040,-1.1452368558042685,-228800,10,'2026-02-26 12:43:55','2026-02-26 12:54:20','금액손실컷',NULL,NULL,NULL,NULL,0.20865936358894105,NULL,NULL,0,0,12), +(152,'076610','해성옵틱스','SHORT_ANT_SHAKING',1433,1465,13954,2.2330774598743894,446528,4,'2026-02-26 12:50:52','2026-02-26 12:54:57','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.3508771929824561,NULL,NULL,0,0,12), +(153,'229000','젠큐릭스','SHORT_ANT_SHAKING',4165,4105,4801,-1.440576230492197,-288060,4,'2026-02-26 12:51:23','2026-02-26 12:55:59','금액손실컷',NULL,NULL,NULL,NULL,0.3614457831325301,NULL,NULL,0,0,12), +(154,'076610','해성옵틱스','SHORT_ANT_SHAKING',1417,1425,14112,0.5645730416372619,112896,2,'2026-02-26 13:06:57','2026-02-26 13:09:02','칼손절(0.6%)',NULL,NULL,NULL,NULL,0.42523033309709424,NULL,NULL,0,0,13), +(155,'229000','젠큐릭스','SHORT_ANT_SHAKING',4080,4105,4901,0.6127450980392157,122525,0,'2026-02-26 13:08:19','2026-02-26 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13:48:21','2026-02-26 13:48:58','칼손절(-0.7%)',NULL,NULL,NULL,NULL,0.3681885125184094,NULL,NULL,0,0,13), +(161,'046890','서울반도체','SHORT_ANT_SHAKING',13780,13740,1451,-0.29027576197387517,-58040,0,'2026-02-26 13:58:27','2026-02-26 13:59:08','칼손절(-0.2%)',NULL,NULL,NULL,NULL,0.2911208151382824,NULL,NULL,0,0,13), +(162,'046890','서울반도체','SHORT_ANT_SHAKING',13730,13790,1456,0.43699927166788055,87360,0,'2026-02-26 13:59:59','2026-02-26 14:00:44','칼손절(0.1%)',NULL,NULL,NULL,NULL,0.43891733723482074,NULL,NULL,0,0,13), +(163,'046890','서울반도체','SHORT_ANT_SHAKING',13810,13670,1448,-1.0137581462708183,-202720,0,'2026-02-26 14:00:57','2026-02-26 14:01:41','금액손실컷',NULL,NULL,NULL,NULL,0.21770682148040638,NULL,NULL,0,0,14), +(164,'229000','젠큐릭스','SHORT_ANT_SHAKING',4095,4090,4883,-0.1221001221001221,-24415,0,'2026-02-26 14:02:12','2026-02-26 14:02:58','칼손절(-0.1%)',NULL,NULL,NULL,NULL,0.24509803921568626,NULL,NULL,0,0,14), 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작은수익보호',NULL,NULL,NULL,NULL,0.8620689655172413,NULL,NULL,0,0,14), +(175,'187660','현대ADM','SHORT_ANT_SHAKING',19300,19250,1036,-0.2590673575129534,-51800,0,'2026-02-26 14:53:03','2026-02-26 14:53:49','칼손절(-0.4%)',NULL,NULL,NULL,NULL,0.9414225941422595,NULL,NULL,0,0,14), +(176,'187660','현대ADM','SHORT_ANT_SHAKING',19260,19330,1038,0.363447559709242,72660,0,'2026-02-26 14:54:04','2026-02-26 14:54:51','칼손절(0.4%)',NULL,NULL,NULL,NULL,0.2602811035918792,NULL,NULL,0,0,14), +(177,'187660','현대ADM','SHORT_ANT_SHAKING',19330,19400,1034,0.3621314019658562,72380,1,'2026-02-26 15:01:33','2026-02-26 15:02:46','칼손절(0.4%)',NULL,NULL,NULL,NULL,0.5200208008320333,NULL,NULL,0,0,15), +(178,'187660','현대ADM','SHORT_ANT_SHAKING',19400,19380,1030,-0.10309278350515465,-20600,0,'2026-02-26 15:03:01','2026-02-26 15:03:51','칼손절(0.3%)',NULL,NULL,NULL,NULL,0.3621314019658562,NULL,NULL,0,0,15), +(179,'187660','현대ADM','SHORT_ANT_SHAKING',19380,19385,1031,0.025799793601651185,5155,0,'2026-02-26 15:04:06','2026-02-26 15:04:54','칼손절(0.1%)',NULL,NULL,NULL,NULL,0.3105590062111801,NULL,NULL,0,0,15), +(180,'187660','현대ADM','SHORT_ANT_SHAKING',19120,19110,1045,-0.05230125523012552,-10450,2,'2026-02-26 15:12:00','2026-02-26 15:14:27','💨 작은수익보호',NULL,NULL,NULL,NULL,1.3248542660307367,NULL,NULL,0,0,15), +(181,'187660','현대ADM','SHORT_ANT_SHAKING',19180,19230,1042,0.2606882168925964,52100,0,'2026-02-26 15:15:08','2026-02-26 15:15:58','칼손절(0.3%)',NULL,NULL,NULL,NULL,0.41884816753926707,NULL,NULL,0,0,15), +(182,'187660','현대ADM','SHORT_ANT_SHAKING',18910,18730,1057,-0.9518773135906927,-190260,0,'2026-02-26 15:19:29','2026-02-26 15:20:18','금액손실컷',NULL,NULL,NULL,NULL,0.9071504802561365,NULL,NULL,0,0,15), +(183,'001290','상상인증권','SHORT_ANT_SHAKING',1598,1669,12513,4.44305381727159,888423,1,'2026-02-27 09:03:43','2026-02-27 09:05:09','목표달성(퍼센트)',NULL,NULL,NULL,NULL,1.9783024888321634,NULL,NULL,0,0,9), +(184,'001510','SK증권','SHORT_ANT_SHAKING',2040,2095,9802,2.696078431372549,539110,0,'2026-02-27 09:05:03','2026-02-27 09:05:42','목표달성(퍼센트)',NULL,NULL,NULL,NULL,1.240694789081886,NULL,NULL,0,0,9), +(185,'001510','SK증권','SHORT_ANT_SHAKING',2060,2065,9707,0.24271844660194172,48535,1,'2026-02-27 09:09:49','2026-02-27 09:10:58','칼손절(0.2%)',NULL,NULL,NULL,NULL,1.477832512315271,NULL,NULL,0,0,9), +(186,'187660','현대ADM','SHORT_ANT_SHAKING',18960,18860,1054,-0.5274261603375527,-105400,0,'2026-02-27 09:10:50','2026-02-27 09:11:28','칼손절(-0.5%)',NULL,NULL,NULL,NULL,0.31746031746031744,NULL,NULL,0,0,9), +(187,'001510','SK증권','SHORT_ANT_SHAKING',2065,2080,9683,0.7263922518159807,145245,1,'2026-02-27 09:11:52','2026-02-27 09:13:07','칼손절(0.5%)',NULL,NULL,NULL,NULL,0.7334963325183375,NULL,NULL,0,0,9), +(188,'187660','현대ADM','SHORT_ANT_SHAKING',18500,18140,1080,-1.9459459459459458,-388800,0,'2026-02-27 09:13:00','2026-02-27 09:13:39','금액손실컷',NULL,NULL,NULL,NULL,2.436323366555925,NULL,NULL,0,0,9), +(189,'001290','상상인증권','SHORT_ANT_SHAKING',1608,1597,12435,-0.6840796019900498,-136785,0,'2026-02-27 09:15:31','2026-02-27 09:16:04','칼손절(-0.4%)',NULL,NULL,NULL,NULL,0.7575757575757576,NULL,NULL,0,0,9), +(190,'010280','아이티센엔텍','SHORT_ANT_SHAKING',1374,1400,14519,1.8922852983988356,377494,0,'2026-02-27 09:15:50','2026-02-27 09:16:33','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.8088235294117648,NULL,NULL,0,0,9), +(191,'010280','아이티센엔텍','SHORT_ANT_SHAKING',1372,1366,14575,-0.43731778425655976,-87450,0,'2026-02-27 09:18:14','2026-02-27 09:18:54','칼손절(-0.4%)',NULL,NULL,NULL,NULL,0.9565857247976454,NULL,NULL,0,0,9), +(192,'067080','대화제약','SHORT_ANT_SHAKING',17850,17680,1120,-0.9523809523809524,-190400,0,'2026-02-27 09:18:29','2026-02-27 09:19:05','금액손실컷',NULL,NULL,NULL,NULL,0.39370078740157477,NULL,NULL,0,0,9), +(193,'067080','대화제약','SHORT_ANT_SHAKING',17700,17760,1129,0.3389830508474576,67740,0,'2026-02-27 09:19:18','2026-02-27 09:19:52','칼손절(0.3%)',NULL,NULL,NULL,NULL,0.22650056625141565,NULL,NULL,0,0,9), +(194,'010280','아이티센엔텍','SHORT_ANT_SHAKING',1358,1358,14677,0,0,1,'2026-02-27 09:19:39','2026-02-27 09:20:46','칼손절(0.0%)',NULL,NULL,NULL,NULL,0.5181347150259068,NULL,NULL,0,0,9), +(195,'010280','아이티센엔텍','SHORT_ANT_SHAKING',1358,1330,14711,-2.0618556701030926,-411908,0,'2026-02-27 09:21:03','2026-02-27 09:21:39','금액손실컷',NULL,NULL,NULL,NULL,0.5181347150259068,NULL,NULL,0,0,9), +(196,'290560','파라택시스이더리움','SHORT_ANT_SHAKING',2045,2120,9778,3.6674816625916873,733350,0,'2026-02-27 09:22:41','2026-02-27 09:23:21','목표달성(퍼센트)',NULL,NULL,NULL,NULL,2.25,NULL,NULL,0,0,9), +(197,'010280','아이티센엔텍','SHORT_ANT_SHAKING',1320,1309,15074,-0.8333333333333334,-165814,0,'2026-02-27 09:22:57','2026-02-27 09:23:56','금액손실컷',NULL,NULL,NULL,NULL,0.9174311926605505,NULL,NULL,0,0,9), +(198,'294140','레몬','SHORT_ANT_SHAKING',4790,4895,4174,2.1920668058455117,438270,2,'2026-02-27 09:28:42','2026-02-27 09:31:07','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.4197271773347324,NULL,NULL,0,0,9), +(199,'001510','SK증권','SHORT_ANT_SHAKING',2225,2210,8987,-0.6741573033707865,-134805,0,'2026-02-27 09:31:31','2026-02-27 09:32:14','칼손절(-0.7%)',NULL,NULL,NULL,NULL,0.6787330316742082,NULL,NULL,0,0,9), +(200,'001510','SK증권','SHORT_ANT_SHAKING',2170,2175,9215,0.2304147465437788,46075,0,'2026-02-27 09:33:47','2026-02-27 09:34:27','칼손절(0.0%)',NULL,NULL,NULL,NULL,0.6976744186046512,NULL,NULL,0,0,9), +(201,'066980','한성크린텍','SHORT_ANT_SHAKING',1549,1558,12874,0.5810200129115558,115866,0,'2026-02-27 09:34:20','2026-02-27 09:34:58','칼손절(-0.2%)',NULL,NULL,NULL,NULL,1.2418300653594772,NULL,NULL,0,0,9), +(202,'001510','SK증권','SHORT_ANT_SHAKING',2175,2165,9194,-0.45977011494252873,-91940,0,'2026-02-27 09:34:51','2026-02-27 09:35:25','칼손절(-0.6%)',NULL,NULL,NULL,NULL,0.6960556844547563,NULL,NULL,0,0,9), +(203,'294140','레몬','SHORT_ANT_SHAKING',4750,4760,4209,0.21052631578947367,42090,1,'2026-02-27 09:38:54','2026-02-27 09:40:09','칼손절(0.2%)',NULL,NULL,NULL,NULL,0.21141649048625794,NULL,NULL,0,0,9), +(204,'001510','SK증권','SHORT_ANT_SHAKING',2180,2185,9172,0.22935779816513763,45860,1,'2026-02-27 09:40:39','2026-02-27 09:41:53','칼손절(0.5%)',NULL,NULL,NULL,NULL,0.6928406466512702,NULL,NULL,0,0,9), +(205,'294140','레몬','SHORT_ANT_SHAKING',4755,4720,4191,-0.7360672975814931,-146685,0,'2026-02-27 09:41:23','2026-02-27 09:42:13','칼손절(-0.7%)',NULL,NULL,NULL,NULL,0.7415254237288136,NULL,NULL,0,0,9), +(206,'001510','SK증권','SHORT_ANT_SHAKING',2185,2187,9151,0.09153318077803205,18302,0,'2026-02-27 09:42:06','2026-02-27 09:42:40','칼손절(0.2%)',NULL,NULL,NULL,NULL,0.6912442396313364,NULL,NULL,0,0,9), +(207,'294140','레몬','SHORT_ANT_SHAKING',4720,4705,4046,-0.31779661016949157,-60690,0,'2026-02-27 09:42:25','2026-02-27 09:43:01','칼손절(-0.2%)',NULL,NULL,NULL,NULL,0.21231422505307856,NULL,NULL,0,0,9), +(208,'066980','한성크린텍','SHORT_ANT_SHAKING',1555,1553,12859,-0.12861736334405144,-25718,0,'2026-02-27 09:43:17','2026-02-27 09:44:14','칼손절(-0.1%)',NULL,NULL,NULL,NULL,0.3225806451612903,NULL,NULL,0,0,9), +(209,'294140','레몬','SHORT_ANT_SHAKING',4680,4635,4256,-0.9615384615384616,-191520,0,'2026-02-27 09:43:44','2026-02-27 09:44:26','금액손실컷',NULL,NULL,NULL,NULL,0.6451612903225806,NULL,NULL,0,0,9), +(210,'001510','SK증권','SHORT_ANT_SHAKING',2195,2180,9110,-0.683371298405467,-136650,0,'2026-02-27 09:44:00','2026-02-27 09:44:45','금액손실컷',NULL,NULL,NULL,NULL,0.9195402298850575,NULL,NULL,0,0,9), +(211,'001510','SK증권','SHORT_ANT_SHAKING',2170,2145,9215,-1.1520737327188941,-230375,0,'2026-02-27 09:45:16','2026-02-27 09:45:50','금액손실컷',NULL,NULL,NULL,NULL,0.46403712296983757,NULL,NULL,0,0,9), +(212,'066980','한성크린텍','SHORT_ANT_SHAKING',1561,1571,12281,0.6406149903907752,122810,2,'2026-02-27 09:44:39','2026-02-27 09:46:41','칼손절(0.3%)',NULL,NULL,NULL,NULL,0.6447453255963894,NULL,NULL,0,0,9), +(213,'001510','SK증권','SHORT_ANT_SHAKING',2155,2150,9279,-0.23201856148491878,-46395,0,'2026-02-27 09:46:24','2026-02-27 09:47:02','칼손절(-0.2%)',NULL,NULL,NULL,NULL,0.23255813953488372,NULL,NULL,0,0,9), +(214,'001510','SK증권','SHORT_ANT_SHAKING',2170,2185,9215,0.6912442396313364,138225,3,'2026-02-27 09:48:56','2026-02-27 09:52:32','칼손절(0.5%)',NULL,NULL,NULL,NULL,0.4629629629629629,NULL,NULL,0,0,9), +(215,'001510','SK증권','SHORT_ANT_SHAKING',2200,2200,9089,0,0,0,'2026-02-27 09:52:44','2026-02-27 09:53:21','칼손절(0.2%)',NULL,NULL,NULL,NULL,0.7798165137614679,NULL,NULL,0,0,9), +(216,'001510','SK증권','SHORT_ANT_SHAKING',2210,2210,9048,0,0,0,'2026-02-27 09:53:43','2026-02-27 09:54:15','칼손절(0.0%)',NULL,NULL,NULL,NULL,0.683371298405467,NULL,NULL,0,0,9), +(217,'001510','SK증권','SHORT_ANT_SHAKING',2207,2210,9060,0.1359311282283643,27180,0,'2026-02-27 09:54:27','2026-02-27 09:55:00','칼손절(0.1%)',NULL,NULL,NULL,NULL,0.3181818181818182,NULL,NULL,0,0,9), +(218,'001510','SK증권','SHORT_ANT_SHAKING',2205,2205,9068,0,0,0,'2026-02-27 09:55:22','2026-02-27 09:55:57','칼손절(0.0%)',NULL,NULL,NULL,NULL,0.22727272727272727,NULL,NULL,0,0,9), +(219,'001510','SK증권','SHORT_ANT_SHAKING',2205,2190,9068,-0.6802721088435374,-136020,0,'2026-02-27 09:56:08','2026-02-27 09:56:43','칼손절(-0.7%)',NULL,NULL,NULL,NULL,0.22727272727272727,NULL,NULL,0,0,9), +(220,'066980','한성크린텍','SHORT_ANT_SHAKING',1582,1582,12560,0,0,0,'2026-02-27 09:58:26','2026-02-27 09:59:01','칼손절(0.1%)',NULL,NULL,NULL,NULL,0.3807106598984772,NULL,NULL,0,0,9), +(221,'066980','한성크린텍','SHORT_ANT_SHAKING',1582,1558,12559,-1.5170670037926675,-301416,0,'2026-02-27 09:59:22','2026-02-27 09:59:55','금액손실컷',NULL,NULL,NULL,NULL,0.25348542458808615,NULL,NULL,0,0,9), +(222,'066980','한성크린텍','SHORT_ANT_SHAKING',1570,1567,12648,-0.1910828025477707,-37944,0,'2026-02-27 10:00:38','2026-02-27 10:01:13','칼손절(0.0%)',NULL,NULL,NULL,NULL,0.2559181062060141,NULL,NULL,0,0,10), +(223,'001510','SK증권','SHORT_ANT_SHAKING',2175,2185,9194,0.45977011494252873,91940,4,'2026-02-27 09:57:22','2026-02-27 10:02:07','칼손절(0.4%)',NULL,NULL,NULL,NULL,0.2304147465437788,NULL,NULL,0,0,9), +(224,'001510','SK증권','SHORT_ANT_SHAKING',2185,2190,9151,0.2288329519450801,45755,0,'2026-02-27 10:02:19','2026-02-27 10:03:03','칼손절(-0.2%)',NULL,NULL,NULL,NULL,0.22935779816513763,NULL,NULL,0,0,10), +(225,'066980','한성크린텍','SHORT_ANT_SHAKING',1564,1569,12696,0.319693094629156,63480,0,'2026-02-27 10:02:55','2026-02-27 10:03:44','칼손절(0.3%)',NULL,NULL,NULL,NULL,0.2564102564102564,NULL,NULL,0,0,10), +(226,'001510','SK증권','SHORT_ANT_SHAKING',2240,2240,8927,0,0,1,'2026-02-27 10:06:14','2026-02-27 10:07:20','💨 작은수익보호',NULL,NULL,NULL,NULL,0.4484304932735426,NULL,NULL,0,0,10), +(227,'001510','SK증권','SHORT_ANT_SHAKING',2255,2240,8867,-0.6651884700665188,-133005,0,'2026-02-27 10:07:33','2026-02-27 10:08:06','칼손절(-0.7%)',NULL,NULL,NULL,NULL,0.8948545861297539,NULL,NULL,0,0,10), +(228,'001510','SK증권','SHORT_ANT_SHAKING',2240,2220,8927,-0.8928571428571428,-178540,0,'2026-02-27 10:08:21','2026-02-27 10:09:07','금액손실컷',NULL,NULL,NULL,NULL,0.22371364653243847,NULL,NULL,0,0,10), +(229,'001510','SK증권','SHORT_ANT_SHAKING',2220,2220,9007,0,0,0,'2026-02-27 10:09:21','2026-02-27 10:09:56','칼손절(-0.2%)',NULL,NULL,NULL,NULL,0.2257336343115124,NULL,NULL,0,0,10), +(230,'066980','한성크린텍','SHORT_ANT_SHAKING',1567,1574,12761,0.4467134652201659,89327,1,'2026-02-27 10:10:48','2026-02-27 10:12:00','칼손절(0.2%)',NULL,NULL,NULL,NULL,0.2559181062060141,NULL,NULL,0,0,10), +(231,'001510','SK증권','SHORT_ANT_SHAKING',2210,2205,9048,-0.22624434389140274,-45240,0,'2026-02-27 10:11:53','2026-02-27 10:12:35','칼손절(-0.2%)',NULL,NULL,NULL,NULL,0.45454545454545453,NULL,NULL,0,0,10), +(232,'066980','한성크린텍','SHORT_ANT_SHAKING',1572,1556,12121,-1.0178117048346056,-193936,0,'2026-02-27 10:12:17','2026-02-27 10:12:52','금액손실컷',NULL,NULL,NULL,NULL,0.25510204081632654,NULL,NULL,0,0,10), +(233,'001510','SK증권','SHORT_ANT_SHAKING',2205,2125,9068,-3.6281179138321997,-725440,5657,'2026-02-27 10:12:46','2026-03-03 08:30:01','금액손실컷',NULL,NULL,NULL,NULL,0.22727272727272727,NULL,NULL,0,0,10), +(234,'001510','SK증권','SHORT_ANT_SHAKING',2200,0,9068,-100,-19949600,30,'2026-03-03 08:30:28','2026-03-03 09:00:29','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(235,'006920','모헨즈','SHORT_ANT_SHAKING',5200,5100,3845,-1.9230769230769231,-384500,0,'2026-03-03 09:03:54','2026-03-03 09:04:27','금액손실컷',NULL,NULL,NULL,NULL,3.3797216699801194,NULL,NULL,0,0,9), +(236,'307750','국전약품','SHORT_ANT_SHAKING',4395,4340,4549,-1.2514220705346986,-250195,0,'2026-03-03 09:07:42','2026-03-03 09:08:16','금액손실컷',NULL,NULL,NULL,NULL,0.5720823798627002,NULL,NULL,0,0,9), +(237,'010820','퍼스텍','SHORT_ANT_SHAKING',7900,8060,2531,2.0253164556962027,404960,1,'2026-03-03 09:07:58','2026-03-03 09:09:25','목표달성(퍼센트)',NULL,NULL,NULL,NULL,1.804123711340206,NULL,NULL,0,0,9), +(238,'242040','나무기술','SHORT_ANT_SHAKING',5220,5150,3830,-1.3409961685823755,-268100,2,'2026-03-03 09:11:32','2026-03-03 09:13:57','금액손실컷',NULL,NULL,NULL,NULL,0.9671179883945842,NULL,NULL,0,0,9), +(239,'187660','현대ADM','SHORT_ANT_SHAKING',18570,18170,1076,-2.1540118470651586,-430400,2,'2026-03-03 09:13:50','2026-03-03 09:16:01','금액손실컷',NULL,NULL,NULL,NULL,2.3140495867768593,NULL,NULL,0,0,9), +(240,'307750','국전약품','SHORT_ANT_SHAKING',4355,4460,4591,2.4110218140068884,482055,1,'2026-03-03 09:14:43','2026-03-03 09:16:30','목표달성(퍼센트)',NULL,NULL,NULL,NULL,1.2790697674418605,NULL,NULL,0,0,9), +(241,'187660','현대ADM','SHORT_ANT_SHAKING',17710,17740,1129,0.16939582156973462,33870,1,'2026-03-03 09:22:38','2026-03-03 09:24:33','💨 작은수익보호',NULL,NULL,NULL,NULL,0.625,NULL,NULL,0,0,9), +(242,'307750','국전약품','SHORT_ANT_SHAKING',4720,4795,4236,1.5889830508474576,317700,0,'2026-03-03 09:36:14','2026-03-03 09:37:09','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.21231422505307856,NULL,NULL,0,0,9), +(243,'187660','현대ADM','SHORT_ANT_SHAKING',18250,18650,1095,2.191780821917808,438000,6,'2026-03-03 09:36:31','2026-03-03 09:42:51','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.4961411245865491,NULL,NULL,0,0,9), +(244,'065450','빅텍','SHORT_ANT_SHAKING',5380,5310,3716,-1.3011152416356877,-260120,4,'2026-03-03 09:42:02','2026-03-03 09:46:34','금액손실컷',NULL,NULL,NULL,NULL,0.5607476635514018,NULL,NULL,0,0,9), +(245,'010820','퍼스텍','SHORT_ANT_SHAKING',8160,8040,2450,-1.4705882352941175,-294000,3,'2026-03-03 09:44:20','2026-03-03 09:47:20','금액손실컷',NULL,NULL,NULL,NULL,0.49261083743842365,NULL,NULL,0,0,9), +(246,'242040','나무기술','SHORT_ANT_SHAKING',5290,5200,3780,-1.7013232514177694,-340200,6,'2026-03-03 09:41:00','2026-03-03 09:47:49','금액손실컷',NULL,NULL,NULL,NULL,0.38095238095238093,NULL,NULL,0,0,9), +(247,'229000','젠큐릭스','SHORT_ANT_SHAKING',5870,6090,3406,3.747870528109029,749320,1,'2026-03-03 09:47:14','2026-03-03 09:48:55','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.3418803418803419,NULL,NULL,0,0,9), +(248,'187660','현대ADM','SHORT_ANT_SHAKING',18510,18240,1080,-1.4586709886547813,-291600,1,'2026-03-03 09:49:24','2026-03-03 09:51:20','금액손실컷',NULL,NULL,NULL,NULL,0.27085590465872156,NULL,NULL,0,0,9), +(249,'005880','대한해운','SHORT_ANT_SHAKING',2630,2675,7603,1.7110266159695817,342135,4,'2026-03-03 09:50:00','2026-03-03 09:54:16','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.38167938931297707,NULL,NULL,0,0,9), +(250,'449450','PLUS K방산','SHORT_ANT_SHAKING',81220,79945,246,-1.56981039152918,-313650,2,'2026-03-03 09:59:12','2026-03-03 10:01:28','금액손실컷',NULL,NULL,NULL,NULL,0.2035654802294738,NULL,NULL,0,0,9), +(251,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',5020,5160,3983,2.788844621513944,557620,1,'2026-03-03 10:06:51','2026-03-03 10:08:39','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.4016064257028112,NULL,NULL,0,0,10), +(252,'004020','현대제철','SHORT_ANT_SHAKING',46150,45600,433,-1.191765980498375,-238150,14,'2026-03-03 09:54:52','2026-03-03 10:09:07','금액손실컷',NULL,NULL,NULL,NULL,0.3264417845484222,NULL,NULL,0,0,9), +(253,'187660','현대ADM','SHORT_ANT_SHAKING',18140,18380,1102,1.3230429988974641,264480,9,'2026-03-03 09:59:54','2026-03-03 10:09:09','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.6659267480577136,NULL,NULL,0,0,9), +(254,'187660','현대ADM','SHORT_ANT_SHAKING',18350,18070,1089,-1.5258855585831061,-304920,1,'2026-03-03 10:15:29','2026-03-03 10:17:00','금액손실컷',NULL,NULL,NULL,NULL,0.4378762999452655,NULL,NULL,0,0,10), +(255,'005880','대한해운','SHORT_ANT_SHAKING',2650,2710,7546,2.2641509433962264,452760,10,'2026-03-03 10:09:01','2026-03-03 10:19:44','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.3787878787878788,NULL,NULL,0,0,10), +(256,'011210','현대위아','SHORT_ANT_SHAKING',107500,106200,186,-1.2093023255813953,-241800,5,'2026-03-03 10:14:43','2026-03-03 10:20:01','금액손실컷',NULL,NULL,NULL,NULL,0.46728971962616817,NULL,NULL,0,0,10), +(257,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',4950,4885,4039,-1.3131313131313131,-262535,2,'2026-03-03 10:21:19','2026-03-03 10:23:34','금액손실컷',NULL,NULL,NULL,NULL,0.20242914979757085,NULL,NULL,0,0,10), +(258,'187660','현대ADM','SHORT_ANT_SHAKING',18130,17930,1102,-1.1031439602868174,-220400,9,'2026-03-03 10:22:27','2026-03-03 10:31:52','금액손실컷',NULL,NULL,NULL,NULL,0.27654867256637167,NULL,NULL,0,0,10), +(259,'065450','빅텍','SHORT_ANT_SHAKING',5310,5260,3765,-0.9416195856873822,-188250,1,'2026-03-03 10:31:04','2026-03-03 10:32:33','금액손실컷',NULL,NULL,NULL,NULL,0.3780718336483932,NULL,NULL,0,0,10), +(260,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',4900,4970,4081,1.4285714285714286,285670,2,'2026-03-03 10:32:07','2026-03-03 10:34:31','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.3070624360286591,NULL,NULL,0,0,10), +(261,'242040','나무기술','SHORT_ANT_SHAKING',5280,5160,3787,-2.272727272727273,-454440,22,'2026-03-03 10:12:41','2026-03-03 10:34:53','금액손실컷',NULL,NULL,NULL,NULL,0.38022813688212925,NULL,NULL,0,0,10), +(262,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',4985,4910,4011,-1.5045135406218655,-300825,2,'2026-03-03 10:39:40','2026-03-03 10:42:27','금액손실컷',NULL,NULL,NULL,NULL,0.4028197381671702,NULL,NULL,0,0,10), +(263,'449450','PLUS K방산','SHORT_ANT_SHAKING',79205,78160,252,-1.3193611514424595,-263340,30,'2026-03-03 10:17:53','2026-03-03 10:48:42','금액손실컷',NULL,NULL,NULL,NULL,0.2468198215302829,NULL,NULL,0,0,10), +(264,'014530','극동유화','SHORT_ANT_SHAKING',4390,4470,4473,1.8223234624145785,357840,11,'2026-03-03 10:52:45','2026-03-03 11:04:30','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.2285714285714286,NULL,NULL,0,0,10), +(265,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',4950,4907,4039,-0.8686868686868687,-173677,14,'2026-03-03 10:50:42','2026-03-03 11:05:11','금액손실컷',NULL,NULL,NULL,NULL,0.20242914979757085,NULL,NULL,0,0,10), +(266,'032820','우리기술','SHORT_ANT_SHAKING',17360,17130,1151,-1.3248847926267282,-264730,15,'2026-03-03 11:03:44','2026-03-03 11:19:02','금액손실컷',NULL,NULL,NULL,NULL,0.23094688221709006,NULL,NULL,0,0,11), +(267,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',4925,4875,4060,-1.015228426395939,-203000,26,'2026-03-03 11:12:58','2026-03-03 11:39:42','금액손실컷',NULL,NULL,NULL,NULL,0.30549898167006106,NULL,NULL,0,0,11), +(268,'072470','우리산업홀딩스','SHORT_ANT_SHAKING',4895,5030,4085,2.7579162410623086,551475,1,'2026-03-03 12:01:55','2026-03-03 12:03:19','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.9278350515463918,NULL,NULL,0,0,12), 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익절',NULL,NULL,NULL,NULL,0.27672955974842767,NULL,NULL,0,0,15), +(289,'002420','세기상사','SHORT_ANT_SHAKING',6680,7500,2993,12.275449101796406,2454260,0,'2026-03-04 09:01:05','2026-03-04 09:01:38','💰 0.0시간내 5%+ 익절',NULL,NULL,NULL,NULL,3.4055727554179565,NULL,NULL,0,0,9), +(290,'004090','한국석유','SHORT_ANT_SHAKING',26150,27100,764,3.632887189292543,725800,0,'2026-03-04 09:05:41','2026-03-04 09:06:31','목표달성(퍼센트)',NULL,NULL,NULL,NULL,3.7698412698412698,NULL,NULL,0,0,9), +(291,'013810','스페코','SHORT_ANT_SHAKING',3495,3390,5721,-3.004291845493562,-600705,1,'2026-03-04 09:13:34','2026-03-04 09:14:38','금액손실컷',NULL,NULL,NULL,NULL,0.2869440459110474,NULL,NULL,0,0,9), +(292,'024060','흥구석유','SHORT_ANT_SHAKING',28300,28000,706,-1.0600706713780919,-211800,0,'2026-03-04 09:15:35','2026-03-04 09:16:11','금액손실컷',NULL,NULL,NULL,NULL,0.7155635062611807,NULL,NULL,0,0,9), +(293,'229000','젠큐릭스','SHORT_ANT_SHAKING',4860,4645,4114,-4.423868312757202,-884510,1,'2026-03-04 09:16:57','2026-03-04 09:18:02','금액손실컷',NULL,NULL,NULL,NULL,0.8385744234800839,NULL,NULL,0,0,9), +(294,'006340','대원전선','SHORT_ANT_SHAKING',5620,5760,3558,2.491103202846975,498120,5,'2026-03-04 09:13:55','2026-03-04 09:19:03','목표달성(퍼센트)',NULL,NULL,NULL,NULL,2.4029574861367835,NULL,NULL,0,0,9), +(295,'058470','리노공업','SHORT_ANT_SHAKING',115100,117800,173,2.3457862728062553,467100,1,'2026-03-04 09:24:16','2026-03-04 09:25:28','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.2613240418118467,NULL,NULL,0,0,9), +(296,'004090','한국석유','SHORT_ANT_SHAKING',25850,25500,773,-1.3539651837524178,-270550,0,'2026-03-04 09:26:24','2026-03-04 09:27:08','금액손실컷',NULL,NULL,NULL,NULL,0.5836575875486382,NULL,NULL,0,0,9), +(297,'080220','제주반도체','SHORT_ANT_SHAKING',43150,42550,463,-1.3904982618771726,-277800,1,'2026-03-04 09:32:54','2026-03-04 09:34:01','금액손실컷',NULL,NULL,NULL,NULL,1.0588235294117647,NULL,NULL,0,0,9), +(298,'240810','원익IPS','SHORT_ANT_SHAKING',126200,123600,158,-2.0602218700475436,-410800,3,'2026-03-04 09:31:23','2026-03-04 09:35:19','금액손실컷',NULL,NULL,NULL,NULL,0.15873015873015872,NULL,NULL,0,0,9), +(299,'000440','중앙에너비스','SHORT_ANT_SHAKING',31400,31000,636,-1.2738853503184715,-254400,3,'2026-03-04 09:33:16','2026-03-04 09:36:53','금액손실컷',NULL,NULL,NULL,NULL,0.1594896331738437,NULL,NULL,0,0,9), +(300,'471990','KODEX AI반도체핵심장비','SHORT_ANT_SHAKING',23645,23330,845,-1.332205540283358,-266175,6,'2026-03-04 09:32:14','2026-03-04 09:38:35','금액손실컷',NULL,NULL,NULL,NULL,0.16988744956466342,NULL,NULL,0,0,9), +(301,'036930','주성엔지니어링','SHORT_ANT_SHAKING',60000,59600,333,-0.6666666666666667,-133200,3,'2026-03-04 09:35:45','2026-03-04 09:39:42','금액손실컷',NULL,NULL,NULL,NULL,0.5025125628140703,NULL,NULL,0,0,9), +(302,'058470','리노공업','SHORT_ANT_SHAKING',113000,115300,176,2.0353982300884956,404800,5,'2026-03-04 09:41:48','2026-03-04 09:47:39','목표달성(퍼센트)',NULL,NULL,NULL,NULL,1.073345259391771,NULL,NULL,0,0,9), +(303,'000440','중앙에너비스','SHORT_ANT_SHAKING',31100,30650,617,-1.4469453376205788,-277650,0,'2026-03-04 09:52:30','2026-03-04 09:53:09','금액손실컷',NULL,NULL,NULL,NULL,0.1610305958132045,NULL,NULL,0,0,9), +(304,'000720','현대건설','SHORT_ANT_SHAKING',139600,142100,143,1.7908309455587392,357500,19,'2026-03-04 09:38:28','2026-03-04 09:58:00','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.21536252692031585,NULL,NULL,0,0,9), +(305,'475310','SOL 반도체후공정','SHORT_ANT_SHAKING',28620,29230,698,2.131376659678547,425780,7,'2026-03-04 09:52:02','2026-03-04 09:59:11','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.22775052557813596,NULL,NULL,0,0,9), +(306,'004090','한국석유','SHORT_ANT_SHAKING',26300,26200,760,-0.38022813688212925,-76000,12,'2026-03-04 09:48:45','2026-03-04 10:01:00','💨 작은수익보호',NULL,NULL,NULL,NULL,0.7662835249042145,NULL,NULL,0,0,9), +(307,'240810','원익IPS','SHORT_ANT_SHAKING',126900,129700,151,2.206461780929866,422800,7,'2026-03-04 09:57:21','2026-03-04 10:05:01','목표달성(퍼센트)',NULL,NULL,NULL,NULL,0.15785319652722968,NULL,NULL,0,0,9), +(308,'001440','대한전선','SHORT_ANT_SHAKING',29350,29350,681,0,0,28,'2026-03-04 09:39:07','2026-03-04 10:07:32','💨 작은수익보호',NULL,NULL,NULL,NULL,0.3424657534246575,NULL,NULL,0,0,9), +(309,'058470','리노공업','SHORT_ANT_SHAKING',114700,113100,174,-1.3949433304272014,-278400,2,'2026-03-04 10:07:26','2026-03-04 10:10:07','금액손실컷',NULL,NULL,NULL,NULL,0.17467248908296942,NULL,NULL,0,0,10), +(310,'080220','제주반도체','SHORT_ANT_SHAKING',43200,42500,462,-1.6203703703703702,-323400,10,'2026-03-04 10:02:05','2026-03-04 10:12:15','금액손실컷',NULL,NULL,NULL,NULL,0.46511627906976744,NULL,NULL,0,0,10), +(311,'139240','TIGER 200 철강소재','SHORT_ANT_SHAKING',15090,14890,1189,-1.325381047051027,-237800,40,'2026-03-04 09:36:17','2026-03-04 10:16:51','금액손실컷',NULL,NULL,NULL,NULL,0.23248090335436733,NULL,NULL,0,0,9), +(312,'471990','KODEX AI반도체핵심장비','SHORT_ANT_SHAKING',23715,23380,843,-1.412608053974278,-282405,8,'2026-03-04 10:22:37','2026-03-04 10:31:09','금액손실컷',NULL,NULL,NULL,NULL,0.1689545934530095,NULL,NULL,0,0,10), 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11:02:45','금액손실컷',NULL,NULL,NULL,NULL,0.1950354609929078,NULL,NULL,0,0,10), +(318,'395160','KODEX AI반도체','SHORT_ANT_SHAKING',26340,25990,759,-1.3287775246772968,-265650,42,'2026-03-04 10:23:38','2026-03-04 11:05:50','금액손실컷',NULL,NULL,NULL,NULL,0.2092448164352292,NULL,NULL,0,0,10), +(319,'487240','KODEX AI전력핵심설비','SHORT_ANT_SHAKING',28800,28825,694,0.08680555555555555,17350,14,'2026-03-04 13:03:06','2026-03-04 13:17:09','💨 작은수익보호',NULL,NULL,NULL,NULL,0.20876826722338201,NULL,NULL,0,0,13), +(320,'469150','ACE AI반도체포커스','SHORT_ANT_SHAKING',43155,43165,463,0.023172285946008574,4630,8,'2026-03-04 13:08:26','2026-03-04 13:17:11','💨 작은수익보호',NULL,NULL,NULL,NULL,0.16246953696181965,NULL,NULL,0,0,13), +(321,'471760','TIGER AI반도체핵심공정','SHORT_ANT_SHAKING',17992,18020,1111,0.15562472209871053,31108,16,'2026-03-04 13:01:39','2026-03-04 13:18:02','💨 작은수익보호',NULL,NULL,NULL,NULL,0.30666294954000556,NULL,NULL,0,0,13), +(322,'471990','KODEX AI반도체핵심장비','SHORT_ANT_SHAKING',23160,22755,863,-1.7487046632124352,-349515,11,'2026-03-04 13:06:55','2026-03-04 13:18:54','금액손실컷',NULL,NULL,NULL,NULL,0.1736111111111111,NULL,NULL,0,0,13), +(323,'455850','SOL AI반도체소부장','SHORT_ANT_SHAKING',24640,24260,811,-1.5422077922077921,-308180,9,'2026-03-04 13:09:02','2026-03-04 13:18:56','금액손실컷',NULL,NULL,NULL,NULL,0.4283091984499286,NULL,NULL,0,0,13), +(324,'232080','TIGER 코스닥150','SHORT_ANT_SHAKING',18690,18380,965,-1.6586409844836811,-299150,3,'2026-03-04 13:15:46','2026-03-04 13:18:59','금액손실컷',NULL,NULL,NULL,NULL,0.2413515687851971,NULL,NULL,0,0,13), +(325,'055550','신한지주','SHORT_ANT_SHAKING',89800,89700,222,-0.11135857461024498,-22200,23,'2026-03-04 13:03:47','2026-03-04 13:27:06','💨 작은수익보호',NULL,NULL,NULL,NULL,0.22346368715083798,NULL,NULL,0,0,13), +(326,'292150','TIGER 코리아TOP10','SHORT_ANT_SHAKING',29070,28650,687,-1.4447884416924663,-288540,7,'2026-03-04 13:20:47','2026-03-04 13:28:27','금액손실컷',NULL,NULL,NULL,NULL,0.3111495246326707,NULL,NULL,0,0,13), +(327,'089030','테크윙','SHORT_ANT_SHAKING',53400,52600,258,-1.4981273408239701,-206400,44,'2026-03-04 13:39:47','2026-03-04 14:24:28','칼손절(-1.7%)',NULL,NULL,NULL,NULL,0.18761726078799248,NULL,NULL,0,0,13), +(328,'003490','대한항공','SHORT_ANT_SHAKING',23650,23350,845,-1.2684989429175475,-253500,69,'2026-03-04 13:19:55','2026-03-04 14:29:18','금액손실컷',NULL,NULL,NULL,NULL,0.211864406779661,NULL,NULL,0,0,13), +(329,'089030','테크윙','SHORT_ANT_SHAKING',53000,52000,270,-1.8867924528301887,-270000,19,'2026-03-04 14:43:20','2026-03-04 15:03:09','칼손절(-1.5%)',NULL,NULL,NULL,NULL,0.3787878787878788,NULL,NULL,0,0,14), +(330,'024060','흥구석유','SHORT_ANT_SHAKING',27250,28350,244,4.036697247706423,268400,6,'2026-03-05 09:30:33','2026-03-05 09:36:36','목표달성(퍼센트)',NULL,NULL,65.06024096385542,1.3872390972340065,1.1235955056179776,-1.1248185776487662,NULL,0,0,9), 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13:20:25','금액손실컷',NULL,NULL,58.82352941176471,0.9998138149320425,0.3731343283582089,0.18587360594795538,0.16725515703400856,0,0,13), +(343,'008350','남선알미늄','SCALP_RSI_REVERSAL',1382,1392,217,0.723589001447178,2170,3,'2026-03-05 13:35:31','2026-03-05 13:38:32','트레일링스탑 고점대비-1.1%',NULL,NULL,5,0.9914919113241463,0,NULL,NULL,0,0,13), +(344,'006920','모헨즈','SCALP_RSI_REVERSAL',5450,5460,55,0.1834862385321101,550,2,'2026-03-05 13:38:11','2026-03-05 13:40:24','트레일링스탑 고점대비-0.9%',NULL,NULL,25,0.9866989117291415,0,NULL,NULL,0,0,13), +(345,'008350','남선알미늄','SHORT_ANT_SHAKING',1386,1344,4809,-3.0303030303030303,-201978,14,'2026-03-05 13:37:01','2026-03-05 13:51:04','금액손실컷',NULL,NULL,30.555555555555557,0.9847730183577629,0.5079825834542816,-0.31645569620253816,NULL,0,0,13), +(346,'218150','미래생명자원','SCALP_RSI_REVERSAL',3435,3405,87,-0.8733624454148471,-2610,24,'2026-03-05 13:35:15','2026-03-05 14:00:10','트레일링스탑 고점대비-1.0%',NULL,NULL,22.22,0.9980601357904947,0,NULL,NULL,0,0,13), +(347,'010950','S-Oil','SCALP_RSI_REVERSAL',127600,131500,2,3.0564263322884013,7800,12,'2026-03-05 13:47:52','2026-03-05 14:00:10','익절 (3.06%)',NULL,NULL,10,0.997699552931985,0,NULL,NULL,0,0,13), +(348,'010950','S-Oil','SHORT_ANT_SHAKING',127400,131500,52,3.2182103610675044,213200,184,'2026-03-05 10:56:00','2026-03-05 14:00:37','목표달성(퍼센트)',NULL,NULL,51.61290322580645,1.002123810272949,0.47318611987381703,-0.29738613241508843,0.1454231026215462,0,0,10), +(349,'008350','남선알미늄','SCALP_RSI_REVERSAL',1357,1348,221,-0.6632277081798084,-1989,2,'2026-03-05 14:01:15','2026-03-05 14:03:45','트레일링스탑 고점대비-0.8%',NULL,NULL,0,0.9886617185009791,0,NULL,NULL,0,0,14), +(350,'002140','고려산업','SCALP_RSI_REVERSAL',2815,2835,106,0.7104795737122558,2120,12,'2026-03-05 13:59:17','2026-03-05 14:12:07','트레일링스탑 고점대비-0.9%',NULL,NULL,0,0.9990552668871044,0,NULL,NULL,0,0,13), +(351,'402490','그린리소스','SHORT_ANT_SHAKING',12350,11970,539,-3.076923076923077,-204820,127,'2026-03-05 12:14:07','2026-03-05 14:21:46','금액손실컷',NULL,NULL,41.379310344827594,1.0087743201264374,0.24390243902439024,0.5700325732899023,NULL,0,0,12), +(352,'006920','모헨즈','SHORT_ANT_SHAKING',5490,5660,1214,3.096539162112933,206380,48,'2026-03-05 13:35:42','2026-03-05 14:24:37','목표달성(퍼센트)',NULL,NULL,70.17543859649123,1.0188467997760777,1.2915129151291513,0.7339449541284404,2.2536785248649656,0,0,13), +(353,'006920','모헨즈','SCALP_RSI_REVERSAL',5490,5460,54,-0.546448087431694,-1620,0,'2026-03-05 14:34:51','2026-03-05 14:35:20','트레일링스탑 고점대비-0.9%',NULL,NULL,9.09,1.0023517115233864,0,NULL,NULL,0,0,14), +(354,'008350','남선알미늄','SHORT_ANT_SHAKING',1391.86,1353,215,-2.791947465980767,-8354.899999999978,4,'2026-03-05 14:30:56','2026-03-05 14:35:26','전략손절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(355,'218150','미래생명자원','SCALP_RSI_REVERSAL',3380,3405,88,0.7396449704142012,2200,22,'2026-03-05 14:54:16','2026-03-05 15:16:27','트레일링스탑 고점대비-0.9%',NULL,NULL,20,0.994998794890335,0,NULL,NULL,0,0,14), +(356,'002140','고려산업','SHORT_ANT_SHAKING',2835,2750,2351,-2.9982363315696645,-199835,1309,'2026-03-05 11:24:07','2026-03-06 09:14:02','금액손실컷',NULL,NULL,0,0.9781477627471384,0.8896797153024912,-0.8394543546694648,NULL,0,0,11), +(357,'229000','젠큐릭스','SHORT_ANT_SHAKING',4930,4780,1352,-3.0425963488843815,-202800,2,'2026-03-06 09:18:19','2026-03-06 09:20:43','금액손실컷',NULL,NULL,34.31372549019608,1.1164800181911205,0.81799591002045,1.1489536315141566,0.44824775876120615,0,0,9), +(358,'218150','미래생명자원','SHORT_ANT_SHAKING',3460,3335,1926,-3.6127167630057806,-240750,1217,'2026-03-05 13:04:51','2026-03-06 09:22:41','금액손실컷',NULL,NULL,33.33333333333333,0.9997823405644635,0.43541364296081275,-0.05777007510109763,0.2317497103128621,0,0,13), +(359,'010820','퍼스텍','SCALP_RSI_REVERSAL',8620,8530,34,-1.0440835266821344,-3060,0,'2026-03-06 09:40:23','2026-03-06 09:41:15','트레일링스탑 고점대비-1.2%',NULL,NULL,15,1.0301542088203517,0,NULL,NULL,0,0,9), +(360,'079550','LIG넥스원','SCALP_RSI_REVERSAL',863000,870000,1,0.8111239860950173,7000,5,'2026-03-06 09:44:03','2026-03-06 09:49:56','트레일링스탑 고점대비-0.9%',NULL,NULL,7.69,0.9986674615141845,0,NULL,NULL,0,0,9), +(361,'272210','한화시스템','SCALP_RSI_REVERSAL',159800,160100,1,0.18773466833541927,300,6,'2026-03-06 09:44:07','2026-03-06 09:50:12','트레일링스탑 고점대비-0.8%',NULL,NULL,15.79,0.9848193433163895,0,NULL,NULL,0,0,9), +(362,'272210','한화시스템','SCALP_RSI_REVERSAL',164700,163500,1,-0.7285974499089253,-1200,0,'2026-03-06 10:22:02','2026-03-06 10:22:21','트레일링스탑 고점대비-0.9%',NULL,NULL,5.71,1.0113031165022994,0,NULL,NULL,0,0,10), +(363,'272210','한화시스템','SHORT_ANT_SHAKING',164600,159500,40,-3.0984204131227218,-204000,5,'2026-03-06 10:21:52','2026-03-06 10:27:29','금액손실컷',NULL,NULL,57.432432432432435,1.009914970684839,0.672782874617737,-1.236049441977679,1.0187799189885847,0,0,10), +(364,'065450','빅텍','SHORT_ANT_SHAKING',6360,6320,1048,-0.628930817610063,-41920,3,'2026-03-06 10:30:35','2026-03-06 10:33:36','💨 작은수익보호',NULL,NULL,35.185185185185176,1.0226724553786783,0.15772870662460567,-1.5784586815227482,2.176881677243152,0,0,10), +(365,'065450','빅텍','SCALP_RSI_REVERSAL',6300,6280,47,-0.31746031746031744,-940,1,'2026-03-06 10:36:08','2026-03-06 10:37:28','트레일링스탑 고점대비-0.9%',NULL,NULL,6.67,1.00377788633773,0,NULL,NULL,0,0,10), +(366,'000440','중앙에너비스','SHORT_ANT_SHAKING',34800,35850,191,3.0172413793103448,200550,5,'2026-03-06 10:41:03','2026-03-06 10:46:55','목표달성(퍼센트)',NULL,NULL,44.34782608695652,1.0500868776913197,1.0159651669085632,-1.3884953244545197,4.981334137788001,0,0,10), +(367,'005860','한일사료','SCALP_RSI_REVERSAL',4465,4440,67,-0.5599104143337066,-1675,2,'2026-03-06 10:58:06','2026-03-06 11:01:04','트레일링스탑 고점대비-0.9%',NULL,NULL,20,0.9999770957398075,0,NULL,NULL,0,0,10), +(368,'065450','빅텍','SCALP_RSI_REVERSAL',6370,6360,47,-0.15698587127158556,-470,2,'2026-03-06 10:58:46','2026-03-06 11:01:19','트레일링스탑 고점대비-0.9%',NULL,NULL,23.08,0.9901030927835052,0,NULL,NULL,0,0,10), +(369,'218150','미래생명자원','SHORT_ANT_SHAKING',3535,3430,1885,-2.9702970297029703,-197925,20,'2026-03-06 10:50:50','2026-03-06 11:11:34','금액손실컷',NULL,NULL,69.69696969696969,1.0779816513761469,0.7163323782234957,0.7984031936127743,2.627376977790681,0,0,10), +(370,'000440','중앙에너비스','SHORT_ANT_SHAKING',35200,33800,189,-3.977272727272727,-264600,9,'2026-03-06 11:02:14','2026-03-06 11:11:37','금액손실컷',NULL,NULL,21.42857142857143,1.0262040696823305,0.5747126436781609,0.3706871970345024,2.920214904426008,0,0,11), +(371,'005860','한일사료','SHORT_ANT_SHAKING',4460,4325,1494,-3.0269058295964126,-201690,45,'2026-03-06 10:58:41','2026-03-06 11:44:24','금액손실컷',NULL,NULL,62.66666666666667,1.005693669316196,0.6818181818181818,-0.800711743772242,0.4957187922487607,0,0,10), +(372,'065450','빅텍','SHORT_ANT_SHAKING',6420,6190,1038,-3.582554517133956,-238740,69,'2026-03-06 10:50:27','2026-03-06 12:00:15','금액손실컷',NULL,NULL,69.69696969696969,1.0096873277152083,1.1023622047244095,0.12476606363069245,1.062573789846517,0,0,10), +(373,'065450','빅텍','SHORT_ANT_SHAKING',6395.803,6190,47,-3.217782036125876,-9672.740999999995,1,'2026-03-06 12:00:52','2026-03-06 12:01:54','전략손절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(374,'079550','LIG넥스원','SCALP_RSI_REVERSAL',857000,852000,1,-0.5834305717619603,-5000,4,'2026-03-06 12:04:26','2026-03-06 12:09:21','트레일링스탑 고점대비-0.8%',NULL,NULL,20,0.9867863199547767,0,NULL,NULL,0,0,12), +(375,'272210','한화시스템','SCALP_RSI_REVERSAL',161600,162200,1,0.3712871287128713,600,21,'2026-03-06 12:36:06','2026-03-06 12:57:41','트레일링스탑 고점대비-0.9%',NULL,NULL,25,0.996085391334995,0,NULL,NULL,0,0,12), +(376,'465770','STX그린로지스','SHORT_ANT_SHAKING',7520,7260,886,-3.4574468085106385,-230360,112,'2026-03-06 11:17:39','2026-03-06 13:10:02','금액손실컷',NULL,NULL,25,1.001865174527045,0.2656042496679947,-0.15932023366967604,0.10649627263045794,0,0,11), +(377,'079550','LIG넥스원','SCALP_RSI_REVERSAL',851000,847000,1,-0.4700352526439483,-4000,4,'2026-03-06 13:10:10','2026-03-06 13:14:36','트레일링스탑 고점대비-0.8%',NULL,NULL,20,0.9868112057309582,0,NULL,NULL,0,0,13), +(378,'079550','LIG넥스원','SHORT_ANT_SHAKING',863000,837000,7,-3.0127462340672073,-182000,127,'2026-03-06 11:08:50','2026-03-06 13:16:25','전략손절',NULL,NULL,38.46153846153846,1,0.23228803716608595,-0.43839409321642825,0.04637143519591931,0,0,11), +(379,'008350','남선알미늄','SCALP_RSI_REVERSAL',1392,0,215,-100,-299280,1410,'2026-03-05 14:19:02','2026-03-06 13:49:45','잔고없음(강제정리)',NULL,NULL,22.22,1.0152488559631523,0,NULL,NULL,0,0,14), +(380,'065450','빅텍','SCALP_RSI_REVERSAL',6290,0,47,-100,-295630,115,'2026-03-06 11:54:14','2026-03-06 13:49:45','잔고없음(강제정리)',NULL,NULL,25,0.9997392608043805,0,NULL,NULL,0,0,11), +(381,'465770','STX그린로지스','SCALP_RSI_REVERSAL',7450,0,40,-100,-298000,68,'2026-03-06 12:59:16','2026-03-06 14:07:44','잔고없음(강제정리)',NULL,NULL,0,0.9904906808672499,0,NULL,NULL,0,0,12), +(382,'347700','스피어','SCALP_RSI_REVERSAL',45800,46250,6,0.7706168122270741,2117.6549999999997,13,'2026-03-06 13:59:10','2026-03-06 14:12:12','트레일링스탑 고점대비-1.1%',NULL,NULL,25,0.9986372308530935,0,NULL,NULL,0,0,13), +(383,'347700','스피어','SCALP_RSI_REVERSAL',46150,45800,6,-0.9669176598049837,-2677.395,6,'2026-03-06 15:11:03','2026-03-06 15:17:39','트레일링스탑 고점대비-0.9%',NULL,NULL,25,1.0005315143730344,0,NULL,NULL,0,0,15), +(384,'347700','스피어','SHORT_ANT_SHAKING',46006.64,43800,144,-4.7963511354013235,-317756.1599999999,3659,'2026-03-06 20:01:02','2026-03-09 09:00:34','금액손실컷',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(385,'475150','SK이터닉스','SHORT_ANT_SHAKING',26898.262,27400,259,1.8653175435647151,129950.14200000031,3689,'2026-03-06 20:01:02','2026-03-09 09:30:17','⏰ 61.5시간 경과 2%+ 익절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(386,'332290','누보','SHORT_ANT_SHAKING',1550,1490,4300,-3.870967741935484,-258000,25,'2026-03-09 10:11:11','2026-03-09 10:36:40','금액손실컷',NULL,NULL,6.779661016949149,1.0214255059258526,0.38860103626943004,-1.1479591836734695,2.175346077785102,0,0,10), +(387,'024060','흥구석유','SHORT_ANT_SHAKING',32100,31100,207,-3.115264797507788,-207000,27,'2026-03-09 11:17:29','2026-03-09 11:44:48','금액손실컷',NULL,NULL,47.826086956521735,1.000208051596796,0.3129890453834116,0.09354536950420954,NULL,0,0,11), +(388,'000440','중앙에너비스','SHORT_ANT_SHAKING',35650,34500,186,-3.225806451612903,-213900,17,'2026-03-09 11:32:19','2026-03-09 11:49:32','금액손실컷',NULL,NULL,5.26315789473685,0.9877911507489826,0.4231311706629055,-1.0272071071626874,NULL,0,0,11), +(389,'053050','지에스이','SHORT_ANT_SHAKING',3855,3985,1729,3.372243839169909,224770,24,'2026-03-09 12:52:41','2026-03-09 13:17:31','목표달성(퍼센트)',NULL,NULL,15,0.9871256846148374,1.4473684210526316,-0.7466529351184346,NULL,0,0,12), +(390,'010950','S-Oil','SHORT_ANT_SHAKING',131300,127200,50,-3.1226199543031226,-205000,155,'2026-03-09 11:48:38','2026-03-09 14:24:24','금액손실컷',NULL,NULL,0,0.9894498869630746,0.15255530129672007,-0.6958100136136741,NULL,0,0,11), +(391,'000440','중앙에너비스','SHORT_ANT_SHAKING',35900,34650,185,-3.4818941504178276,-231250,5,'2026-03-09 14:24:33','2026-03-09 14:30:00','금액손실컷',NULL,NULL,29.310344827586206,0.983432054253584,0.6311360448807855,-0.5677883949591469,NULL,0,0,14), +(392,'475150','SK이터닉스','SCALP_RSI_REVERSAL',26900,0,11,-100,-295900,5415,'2026-03-06 14:49:37','2026-03-10 09:05:25','잔고없음(강제정리)',NULL,NULL,25,1.0015513496742166,0,NULL,NULL,0,0,14), +(393,'000440','중앙에너비스','SCALP_RSI_REVERSAL',27800,27650,10,-0.7485161870503597,-2080.875,1,'2026-03-10 09:17:14','2026-03-10 09:18:45','트레일링스탑 고점대비-0.9%',NULL,NULL,6.67,2.236158756993392,0,NULL,NULL,0,0,9), +(394,'000440','중앙에너비스','SCALP_RSI_REVERSAL',27600,27500,10,-0.5716123188405797,-1577.65,0,'2026-03-10 09:39:05','2026-03-10 09:40:02','트레일링스탑 고점대비-0.9%',NULL,NULL,15.38,1.2219828133445056,0,NULL,NULL,0,0,9), +(395,'234340','헥토파이낸셜','SHORT_ANT_SHAKING',37500,37500,177,0,0,15,'2026-03-10 09:27:54','2026-03-10 09:43:15','💨 작은수익보호',NULL,NULL,0,0.8005555662724976,0.5361930294906166,-1.6780283167278447,2.487018311013938,0,0,9), +(396,'115180','큐리언트','SHORT_ANT_SHAKING',48750,46900,136,-3.794871794871795,-251600,16,'2026-03-10 09:42:39','2026-03-10 09:59:37','금액손실컷',NULL,NULL,1.4492753623188293,1.0498150710374865,0.30895983522142123,-2.7528426092160383,0.5673027333677153,0,0,9), +(397,'331740','아우토크립트','SHORT_ANT_SHAKING',20500,21250,325,3.6585365853658534,243750,36,'2026-03-10 09:45:44','2026-03-10 10:21:50','목표달성(퍼센트)',NULL,NULL,25,0.6663697746458581,0.49019607843137253,-1.8199233716475096,2.0179651148324167,0,0,9), +(398,'310870','디와이씨','SHORT_ANT_SHAKING',1653,1714,4032,3.690260133091349,245952,24,'2026-03-10 09:58:50','2026-03-10 10:23:09','목표달성(퍼센트)',NULL,NULL,39.473684210526315,0.9938162544169611,0.48632218844984804,-0.0967001087876169,NULL,0,0,9), +(399,'187660','현대ADM','SCALP_RSI_REVERSAL',19160,19000,15,-1.043444676409186,-2998.86,0,'2026-03-10 10:37:14','2026-03-10 10:37:58','손절 (-0.84%)',NULL,NULL,7.69,0.9843709966692288,0,NULL,NULL,0,0,10), +(400,'115180','큐리언트','SHORT_ANT_SHAKING',49450,51100,134,3.336703741152679,221100,16,'2026-03-10 10:31:14','2026-03-10 10:47:52','목표달성(퍼센트)',NULL,NULL,56.41025641025641,1.9133775854296975,0.3042596348884381,1.394299774451507,2.306817006310127,0,0,10), +(401,'321370','센서뷰','SHORT_ANT_SHAKING',2875,2870,2318,-0.17391304347826086,-11590,18,'2026-03-10 10:37:59','2026-03-10 10:56:32','💨 작은수익보호',NULL,NULL,53.125,0.032081217367822594,0.34904013961605584,0.5244755244755245,1.6349977905435262,0,0,10), +(402,'115180','큐리언트','SCALP_RSI_REVERSAL',49600,49350,6,-0.7130493951612903,-2122.035,2,'2026-03-10 10:59:05','2026-03-10 11:01:30','트레일링스탑 고점대비-0.9%',NULL,NULL,0,1.6023238133452302,0,NULL,NULL,0,0,10), +(403,'137950','제이씨케미칼','SCALP_RSI_REVERSAL',4320,4290,69,-0.9030902777777776,-2691.9314999999997,5,'2026-03-10 11:01:03','2026-03-10 11:06:05','트레일링스탑 고점대비-0.8%',NULL,NULL,0,0.9955504284772576,0,NULL,NULL,0,0,11), +(404,'137950','제이씨케미칼','SHORT_ANT_SHAKING',4375,4230,1523,-3.314285714285714,-220835,58,'2026-03-10 10:21:22','2026-03-10 11:20:04','금액손실컷',NULL,NULL,57.14285714285714,0.11698605290130777,0.22909507445589922,-0.1141552511415525,1.3493947993281983,0,0,10), +(405,'024060','흥구석유','SHORT_ANT_SHAKING',23600,23100,282,-2.11864406779661,-141000,44,'2026-03-10 10:40:47','2026-03-10 11:25:07','전략손절',NULL,NULL,42.857142857142854,0.9974904239862634,0.21231422505307856,0.0423908435777872,NULL,0,0,10), +(406,'187660','현대ADM','SCALP_RSI_REVERSAL',19080,19000,15,-0.6284696016771488,-1798.6799999999998,4,'2026-03-10 11:21:01','2026-03-10 11:26:00','트레일링스탑 고점대비-0.8%',NULL,NULL,9.09,0.9958649060545023,0,NULL,NULL,0,0,11), +(407,'000390','삼화페인트','SCALP_RSI_REVERSAL',9940,9920,30,-0.41081488933601606,-1225.05,12,'2026-03-10 11:16:08','2026-03-10 11:28:12','트레일링스탑 고점대비-0.8%',NULL,NULL,12.5,0.9961753216206819,0,NULL,NULL,0,0,11), +(408,'115180','큐리언트','SHORT_ANT_SHAKING',49600,0,6,-100,-297600,29,'2026-03-10 11:00:58','2026-03-10 11:30:04','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(409,'234340','헥토파이낸셜','SCALP_RSI_REVERSAL',39100,39100,7,-0.21,-574.77,10,'2026-03-10 11:35:40','2026-03-10 11:46:15','트레일링스탑 고점대비-0.9%',NULL,NULL,0,0.9879896098552067,0,NULL,NULL,0,0,11), +(410,'024060','흥구석유','SCALP_RSI_REVERSAL',23500,24100,12,2.338212765957447,6593.76,9,'2026-03-10 11:37:02','2026-03-10 11:46:40','익절 (2.55%)',NULL,NULL,0,1.9587704434572415,0,NULL,NULL,0,0,11), +(411,'000390','삼화페인트','SHORT_ANT_SHAKING',10020,9700,665,-3.1936127744510974,-212800,72,'2026-03-10 10:34:29','2026-03-10 11:47:11','금액손실컷',NULL,NULL,57.608695652173914,0.09656840044853228,0.6030150753768844,-0.5459057071960298,1.0207939508506616,0,0,10), +(412,'024060','흥구석유','SHORT_ANT_SHAKING',23550,24500,283,4.033970276008493,268850,7,'2026-03-10 11:40:20','2026-03-10 11:47:26','목표달성(퍼센트)',NULL,NULL,57.14285714285714,0.7156234298156128,0.42643923240938164,0.469283276450512,0.6087792374239026,0,0,11), +(413,'137950','제이씨케미칼','SHORT_ANT_SHAKING',4305,4340,1548,0.8130081300813009,54180,2,'2026-03-10 11:49:13','2026-03-10 11:51:39','스캘핑_본절사수',NULL,NULL,61.53846153846154,0.26640232947153214,0.23364485981308408,0.4667444574095682,0.8468322850416302,0,0,11), +(414,'137950','제이씨케미칼','SCALP_RSI_REVERSAL',4342,4310,69,-0.9455504375863656,-2832.8502,0,'2026-03-10 12:00:07','2026-03-10 12:01:00','손절 (-0.74%)',NULL,NULL,3.85,0.7133081990527685,0,NULL,NULL,0,0,12), +(415,'024060','흥구석유','SCALP_RSI_REVERSAL',24900,25400,12,1.7941164658634539,5360.82,1,'2026-03-10 12:02:03','2026-03-10 12:03:21','익절 (2.01%)',NULL,NULL,15,1.2558192674233215,0,NULL,NULL,0,0,12), +(416,'376900','로킷헬스케어','SCALP_RSI_REVERSAL',74900,75200,4,0.18975300400534045,568.5,3,'2026-03-10 12:00:02','2026-03-10 12:03:33','트레일링스탑 고점대비-1.1%',NULL,NULL,14.29,1.1896820102290415,0,NULL,NULL,0,0,12), +(417,'024060','흥구석유','SHORT_ANT_SHAKING',25000,24300,266,-2.8000000000000003,-186200,7,'2026-03-10 12:12:19','2026-03-10 12:20:11','칼손절(-3.0%)',NULL,NULL,15.384615384615387,0.6078516403467313,0.2004008016032064,-0.2593257530420906,3.029054193282506,0,0,12), +(418,'310870','디와이씨','SCALP_RSI_REVERSAL',1646,1634,182,-0.9376184690157959,-2808.8424,10,'2026-03-10 12:13:06','2026-03-10 12:23:50','손절 (-0.73%)',NULL,NULL,0,0.9922355551073914,0,NULL,NULL,0,0,12), +(419,'000390','삼화페인트','SHORT_ANT_SHAKING',9910,10210,672,3.027245206861756,201600,1,'2026-03-10 12:24:36','2026-03-10 12:25:49','목표달성(퍼센트)',NULL,NULL,51.85185185185185,0.30130555606229215,0.20222446916076847,0.10101010101010101,1.267116288575516,0,0,12), +(420,'047040','대우건설','SCALP_RSI_REVERSAL',9370,9460,32,0.7486392742796159,2244.7200000000003,29,'2026-03-10 11:58:02','2026-03-10 12:27:31','트레일링스탑 고점대비-0.8%',NULL,NULL,0,0.9836954192912543,0,NULL,NULL,0,0,11), +(421,'047040','대우건설','SHORT_ANT_SHAKING',9380,0,32,-100,-300160,30,'2026-03-10 12:00:11','2026-03-10 12:30:15','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(422,'137950','제이씨케미칼','SHORT_ANT_SHAKING',4340,0,4,-100,-17360,30,'2026-03-10 12:00:11','2026-03-10 12:30:15','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(423,'376900','로킷헬스케어','SCALP_RSI_REVERSAL',76400,75800,3,-0.9938089005235603,-2277.81,1,'2026-03-10 12:29:04','2026-03-10 12:30:55','손절 (-0.79%)',NULL,NULL,11.11,1.011075306669555,0,NULL,NULL,0,0,12), +(424,'347700','스피어','SHORT_ANT_SHAKING',52300,50800,127,-2.8680688336520075,-190500,128,'2026-03-10 10:24:20','2026-03-10 12:32:48','전략손절',NULL,NULL,66.66666666666666,1.9878259911098948,0.19157088122605362,0.3068661296509398,2.9780950036918536,0,0,10), +(425,'000390','삼화페인트','SCALP_RSI_REVERSAL',10020,9940,29,-1.0068463073852296,-2925.694,1,'2026-03-10 12:35:02','2026-03-10 12:36:41','손절 (-0.80%)',NULL,NULL,9.09,0.9953218032322086,0,NULL,NULL,0,0,12), +(426,'000440','중앙에너비스','SHORT_ANT_SHAKING',28250,29100,235,3.0088495575221237,199750,37,'2026-03-10 12:02:46','2026-03-10 12:40:08','목표달성(퍼센트)',NULL,NULL,62.85714285714286,1.9926501188536443,2.355072463768116,-0.4580690627202256,3.4230276404905733,0,0,12), +(427,'087010','펩트론','SCALP_RSI_REVERSAL',312000,309500,1,-1.0097195512820512,-3150.325,0,'2026-03-10 12:42:01','2026-03-10 12:42:09','손절 (-0.80%)',NULL,NULL,14.29,4.860223927378336,0,NULL,NULL,0,0,12), +(428,'137950','제이씨케미칼','SCALP_RSI_REVERSAL',4345,4350,69,-0.09514959723820482,-285.26324999999997,2,'2026-03-10 12:51:01','2026-03-10 12:53:25','트레일링스탑 고점대비-0.9%',NULL,NULL,14.29,1.0008932139247348,0,NULL,NULL,0,0,12), +(429,'087010','펩트론','SCALP_RSI_REVERSAL',304000,301500,1,-1.030764802631579,-3133.525,0,'2026-03-10 12:59:00','2026-03-10 12:59:19','손절 (-0.82%)',NULL,NULL,3.45,1.7669358031344917,0,NULL,NULL,0,0,12), +(430,'376900','로킷헬스케어','SHORT_ANT_SHAKING',76800,74200,86,-3.3854166666666665,-223600,83,'2026-03-10 11:40:45','2026-03-10 13:04:27','금액손실컷',NULL,NULL,39.53488372093023,1.6661729857819905,0.39215686274509803,-1.4626635873749037,2.5983568231915033,0,0,11), +(431,'137950','제이씨케미칼','SCALP_RSI_REVERSAL',4280,4250,70,-0.9095677570093459,-2725.065,0,'2026-03-10 13:13:04','2026-03-10 13:14:00','손절 (-0.70%)',NULL,NULL,0,0.9840927220684154,0,NULL,NULL,0,0,13), +(432,'137950','제이씨케미칼','SHORT_ANT_SHAKING',4350,4205,1532,-3.3333333333333335,-222140,30,'2026-03-10 12:56:38','2026-03-10 13:26:38','금액손실컷',NULL,NULL,15.78947368421052,0.9983859810929214,1.0465116279069768,-0.7076010043369094,0.13581639465020684,0,0,12), +(433,'234340','헥토파이낸셜','SCALP_RSI_REVERSAL',38550,38850,7,0.566692607003891,1529.22,25,'2026-03-10 13:03:02','2026-03-10 13:28:36','트레일링스탑 고점대비-0.9%',NULL,NULL,0,0.9957564575645755,0,NULL,NULL,0,0,13), +(434,'000390','삼화페인트','SHORT_ANT_SHAKING',9900,10170,673,2.727272727272727,181710,90,'2026-03-10 12:44:40','2026-03-10 14:14:44','목표달성(퍼센트)',NULL,NULL,7.142857142857139,0.22908524730424862,0.4056795131845842,-0.8016032064128256,0.22779043280182232,0,0,12), +(435,'087010','펩트론','SHORT_ANT_SHAKING',299000,290000,22,-3.0100334448160537,-198000,68,'2026-03-10 13:22:47','2026-03-10 14:31:00','금액손실컷',NULL,NULL,36.36363636363636,0.978456503954186,0.8431703204047217,-0.6644518272425249,NULL,0,0,13), +(436,'234340','헥토파이낸셜','SCALP_RSI_REVERSAL',38850,38600,7,-0.8522458172458173,-2317.6825,13,'2026-03-10 14:18:07','2026-03-10 14:31:19','트레일링스탑 고점대비-0.9%',NULL,NULL,0,0.999578847621805,0,NULL,NULL,0,0,14), +(437,'376900','로킷헬스케어','SHORT_ANT_SHAKING',77200,77700,86,0.6476683937823834,43000,46,'2026-03-10 13:58:06','2026-03-10 14:45:02','스캘핑_본절사수',NULL,NULL,63.63636363636363,1.0655921137869468,0.5208333333333333,-0.43848336342532884,1.806672820783331,0,0,13), +(438,'234340','헥토파이낸셜','SHORT_ANT_SHAKING',38950,38050,171,-2.3106546854942236,-153900,125,'2026-03-10 12:55:04','2026-03-10 15:00:56','전략손절',NULL,NULL,57.14285714285714,1.000386249517188,0.2574002574002574,0.6980351602895553,0.1735999485629782,0,0,12), +(439,'000390','삼화페인트','SCALP_RSI_REVERSAL',9970,9960,30,-0.3101053159478435,-927.525,17,'2026-03-10 14:55:04','2026-03-10 15:12:52','트레일링스탑 고점대비-0.9%',NULL,NULL,0,0.9896277351520318,0,NULL,NULL,0,0,14), +(440,'000390','삼화페인트','SHORT_ANT_SHAKING',10030,10530,664,4.985044865403789,332000,1107,'2026-03-10 14:32:46','2026-03-11 09:00:23','💰 18.5시간내 5%+ 익절',NULL,NULL,45.00000000000001,0.5154705403189955,0.1998001998001998,-0.37743345252284466,0.12977937506239393,0,0,14), +(441,'353200','대덕전자','SHORT_ANT_SHAKING',65200,67200,102,3.067484662576687,204000,1406,'2026-03-10 09:40:59','2026-03-11 09:07:36','목표달성(퍼센트)',NULL,NULL,55.55555555555556,1.4175163586839779,0.9287925696594427,-1.1971510834974997,3.3690051525961153,0,0,9), +(442,'327260','RF머트리얼즈','SCALP_RSI_REVERSAL',65100,64900,4,-0.5166205837173579,-1345.28,1,'2026-03-11 09:25:27','2026-03-11 09:26:41','본절사수 (순익≈-0.52%)',NULL,NULL,16.67,2.2393786784114287,0,NULL,NULL,0,0,9), +(443,'015750','성우하이텍','SCALP_RSI_REVERSAL',11510,11550,26,0.1368462206776716,409.52600000000007,1,'2026-03-11 10:24:50','2026-03-11 10:26:17','본절사수 (순익≈+0.14%)',NULL,NULL,15.38,0.9870195667365479,0,NULL,NULL,0,0,10), +(444,'032820','우리기술','SHORT_ANT_SHAKING',21325,22000,312,3.1652989449003512,210600,20,'2026-03-11 10:07:21','2026-03-11 10:27:39','목표달성(퍼센트)',NULL,NULL,21.05263157894737,0.9844399938376213,0.4716981132075472,-0.37374445223078717,NULL,0,0,10), +(445,'412350','레이저쎌','SHORT_ANT_SHAKING',5370,5350,1241,-0.37243947858473,-24820,21,'2026-03-11 10:15:49','2026-03-11 10:37:42','💨 작은수익보호',NULL,NULL,34.375,0.07837715261969028,0.5617977528089888,0.5241482590789966,2.013677811550152,0,0,10), +(446,'015750','성우하이텍','SCALP_RSI_REVERSAL',11390,11420,26,0.05287532923617205,156.58499999999992,2,'2026-03-11 10:42:01','2026-03-11 10:44:10','본절사수 (순익≈+0.05%)',NULL,NULL,8.33,0.9770320186264728,0,NULL,NULL,0,0,10), +(447,'138080','오이솔루션','SCALP_RSI_REVERSAL',29250,28450,10,-2.9397094017094014,-8598.65,0,'2026-03-11 10:44:17','2026-03-11 10:45:11','손절 (-2.74%)',NULL,NULL,18.52,1.0361406318241373,0,NULL,NULL,0,0,10), +(448,'138080','오이솔루션','SHORT_ANT_SHAKING',29150,28250,228,-3.0874785591766725,-205200,1,'2026-03-11 10:44:12','2026-03-11 10:45:31','금액손실컷',NULL,NULL,46.51162790697674,1.0408655995707772,1.391304347826087,-1.6531713900134952,4.069975008925384,0,0,10), +(449,'327260','RF머트리얼즈','SCALP_RSI_REVERSAL',66300,66400,4,-0.059464555052790316,-157.69999999999993,0,'2026-03-11 11:28:58','2026-03-11 11:29:24','본절사수 (순익≈-0.06%)',NULL,NULL,20,0.9948864490900887,0,NULL,NULL,0,0,11), +(450,'138080','오이솔루션','SCALP_RSI_REVERSAL',29300,29400,10,0.13063139931740614,382.75,1,'2026-03-11 11:36:06','2026-03-11 11:37:41','본절사수 (순익≈+0.13%)',NULL,NULL,16.67,1.0035298640478105,0,NULL,NULL,0,0,11), +(451,'138080','오이솔루션','SHORT_ANT_SHAKING',29350,30250,227,3.0664395229982966,204300,53,'2026-03-11 11:18:19','2026-03-11 12:11:21','목표달성(퍼센트)',NULL,NULL,29.411764705882362,0.46869013903141105,0.3418803418803419,-0.27183146449201495,0.6170723345903325,0,0,11), +(452,'015750','성우하이텍','SCALP_RSI_REVERSAL',11380,11150,26,-2.227148506151142,-6589.687,26,'2026-03-11 12:12:02','2026-03-11 12:38:53','손절 (-2.02%)',NULL,NULL,25,0.9895652173913043,0,NULL,NULL,0,0,12), +(453,'215380','우정바이오','SHORT_ANT_SHAKING',4235,4365,1573,3.0696576151121606,204490,3,'2026-03-11 12:43:41','2026-03-11 12:46:55','목표달성(퍼센트)',NULL,NULL,51.11111111111111,0.10748671662384986,0.35545023696682465,-1.0976179355441382,2.255167085184461,0,0,12), +(454,'015750','성우하이텍','SHORT_ANT_SHAKING',11390,0,26,-100,-296140,29,'2026-03-11 12:30:57','2026-03-11 13:00:52','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(455,'215380','우정바이오','SHORT_ANT_SHAKING',4325,4160,1541,-3.815028901734104,-254265,13,'2026-03-11 13:13:25','2026-03-11 13:27:16','금액손실컷',NULL,NULL,51.06382978723405,0.09319977225049847,0.4645760743321719,-0.253690036900369,0.8041020860039623,0,0,13), +(456,'215380','우정바이오','SCALP_RSI_REVERSAL',4197,4205,71,-0.019759351918036665,-58.88029999999992,2,'2026-03-11 13:29:13','2026-03-11 13:31:50','본절사수 (순익≈-0.02%)',NULL,NULL,14.29,0.9714806831371248,0,NULL,NULL,0,0,13), +(457,'215380','우정바이오','SHORT_ANT_SHAKING',4200,0,71,-100,-298200,30,'2026-03-11 13:30:03','2026-03-11 14:00:07','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(458,'253590','네오셈','SHORT_ANT_SHAKING',20350,19700,327,-3.194103194103194,-212550,184,'2026-03-11 11:09:56','2026-03-11 14:14:55','금액손실컷',NULL,NULL,27.77777777777777,0.1728739484920793,0.49382716049382713,-1.3572467280659235,0.38476716653512233,0,0,11), +(459,'253590','네오셈','SCALP_RSI_REVERSAL',19900,19980,15,0.19122613065326635,570.8100000000001,15,'2026-03-11 14:10:03','2026-03-11 14:25:06','본절사수 (순익≈+0.19%)',NULL,NULL,22.58,0.9920906370243694,0,NULL,NULL,0,0,14), +(460,'215380','우정바이오','SHORT_ANT_SHAKING',4205,4075,1585,-3.0915576694411415,-206050,12,'2026-03-11 14:13:11','2026-03-11 14:26:00','금액손실컷',NULL,NULL,52.631578947368425,0.326457413028795,0.35799522673031026,0.549976087996174,0.6643126458794661,0,0,14), +(461,'000440','중앙에너비스','SCALP_RSI_REVERSAL',28800,28950,10,0.30981770833333333,892.275,1,'2026-03-11 14:51:08','2026-03-11 14:52:57','트레일링스탑 고점대비-1.0%',NULL,NULL,12,2.42198736145484,0,NULL,NULL,0,0,14), +(462,'032820','우리기술','SCALP_RSI_REVERSAL',22225,21750,13,-2.3430652418447693,-6769.70125,4,'2026-03-11 14:59:01','2026-03-11 15:03:23','손절 (-2.14%)',NULL,NULL,22.22,0.9786774628879892,0,NULL,NULL,0,0,14), +(463,'032820','우리기술','SHORT_ANT_SHAKING',22200,0,13,-100,-288600,15,'2026-03-11 15:00:12','2026-03-11 15:16:01','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(464,'035460','기산텔레콤','SCALP_RSI_REVERSAL',2555,2500,117,-2.358444227005871,-7050.21525,0,'2026-03-12 09:15:06','2026-03-12 09:16:05','손절 (-2.15%)',NULL,NULL,8.7,0.9851899549259497,0,NULL,NULL,0,0,9), +(465,'224060','더코디','SCALP_RSI_REVERSAL',5320,5280,56,-0.9604135338345865,-2861.264,0,'2026-03-12 09:18:12','2026-03-12 09:19:09','본절사수 (순익≈-0.96%)',NULL,NULL,10.61,0.5499786258641784,0,NULL,NULL,0,0,9), +(466,'038500','삼표시멘트','SHORT_ANT_SHAKING',18230,18830,365,3.2912781130005486,219000,3,'2026-03-12 09:30:42','2026-03-12 09:33:55','목표달성(퍼센트)',NULL,NULL,30.26315789473685,0.03369314270616927,0.21990104452996154,0.37440810483426934,0.07685551163812034,0,0,9), +(467,'321370','센서뷰','SHORT_ANT_SHAKING',3560,3450,1872,-3.089887640449438,-205920,20,'2026-03-12 09:40:58','2026-03-12 10:01:14','금액손실컷',NULL,NULL,15.217391304347828,0.007028885263221388,0.28169014084507044,-0.4195804195804196,0.2746285472854024,0,0,9), +(468,'043260','성호전자','SHORT_ANT_SHAKING',50100,50200,133,0.19960079840319359,13300,14,'2026-03-12 09:46:42','2026-03-12 10:01:37','💨 작은수익보호',NULL,NULL,33.33333333333333,0.8203331044603972,0.4008016032064128,-1.0272619517977084,1.787891101178383,0,0,9), +(469,'229000','젠큐릭스','SHORT_ANT_SHAKING',4120,4005,1617,-2.7912621359223304,-185955,7,'2026-03-12 09:57:06','2026-03-12 10:04:26','금액손실컷',NULL,NULL,0,0.9815366289458011,0.4878048780487805,-1.1753418085871912,NULL,0,0,9), +(470,'412350','레이저쎌','SHORT_ANT_SHAKING',5520,5510,1207,-0.18115942028985507,-12070,2,'2026-03-12 10:03:30','2026-03-12 10:06:01','💨 작은수익보호',NULL,NULL,37.93103448275862,0.21496608724658092,0.36363636363636365,-1.6743854649091556,3.925444789607455,0,0,10), +(471,'065170','비엘팜텍','SCALP_RSI_REVERSAL',4490,4395,66,-2.321687082405345,-6880.0875,3,'2026-03-12 10:03:06','2026-03-12 10:06:18','손절 (-2.12%)',NULL,NULL,18.18,1.0295657458047025,0,NULL,NULL,0,0,10), +(472,'065170','비엘팜텍','SHORT_ANT_SHAKING',4505,4355,1479,-3.3296337402885685,-221850,20,'2026-03-12 09:46:26','2026-03-12 10:06:27','금액손실컷',NULL,NULL,61.17647058823529,0.11408673630895853,0.8958566629339306,-1.0976948408342482,5.24471440252307,0,0,9), +(473,'043260','성호전자','SCALP_RSI_REVERSAL',49600,49700,6,-0.008780241935483869,-26.129999999999995,3,'2026-03-12 10:07:03','2026-03-12 10:10:24','본절사수 (순익≈-0.01%)',NULL,NULL,18.18,1.1048049034019463,0,NULL,NULL,0,0,10), +(474,'032500','케이엠더블유','SHORT_ANT_SHAKING',26350,26600,252,0.9487666034155597,63000,23,'2026-03-12 09:57:33','2026-03-12 10:21:26','💨 작은수익보호',NULL,NULL,21.05263157894737,1.0005995802937944,0.19011406844106463,-0.26495079485238454,NULL,0,0,9), +(475,'412350','레이저쎌','SCALP_RSI_REVERSAL',5480,5350,54,-2.5776368613138687,-7627.743,10,'2026-03-12 10:15:07','2026-03-12 10:25:56','손절 (-2.37%)',NULL,NULL,14.29,0.7885378337821448,0,NULL,NULL,0,0,10), +(476,'229000','젠큐릭스','SCALP_RSI_REVERSAL',4025,4030,74,-0.08601863354037267,-256.2065,2,'2026-03-12 10:32:03','2026-03-12 10:34:59','본절사수 (순익≈-0.09%)',NULL,NULL,25,0.9981401115933044,0,NULL,NULL,0,0,10), +(477,'065170','비엘팜텍','SCALP_RSI_REVERSAL',4355,4360,68,-0.09541331802525833,-282.557,0,'2026-03-12 10:43:03','2026-03-12 10:43:53','본절사수 (순익≈-0.10%)',NULL,NULL,14.29,0.9875968992248061,0,NULL,NULL,0,0,10), +(478,'035460','기산텔레콤','SHORT_ANT_SHAKING',2670,2740,2496,2.6217228464419478,174720,24,'2026-03-12 10:22:13','2026-03-12 10:46:23','목표달성(퍼센트)',NULL,NULL,15.78947368421052,0.03147144040590482,0.37593984962406013,-0.7434944237918215,0.03746721618583739,0,0,10), +(479,'229000','젠큐릭스','SCALP_RSI_REVERSAL',4035,4050,74,0.16102230483271376,480.79650000000004,0,'2026-03-12 10:50:02','2026-03-12 10:50:26','본절사수 (순익≈+0.16%)',NULL,NULL,16.67,0.9964048371282275,0,NULL,NULL,0,0,10), +(480,'229000','젠큐릭스','SCALP_RSI_REVERSAL',4030,3945,74,-2.3150682382134,-6903.9965,9,'2026-03-12 11:06:04','2026-03-12 11:16:03','손절 (-2.11%)',NULL,NULL,20,0.9935768261964735,0,NULL,NULL,0,0,11), +(481,'229000','젠큐릭스','SHORT_ANT_SHAKING',4040,3905,1649,-3.341584158415842,-222615,16,'2026-03-12 11:02:35','2026-03-12 11:18:49','금액손실컷',NULL,NULL,36.48648648648649,0.9937504822158784,0.37267080745341613,-0.42884605905259743,NULL,0,0,11), +(482,'043260','성호전자','SCALP_RSI_REVERSAL',49650,48650,6,-2.2201711983887207,-6613.889999999999,2,'2026-03-12 11:25:02','2026-03-12 11:27:03','손절 (-2.01%)',NULL,NULL,20,3.8144983583092156,0,NULL,NULL,0,0,11), +(483,'004090','한국석유','SCALP_RSI_REVERSAL',20850,20900,14,0.029340527577937682,85.6450000000001,1,'2026-03-12 11:43:02','2026-03-12 11:44:48','본절사수 (순익≈+0.03%)',NULL,NULL,8.33,1.5058522209688325,0,NULL,NULL,0,0,11), +(484,'137950','제이씨케미칼','SHORT_ANT_SHAKING',4380,4520,1521,3.1963470319634704,212940,3,'2026-03-12 11:43:52','2026-03-12 11:47:33','목표달성(퍼센트)',NULL,NULL,67.07317073170732,0.08148132301112555,1.1547344110854503,-1.6835016835016834,1.7421602787456445,0,0,11), +(485,'004090','한국석유','SHORT_ANT_SHAKING',20900,21650,318,3.588516746411483,238500,8,'2026-03-12 11:43:16','2026-03-12 11:51:51','목표달성(퍼센트)',NULL,NULL,60.714285714285715,0.5581029318472003,0.2398081534772182,-1.1586663513833058,0.6683123607682582,0,0,11), +(486,'065170','비엘팜텍','SCALP_RSI_REVERSAL',4375,4380,68,-0.09593714285714286,-285.413,2,'2026-03-12 11:51:03','2026-03-12 11:53:13','본절사수 (순익≈-0.10%)',NULL,NULL,16.67,0.9917558241860035,0,NULL,NULL,0,0,11), +(487,'137950','제이씨케미칼','SCALP_RSI_REVERSAL',4510,4520,66,0.011297117516629734,33.627000000000066,3,'2026-03-12 12:07:04','2026-03-12 12:10:20','본절사수 (순익≈+0.01%)',NULL,NULL,25,0.9913808912525215,0,NULL,NULL,0,0,12), +(488,'035460','기산텔레콤','SCALP_RSI_REVERSAL',2645,2645,113,-0.21,-627.6585,4,'2026-03-12 12:13:05','2026-03-12 12:17:26','본절사수 (순익≈-0.21%)',NULL,NULL,25,0.9891623735928259,0,NULL,NULL,0,0,12), +(489,'137950','제이씨케미칼','SHORT_ANT_SHAKING',4490,4355,1484,-3.0066815144766146,-200340,10,'2026-03-12 12:07:50','2026-03-12 12:17:57','금액손실컷',NULL,NULL,11.111111111111114,0.039362839811672726,0.672645739910314,-1.3620386643233744,0.7121628441653115,0,0,12), +(490,'065170','비엘팜텍','SHORT_ANT_SHAKING',4450,4290,1497,-3.5955056179775284,-239520,90,'2026-03-12 10:51:21','2026-03-12 12:22:13','금액손실컷',NULL,NULL,69.69696969696969,0.2944095379396643,0.3382187147688839,0.7471134254018564,0.7300096202818177,0,0,10), +(491,'035460','기산텔레콤','SCALP_RSI_REVERSAL',2670,2680,112,0.16380149812734082,489.832,1,'2026-03-12 12:32:27','2026-03-12 12:34:18','본절사수 (순익≈+0.16%)',NULL,NULL,25,0.9986998585140147,0,NULL,NULL,0,0,12), +(492,'137950','제이씨케미칼','SCALP_RSI_REVERSAL',4375,4390,68,0.13218857142857146,393.2610000000001,0,'2026-03-12 12:39:05','2026-03-12 12:39:57','본절사수 (순익≈+0.13%)',NULL,NULL,9.09,0.9785864240727782,0,NULL,NULL,0,0,12), +(493,'004090','한국석유','SCALP_RSI_REVERSAL',21075,21150,14,0.14517793594306053,428.3475000000001,2,'2026-03-12 12:43:05','2026-03-12 12:45:49','본절사수 (순익≈+0.15%)',NULL,NULL,22.22,0.9862784471218207,0,NULL,NULL,0,0,12), +(494,'000440','중앙에너비스','SCALP_RSI_REVERSAL',33950,33250,8,-2.2678350515463914,-6159.44,4,'2026-03-12 12:48:03','2026-03-12 12:52:09','손절 (-2.06%)',NULL,NULL,12.5,0.978527878413007,0,NULL,NULL,0,0,12), +(495,'024060','흥구석유','SCALP_RSI_REVERSAL',26950,27050,11,0.1603339517625232,475.31000000000006,7,'2026-03-12 12:48:00','2026-03-12 12:55:50','본절사수 (순익≈+0.16%)',NULL,NULL,15.38,0.968692584699052,0,NULL,NULL,0,0,12), +(496,'035460','기산텔레콤','SHORT_ANT_SHAKING',2672.458,2585,666,-3.2725678008784453,-58247.02800000006,0,'2026-03-12 13:00:36','2026-03-12 13:01:08','전략손절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(497,'065170','비엘팜텍','SCALP_RSI_REVERSAL',4280,4185,70,-2.4252978971962618,-7266.1925,11,'2026-03-12 13:03:04','2026-03-12 13:14:44','손절 (-2.22%)',NULL,NULL,7.14,0.6395306286745871,0,NULL,NULL,0,0,13), +(498,'000440','중앙에너비스','SCALP_RSI_REVERSAL',33900,33150,8,-2.418075221238938,-6557.82,1,'2026-03-12 13:15:01','2026-03-12 13:16:17','손절 (-2.21%)',NULL,NULL,11.11,0.9915707667015394,0,NULL,NULL,0,0,13), +(499,'476060','온코닉테라퓨틱스','SCALP_RSI_REVERSAL',22500,22550,13,0.011788888888888913,34.48250000000007,18,'2026-03-12 13:03:32','2026-03-12 13:22:08','본절사수 (순익≈+0.01%)',NULL,NULL,25,5.023518129509545,0,NULL,NULL,0,0,13), +(500,'035460','기산텔레콤','SHORT_ANT_SHAKING',2660,2755,2505,3.571428571428571,237975,6,'2026-03-12 13:35:24','2026-03-12 13:41:41','목표달성(퍼센트)',NULL,NULL,68.75,0.361642716066199,0.37735849056603776,1.3719512195121952,0.8435219410482417,0,0,13), +(501,'043260','성호전자','SCALP_RSI_REVERSAL',49800,50000,6,0.19082329317269078,570.1800000000001,5,'2026-03-12 13:50:09','2026-03-12 13:55:19','본절사수 (순익≈+0.19%)',NULL,NULL,22.22,7.1443254465845785,0,NULL,NULL,0,0,13), +(502,'000440','중앙에너비스','SCALP_RSI_REVERSAL',33000,33250,9,0.5460984848484848,1621.9125,4,'2026-03-12 13:56:06','2026-03-12 14:00:29','트레일링스탑 고점대비-0.9%',NULL,NULL,20,1.7348091549001117,0,NULL,NULL,0,0,13), +(503,'032500','케이엠더블유','SCALP_RSI_REVERSAL',25750,25850,11,0.17759223300970878,503.0300000000001,42,'2026-03-12 13:33:06','2026-03-12 14:15:14','본절사수 (순익≈+0.18%)',NULL,NULL,12.5,4.896539145147895,0,NULL,NULL,0,0,13), +(504,'000440','중앙에너비스','SHORT_ANT_SHAKING',33000,0,9,-100,-297000,30,'2026-03-12 14:00:08','2026-03-12 14:30:12','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(505,'032500','케이엠더블유','SHORT_ANT_SHAKING',26039.661,0,11,-100,-286436.271,30,'2026-03-12 14:00:08','2026-03-12 14:30:12','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(506,'065170','비엘팜텍','SHORT_ANT_SHAKING',4350,4220,1532,-2.9885057471264367,-199160,34,'2026-03-12 14:10:19','2026-03-12 14:44:30','금액손실컷',NULL,NULL,38.23529411764706,0.1622492596211946,0.34602076124567477,-1.1363636363636365,0.9925126240640779,0,0,14), +(507,'466930','SOL 자동차TOP3플러스','SHORT_ANT_SHAKING',21440,21305,4,-0.6296641791044776,-540,2475,'2026-03-11 15:16:01','2026-03-13 08:31:03','전략손절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(508,'035460','기산텔레콤','SHORT_ANT_SHAKING',2690,2635,2477,-2.0446096654275094,-136235,1134,'2026-03-12 14:05:25','2026-03-13 09:00:16','전략손절',NULL,NULL,52.94117647058823,0.4452699397185761,0.3731343283582089,-0.14847809948032664,0.834036172804798,0,0,14), +(509,'032500','케이엠더블유','SHORT_ANT_SHAKING',26100,25700,255,-1.532567049808429,-102000,1106,'2026-03-12 14:34:09','2026-03-13 09:00:33','전략손절',NULL,NULL,42.857142857142854,1.4662056451726162,0.1926782273603083,0.19193857965451055,1.4183019234505536,0,0,14), +(510,'043260','성호전자','SHORT_ANT_SHAKING',49656.13,47550,133,-4.241430010755968,-280115.28999999963,291,'2026-03-13 04:09:03','2026-03-13 09:00:36','금액손실컷',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(511,'065440','이루온','SCALP_RSI_REVERSAL',2340,2290,128,-2.34258547008547,-7016.512,1,'2026-03-13 09:15:04','2026-03-13 09:16:29','손절 (-2.14%)',NULL,NULL,6.9,0.9863925007559721,0,NULL,NULL,0,0,9), +(512,'950250','테라뷰','SCALP_RSI_REVERSAL',8650,8720,34,0.5976705202312139,1757.749,0,'2026-03-13 09:19:02','2026-03-13 09:19:38','트레일링스탑 고점대비-0.9%',NULL,NULL,17.24,0.997540865036887,0,NULL,NULL,0,0,9), +(513,'321370','센서뷰','SCALP_RSI_REVERSAL',3690,3790,81,2.4947425474254743,7456.536,2,'2026-03-13 09:27:02','2026-03-13 09:29:57','익절 (2.71%)',NULL,NULL,16.67,0.975609756097561,0,NULL,NULL,0,0,9), +(514,'466930','SOL 자동차TOP3플러스','SHORT_ANT_SHAKING',21440,0,4,-100,-85760,30,'2026-03-13 09:00:23','2026-03-13 09:30:30','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(515,'950250','테라뷰','SHORT_ANT_SHAKING',8640,8950,462,3.587962962962963,143220,1,'2026-03-13 09:30:49','2026-03-13 09:32:13','목표달성(퍼센트)',NULL,NULL,40.816326530612244,0.025994023179809145,0.23201856148491878,0.3251277287505806,0.11007473495162506,0,0,9), +(516,'047050','포스코인터내셔널','SCALP_RSI_REVERSAL',80300,80500,3,0.038580323785803255,92.94000000000005,4,'2026-03-13 09:30:01','2026-03-13 09:34:24','본절사수 (순익≈+0.04%)',NULL,NULL,20,3.613011179758753,0,NULL,NULL,0,0,9), +(517,'065440','이루온','SCALP_RSI_REVERSAL',2330,2330,128,-0.21,-626.304,0,'2026-03-13 09:38:04','2026-03-13 09:38:50','본절사수 (순익≈-0.21%)',NULL,NULL,25,0.980708523325149,0,NULL,NULL,0,0,9), +(518,'369370','블리츠웨이엔터테인먼트','SHORT_ANT_SHAKING',1878,1935,2129,3.035143769968051,121353,3,'2026-03-13 09:43:57','2026-03-13 09:47:07','목표달성(퍼센트)',NULL,NULL,65.97510373443984,0.00435756993777933,0.967741935483871,-2.0344287949921753,2.3712183156173343,0,0,9), +(519,'065440','이루온','SHORT_ANT_SHAKING',2350,2430,1701,3.404255319148936,136080,3,'2026-03-13 09:46:42','2026-03-13 09:49:46','목표달성(퍼센트)',NULL,NULL,35.71428571428572,0.9876456549206795,0.4282655246252677,0.4531076344361763,NULL,0,0,9), +(520,'321370','센서뷰','SHORT_ANT_SHAKING',3780,3900,1058,3.1746031746031744,126960,20,'2026-03-13 09:31:03','2026-03-13 09:52:02','목표달성(퍼센트)',NULL,NULL,41.77215189873418,0.03446221822572068,0.2652519893899204,-0.42149631190727077,4.938785708336806,0,0,9), +(521,'047050','포스코인터내셔널','SHORT_ANT_SHAKING',80233.333,0,3,-100,-240699.999,30,'2026-03-13 09:30:30','2026-03-13 10:00:32','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(522,'321370','센서뷰','SCALP_RSI_REVERSAL',3820,3740,78,-2.300157068062827,-6853.548,4,'2026-03-13 09:58:27','2026-03-13 10:03:10','손절 (-2.09%)',NULL,NULL,11.76,1.0080135531234033,0,NULL,NULL,0,0,9), +(523,'065440','이루온','SCALP_RSI_REVERSAL',2370,2315,126,-2.526149789029536,-7543.5885,2,'2026-03-13 10:18:05','2026-03-13 10:20:23','손절 (-2.32%)',NULL,NULL,16.67,0.9974179110900718,0,NULL,NULL,0,0,10), +(524,'321370','센서뷰','SHORT_ANT_SHAKING',3824.487,3670,78,-4.039417574174002,-12049.986000000006,22,'2026-03-13 10:00:32','2026-03-13 10:23:08','전략손절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(525,'065440','이루온','SHORT_ANT_SHAKING',2390,2270,1673,-5.02092050209205,-200760,16,'2026-03-13 10:13:32','2026-03-13 10:29:54','금액손실컷',NULL,NULL,47.05882352941176,0.008777480921859995,0.6329113924050633,-0.12536564981195153,0.18443997317237135,0,0,10), +(526,'321370','센서뷰','SCALP_RSI_REVERSAL',3675,0,81,-100,-297675,7,'2026-03-13 10:23:01','2026-03-13 10:30:24','잔고없음(강제정리)',NULL,NULL,20,0.9707822044434834,0,NULL,NULL,0,0,10), +(527,'321370','센서뷰','SHORT_ANT_SHAKING',3685,3595,3,-2.4423337856173677,-270,0,'2026-03-13 10:30:35','2026-03-13 10:31:22','전략손절',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(528,'073540','에프알텍','SCALP_RSI_REVERSAL',2690,2635,111,-2.2506226765799258,-6720.13425,2,'2026-03-13 10:53:05','2026-03-13 10:55:24','손절 (-2.04%)',NULL,NULL,14.29,0.8428288253724663,0,NULL,NULL,0,0,10), +(529,'010170','대한광통신','SHORT_ANT_SHAKING',7770,7780,514,0.1287001287001287,5140,10,'2026-03-13 10:52:14','2026-03-13 11:02:53','💨 작은수익보호',NULL,NULL,20.689655172413794,1.0277389448900007,1.303780964797914,-1.445966514459665,NULL,0,0,10), +(530,'005930','삼성전자','SHORT_ANT_SHAKING',180300,185700,4,2.995008319467554,21600,93,'2026-03-13 09:30:30','2026-03-13 11:04:24','목표달성(퍼센트)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(531,'010170','대한광통신','SCALP_RSI_REVERSAL',7550,7570,39,0.05438410596026491,160.13400000000001,0,'2026-03-13 11:17:00','2026-03-13 11:17:53','본절사수 (순익≈+0.05%)',NULL,NULL,13.04,0.9728613879611855,0,NULL,NULL,0,0,11), +(532,'073540','에프알텍','SCALP_RSI_REVERSAL',2680,2620,111,-2.4444402985074625,-7271.721,13,'2026-03-13 11:14:22','2026-03-13 11:27:58','손절 (-2.24%)',NULL,NULL,25,1.0092610383122622,0,NULL,NULL,0,0,11), +(533,'950250','테라뷰','SCALP_RSI_REVERSAL',8730,8760,34,0.1329725085910653,394.68899999999996,2,'2026-03-13 11:36:35','2026-03-13 11:39:17','본절사수 (순익≈+0.13%)',NULL,NULL,25,0.9913982472772679,0,NULL,NULL,0,0,11), +(534,'073540','에프알텍','SHORT_ANT_SHAKING',2685,2540,1489,-5.400372439478584,-215905,26,'2026-03-13 11:13:38','2026-03-13 11:40:01','금액손실컷',NULL,NULL,57.89473684210526,1.011342155009452,0.3738317757009346,0,1.3111970568814264,0,0,11), +(535,'065440','이루온','SHORT_ANT_SHAKING',2315,2380,1727,2.8077753779697625,112255,51,'2026-03-13 11:21:49','2026-03-13 12:12:53','목표달성(퍼센트)',NULL,NULL,63.63636363636363,0.028165744101078975,0.43383947939262474,0.5210594876248371,0.6412346484077818,0,0,11), +(536,'950250','테라뷰','SCALP_RSI_REVERSAL',8650,8660,34,-0.0946184971098266,-278.273,0,'2026-03-13 12:30:02','2026-03-13 12:30:35','본절사수 (순익≈-0.09%)',NULL,NULL,22.22,0.53351614561805,0,NULL,NULL,0,0,12), +(537,'065440','이루온','SHORT_ANT_SHAKING',2350,2355,1701,0.2127659574468085,8505,3,'2026-03-13 12:30:33','2026-03-13 12:34:19','스캘핑_본절사수',NULL,NULL,60,0.11880867758358317,0.4273504273504274,0.17050298380221654,0.7394705819311971,0,0,12), +(538,'321370','센서뷰','SCALP_RSI_REVERSAL',3650,3645,82,-0.3467191780821918,-1037.7305000000001,42,'2026-03-13 12:09:09','2026-03-13 12:51:56','본절사수 (순익≈-0.35%)',NULL,NULL,7.69,0.6880219729421554,0,NULL,NULL,0,0,12), +(539,'321370','센서뷰','SHORT_ANT_SHAKING',3670,3775,1089,2.861035422343324,114345,94,'2026-03-13 11:44:25','2026-03-13 13:19:19','목표달성(퍼센트)',NULL,NULL,39.99999999999999,0.06707239066469288,0.410958904109589,-0.6765899864682002,0.020440144443687403,0,0,11), +(540,'010170','대한광통신','SHORT_ANT_SHAKING',7500,7310,533,-2.533333333333333,-101270,74,'2026-03-13 12:20:11','2026-03-13 13:34:33','전략손절',NULL,NULL,50,0.045967163856675736,0.5361930294906166,-0.43807248108323377,0.07004903432402682,0,0,12), +(541,'065440','이루온','SHORT_ANT_SHAKING',2330,2285,1716,-1.9313304721030045,-77220,36,'2026-03-13 13:23:40','2026-03-13 14:00:10','전략손절',NULL,NULL,60,0.0490139879189986,0.6479481641468683,0.042936882782310004,0.21505376344086022,0,0,13), +(542,'382900','범한퓨얼셀','SCALP_RSI_REVERSAL',34600,34600,8,-0.21,-581.28,4,'2026-03-13 14:01:03','2026-03-13 14:05:13','본절사수 (순익≈-0.21%)',NULL,NULL,14.29,7.403849093187882,0,NULL,NULL,0,0,14), +(543,'474610','RF시스템즈','SHORT_ANT_SHAKING',8910,9190,448,3.1425364758698096,125440,8,'2026-03-13 14:05:53','2026-03-13 14:14:05','목표달성(퍼센트)',NULL,NULL,42.465753424657535,0.11122275042614559,0.6795016987542469,-2.1309314586994725,1.3306038894575232,0,0,14), +(544,'474610','RF시스템즈','SCALP_RSI_REVERSAL',9090,9110,33,0.009592959295929614,28.776000000000067,1,'2026-03-13 14:17:04','2026-03-13 14:18:37','본절사수 (순익≈+0.01%)',NULL,NULL,16.67,1.0058414464534076,0,NULL,NULL,0,0,14), +(545,'336260','두산퓨얼셀','SCALP_RSI_REVERSAL',45900,46050,6,0.11616013071895429,319.9050000000001,36,'2026-03-13 13:50:22','2026-03-13 14:26:58','본절사수 (순익≈+0.12%)',NULL,NULL,20,7.534370477568741,0,NULL,NULL,0,0,13), +(546,'065440','이루온','SHORT_ANT_SHAKING',2332.867,0,1493,-100,-3482970.4310000003,30,'2026-03-13 14:00:12','2026-03-13 14:30:17','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(547,'336260','두산퓨얼셀','SHORT_ANT_SHAKING',45900,0,6,-100,-275400,30,'2026-03-13 14:00:12','2026-03-13 14:30:17','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(548,'369370','블리츠웨이엔터테인먼트','SHORT_ANT_SHAKING',1918,1819,2085,-5.1616266944734095,-206415,164,'2026-03-13 12:21:46','2026-03-13 15:06:09','전략손절',NULL,NULL,36.507936507936506,0.03489504608788267,0.1566579634464752,-0.19773129357893407,0.33479807491107405,0,0,12), +(549,'950250','테라뷰','SCALP_RSI_REVERSAL',8630,8660,34,0.13694669756662803,401.82899999999995,0,'2026-03-13 15:09:02','2026-03-13 15:09:37','본절사수 (순익≈+0.14%)',NULL,NULL,25,0.6409850254426506,0,NULL,NULL,0,0,15), +(550,'024060','흥구석유','SCALP_RSI_REVERSAL',24300,24700,12,1.432880658436214,4178.28,1,'2026-03-16 09:22:04','2026-03-16 09:23:40','트레일링스탑 고점대비-0.8%',NULL,NULL,25,0.9912647075084311,0,NULL,NULL,0,0,9), +(551,'377220','프롬바이오','SHORT_ANT_SHAKING',1758,1820,2274,3.526734926052332,140988,13,'2026-03-16 09:31:35','2026-03-16 09:44:49','목표달성(퍼센트)',NULL,NULL,7.692307692307679,0.008728899883043664,0.22805017103762829,-1.3468013468013467,4.5899396138858375,0,0,9), +(552,'380540','옵티코어','SCALP_RSI_REVERSAL',4900,4925,61,0.2992091836734694,894.33625,4,'2026-03-16 10:00:06','2026-03-16 10:04:36','트레일링스탑 고점대비-0.8%',NULL,NULL,15.38,0.9854834437086092,0,NULL,NULL,0,0,10), +(553,'950250','테라뷰','SCALP_RSI_REVERSAL',8920,9180,33,2.6991143497757846,7945.113,7,'2026-03-16 10:15:05','2026-03-16 10:22:10','익절 (2.91%)',NULL,NULL,16.67,0.9916161007920701,0,NULL,NULL,0,0,10), +(554,'950250','테라뷰','SHORT_ANT_SHAKING',8910,9170,448,2.9180695847362514,116480,5,'2026-03-16 10:16:31','2026-03-16 10:22:15','목표달성(퍼센트)',NULL,NULL,30,0.08367454265429548,0.5643340857787811,-0.779510022271715,1.738460220947161,0,0,10), +(555,'380540','옵티코어','SHORT_ANT_SHAKING',4905,0,61,-100,-299205,30,'2026-03-16 10:00:17','2026-03-16 10:30:23','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(556,'018470','조일알미늄','SHORT_ANT_SHAKING',1356,1407,2949,3.761061946902655,150399,13,'2026-03-16 10:17:28','2026-03-16 10:31:04','목표달성(퍼센트)',NULL,NULL,2.2222222222222143,0.013068645082199465,0.3700962250185048,-1.0074463425317532,0.27360792723508437,0,0,10), +(557,'377220','프롬바이오','SHORT_ANT_SHAKING',1814,1721,2204,-5.126791620727674,-204972,23,'2026-03-16 10:10:00','2026-03-16 10:33:40','금액손실컷',NULL,NULL,31.944444444444443,0.009266931562637613,0.22099447513812157,0.23206984197149108,0.5738363873256956,0,0,10), +(558,'377220','프롬바이오','SHORT_ANT_SHAKING',1785,1847,2240,3.473389355742297,138880,9,'2026-03-16 10:54:41','2026-03-16 11:03:51','목표달성(퍼센트)',NULL,NULL,52.94117647058823,0.02347121355646774,0.16835016835016833,-0.5016722408026756,0.21896580764696486,0,0,10), +(559,'018470','조일알미늄','SCALP_RSI_REVERSAL',1382,1387,217,0.15108900144717802,453.10685,1,'2026-03-16 11:19:01','2026-03-16 11:20:49','본절사수 (순익≈+0.15%)',NULL,NULL,5,0.9848637005341367,0,NULL,NULL,0,0,11), +(560,'950250','테라뷰','SCALP_RSI_REVERSAL',9070,8880,33,-2.300733186328556,-6886.3245,31,'2026-03-16 11:21:03','2026-03-16 11:52:06','손절 (-2.09%)',NULL,NULL,15.38,0.9881931782807845,0,NULL,NULL,0,0,11), +(561,'024060','흥구석유','SCALP_RSI_REVERSAL',24250,24300,12,-0.004216494845360818,-12.269999999999982,1,'2026-03-16 11:51:04','2026-03-16 11:52:18','본절사수 (순익≈-0.00%)',NULL,NULL,16.67,1.2223348060671833,0,NULL,NULL,0,0,11), +(562,'950250','테라뷰','SHORT_ANT_SHAKING',9070,0,33,-100,-299310,30,'2026-03-16 11:30:32','2026-03-16 12:00:38','잔고동기화(외부매도)',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +(563,'377220','프롬바이오','SCALP_RSI_REVERSAL',1837,1840,163,-0.047008709853021226,-140.75865,0,'2026-03-16 12:01:02','2026-03-16 12:01:51','본절사수 (순익≈-0.05%)',NULL,NULL,23.33,0.9943001690066166,0,NULL,NULL,0,0,12), +(564,'024060','흥구석유','SCALP_RSI_REVERSAL',24050,24050,12,-0.21,-606.06,1,'2026-03-16 12:10:03','2026-03-16 12:11:34','본절사수 (순익≈-0.21%)',NULL,NULL,14.29,0.9833187006145742,0,NULL,NULL,0,0,12), +(565,'950250','테라뷰','SHORT_ANT_SHAKING',9000,8790,444,-2.3333333333333335,-93240,13,'2026-03-16 12:10:24','2026-03-16 12:23:57','전략손절',NULL,NULL,66.66666666666666,1.000278164116829,0.22271714922048996,0.11123470522803114,0.07227442041474398,0,0,12), +(566,'210120','캔버스엔','SHORT_ANT_SHAKING',1717,1620,2329,-5.64938846825859,-225913,193,'2026-03-16 09:18:40','2026-03-16 12:32:02','칼손절(-5.0%)',NULL,NULL,28.859060402684563,0.0630180506490822,0.1750291715285881,0.8102395490840744,6.781927298734411,0,0,9), +(567,'377220','프롬바이오','SCALP_RSI_REVERSAL',1803,1807,166,0.011419855795895764,34.1794000000001,0,'2026-03-16 12:44:01','2026-03-16 12:44:36','본절사수 (순익≈+0.01%)',NULL,NULL,6.82,0.9828673779300678,0,NULL,NULL,0,0,12), +(568,'041910','폴라리스AI파마','SCALP_RSI_REVERSAL',9060,9290,33,2.323681015452539,6947.3415,0,'2026-03-16 12:45:02','2026-03-16 12:45:18','익절 (2.54%)',NULL,NULL,20.75,0.5758940211786407,0,NULL,NULL,0,0,12), +(569,'380540','옵티코어','SHORT_ANT_SHAKING',4895,4940,817,0.9193054136874361,36765,101,'2026-03-16 11:06:03','2026-03-16 12:47:24','스캘핑_본절사수',NULL,NULL,55.55555555555556,0.1643220914821617,0.720164609053498,-0.2242152466367713,0.699444558732771,0,0,11), +(570,'380540','옵티코어','SCALP_RSI_REVERSAL',4895,4910,61,0.09583758937691521,286.16625,2,'2026-03-16 13:05:12','2026-03-16 13:07:33','본절사수 (순익≈+0.10%)',NULL,NULL,11.11,0.9857392376451248,0,NULL,NULL,0,0,13), +(571,'377220','프롬바이오','SCALP_RSI_REVERSAL',1835,1842,163,0.17072752043596728,510.65455,4,'2026-03-16 13:03:01','2026-03-16 13:07:48','본절사수 (순익≈+0.17%)',NULL,NULL,17.65,0.998578718832535,0,NULL,NULL,0,0,13), +(572,'024060','흥구석유','SHORT_ANT_SHAKING',24450,23550,163,-3.6809815950920246,-146700,162,'2026-03-16 10:48:17','2026-03-16 13:30:57','전략손절',NULL,NULL,44.44444444444444,0.9116570674906452,0.20491803278688525,-0.5693371289141927,1.6315078457861374,0,0,10), +(573,'380540','옵티코어','SCALP_RSI_REVERSAL',4880,4900,61,0.19903688524590163,592.4929999999999,4,'2026-03-16 13:29:02','2026-03-16 13:33:15','본절사수 (순익≈+0.20%)',NULL,NULL,25,0.9901654278556492,0,NULL,NULL,0,0,13), +(574,'039980','폴라리스AI','SHORT_ANT_SHAKING',2120,2010,1886,-5.188679245283019,-207460,13,'2026-03-16 13:25:38','2026-03-16 13:39:34','금액손실컷',NULL,NULL,28.57142857142857,0.002520106617152119,0.7125890736342043,-3.1963470319634704,0.4358537047564818,0,0,13), +(575,'377220','프롬바이오','SCALP_RSI_REVERSAL',1838,1842,163,0.007203482045701877,21.58120000000008,3,'2026-03-16 13:37:04','2026-03-16 13:40:07','본절사수 (순익≈+0.01%)',NULL,NULL,6.25,0.9996438468986856,0,NULL,NULL,0,0,13), +(576,'357880','SKAI','SHORT_ANT_SHAKING',4830,4990,828,3.3126293995859215,132480,11,'2026-03-16 13:38:17','2026-03-16 13:49:19','목표달성(퍼센트)',NULL,NULL,37.2093023255814,0.10457482306894561,0.625,-0.8824132977631849,1.582627898417372,0,0,13), +(577,'357880','SKAI','SCALP_RSI_REVERSAL',4860,4985,61,2.357001028806584,6987.56525,17,'2026-03-16 13:32:04','2026-03-16 13:49:22','익절 (2.57%)',NULL,NULL,25,1.004921004921005,0,NULL,NULL,0,0,13), +(578,'187660','현대ADM','SHORT_ANT_SHAKING',17750,17750,225,0,0,10,'2026-03-16 13:41:32','2026-03-16 13:51:48','💨 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CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */; +/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */; +/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */; + +-- Dump completed on 2026-03-18 20:59:54 diff --git a/database.py b/database.py index 8875319..a30b174 100644 --- a/database.py +++ b/database.py @@ -201,6 +201,8 @@ ENV_CONFIG_KEYS = ( "USE_RANDOM_SPLIT", "FORCE_MARKET_OPEN", "FORCE_BUY_TEST", "TOTAL_DEPOSIT", # POP/LOCK·금액 손절 관련 추가 키 "ROUND_TRIP_COST_PCT", "POP_NET_PCT", "LOCK_NET_PCT", "MAX_LOSS_PER_TRADE_KRW", + # 금액손실컷 발동 최소 하락률(%): 이 하락률 미만이면 슬리피지/흔들림으로 간주하고 금액손실컷 미발동 (꼬리잡기) + "MIN_DROP_PCT_FOR_LOSS_CUT", # 한투 API 관련 키 추가 (실전/모의 계좌 분리) "KIS_APP_KEY_REAL", "KIS_APP_SECRET_REAL", "KIS_APP_KEY_MOCK", "KIS_APP_SECRET_MOCK", @@ -271,6 +273,7 @@ ENV_CONFIG_KEYS = ( "SCALP_GAP_RETRY_SEC", # 스캘핑 전용 재진입 쿨다운(초): 매도 후 같은 종목 N초 동안 재매수 차단 (기본 600=10분) # 백테스트와 동일 파라미터로 맞추려면 DB에 값 저장 후 봇/백테스트 모두 이 값 사용 + "SCALP_REQUIRE_REVERSAL_CANDLE", # true=직전 음봉+현재 양봉 필수, false=RSI 과매도만으로 진입 허용 "SCALP_COOLDOWN_SEC", # 트레일링 발동 최소 수익률(%): 고점이 매수가 대비 이 이상 올라야 트레일링 활성화 # 0.5%면 수수료(~0.21%) 뺀 나머지만 이익 → 1.5 이상 권장 @@ -278,6 +281,13 @@ ENV_CONFIG_KEYS = ( # 트레일링/본절사수 후 최소 순이익(%): 수수료+세금 위에 이 값만큼 추가 마진 확보 # 0이면 본절(수수료 이후 0원), 0.2면 최소 +0.2% 순이익 보장 "SCALP_MIN_PROFIT_PCT", + # 스캘핑 전용 방어로직 (꼬리잡기와 값 분리: HIGH_PRICE_CHASE_THRESHOLD / MIN_PRICE_TAIL 등과 별도) + "SCALP_HIGH_PRICE_CHASE_THRESHOLD", # 고점추격 방지: 당일고가 대비 비율 이하면 진입 허용 (0.96 등) + "SCALP_MAX_DAILY_CHANGE_PCT", # 급등주 필터: 당일 등락률 이 값 초과 시 진입 금지 (%) + "SCALP_MIN_PRICE", # 최소 가격(원): 이 값 미만 종목 진입 금지 + "SCALP_MAX_LOSS_PER_TRADE_KRW", # 1회 최대 손실(원): 종목당 손실 상한 + "SCALP_MIN_DROP_PCT_FOR_LOSS_CUT", # 금액손실컷 발동 최소 하락률(%): 이 미만은 흔들림으로 미발동 + "SCALP_USE_DEFENSE_FILTERS", # true/false: 스캘핑 진입 방어 필터(낙폭/고점추격/급등/최소가격) ON/OFF # ── 단타봇(kis_short_ver2) 전용 키 ─────────────────────────────────── # 켈리 공식 사용 여부 (true=켈리 적용, false=고정 비중) "USE_KELLY_FORMULA", @@ -338,6 +348,75 @@ ENV_CONFIG_KEYS = ( # USE_THEME_HEAT_FILTER : true=활성 (기본 false) # THEME_HEAT_RSI_MAX : 테마 평균 RSI 이 값 초과면 진입 차단 (기본 72) "USE_THEME_HEAT_FILTER", "THEME_HEAT_RSI_MAX", + # ── kis_trader 통합봇 전용 키 (전략 스위치 / 유니버스 / 랭킹) ──────── + # 전략 on/off + "STRATEGY_SCALP_ENABLED", "STRATEGY_SHORT_ENABLED", "STRATEGY_BREAKOUT_ENABLED", + # 중복매매 정책: block(기본)=같은 종목 동시 양봇 차단 / allow=허용 + "STRATEGY_SAME_CODE_POLICY", + # 유니버스 소스: ranking(기본) | condition + "SCALP_UNIVERSE_SOURCE", "SHORT_UNIVERSE_SOURCE", "BREAKOUT_UNIVERSE_SOURCE", + # 랭킹 정렬/크기 — sort: volume|trading_value|strength|fluct_up|fluct_down + "RANK_SCALP_SORT", "RANK_SCALP_LIMIT", + "RANK_SHORT_SORT", "RANK_SHORT_LIMIT", + "RANK_BREAKOUT_SORT", "RANK_BREAKOUT_LIMIT", + # 랭킹 폴링 주기(초) — 기본 10초 (모의 TPS 5건/s 대비 안전, 시간당 720회) + "RANKING_POLL_INTERVAL_SEC", + # 조건검색 파라미터 + "KIS_HTS_ID", "CONDITION_POLL_INTERVAL_SEC", + "CONDITION_SCALP_NAME", "CONDITION_SCALP_SEQ", + "CONDITION_SHORT_NAME", "CONDITION_SHORT_SEQ", + "CONDITION_BREAKOUT_NAME", "CONDITION_BREAKOUT_SEQ", + # 유니버스 히스토리(백테스트용) — 기본 true, 배치 INSERT 로 DB 부담 최소화 + "UNIVERSE_HISTORY_SAVE", + # WS 갭보정 파라미터 (KIS_FALLBACK 은 기본 false — 모의서버 500 폭탄 회피) + "WS_GAP_FILL_OFF_HOURS", "WS_GAP_FILL_LIMIT", "WS_TIMEFRAMES", + "WS_GAP_FILL_KIS_FALLBACK", + # 종목당 최대 매수금액 하드캡 (손절%가 작으면 포지션 사이즈 폭주 방지) + "MAX_BUY_AMOUNT_PER_STOCK", + "SCALP_MAX_BUY_AMOUNT", "SHORT_MAX_BUY_AMOUNT", "TAIL_MAX_BUY_AMOUNT", + # KIS REST 안정화 파라미터 + "KIS_MIN_INTERVAL_SEC", "KIS_REST_MAX_RETRIES", + "KIS_REST_BACKOFF_CAP_SEC", "KIS_REST_TIMEOUT_SEC", + # ── 시장 급락 서킷브레이커 (KOSPI/KOSDAQ 지수 폭락 시 신규 매수 차단) ── + # 거래소 공식 서킷브레이커는 -8% 이지만, 봇 보호용으로 더 빨리(-2%) 반응. + # PANIC 모드 시 매수만 차단, 매도는 평소처럼 동작 (포지션 정리 가능). + "MARKET_GUARD_ENABLED", # 활성화 토글 (true/false). 백테스트 못하므로 운영 후 켜기 + "MARKET_GUARD_5MIN_DROP_PCT", # 5분 내 -N% 하락 시 PANIC 진입 (기본 2.0) + "MARKET_GUARD_DAILY_DROP_PCT", # 일중 누적 -N% 하락 시 PANIC 진입 (기본 3.0) + "MARKET_GUARD_RECOVERY_PCT", # PANIC 중 5분 +N% 반등 시 자동 해제 (기본 1.0) + "MARKET_GUARD_INDEX_CODE", # 감시 지수 ("0001"=KOSPI, "1001"=KOSDAQ, "both"=둘 다) + "MARKET_GUARD_POLL_SEC", # 지수 폴링 주기 초 (기본 30) + # ── 전략별 후보 하드캡 (WS 구독 41 한도 보호 + 매수 체크 회전율 보장) ─ + # cond/ranking 매니저가 폭주해도 본 전략은 상위 N개만 처리. 0=무제한. + # 권장: 세 전략 합산 ≤ 30 (영구구독 + 보유 여유 11종목 확보). + "SCALP_CAND_LIMIT", "SHORT_CAND_LIMIT", "BREAKOUT_CAND_LIMIT", + # ── 전략별 매매 시간대 (HHMM 정수, 930=09:30, 1500=15:00) ────────── + # 미설정 시 글로벌 TIME_START/TIME_END → 기본 900~1530. + # 예: SCALP는 변동성 큰 9시 직후 회피하고 09:30~14:30만 → SCALP_TIME_START=930, SCALP_TIME_END=1430 + "SCALP_TIME_START", "SCALP_TIME_END", + "SHORT_TIME_START", "SHORT_TIME_END", + "BREAKOUT_TIME_START", "BREAKOUT_TIME_END", + # ETN/ETF/스팩/우선주 자동 제외 토글 (기본 true) — 후보 매니저 결과를 한 번 더 거른다. + "EXCLUDE_NON_STOCK", + # ── SCALP 진입 모드 토글 (reversal | momentum) ─────────────────── + # reversal : 기존 RSI 과매도 V자 반전(원본 로직). + # momentum : 키움 'scalp' 조건검색(갭상승+신고가 돌파+거래량 폭증)으로 + # 걸러진 종목군을 따라붙기. 봇은 모멘텀 살아있음/끝물 아님/ + # 양봉 마무리/거래량 평균 초과만 검증. + "SCALP_MODE", + # SCALP momentum 모드 전용 파라미터 + # mom_rsi_min ≤ RSI3 ≤ mom_rsi_max 만 진입 (모멘텀 살아있고 과열은 아님). + "SCALP_MOM_RSI_MIN", "SCALP_MOM_RSI_MAX", + # 직전 N봉 평균 거래량 × 배수 이상이어야 진입. + "SCALP_MOM_VOL_MULT", "SCALP_MOM_VOL_WIN", + # momentum 모드 진입 마감 시각(HHMM, 기본 1430). 종가 후폭풍 회피용. + "SCALP_MOM_TIME_END_HM", + # SCALP 일일 진입 횟수 (momentum은 회전 빠르므로 5 정도 권장) + "SCALP_MAX_DAILY", + # ── 전략별 동시 보유 종목 한도 (기존 글로벌 MAX_STOCKS 분리) ───────── + # 미설정(0/빈값) 시 글로벌 MAX_STOCKS 로 폴백 → 구버전 호환. + # 권장: 합계 ≤ MAX_STOCKS (계좌 슬롯 분산), 예: 3+2+2=7. + "SCALP_MAX_STOCKS", "SHORT_MAX_STOCKS", "BREAKOUT_MAX_STOCKS", ) @@ -345,7 +424,14 @@ class TradeDB: """ 트레이딩 봇용 MariaDB 데이터베이스 관리 클래스. 기존 SQLite 인터페이스와 100% 호환 (db_path 인수는 무시됨). + + ※ 호출자가 매번 ``TradeDB()`` → ``db.close()`` 패턴으로 쓰므로, + DDL(`CREATE TABLE IF NOT EXISTS`) 과 INFO 로그는 **프로세스당 1회만** 실행한다. + (내부 클래스 변수 ``_tables_created`` 가드) """ + _tables_created = False # 프로세스 내 테이블 생성 1회만 + _tables_lock = threading.Lock() # 멀티스레드 race 방지 + def __init__(self, db_path="quant_bot.db"): """ Args: @@ -353,8 +439,21 @@ class TradeDB: """ self.db_path = db_path # 호환용 보존 self.conn = _MariaDBConn() - self._create_tables() - logger.info("✅ TradeDB 초기화 완료: MariaDB %s:%s/%s", _DB_HOST, _DB_PORT, _DB_NAME) + # 테이블 생성은 첫 인스턴스에서만 — 매 호출마다 21개 DDL 폭탄 방지 + with TradeDB._tables_lock: + if not TradeDB._tables_created: + self._create_tables() + logger.info( + "✅ TradeDB 초기화 완료: MariaDB %s:%s/%s", + _DB_HOST, _DB_PORT, _DB_NAME, + ) + TradeDB._tables_created = True + else: + # 이후 인스턴스는 조용히 — 같은 정보 매초 찍어 로그 오염 방지 + logger.debug( + "TradeDB 인스턴스 재생성 (테이블 스킵): %s:%s/%s", + _DB_HOST, _DB_PORT, _DB_NAME, + ) def _create_tables(self): """DB 테이블 생성 (없을 경우)""" @@ -469,6 +568,24 @@ class TradeDB: ) CHARACTER SET utf8mb4 """) + # 6-2. 매수 후보군 이력 (5분마다 쌓아서 백테스트 시 '실제 그 시각 유니버스' 사용 가능) + self.conn.execute(""" + CREATE TABLE IF NOT EXISTS target_candidates_history ( + id INT NOT NULL AUTO_INCREMENT PRIMARY KEY, + slot_key VARCHAR(12) NOT NULL, + scan_time VARCHAR(30) NOT NULL, + code VARCHAR(20) NOT NULL, + name VARCHAR(100) NOT NULL DEFAULT '', + score DOUBLE NOT NULL DEFAULT 0, + price DOUBLE NOT NULL DEFAULT 0, + market CHAR(1) DEFAULT 'Q', + sector VARCHAR(100), + theme VARCHAR(100), + INDEX idx_slot (slot_key), + INDEX idx_scan (scan_time) + ) CHARACTER SET utf8mb4 + """) + # 7. 종목 메타데이터 (테마·섹터·시장구분) — 스캐너가 채움, 조인 분석 용 # market: 'K'=KOSPI, 'Q'=KOSDAQ, 'E'=ETF/기타 # sector: 업종명 (KIS bstp_kor_isnm, 예: '반도체') @@ -624,6 +741,27 @@ class TradeDB: logger.info(f"📌 target_candidates.{col} 컬럼 추가") except Exception as e: logger.debug(f"migrate target_candidates theme cols: {e}") + # ── target_candidates_history (후보 이력, 백테스트용) ────────────────── + try: + self.conn.execute(""" + CREATE TABLE IF NOT EXISTS target_candidates_history ( + id INT NOT NULL AUTO_INCREMENT PRIMARY KEY, + slot_key VARCHAR(12) NOT NULL, + scan_time VARCHAR(30) NOT NULL, + code VARCHAR(20) NOT NULL, + name VARCHAR(100) NOT NULL DEFAULT '', + score DOUBLE NOT NULL DEFAULT 0, + price DOUBLE NOT NULL DEFAULT 0, + market CHAR(1) DEFAULT 'Q', + sector VARCHAR(100), + theme VARCHAR(100), + INDEX idx_slot (slot_key), + INDEX idx_scan (scan_time) + ) CHARACTER SET utf8mb4 + """) + logger.info("📌 target_candidates_history 테이블 확인/생성") + except Exception as e: + logger.warning(f"migrate target_candidates_history 실패(이력 미적재 가능): {e}") def _migrate_env_config_to_columns(self): """env_config가 예전 JSON 컬럼(snapshot_json)이면 컬럼 스키마로 이전""" @@ -1227,6 +1365,31 @@ class TradeDB: """ try: scan_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") + # 5분 슬롯 키 (백테스트 유니버스 이력 조회용): 2026-03-18 15:55:21 → 202603181555 + _now = datetime.datetime.now() + slot_min = (_now.hour * 60 + _now.minute) // 5 * 5 + slot_key = _now.strftime("%Y%m%d") + "%02d%02d" % (slot_min // 60, slot_min % 60) + + # 이력 테이블 없으면 생성 시도 (마이그레이션 누락/실패 시 자동 보정) + try: + self.conn.execute(""" + CREATE TABLE IF NOT EXISTS target_candidates_history ( + id INT NOT NULL AUTO_INCREMENT PRIMARY KEY, + slot_key VARCHAR(12) NOT NULL, + scan_time VARCHAR(30) NOT NULL, + code VARCHAR(20) NOT NULL, + name VARCHAR(100) NOT NULL DEFAULT '', + score DOUBLE NOT NULL DEFAULT 0, + price DOUBLE NOT NULL DEFAULT 0, + market CHAR(1) DEFAULT 'Q', + sector VARCHAR(100), + theme VARCHAR(100), + INDEX idx_slot (slot_key), + INDEX idx_scan (scan_time) + ) CHARACTER SET utf8mb4 + """) + except Exception as e: + logger.debug("target_candidates_history CREATE 확인: %s", e) # stock_meta 캐시: 테마/섹터가 없는 항목을 DB에서 보완 meta_cache: Dict[str, Dict] = {} @@ -1271,8 +1434,14 @@ class TradeDB: sector, theme, )) + # [DEPRECATED] 구봇(kiwoom_universe_scanner 등) 의 5분 슬롯 이력 적재는 제거됨. + # 신봇(kis_trader/**) 은 RankingManager/ConditionSearchManager 가 + # ``insert_condition_universe_snapshot()`` 으로 초단위 event_time 스냅샷을 + # 기록한다. 구봇이 우발적으로 실행되더라도 이력 혼선을 일으키지 않도록 + # 이 경로에서의 history 적재는 의도적으로 하지 않는다. + # (과거 코드: INSERT INTO target_candidates_history ...) - logger.info(f"✅ 매수 후보군 DB 저장: {len(candidates)}개") + logger.info(f"✅ 매수 후보군 DB 저장: {len(candidates)}개 (slot_key={slot_key}, 이력 적재 안함)") return True except Exception as e: @@ -1383,6 +1552,41 @@ class TradeDB: logger.error(f"❌ 후보군 조회 실패: {e}") return [] + def get_universe_history_for_backtest( + self, start_ymd: str, end_ymd: str + ) -> Dict[str, List[str]]: + """ + target_candidates_history에서 기간 내 5분별 유니버스 조회. + 백테스트 시 '실제 그 시각에 봇이 보던 후보'로 검사할 때 사용. + + Args: + start_ymd: 시작일 YYYYMMDD + end_ymd: 종료일 YYYYMMDD + + Returns: + slot_key(YYYYMMDDHHMM) → 해당 슬롯 후보 코드 리스트 (점수 순 유지) + """ + try: + start_key = start_ymd + "0000" + end_key = end_ymd + "2359" + rows = self.conn.execute(""" + SELECT slot_key, code + FROM target_candidates_history + WHERE slot_key >= %s AND slot_key <= %s + ORDER BY slot_key, score DESC + """, (start_key, end_key)).fetchall() + out: Dict[str, List[str]] = {} + for r in rows: + # 백테스트 엔진 _slot_key()는 항상 str → 조회 키도 str 통일 (DB 드라이버에 따라 int 올 수 있음) + sk = str(r["slot_key"]) + if sk not in out: + out[sk] = [] + out[sk].append(r["code"]) + return out + except Exception as e: + logger.debug(f"후보 이력 조회 실패: {e}") + return {} + # ------------------------------------------------------------------ # stock_meta 테마/섹터 메타데이터 헬퍼 # ------------------------------------------------------------------ @@ -1876,7 +2080,7 @@ class TradeDB: logger.error("cleanup_old_ws_candles 실패: %s", e) def close(self): - """DB 연결 종료""" + """DB 연결 종료 (호출자가 매번 close 하므로 로그는 DEBUG 로 강등).""" if self.conn: self.conn.close() - logger.info("🔒 DB 연결 종료") + logger.debug("🔒 DB 연결 종료") diff --git a/diag_backtest_4_30.py b/diag_backtest_4_30.py new file mode 100644 index 0000000..f1d1849 --- /dev/null +++ b/diag_backtest_4_30.py @@ -0,0 +1,198 @@ +""" +4/30 SHORT/SCALP 백테스트 진단 스크립트. + +목적: + 1) SHORT 0건의 진짜 원인 — 어느 임계치에서 거래가 발생하는지 sweep + 2) SCALP -90만 trades 의 종목·시각·매매 상세 +""" +from __future__ import annotations +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).resolve().parent)) + +from database import TradeDB +import tail_engine as te +import scalping_engine as se + + +START = "202604300830" +END = "202604301600" + + +def _load_universe(db, sid: str) -> dict: + """target_candidates_history → {slot_key: [codes]}.""" + rows = db.conn.execute( + "SELECT slot_key, code FROM target_candidates_history " + "WHERE strategy_id=%s AND DATE(event_time)='2026-04-30'", + (sid,), + ).fetchall() + history: dict = {} + for r in rows: + history.setdefault(r["slot_key"], []).append(r["code"]) + return history + + +def _load_candles(db, codes, tf: int, min_n: int = 19) -> dict: + out = {} + for code in codes: + rows = db.conn.execute( + "SELECT candle_time, open, high, low, close, volume FROM ws_candles " + "WHERE timeframe=%s AND code=%s AND candle_time>=%s AND candle_time<=%s " + "AND is_confirmed=1 ORDER BY candle_time", + (tf, code, START, END), + ).fetchall() + if len(rows) >= min_n: + out[code] = [dict(r) for r in rows] + return out + + +def _trade_pnl(t): + """엔진별 trade dict 차이를 흡수해 pnl 추출.""" + if t.get("pnl") is not None: + return float(t["pnl"]) + try: + entry = float(t.get("entry") or t.get("buy_price") or 0) + exit_ = float(t.get("exit") or t.get("sell_price") or 0) + qty = int(t.get("qty") or 1) + return (exit_ - entry) * qty + except Exception: + return 0.0 + + +def _summary(trades): + if not trades: + return "trades=0" + n = len(trades) + pnls = [_trade_pnl(t) for t in trades] + win = sum(1 for p in pnls if p > 0) + return (f"trades={n} pnl합={sum(pnls):,.0f}원 " + f"승률={win}/{n}={win/n*100:.0f}% avg={sum(pnls)/n:,.0f}원") + + +def diag_short(db): + print("\n" + "=" * 70) + print("SHORT (꼬리잡기) 4/30 진단") + print("=" * 70) + + history = _load_universe(db, "SHORT") + codes = {c for lst in history.values() for c in lst} + print(f"universe: {len(codes)}종목, {len(history)}슬롯") + + candles = _load_candles(db, codes, tf=3, min_n=19) + print(f"3분봉 적재: {len(candles)}종목 (RSI 계산 가능)") + + base = te.get_tail_defaults_from_db() + base["scan_interval_min"] = 1 # SHORT slot 1분 단위 + + print() + print("--- 현재 DB 임계치 ---") + print(f" min_drop_rate = {base['min_drop_rate']*100:.2f}%") + print(f" min_recovery_ratio = {base['min_recovery_ratio']*100:.0f}%") + print(f" tail_ratio_min = {base['tail_ratio_min']:.2f}") + print(f" tail_pct_min = {base['tail_pct_min']*100:.2f}%") + print(f" max_daily_change = {base['max_daily_change']:.1f}%") + print(f" ma20_max_above = {base['ma20_max_above']:.1f}%") + print(f" rsi_threshold = {base['rsi_threshold']:.1f}") + print(f" max_rec_3m = {base['max_rec_3m']*100:.0f}%") + print(f" high_chase_thr = {base['high_chase_thr']:.2f}") + + print() + print("--- 현재 임계치로 백테스트 ---") + trades = te.run_tail_backtest(candles, dict(base), universe_by_slot=history) + print(f" → {_summary(trades)}") + + print() + print("--- 임계치 단계적 완화 sweep ---") + sweeps = [ + ("baseline (현재)", {}), + ("MIN_DROP 1.5% / REC 25%", {"min_drop_rate": 0.015, "min_recovery_ratio": 0.25}), + ("MIN_DROP 1.0% / REC 20%", {"min_drop_rate": 0.010, "min_recovery_ratio": 0.20}), + ("MIN_DROP 0.5% / REC 10%", {"min_drop_rate": 0.005, "min_recovery_ratio": 0.10}), + ("MIN_DROP 0% / REC 0%", {"min_drop_rate": 0.0, "min_recovery_ratio": 0.0}), + ("MA20 ∞ / RSI ∞ + 위 같음", { + "min_drop_rate": 0.0, "min_recovery_ratio": 0.0, + "ma20_max_above": 999.0, "rsi_threshold": 999.0, + "max_daily_change": 999.0, "max_rec_3m": 1.0, + "high_chase_thr": 999.0, + "tail_ratio_min": 0.0, "tail_pct_min": 0.0, + }), + ] + for name, ov in sweeps: + p = dict(base) + p.update(ov) + try: + t = te.run_tail_backtest(candles, p, universe_by_slot=history) + print(f" {name:35s} → {_summary(t)}") + except Exception as e: + print(f" {name:35s} → 예외: {e}") + + +def diag_scalp(db): + print("\n" + "=" * 70) + print("SCALP 4/30 진단") + print("=" * 70) + + history = _load_universe(db, "SCALP") + codes = {c for lst in history.values() for c in lst} + print(f"universe: {len(codes)}종목, {len(history)}슬롯") + + # SCALP universe slot 의 분 단위 분포 (5분 정렬 매칭률 보기) + from collections import Counter + mins = Counter(int(k[10:12]) for k in history.keys() if len(k) >= 12) + aligned5 = sum(c for m, c in mins.items() if m % 5 == 0) + total = sum(mins.values()) + print(f" slot 5분 정렬 매칭률 (backtest_web 의 scan_interval_min=5 와 매칭): " + f"{aligned5}/{total} = {aligned5/total*100:.0f}%" if total else "") + + candles = _load_candles(db, codes, tf=1, min_n=10) + print(f"1분봉 적재: {len(candles)}종목") + + base = se.get_scalping_defaults_from_db() + + # backtest_web SCALP 와 동일하게 scan_interval_min=5 로 1차 시도 + base["scan_interval_min"] = 5 + print() + print("--- backtest_web 과 동일 (scan_interval_min=5) ---") + trades5 = se.run_scalping_backtest(candles, dict(base), universe_by_slot=history) + print(f" → {_summary(trades5)}") + + # 1분 슬롯과 1:1 매칭 (universe history 1분 키와 일치) + base["scan_interval_min"] = 1 + print() + print("--- 보정: scan_interval_min=1 (universe slot 키와 일치) ---") + trades1 = se.run_scalping_backtest(candles, dict(base), universe_by_slot=history) + print(f" → {_summary(trades1)}") + + trades = trades1 if trades1 else trades5 + if trades: + print() + print(f"--- trades 상세 (총 {len(trades)}건) ---") + for t in trades: + t["pnl"] = _trade_pnl(t) + trades.sort(key=lambda x: x["pnl"]) + print(" ▼ 손실 큰 5건:") + for t in trades[:5]: + print(f" {t.get('code')} {t.get('buy_time')}→{t.get('sell_time')} " + f"매수 {t.get('buy_price'):.0f} → 매도 {t.get('sell_price'):.0f} " + f"×{t.get('qty')} pnl={t['pnl']:,.0f} ({t.get('sell_reason')})") + print(" ▲ 수익 큰 5건:") + for t in trades[-5:][::-1]: + print(f" {t.get('code')} {t.get('buy_time')}→{t.get('sell_time')} " + f"매수 {t.get('buy_price'):.0f} → 매도 {t.get('sell_price'):.0f} " + f"×{t.get('qty')} pnl={t['pnl']:,.0f} ({t.get('sell_reason')})") + cnt = Counter(t.get("sell_reason") for t in trades) + print(f" sell_reason 분포: {dict(cnt)}") + + +def main(): + db = TradeDB() + try: + diag_short(db) + diag_scalp(db) + finally: + db.close() + + +if __name__ == "__main__": + main() diff --git a/docs/SCALP_BACKTEST_VS_LIVE.md b/docs/SCALP_BACKTEST_VS_LIVE.md new file mode 100644 index 0000000..27c9ba0 --- /dev/null +++ b/docs/SCALP_BACKTEST_VS_LIVE.md @@ -0,0 +1,195 @@ +# 스캘핑 백테스트 vs 실매매: 같은 날 백테 5건 / 실시간 0건 원인 + +--- + +## 데이터 소스: ws_candles + +- **스캘핑 백테스트 / 파람서치**는 모두 **ws_candles** 테이블에서 **timeframe=1 (1분봉)** 만 조회해서 씁니다. +- 예: `SELECT ... FROM ws_candles WHERE timeframe=1 AND code=%s AND candle_time >= ? AND candle_time <= ? AND is_confirmed=1` +- 따라서 **대시보드에 나온 1건(369370 12:53 익절)** 같은 결과는, 이 1분봉 SELECT 결과를 엔진에 넣어 돌린 백테스트 결과가 맞습니다. (같은 테이블, 1분봉만 사용.) + +**ws_candles 컬럼 중 숫자 의미** + +| 컬럼 | 의미 | +|------|------| +| **timeframe** | 봉 간격. **1** = 1분봉(스캘핑용), **3** = 3분봉(꼬리잡기용). | +| **rsi_2, rsi_3, rsi_5** | 기간 2·3·5로 **미리 계산해 둔 RSI** (대시/봇용). 스캘핑 백테스트는 이 컬럼을 쓰지 않고, **close만** 가져와서 엔진에서 `compute_rsi_series(closes, rsi_period)` 로 다시 계산합니다. | +| **RSI 기간 3** (UI) | RSI를 **몇 개 봉**으로 계산할지. 3이면 직전 3봉 종가로 RSI(3) 계산. | + +- 보여주신 샘플 행(`369370, 3, 202603171430, ...`)은 **timeframe=3** 이라서 **3분봉** 데이터입니다. 스캘핑 백테스트에는 **timeframe=1** 인 1분봉만 사용됩니다. + +--- + +## 가상 거래 내역(최근 200건)이 나오는 경로 + +대시보드의 **가상 거래 내역**은 DB 테이블을 직접 조회한 것이 아니라, 아래처럼 **같은 1분봉으로 백테스트를 돌린 결과**를 그대로 보여줍니다. + +| 단계 | 파일 | 내용 | +|------|------|------| +| 1. 캔들 로드 | **backtest_web.py** (스캘핑 API) | 테이블 **ws_candles** 에서 `timeframe=1`, `is_confirmed=1`, 기간 내 행 SELECT → `codes_candles` | +| 2. 백테스트 실행 | **scalping_engine.run_scalping_backtest()** | `codes_candles`와 params로 봉 단위 시뮬레이션 → **all_trades** 리스트 생성 (각 건에 `rsi_entry` 포함) | +| 3. 응답·표시 | **backtest_web.py** | `all_virtual_trades = se.run_scalping_backtest(...)` 반환값을 `trades: all_virtual_trades[-200:]` 로 프론트에 전달 → "가상 거래 내역 (최근 200건)" 테이블로 렌더링 | + +**진입RSI** 값의 출처: + +- **scalping_engine.py** `run_scalping_backtest()` 안에서, **매수 신호가 난 봉(신호 봉)** 의 RSI를 `position["rsi"]`에 넣고, 청산 시 `all_trades.append(..., "rsi_entry": round(position["rsi"], 1))` 로 기록합니다. +- 즉 **진입RSI**는 “진입한 시각의 봉”이 아니라 **“신호가 나서 다음 봉 시가에 매수하기로 한, 그 직전(신호) 봉”** 의 RSI입니다. + 예: 12:53 진입 → 신호 봉은 12:52 봉 → 표시되는 진입RSI는 12:52 봉 기준 RSI(3) 값(예: 14.1). + RSI 과매도 조건이 17 이하이면 14.1은 조건을 만족합니다. + +--- + +## 풀백 시 동작 (유니버스) + +1. **캔들** + 항상 **ws_candles, timeframe=1, is_confirmed=1** 인 1분봉만 조회해서 씀. (변경 없음.) +2. **유니버스(어떤 종목을 매수 검사할지)** + - 먼저 **build_universe_simulation()** 으로 1분봉만으로 5분마다 후보 슬롯을 만들어 둠. + - 그다음 **target_candidates_history** 를 조회해서, 해당 기간에 저장된 이력이 있으면 **그 슬롯만** 이력으로 덮음. + - 최종적으로 나온 `universe_by_slot` 으로 백테스트 실행 (해당 슬롯에 있는 종목만 매수 신호 검사). + +즉, **풀백**은 “캔들 소스”가 아니라 **“유니버스(후보 종목 목록)”** 에만 적용됩니다. +캔들은 항상 ws_candles 1분봉, 유니버스만 이력 있으면 이력 → 없으면 시뮬레이션입니다. + +--- + +## 현상 + +- **날짜**: 2026-03-18 +- **조건**: RSI(3) 과매도 17, 손절 0.8%, 익절 2.5% 등 동일 +- **백테스트(backtest_web)**: 거래 **5건** (076610, 263750, 412350, 369370, 041910) +- **실시간 봇(kis_scalping_ver2)**: 거래 **0건** (로그상 RSI 17 이하인 종목 없음) + +--- + +## 원인 요약 + +| 구분 | 백테스트 (backtest_web) | 실시간 봇 (kis_scalping_ver2) | +|------|-------------------------|-------------------------------| +| **검사 대상** | 그날 `ws_candles` 1분봉이 있는 **전체 종목**(예: 38개) | **target_candidates** 테이블에 있는 종목만 (예: 5~10개) | +| **검사 시점** | 봉 단위로 **모든 봉**을 순회하며 신호 검사 | 매 루프마다 **마지막 1개 봉**만 검사 (`check_buy_signal_live`) | +| **데이터** | 기간 내 `is_confirmed=1` 1분봉 전부 | 실시간 확정봉 + 캔들 수집 타이밍에 따른 1봉 지연 가능 | + +백테스트에서 신호가 났던 5종목이 **당일 실시간 봇의 후보 리스트에 없었을 가능성**이 가장 큽니다. + +--- + +## 1. 유니버스(검사 대상) 차이 ⭐ 핵심 + +### 백테스트 + +- `backtest_web` 스캘핑 API는 기간 내 **1분봉이 하나라도 있는 모든 종목**을 사용합니다. + +```sql +SELECT DISTINCT code FROM ws_candles +WHERE timeframe=1 AND candle_time >= ? AND candle_time <= ? +``` + +- 따라서 그날 1분봉이 쌓인 **38개 종목 전부**에 대해, 봉 단위로 신호를 검사합니다. +- 076610, 263750, 412350, 369370, 041910는 이 38개 안에 포함되어 있어서 백테스트에서만 신호가 집계됩니다. + +### 실시간 봇 + +- 매수 체크 시 **후보**는 `target_candidates` 테이블에서만 가져옵니다. + +```python +candidates = self.db.get_target_candidates() +``` + +- 이 테이블은 키움 스캐너(또는 별도 스크립트)가 갱신하는 **제한된 종목 리스트**입니다. +- 로그에 "후보 5개 순회", "후보 8개 순회"처럼 나오므로, **당일 특정 시점에 5~10개 정도만** 검사합니다. +- 따라서 **백테스트 38개 ⊃ 실시간 후보 5~10개** 이고, 위 5종목이 그 시점의 후보에 없으면 실시간에서는 한 번도 매수 검사가 되지 않습니다. + +→ **같은 날·같은 조건이어도 “누구를 검사하느냐”가 다르기 때문에, 백테스트 5건 / 실시간 0건이 나올 수 있습니다.** + +--- + +## 2. 검사 방식 차이 (봉 단위 vs 마지막 1봉) + +### 백테스트 (`run_scalping_backtest`) + +- 종목별로 **모든 봉 인덱스 `i`**를 순회합니다. +- 봉 `i`에서 RSI≤17, 이전 봉 음봉 → 현재 봉 양봉, 낙폭 등 조건을 만족하면 **다음 봉(i+1) 시가**에 진입으로 기록합니다. +- 따라서 09:13, 10:03, 11:48, 12:53, 12:57 등 **각 봉이 닫힌 시점을 빠짐없이** 검사합니다. + +### 실시간 (`check_buy_signal_live`) + +- 넘겨받은 `candles`의 **마지막 1개 봉만** 신호 대상입니다. + +```python +i = len(candles) - 1 +c = candles[i] +``` + +- 스캔 주기(예: 30초/1분)에 따라 “방금 확정된 봉”이 1개만 들어오므로, **그 봉이 닫힌 직후 한 번만** 검사합니다. +- 같은 종목이라도: + - 그 종목이 **후보에 없으면** 아예 검사하지 않고, + - 후보에 있어도 **확정봉 반영/수집 타이밍**이 1봉 늦으면 RSI 17 이하인 순간을 놓칠 수 있습니다. + +--- + +## 3. 데이터·타이밍 + +- **백테스트**: 기간 지정 후 한 번 조회하므로, 해당 기간의 **확정된 1분봉 전체**를 사용합니다. (같은 DB라도 나중에 갱신된 값으로 돌릴 수 있음) +- **실시간**: WebSocket/갭보정으로 쌓는 1분봉 + `confirmed_only=True` 등으로 “확정봉만” 사용합니다. 봉이 확정되는 시점이 1분 늦거나, 그때 해당 종목이 후보에 없으면 그 봉은 실시간에서 영원히 검사되지 않습니다. + +--- + +## 정리 및 권장 + +- **같은 날 백테 5건 / 실시간 0건**의 주된 이유는 + **“백테스트는 그날 1분봉 있는 38종목 전부를 봉 단위로 검사하고, 실시간은 target_candidates에 있는 소수 종목만 마지막 1봉 기준으로 검사한다”**는 차이 때문입니다. +- 백테스트 결과를 실매매에 가깝게 맞추려면: + 1. **스캘핑 백테스트를 “실제 후보와 동일한 유니버스”로 제한** + 예: 당일 `target_candidates`에 올라왔던 종목 리스트를 저장해 두고, 백테스트 시 해당 종목만 사용하거나, + 백테스트 옵션으로 “이 날 이 종목들만” 필터링하는 기능을 두는 방법. + 2. **실매매 후보 수 확대** + 스캘핑 후보를 더 많이 두면, 백테스트에 나온 종목과 겹칠 확률이 커집니다. (API/부하 trade-off는 별도 검토) + 3. **문서화** + “스캘핑 백테스트는 그날 1분봉 있는 전 종목 기준, 실매매는 target_candidates 기준”임을 README나 파라미터 설명에 명시해 두면, 같은 날 차이가 나는 이유를 추후에도 쉽게 이해할 수 있습니다. + +--- + +## 참고 코드 위치 + +- 백테스트: `backtest_web.py` 스캘핑 API — `SELECT DISTINCT code FROM ws_candles WHERE timeframe=1 ...` → `run_scalping_backtest(codes_candles, params)` +- 실시간 후보: `kis_scalping_ver2.py` — `candidates = self.db.get_target_candidates()` 후 순회 +- 실시간 신호: `scalping_engine.check_buy_signal_live(candles, params, state)` — `i = len(candles) - 1` (마지막 1봉만 검사) + +--- + +## 유니버스 시뮬레이션 (2026년 반영) + +**백테스트를 실매매와 동일하게 맞추기 위해** 아래가 적용되었습니다. + +- **scalping_engine** + - `build_universe_simulation(codes_candles, top_n=20, min_score=4.0, scan_interval_min=5)` + 과거 1분봉만으로 5분마다 ‘강도(낙폭·회복률) 순 상위 N종목’ 유니버스를 계산. + - `run_scalping_backtest(..., universe_by_slot=universe_by_slot)` + `universe_by_slot`이 있으면 **해당 슬롯의 후보 종목에서만** 매수 신호 검사. +- **backtest_scalping/param_search.py** + 유니버스 **풀백**: 먼저 `get_universe_history_for_backtest(start_ymd, end_ymd)`로 저장된 이력 조회 → 있으면 해당 슬롯은 이력으로 덮고, 없거나 조회 실패 시 `build_universe_simulation` 결과만 사용. + `UPDATE_UNIVERSE_TOP_N`, `UPDATE_UNIVERSE_MIN_SCORE` 환경변수로 시뮬레이션 시 상위 N·최소 점수 설정. +- **backtest_web.py** 스캘핑 API + 동일 **풀백**: 시뮬레이션으로 `universe_by_slot` 생성 후, `get_universe_history_for_backtest`로 이력 조회해 있으면 `universe_by_slot.update(history)` 적용 후 `run_scalping_backtest(..., universe_by_slot=...)` 호출. + 쿼리 파라미터 `universe_top_n`, `universe_min_score` 또는 env로 조정 가능. + +이제 백테스트는 **저장된 이력이 있으면 그걸 쓰고, 없으면 1분봉 시뮬레이션**으로 5분마다 후보를 갈아 끼우는 실매매와 동일한 유니버스로 동작합니다. + +--- + +## 후보 이력 적재 (target_candidates_history) + +`target_candidates`는 매 5분마다 **DELETE 후 INSERT**라서 과거 시점의 후보 목록이 남지 않습니다. +그래서 백테스트는 위처럼 **1분봉으로 유니버스를 시뮬레이션**해 사용합니다 (이력 없이도 가능). + +동시에 **“실제 그 시각에 봇이 보던 후보”를 남겨 두고 싶다면** 이력을 쌓을 수 있습니다. + +- **target_candidates_history** 테이블 + 스캐너가 `update_target_candidates()`를 호출할 때마다, 같은 시각의 `slot_key`(5분 단위)와 함께 **INSERT**로 적재됩니다. (기존 target_candidates는 계속 DELETE 후 INSERT로 현재만 유지.) +- **쌓는 주기** + 스캐너가 5분마다 돌 때마다 자동으로 한 슬롯분이 쌓입니다. 별도 설정 없이 **계속 쌓이면** 나중에 그 기간 백테스트 가능. +- **조회** + `TradeDB.get_universe_history_for_backtest(start_ymd, end_ymd)` + → `{ slot_key: [code, ...] }` 형태로, 해당 기간의 5분별 “실제 후보” 목록을 반환합니다. + (추후 백테스트에서 “저장된 유니버스 우선 사용” 옵션을 넣을 때 이 메서드를 쓰면 됩니다.) diff --git a/kis_scalping_ver1.py b/kis_scalping_ver1.py index fc94415..5c5ad68 100644 --- a/kis_scalping_ver1.py +++ b/kis_scalping_ver1.py @@ -1277,7 +1277,7 @@ class ScalpingBotV1: self.ws_cache.subscribe(code) rsi_val = signal["entry_features"].get("rsi", 0) - msg = (f"🛒 **[스캘핑 매수]** {name}({code})\n" + msg = (f"🔷 **[스캘핑 매수]** {name}({code})\n" f"매수가: {price:,.0f}원 × {qty}주 = {price*qty:,.0f}원\n" f"손절: {stop_price:,.0f}원(-{abs(self.scalp_stop_loss_pct)*100:.1f}%) | " f"익절: {target_price:,.0f}원(+{self.scalp_take_profit_pct*100:.1f}%)\n" @@ -1456,9 +1456,9 @@ class ScalpingBotV1: elif "잔고" in msg1 or "보유" in msg1 or "APBK3020" in msg_cd: logger.warning("⚠️ [유령잔고 정리] %s %s: 브로커 잔고 없음 → 로컬 기록 강제 삭제", name, code) - self.db.close_trade(code=code, sell_price=0, - sell_reason="잔고없음(강제정리)", - strategy="SCALP_RSI_REVERSAL") + # 0원 강제정리를 trade_history에 남기면 손익 통계가 왜곡됨. + # 브로커에 실제 포지션이 없는 동기화 이슈 케이스는 active_trades만 정리. + self.db.delete_active_trade(code=code, strategy="SCALP_RSI_REVERSAL") self.holdings.pop(code, None) return diff --git a/kis_scalping_ver2.py b/kis_scalping_ver2.py index eb9a041..4405628 100644 --- a/kis_scalping_ver2.py +++ b/kis_scalping_ver2.py @@ -812,9 +812,9 @@ class ScalpingBotV2: self.atr_up_mult = get_env_float("SCALP_ATR_UP_MULT", 1.5) self.atr_down_mult = get_env_float("SCALP_ATR_DOWN_MULT", 0.8) - # 피뢰침/급등 필터 - self.high_chase_thr = get_env_float("HIGH_PRICE_CHASE_THRESHOLD", 0.96) - self.max_daily_chg = get_env_float("MAX_DAILY_CHANGE_PCT", 20.0) + # 피뢰침/급등 필터 (스캘핑 전용 키 우선, 없으면 꼬리잡기 공용 키 fallback) + self.high_chase_thr = get_env_float("SCALP_HIGH_PRICE_CHASE_THRESHOLD", 0) or get_env_float("HIGH_PRICE_CHASE_THRESHOLD", 0.96) + self.max_daily_chg = get_env_float("SCALP_MAX_DAILY_CHANGE_PCT", 0) or get_env_float("MAX_DAILY_CHANGE_PCT", 20.0) # 거래량 배율 필터 self.vol_multiplier = get_env_float("VOLUME_AVG_MULTIPLIER", 1.5) @@ -823,8 +823,8 @@ class ScalpingBotV2: self.use_ml_signal = get_env_bool("USE_ML_SIGNAL", False) self.ml_min_prob = get_env_float("ML_MIN_PROBABILITY", 0.55) - # 최소 가격 - self.min_price = get_env_float("MIN_PRICE_TAIL", 1000.0) + # 최소 가격 (스캘핑 전용 키 우선) + self.min_price = get_env_float("SCALP_MIN_PRICE", 0) or get_env_float("MIN_PRICE_TAIL", 1000.0) # ------------------------------------------------------------------ # 장 상태 체크 @@ -968,17 +968,19 @@ class ScalpingBotV2: state = {"last_exit_dt": last_exit_dt, "daily_cnt": daily_cnt} # 루프당 1회 설정된 params 사용 (후보마다 DB 열지 않음) + # RSI/되돌림 등은 매번 DB 최신값 반영 (재시작 없이 env_config 변경 적용) params = getattr(self, "_scan_engine_params", None) if params is None: _d = se.get_scalping_defaults_from_db() params = { **_d, - "rsi_oversold": self.rsi_oversold, - "rsi_overbought": self.rsi_overbought, + "rsi_oversold": get_env_float("SCALP_RSI_OVERSOLD", 25.0), + "rsi_overbought": get_env_float("SCALP_RSI_OVERBOUGHT", 75.0), "sl_pct": abs(self.scalp_stop_loss_pct), "tp_pct": self.scalp_take_profit_pct, "drop_rate": self.scalp_min_drop_rate, "vol_mult": self.vol_multiplier if self.vol_multiplier > 0 else 0, + "require_reversal_candle": get_env_bool("SCALP_REQUIRE_REVERSAL_CANDLE", True), } reject_reason, reject_msg, sig = se.check_buy_signal_live(candles, params, state) @@ -1136,7 +1138,7 @@ class ScalpingBotV2: # MAX_LOSS_PER_TRADE_KRW(원) ÷ |SCALP_STOP_LOSS_PCT| = 최대 투자 가능 금액 # 스캘핑 손절 1.5% 기준 예: 손실한도 20만원 → 투자상한 = 200,000 / 0.015 = 13,333,333원 # SLOT_MONEY_DEFAULT 가 더 낮으면 그쪽 사용 (포지션 과집중 방지) - max_loss_krw = get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) + max_loss_krw = get_env_int("SCALP_MAX_LOSS_PER_TRADE_KRW", 0) or get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) # 스캘핑 전용 손절 비율 (SCALP_STOP_LOSS_PCT, 기본 1.5%) scalp_sl_pct = abs(self.scalp_stop_loss_pct) # 양수로 처리 if max_loss_krw > 0 and scalp_sl_pct > 0: @@ -1196,7 +1198,7 @@ class ScalpingBotV2: self.ws_cache.subscribe(code) rsi_val = signal["entry_features"].get("rsi", 0) - msg = (f"🛒 **[스캘핑 매수]** {name}({code})\n" + msg = (f"🔷 **[스캘핑 매수]** {name}({code})\n" f"매수가: {price:,.0f}원 × {qty}주 = {price*qty:,.0f}원\n" f"손절: {stop_price:,.0f}원(-{abs(self.scalp_stop_loss_pct)*100:.1f}%) | " f"익절: {target_price:,.0f}원(+{self.scalp_take_profit_pct*100:.1f}%)\n" @@ -1286,9 +1288,13 @@ class ScalpingBotV2: if current_price <= stop_price: reason = f"손절 ({profit_pct*100:.2f}%)" - # [2] 금액 손실컷 (원화 기준) — 고가 종목에서 % 손절 이전에 원화 손실이 터지는 경우 대비 - # 예) 10만원짜리 20주 보유, 손절 -3% → 20만원 손실 → 설정값 초과 시 먼저 컷 - elif profit_val <= -get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000): + # [2] 금액 손실컷 — 손실 한도 초과 **이면서** 하락률이 최소값 이상일 때만 발동 (슬리피지/흔들림 방지) + _max_loss_krw = get_env_int("SCALP_MAX_LOSS_PER_TRADE_KRW", 0) or get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) + _min_drop = get_env_float("SCALP_MIN_DROP_PCT_FOR_LOSS_CUT", 0) or 0.015 + if _min_drop >= 1: + _min_drop = _min_drop / 100.0 + drop_pct = (buy_price - current_price) / buy_price if buy_price > 0 else 0 + if profit_val <= -_max_loss_krw and drop_pct >= _min_drop: reason = f"금액손실컷 ({profit_val:,.0f}원)" # [3] 익절 (% 기준) @@ -1375,9 +1381,9 @@ class ScalpingBotV2: elif "잔고" in msg1 or "보유" in msg1 or "APBK3020" in msg_cd: logger.warning("⚠️ [유령잔고 정리] %s %s: 브로커 잔고 없음 → 로컬 기록 강제 삭제", name, code) - self.db.close_trade(code=code, sell_price=0, - sell_reason="잔고없음(강제정리)", - strategy="SCALP_RSI_REVERSAL") + # 0원 강제정리를 trade_history에 남기면 손익 통계가 왜곡됨. + # 브로커에 실제 포지션이 없는 동기화 이슈 케이스는 active_trades만 정리. + self.db.delete_active_trade(code=code, strategy="SCALP_RSI_REVERSAL") self.holdings.pop(code, None) return @@ -1477,16 +1483,17 @@ class ScalpingBotV2: # ── 매수 체크 ───────────────────────────────────────── active_cnt = len(self.holdings) if candidates and active_cnt < self.max_stocks: - # 루프당 1회만 DB에서 기본값 로드 (후보마다 TradeDB 생성 방지 → 로그 스팸 제거) + # 루프당 1회만 DB에서 기본값 로드 (RSI/되돌림은 매 루프 최신값 사용 → 재시작 없이 env 반영) _d = se.get_scalping_defaults_from_db() self._scan_engine_params = { **_d, - "rsi_oversold": self.rsi_oversold, - "rsi_overbought": self.rsi_overbought, + "rsi_oversold": get_env_float("SCALP_RSI_OVERSOLD", 25.0), + "rsi_overbought": get_env_float("SCALP_RSI_OVERBOUGHT", 75.0), "sl_pct": abs(self.scalp_stop_loss_pct), "tp_pct": self.scalp_take_profit_pct, "drop_rate": self.scalp_min_drop_rate, "vol_mult": self.vol_multiplier if self.vol_multiplier > 0 else 0, + "require_reversal_candle": get_env_bool("SCALP_REQUIRE_REVERSAL_CANDLE", True), } logger.info("🔍 [매수체크] 후보 %d개 순회 (보유 %d/%d)", len(candidates), active_cnt, self.max_stocks) diff --git a/kis_short_ver2.py b/kis_short_ver2.py index 9846338..c319cee 100644 --- a/kis_short_ver2.py +++ b/kis_short_ver2.py @@ -3622,7 +3622,7 @@ MIN_DROP_RATE=0.025 invest_amt = price * qty cash_after = self.current_cash - invest_amt if self.current_cash >= invest_amt else 0 mm_msg = ( - f"🟢 **매수 체결** {name} ({code})\n" + f"🔷 **매수 체결** {name} ({code})\n" f"{price:,.0f}원 × {qty:,}주 | 손절 {stop_price:,.0f}원 / 목표 {target_price:,.0f}원\n" f"예수금(예상) {cash_after:,.0f}원 | 보유 {len(self.holdings)}종목" ) @@ -3707,8 +3707,9 @@ MIN_DROP_RATE=0.025 # 당일 손익: 오늘 장 시작 시 총자산 대비 현재 총자산 차이 day_pnl = self.current_total_asset - self.start_day_asset if self.start_day_asset else 0 day_pct = (day_pnl / self.start_day_asset * 100) if self.start_day_asset > 0 else 0 + emoji = "🟢" if profit_val >= 0 else "🔴" mm_msg = ( - f"🔴 **매도 체결** {name} ({code})\n" + f"{emoji} **매도 체결** {name} ({code})\n" f"{sell_price:,.0f}원 × {qty:,}주 | {signal['reason']} | 수익률 {pct:+.2f}% (실현 {profit_val:+,.0f}원)\n" f"예수금 {self.current_cash:,.0f}원 | 총자산 {self.current_total_asset:,.0f}원 | 보유 {len(self.holdings)}종목\n" f"당일손익 {day_pnl:+,.0f}원 ({day_pct:+.2f}%) | 누적손익 {cum_pnl:+,.0f}원 ({cum_pct:+.2f}%)" diff --git a/kis_short_ver3.py b/kis_short_ver3.py index 05a5ef3..d24dbd8 100644 --- a/kis_short_ver3.py +++ b/kis_short_ver3.py @@ -172,7 +172,7 @@ def _load_kis_token_cache(mock): logger.info("한투 토큰 캐시 없음 → API 발급 예정 (캐시 경로: %s)", path) return None try: - logger.info("패스 %s", path) + logger.info("캐시 경로 %s", path) with open(path, "r", encoding="utf-8") as f: cache = json.load(f) if cache.get("mock") != mock: @@ -2548,14 +2548,13 @@ class ShortTradingBot: - 최근 거래: 없음 **현재 DB 설정 수치 (일부만 표시됨, 계좌/키 등 제외)** -``` + {env_lines} -``` + **봇 최근 로그 (journalctl 최근 {log_lines_int}줄) – 탈락 사유·API 과부하·매수 시도 등 참고** -``` {journal_log[:15000]} -``` + **당신의 임무** 1. 위 설정과 후보 수({candidate_count}개)를 보고 문제점 분석 (필터가 너무 까다로운지 등). @@ -2628,14 +2627,12 @@ MIN_DROP_RATE=0.025 {trades_text} **현재 DB 설정 수치 (계좌/키 등 제외, 수치만)** -``` {env_lines} -``` + **봇 최근 로그 (journalctl 최근 {log_lines_int}줄) – 탈락 사유·API 과부하·매수 시도 등 참고** -``` {journal_log[:15000]} -``` + **당신의 임무** 1. **승률이 왜 떨어졌는지** 거래 내역과 설정 수치를 보고 구체적으로 3가지 진단 (손절/진입/보유 등). @@ -2910,7 +2907,7 @@ MIN_DROP_RATE=0.025 return None def check_buy_signal_tail_catch(self, code: str, name: str): - """tail_engine.check_buy_signal_live 사용 (확정봉만). V2 전용 필터(시장/테마/MA20/ML 등)만 추가.""" + """tail_engine.check_buy_signal_live 사용 (확정봉만). V2 전용 필터(시장/테마/ML)만 추가. 중복 방어 제거됨.""" try: if get_env_bool("FORCE_BUY_TEST", False): return self._force_buy_tail(code, name) @@ -2938,9 +2935,9 @@ MIN_DROP_RATE=0.025 return None min_candle_len = get_env_int("MIN_CANDLE_LEN_TAIL", 14) - min_price_tail = get_env_float("MIN_PRICE_TAIL", 1000.0) candles = None df = None + # 확정봉만 사용 (백테스트와 동일: 신호봉 확정 후 다음 봉 시가 진입) if self.candle_agg: raw = self.candle_agg.get_candles(code, 3, 50) # 이미 확정봉만 반환 @@ -2971,11 +2968,6 @@ MIN_DROP_RATE=0.025 if len(candles) < 10: return None - current_price = float(candles[-1]["close"]) - if current_price <= 0 or current_price < min_price_tail: - logger.info(f"{LOG_YELLOW}🔍 [탈락-가격] {name} {code}: 시가/현재가 부적절 (현재 {current_price:,.0f}원, 최소 {min_price_tail:,.0f}){LOG_RESET}") - return None - today_yyyymmdd = dt.now().strftime("%Y%m%d") last_exit_dt = None if code in self.recently_sold: @@ -2992,76 +2984,27 @@ MIN_DROP_RATE=0.025 daily_cnt = 0 state = {"last_exit_dt": last_exit_dt, "daily_cnt": daily_cnt} - _d = te.get_tail_defaults_from_db(self.db) - params = { - **_d, - "min_drop_rate": self.min_drop_rate, - "min_recovery_ratio": self.min_recovery_ratio, - "tail_ratio_min": get_env_float("TAIL_RATIO_MIN", 1.5), - "tail_pct_min": get_env_float("TAIL_PCT_MIN", 0.003), - "sl_pct": abs(self.stop_loss_pct) if self.stop_loss_pct < 0 else 0.03, - "tp_pct": self.take_profit_pct, - } - - reject_reason, reject_msg, sig = te.check_buy_signal_live(candles, params, state) + # 엔진 파라미터 로드 + _params = te.get_tail_defaults_from_db(self.db) + + # 엔진 통과 여부 검사 (피뢰침, MA20, 금액 등 전부 엔진에서 검사) + reject_reason, reject_msg, sig = te.check_buy_signal_live(candles, _params, state) if reject_reason: + # 엔진에서 판단한 탈락 사유(피뢰침, MA20 등)를 그대로 로그로 출력 logger.info(f"{LOG_YELLOW}🔍 [{reject_reason}] {name} {code}: {reject_msg}{LOG_RESET}") return None if sig is None: return None + # 엔진 통과 → 통과 로그 (백테스트와 동일 로직) - logger.info(f"{LOG_GREEN}🔍 [통과-낙폭·회복] {name} {code} → 꼬리/피뢰침/RSI 체크{LOG_RESET}") + logger.info(f"{LOG_GREEN}🔍 [통과-엔진 검증 완료] {name} {code} → 최종 ML 필터링 대기{LOG_RESET}") - # V2 전용: 피뢰침 급등주, MA20, ML (엔진에는 없음) — df 없으면 캔들 리스트에서 계산 - if df is not None and not df.empty: - day_open = float(df["open"].iloc[0]) - day_high = float(df["high"].max()) - else: - day_open = float(candles[0]["open"]) - day_high = max(float(c["high"]) for c in candles) - try: - if df is not None and not df.empty: - lows = df["low"] - valid = lows[lows > 0] - day_low = float(valid.min()) if not valid.empty else float(df["low"].min()) - else: - day_low = min(float(c["low"]) for c in candles if float(c.get("low", 0)) > 0) if candles else 0 - if day_low <= 0: - day_low = float(candles[0]["low"]) if candles else 0 - except Exception: - day_low = float(candles[0]["low"]) if candles else 0 - if self.ws_cache and self.ws_cache.is_active: - w = self.ws_cache.get_price(code) - if w: - day_open = abs(float(str(w.get("stck_oprc", day_open)).replace(",", ""))) or day_open - day_high = abs(float(str(w.get("stck_hgpr", day_high)).replace(",", ""))) or day_high - day_low = abs(float(str(w.get("stck_lwpr", day_low)).replace(",", ""))) or day_low - current_price = abs(float(str(w.get("stck_prpr", current_price)).replace(",", ""))) or current_price - high_chase_threshold = get_env_float("HIGH_PRICE_CHASE_THRESHOLD", 0.96) - if current_price >= day_high * high_chase_threshold: - logger.info(f"{LOG_YELLOW}🔍 [탈락-피뢰침 고점추격] {name} {code}: 현재가 {current_price:,.0f} ≥ 고점대비 {high_chase_threshold*100:.0f}%{LOG_RESET}") - return None - if day_low > 0: - range_change_pct = (day_high - day_low) / day_low * 100 - else: - range_change_pct = 0 - max_daily_change = get_env_float("MAX_DAILY_CHANGE_PCT", 20.0) - if range_change_pct > max_daily_change: - logger.info(f"{LOG_YELLOW}🔍 [탈락-피뢰침 급등주] {name} {code}: 일일 변동폭 {range_change_pct:.1f}% > {max_daily_change:.0f}%{LOG_RESET}") - return None - if df is not None and not df.empty and "MA20" in df.columns and len(df) >= 20: - ma20 = float(df["MA20"].iloc[-1]) - if current_price < ma20: - logger.info(f"{LOG_YELLOW}🔍 [탈락-MA20] {name} {code}: 현재가 {current_price:,.0f} < MA20 {ma20:,.0f}{LOG_RESET}") - return None - ma20_cap_pct = get_env_float("MA20_MAX_ABOVE_PCT", 3.0) - if ma20 > 0 and current_price > ma20 * (1 + ma20_cap_pct / 100): - logger.info(f"{LOG_YELLOW}🔍 [탈락-MA20초과] {name} {code}: MA20 대비 {ma20_cap_pct:.0f}% 초과{LOG_RESET}") - return None + current_price = float(candles[-1]["close"]) tail_ratio = sig.get("tail_ratio", 0) recovery_pos = sig.get("recovery_pos", 0) rsi_val = sig.get("rsi_val", 50.0) tail_pct = sig.get("tail_pct", 0) + entry_features = { "rsi": rsi_val, "volume_ratio": None, @@ -3072,6 +3015,8 @@ MIN_DROP_RATE=0.025 "institution_net_buy": 0, "market_hour": dt.now().hour, } + + # ML 예측 필터 (라이브 전용) if self.use_ml_signal and getattr(self, "ml_predictor", None): try: ml_prob = getattr(self, "ml_predictor", None).predict_win_probability(entry_features) @@ -3101,30 +3046,19 @@ MIN_DROP_RATE=0.025 return None def check_sell_signals(self): - """tail_engine.check_sell_signal_live 사용 (손절/익절/어깨컷/장마감) + 금액손실컷만 V2 유지.""" + """tail_engine.check_sell_signal_live 사용 (손절/익절/어깨컷/장마감/금액손실컷)""" if not self.holdings: return [] sell_signals = [] - min_hold_sec = get_env_float("MIN_HOLD_AFTER_BUY_SEC", 30.0) now = dt.now() is_eod = (now.hour == 15 and now.minute >= 25) or now.hour > 15 _params = te.get_tail_defaults_from_db(self.db) - _params["sl_pct"] = abs(self.stop_loss_pct) if self.stop_loss_pct < 0 else 0.03 - _params["tp_pct"] = self.take_profit_pct - + for code, holding in list(self.holdings.items()): try: name = holding.get("name", code) buy_price = holding["buy_price"] - buy_time_str = holding.get("buy_time", "") qty = holding["qty"] - if buy_time_str and min_hold_sec > 0: - try: - buy_time = dt.strptime(buy_time_str, "%Y-%m-%d %H:%M:%S") - if (now - buy_time).total_seconds() < min_hold_sec: - continue - except Exception: - pass price_data = None if self.ws_cache and self.ws_cache.is_active: @@ -3141,31 +3075,26 @@ MIN_DROP_RATE=0.025 if current_price > max_price: max_price = current_price self.holdings[code]["max_price"] = max_price + profit_pct = (current_price - buy_price) / buy_price if buy_price > 0 else 0 - profit_val = (current_price - buy_price) * qty - - # V2 전용: 금액손실컷 - if profit_val <= -get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000): - sell_signals.append({ - "code": code, "name": name, "current_price": current_price, "price": current_price, - "qty": qty, "buy_price": buy_price, "profit_pct": profit_pct, - "reason": f"금액손실컷 ({profit_val:,.0f}원)", - }) - continue + # 엔진에 필요한 정보 통합 전달 (금액손실컷 검사를 위해 qty 추가) position = { "entry_price": buy_price, "entry_time": holding.get("buy_time", ""), "stop": holding.get("stop_price", buy_price * (1 + self.stop_loss_pct)), "target": holding.get("target_price", buy_price * (1 + self.take_profit_pct)), "max_price": max_price, + "qty": qty, # V3 연동: 금액손실컷 검사용 } - current_candle = {"high": max_price, "low": current_price, "close": current_price} + current_candle = {"high": max_price, "low": current_price, "close": current_price, "candle_time": now.strftime("%Y%m%d%H%M")} + + # 엔진 내부에서 금액손실컷을 포함한 전체 청산 검사 수행 res = te.check_sell_signal_live(position, current_candle, _params, is_eod=is_eod) if res: - reason, _ = res + reason, exit_price = res sell_signals.append({ - "code": code, "name": name, "current_price": current_price, "price": current_price, + "code": code, "name": name, "current_price": current_price, "price": exit_price, "qty": qty, "buy_price": buy_price, "profit_pct": profit_pct, "reason": reason, }) except Exception as e: @@ -3395,7 +3324,7 @@ MIN_DROP_RATE=0.025 invest_amt = price * qty cash_after = self.current_cash - invest_amt if self.current_cash >= invest_amt else 0 mm_msg = ( - f"🟢 **매수 체결** {name} ({code})\n" + f"🔷 **매수 체결** {name} ({code})\n" f"{price:,.0f}원 × {qty:,}주 | 손절 {stop_price:,.0f}원 / 목표 {target_price:,.0f}원\n" f"예수금(예상) {cash_after:,.0f}원 | 보유 {len(self.holdings)}종목" ) @@ -3480,8 +3409,9 @@ MIN_DROP_RATE=0.025 # 당일 손익: 오늘 장 시작 시 총자산 대비 현재 총자산 차이 day_pnl = self.current_total_asset - self.start_day_asset if self.start_day_asset else 0 day_pct = (day_pnl / self.start_day_asset * 100) if self.start_day_asset > 0 else 0 + emoji = "🟢" if profit_val >= 0 else "🔴" mm_msg = ( - f"🔴 **매도 체결** {name} ({code})\n" + f"{emoji} **매도 체결** {name} ({code})\n" f"{sell_price:,.0f}원 × {qty:,}주 | {signal['reason']} | 수익률 {pct:+.2f}% (실현 {profit_val:+,.0f}원)\n" f"예수금 {self.current_cash:,.0f}원 | 총자산 {self.current_total_asset:,.0f}원 | 보유 {len(self.holdings)}종목\n" f"당일손익 {day_pnl:+,.0f}원 ({day_pct:+.2f}%) | 누적손익 {cum_pnl:+,.0f}원 ({cum_pct:+.2f}%)" @@ -3655,4 +3585,4 @@ MIN_DROP_RATE=0.025 if __name__ == "__main__": logger.info("🚀 KIS Short V3 (tail_engine 기반, 단독 실행)") bot = ShortTradingBot() # V3: 매수/매도 = tail_engine (백테스트와 동일 규칙) - bot.run() + bot.run() \ No newline at end of file diff --git a/kis_token_manager.py b/kis_token_manager.py index b279b3e..a06ec15 100644 --- a/kis_token_manager.py +++ b/kis_token_manager.py @@ -135,14 +135,59 @@ def _release_lock(): pass +# ───────────────────────────────────────────────────────────────────────────── +# 발급 시도 백오프 (분당 1회 제한 / 네트워크 오류 누적 폭주 방지) +# ───────────────────────────────────────────────────────────────────────────── +# KIS 가 EGW00133 (1분당 1회) 로 거부했을 때, 다음 시도까지 강제로 기다리는 +# 시간(초). 이 백오프가 없으면 토큰 만료 시점에 호출자(전략·헬스체크·봇 등) +# 가 매번 _issue_token 을 호출 → KIS 정책 위반 패턴으로 분류될 위험. +RATE_LIMIT_BACKOFF_S = 65 # EGW00133 받으면 65초 동안 재시도 금지 +GENERIC_FAIL_BACKOFF_S = 10 # 그 외 발급 실패 (네트워크/타임아웃 등) + +# is_mock(bool) → 다음 시도 가능 시각 (epoch seconds) +_next_issue_at: dict = {False: 0.0, True: 0.0} +_next_issue_lock = threading.Lock() + + +def _can_issue_now(is_mock: bool) -> tuple: + """ + 백오프 시간이 지났는지 확인. + + Returns: + (allowed, wait_s) — allowed=False 면 wait_s 초 더 기다려야 함. + """ + with _next_issue_lock: + now = time.time() + next_at = _next_issue_at.get(is_mock, 0.0) + if now < next_at: + return False, next_at - now + return True, 0.0 + + +def _set_backoff(is_mock: bool, seconds: float) -> None: + """다음 발급 시도까지 ``seconds`` 초 대기.""" + with _next_issue_lock: + _next_issue_at[is_mock] = time.time() + seconds + + def _issue_token(app_key: str, app_secret: str, is_mock: bool) -> bool: """ KIS /oauth2/tokenP 엔드포인트로 새 토큰 발급 후 캐시 저장. 성공 시 True, 실패 시 False. - ※ KIS 정책: 23시간 내 중복 발급 시 서비스 제한 가능. + ※ KIS 정책: 23시간 내 중복 발급 시 서비스 제한 가능 + 분당 1회 제한 (EGW00133). 이 함수는 만료 1시간 전까지 기존 토큰을 재사용하므로 하루 1회만 호출됨. + 발급 실패 시 백오프(`_set_backoff`)로 호출자 폭주 방지. """ + # 백오프 미경과 → 즉시 실패 (호출자에게 재시도 부담 떠넘기기 금지) + allowed, wait_s = _can_issue_now(is_mock) + if not allowed: + logger.warning( + "⏸ %s 토큰 발급 백오프 중 (%.1fs 남음) → 발급 시도 건너뜀", + "모의" if is_mock else "실전", wait_s, + ) + return False + base_url = ( "https://openapivts.koreainvestment.com:29443" if is_mock else @@ -165,9 +210,15 @@ def _issue_token(app_key: str, app_secret: str, is_mock: bool) -> bool: if not token: err = data.get("message") or data.get("error_description") or str(data) logger.error(f"❌ {mode} 토큰 발급 실패: {err}") - # EGW00133: 1분당 1회 제한 + # EGW00133: 1분당 1회 제한 → 65초 강제 백오프 (호출자 폭주 차단) if "EGW00133" in str(data): - logger.warning("⚠️ KIS 분당 발급 제한. 1분 후 재시도하세요.") + _set_backoff(is_mock, RATE_LIMIT_BACKOFF_S) + logger.warning( + "⚠️ KIS 분당 발급 제한 (EGW00133). %ds 동안 재시도 차단.", + RATE_LIMIT_BACKOFF_S, + ) + else: + _set_backoff(is_mock, GENERIC_FAIL_BACKOFF_S) return False cache_path.write_text( @@ -178,11 +229,14 @@ def _issue_token(app_key: str, app_secret: str, is_mock: bool) -> bool: }, ensure_ascii=False, indent=2), encoding="utf-8", ) + # 성공 시 백오프 해제 (다음 만료 때 즉시 시도 가능) + _set_backoff(is_mock, 0) logger.info(f"✅ {mode} 토큰 발급 완료 | 만료: {exp} | 앞12자: {token[:12]}…") return True except Exception as e: logger.error(f"❌ {mode} 토큰 발급 예외: {e}") + _set_backoff(is_mock, GENERIC_FAIL_BACKOFF_S) return False @@ -332,6 +386,8 @@ class KisTokenManager: 1. 메모리 캐시 유효 → 즉시 반환 (파일 읽기 없음) 2. 메모리 만료 → 파일 재로드 (다른 프로세스가 갱신했을 수 있음) 3. 파일도 만료 → ensure_token() 으로 신규 발급 + 파일/메모리 갱신 + 4. 발급 백오프 중이면 (EGW00133 직후 등) 만료된 토큰이라도 반환 + → 호출자가 None 받고 또 호출 → 또 None ... 무한루프 방지 """ with self._lock: if self._is_valid(): @@ -342,6 +398,16 @@ class KisTokenManager: logger.info("🔑 %s 토큰 파일 갱신 감지 → 메모리 갱신", self._mode_str) return self._token + # 백오프 중이면 발급 시도 자체를 안 함 (호출자 폭주 차단) + allowed, wait_s = _can_issue_now(self._is_mock) + if not allowed: + logger.debug( + "⏸ %s 토큰 발급 백오프 중 (%.1fs 남음) → 만료 캐시 토큰 임시 반환", + self._mode_str, wait_s, + ) + # 만료 토큰이라도 반환 (None 보다 안전 — 호출자 None 폭주 방지) + return self._token + # 파일도 만료 → 잠금 기반 신규 발급 ok = ensure_token(self._is_mock) if ok: @@ -352,7 +418,10 @@ class KisTokenManager: self._mode_str, (self._token[:8] if self._token else "N/A"), ) - return self._token if ok else None + return self._token + # 발급 실패 — 백오프는 _issue_token 안에서 이미 설정됨. + # 만료된 메모리 토큰이라도 있으면 반환 (호출자가 None 보고 또 두드리는 것 방지). + return self._token def status(self) -> dict: """현재 상태 반환 (get_token_status 래퍼, 남은 시간 포함)""" diff --git a/kis_trader/README.md b/kis_trader/README.md new file mode 100644 index 0000000..acbacd5 --- /dev/null +++ b/kis_trader/README.md @@ -0,0 +1,116 @@ +# kis_trader — 통합 트레이딩 봇 + +스캘핑(`SCALP`) + 꼬리잡기(`SHORT`, Tail Catch) 두 전략을 **단일 프로세스**에서 +**각자 독립 쓰레드**로 돌리는 통합 봇. KIS REST/WebSocket 호출을 단일 허브로 +묶고, 주문은 단일 `OrderManager` 를 경유해 ODNO 기반으로 추적한다. + +## 디렉터리 + +``` +kis_trader/ +├── main.py # 오케스트레이터 (각 전략을 쓰레드로 기동) +├── utils/ +│ ├── env.py # env_config (DB) + os.environ 통합 조회 +│ ├── logger.py # 공용 로거 / 안전 JSON 저장 / 알림(MM/TG) +│ └── request_handler.py # SafeRequest: rate-limit + 재시도 +├── network/ +│ └── ws_manager.py # 단일 WS 허브 (kis_ws 재사용, 구독 ref-counting) +├── strategies/ +│ ├── base.py # BaseStrategy (threading.Thread) +│ ├── scalping.py # scalping_engine 래퍼 +│ └── tail_catch.py # tail_engine 래퍼 +├── execution/ +│ ├── kis_client.py # 통합 KIS REST 클라이언트 (ODNO 반환) +│ └── order_manager.py # Master Executor (종목 Lock + 실잔고검증) +├── database/ +│ └── db_manager.py # TradeDBExt: 기존 TradeDB + orders 테이블 +└── backtest/ + └── backtest_web.py # 기존 backtest_web.py 재호출 래퍼 +``` + +## 아키텍처 한 눈에 + +``` +[SCALP 쓰레드] ──┐ + │─▶ OrderRequest ─▶ OrderManager ─▶ KISClient ─▶ KIS API +[SHORT 쓰레드] ──┘ │ │ │ + │ │ └── DB(orders) ← ODNO PK + │ └───── DB(active_trades, trade_history) + └──────── 실잔고 검증 (get_broker_holdings) + +공유 인프라 (1개 인스턴스) + • KISClient : 토큰/Throttle/재시도 + • WSManager : 단일 WS 세션, 구독 ref counting + • TradeDBExt : orders 테이블 + 기존 TradeDB + • OrderManager : 종목 Lock, 동일 종목 다전략 정책, ODNO 저장 +``` + +## 왜 이 구조인가 + +기존 문제 | 새 구조에서의 해결 +-- | -- +봇이 잡고 있는 `holdings` 가 실제 계좌와 어긋남 | 매도/매수 직전 `OrderManager.get_broker_holdings(force=True)` 호출로 실잔고 검증 +두 봇이 같은 종목에 동시 매수 → 이중 포지션 | `OrderManager._code_locks[code]` 로 직렬화 + `orders` 테이블 `UNIQUE(strategy,code,side,date)` +주문번호(ODNO) 미저장 → 사후 추적 불가 | `kis_client._order()` 가 ODNO 반환 → `TradeDBExt.insert_order()` 로 PK 저장 +토큰 재발급 경합 / REST 호출 폭주 | `KISClient` 하나 + `kis_token_manager` 공유 + `SafeRequest` 쿨다운 +두 봇이 WS 각자 → 구독 수/approval_key 경합 | `WSManager` 단일 세션 + 구독 레퍼런스 카운팅 +설정 하드코딩 | 모든 값은 `env_config` → `os.environ` → 기본값 순으로 조회 + +## 실행 + +```bash +cd ~/kis_bot + +# 기본(두 전략 모두 ON) +python -m kis_trader.main + +# 스캘핑만 +STRATEGY_SCALP_ENABLED=true STRATEGY_SHORT_ENABLED=false python -m kis_trader.main + +# 꼬리잡기만 +STRATEGY_SCALP_ENABLED=false STRATEGY_SHORT_ENABLED=true python -m kis_trader.main +``` + +## 주요 환경변수 + +이름 | 기본 | 설명 +-- | -- | -- +`STRATEGY_SCALP_ENABLED` | `true` | 스캘핑 전략 활성화 +`STRATEGY_SHORT_ENABLED` | `true` | 꼬리잡기 전략 활성화 +`STRATEGY_SAME_CODE_POLICY` | `block` | 같은 종목을 다른 전략이 이미 보유 중일 때 `block`(차단) / `allow`(허용) +`REAL_BALANCE_VERIFY_BEFORE_BUY` | `true` | 매수 전 실 잔고 재조회 +`REAL_BALANCE_VERIFY_BEFORE_SELL` | `true` | 매도 전 실 잔고 재조회 (0주면 active_trades 정리) +`MAX_STOCKS` | `3` | 전략당 동시 보유 최대 종목 수 +`REENTRY_COOLDOWN_SEC` | `300` | 매도 후 같은 종목 재진입 쿨다운(초) +`WS_TIMEFRAMES` | `1,3,15,60` | WS 봉 집계 타임프레임(분) +`PERMANENT_WS_CODES` | `069500,229200` | WS 영구 구독 코드(쉼표) +`SCALP_STOP_LOSS_PCT` / `SCALP_TAKE_PROFIT_PCT` | `-0.015` / `0.015` | 스캘핑 손절/익절 비율 +`STOP_LOSS_PCT` / `TAKE_PROFIT_PCT` | `-0.04` / `0.05` | 꼬리잡기 손절/익절 비율 +`MAX_LOSS_PER_TRADE_KRW` | `200000` | 1회 거래 최대 손실 허용액(원) +`SLOT_MONEY_DEFAULT` | `3000000` | 1슬롯 기본 투자 금액(원) + +## 전략 ON/OFF 동작 방식 + +`TradingOrchestrator` 는 시작 시 `STRATEGY_*_ENABLED` 를 읽어서 해당 전략 클래스를 +쓰레드로 등록한다. 따라서: + +1. 꼬리잡기만 끄고 싶을 때 → `env_config` 또는 OS env 에 `STRATEGY_SHORT_ENABLED=false` +2. 재시작 필요 (동작 중 on/off 전환은 지원 안 함, 대신 공격적 재시작 스크립트 사용) + +## 백테스트 + +```bash +python -m kis_trader.backtest.backtest_web +``` + +엔진(`scalping_engine.py`, `tail_engine.py`) 자체를 공유하므로 백테스트와 실매매 +신호는 100% 동일 로직이다. + +## 주의사항 + +- 프로젝트 루트의 기존 파일 (`scalping_engine.py`, `tail_engine.py`, `kis_ws.py`, + `kis_token_manager.py`, `risk_manager.py`, `database.py` 등) 을 **그대로** 사용한다. + `kis_trader/` 는 이들을 **조립**하는 얇은 래퍼 층이다. +- DB 스키마에 `orders` 테이블이 자동 생성된다 (`TradeDBExt._ensure_orders_table`). +- 기존 `kis_scalping_ver2.py` / `kis_short_ver3.py` 는 남겨두되, 중복 실행 금지 + (계좌/토큰/WS 경합). diff --git a/kis_trader/__init__.py b/kis_trader/__init__.py new file mode 100644 index 0000000..603d43a --- /dev/null +++ b/kis_trader/__init__.py @@ -0,0 +1,3 @@ +"""kis_trader — 스캘핑 + 꼬리잡기 통합 트레이딩 봇.""" + +__version__ = "0.1.0" diff --git a/kis_trader/backtest/__init__.py b/kis_trader/backtest/__init__.py new file mode 100644 index 0000000..8391117 --- /dev/null +++ b/kis_trader/backtest/__init__.py @@ -0,0 +1 @@ +"""kis_trader.backtest — 백테스트 웹 UI 진입점.""" diff --git a/kis_trader/backtest/backtest_web.py b/kis_trader/backtest/backtest_web.py new file mode 100644 index 0000000..dc5cdce --- /dev/null +++ b/kis_trader/backtest/backtest_web.py @@ -0,0 +1,48 @@ +""" +kis_trader/backtest/backtest_web.py — 기존 ``backtest_web.py`` 재사용 엔트리. + +실행 예: + python -m kis_trader.backtest.backtest_web + +내부에서 프로젝트 루트의 ``backtest_web.py`` 를 import 해서 main 을 호출한다. +기존 scalping_engine / tail_engine 을 공유하므로 백테스트-실매매 간 로직 일치 보장. +""" +from __future__ import annotations + +import os +import sys + + +def _ensure_root_on_path() -> None: + root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) + if root not in sys.path: + sys.path.insert(0, root) + + +def main() -> None: + _ensure_root_on_path() + import backtest_web as _bw # type: ignore + + # 1순위: 루트 backtest_web 에 main() 이 정의되어 있으면 그대로 호출 + fn = getattr(_bw, "main", None) + if callable(fn): + fn() + return + + # 2순위: Flask `app` 객체가 있으면 직접 기동 (원본의 `if __name__ == "__main__":` + # 블록은 import 경로에서 동작하지 않으므로 여기서 명시적으로 실행) + app = getattr(_bw, "app", None) + if app is not None and hasattr(app, "run"): + host = os.environ.get("BT_WEB_HOST", "0.0.0.0") + port = int(os.environ.get("BT_WEB_PORT", "5050")) + print(f"🚀 Backtest Web 기동: http://{host}:{port}", flush=True) + app.run(host=host, port=port, debug=False) + return + + # 3순위(fallback): 스크립트 스타일 파일을 `__main__` 으로 재실행 + import runpy + runpy.run_path(_bw.__file__, run_name="__main__") + + +if __name__ == "__main__": + main() diff --git a/kis_trader/backtest/param_apply_ai.py b/kis_trader/backtest/param_apply_ai.py new file mode 100644 index 0000000..b153791 --- /dev/null +++ b/kis_trader/backtest/param_apply_ai.py @@ -0,0 +1,321 @@ +#!/usr/bin/env python3 +""" +kis_trader/backtest/param_apply_ai.py +===================================== +파라미터 탐색 결과 JSON을 Gemini에 넘겨, 수익 나는 것 중 승률 높은 조합을 +골라 DB env_config 에 적용한다. + +- 스캘핑 : 최근 search_*.json (top 배열) 중 total_pnl > 0 만 AI 후보 +- 꼬리잡기: tail_param_result.json 또는 tail_search_*.json (results 배열) 중 total_pnl > 0 만 AI 후보 +- 승률만 높거나 손익만 큰 것은 제외하고 "수익이 나는 것 중 승률이 높은 것" 을 고르도록 프롬프트 구성 +- [안전장치] 총손익(total_pnl)이 양수인 조합이 하나도 없으면 AI 적용을 즉시 취소하여 계좌를 보호 + +위치 이관(2026-04 기준): + backtest_scalping/param_apply_ai.py → kis_trader/backtest/param_apply_ai.py + +경로 정책: +- ROOT = kis_bot 프로젝트 루트 (kis_trader/backtest/파일 기준 3단계 위) +- HERE = 본 스크립트 폴더 (kis_trader/backtest/) +- 결과 디렉터리 = [HERE/results] 가 있으면 사용, 없으면 구(舊) [ROOT/backtest_scalping/results] 를 fallback +- tail 중간파일 = [HERE/tail_param_result.json] → fallback [ROOT/backtest_scalping/tail_param_result.json] + +사용: param_search.py / tail_param_search.py 에서 --apply-ai 옵션으로 호출 (이 모듈을 임포트해 사용). +""" + +import os +import re +import sys +import json +import logging +from typing import List, Dict, Any, Optional + +# 프로젝트 루트 (kis_bot) — 3단계 위 +ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +if ROOT not in sys.path: + sys.path.insert(0, ROOT) + +# 본 스크립트 디렉터리 (kis_trader/backtest/) — param_search / tail_param_search 동일 폴더 임포트용 +HERE = os.path.dirname(os.path.abspath(__file__)) +if HERE not in sys.path: + sys.path.insert(0, HERE) + +logger = logging.getLogger("param_apply_ai") + +# Gemini 클라이언트 (지연 초기화) +_gemini_client = None +_gemini_model_id = "gemini-2.5-flash" + + +# ────────────────────────────────────────────────────────────────────────────── +# 결과 파일 탐색 유틸 (신규 → 구 경로 fallback) +# ────────────────────────────────────────────────────────────────────────────── + +def _candidate_result_dirs() -> List[str]: + """결과 디렉터리 후보 [신규 > 구] 순서로 반환.""" + return [ + os.path.join(HERE, "results"), + os.path.join(ROOT, "backtest_scalping", "results"), + ] + + +def _find_latest_json(prefix: str) -> Optional[str]: + """prefix(예: 'search_', 'tail_search_') 로 시작하는 가장 최근 JSON 경로를 반환.""" + best_path, best_mtime = None, -1.0 + for d in _candidate_result_dirs(): + if not os.path.isdir(d): + continue + for f in os.listdir(d): + if not (f.startswith(prefix) and f.endswith(".json")): + continue + p = os.path.join(d, f) + try: + m = os.path.getmtime(p) + except OSError: + continue + if m > best_mtime: + best_mtime = m + best_path = p + return best_path + + +def _find_tail_result_json() -> Optional[str]: + """tail_param_result.json 을 신규·구 경로 순으로 찾는다.""" + candidates = [ + os.path.join(HERE, "tail_param_result.json"), + os.path.join(ROOT, "backtest_scalping", "tail_param_result.json"), + ] + for p in candidates: + if os.path.isfile(p): + return p + return None + + +# ────────────────────────────────────────────────────────────────────────────── +# Gemini +# ────────────────────────────────────────────────────────────────────────────── + +def _get_gemini_client(): + """DB env_config 에서 GEMINI_API_KEY 를 읽어 클라이언트 생성.""" + global _gemini_client + if _gemini_client is not None: + return _gemini_client + try: + from database import TradeDB + db = TradeDB() + try: + latest = db.get_latest_env() + snap = (latest or {}).get("snapshot") or {} + key = (snap.get("GEMINI_API_KEY") or "").strip() + finally: + db.close() + if not key: + msg = "❌ GEMINI_API_KEY 가 DB env_config 에 없습니다." + logger.error(msg) + print(msg) + return None + import google.genai as genai + _gemini_client = genai.Client(api_key=key) + return _gemini_client + except ImportError: + msg = "❌ google-genai 미설치. pip install google-genai" + logger.error(msg) + print(msg) + return None + except Exception as e: + msg = f"❌ Gemini 클라이언트 초기화 실패: {e}" + logger.error(msg) + print(msg) + return None + + +def _build_prompt(results: List[Dict], strategy_name: str, max_rank: int) -> str: + """Gemini에 넘길 프롬프트 문자열 생성. 수익 나는 것 중 승률 높은 것 우선 선택 요청.""" + lines = [ + f"아래는 {strategy_name} 백테스트 파라미터 탐색 결과 상위 {len(results)}개입니다.", + "각 행: 순위, 승률(%), 총손익(원), 거래수, Profit Factor", + "", + ] + for i, r in enumerate(results, 1): + pnl = r.get("total_pnl", 0) + wr = r.get("win_rate", 0) + trades = r.get("total_trades", 0) + pf = r.get("pf", 0) + lines.append(f" {i:2d}위 | 승률 {wr}% | 손익 {pnl:+,}원 | 거래 {trades}건 | PF {pf}") + lines.extend([ + "", + "조건: 반드시 **총손익이 플러스(total_pnl > 0)** 인 것만 고려하고,", + "그 중에서 **승률이 높은 것**을 우선으로 하나만 골라주세요.", + f"1~{max_rank} 중 하나의 순위만 숫자로 답해주세요. 예: 3", + ]) + return "\n".join(lines) + + +def _parse_rank_from_response(text: str, max_rank: int) -> Optional[int]: + """Gemini 응답에서 1~max_rank 사이 숫자 하나 추출.""" + if not text: + return None + for m in re.finditer(r"\b([1-9]|[1-9][0-9]?)\b", text): + n = int(m.group(1)) + if 1 <= n <= max_rank: + return n + return None + + +def pick_rank_by_ai(results: List[Dict], strategy_name: str, max_candidates: int = 50) -> Optional[int]: + """ + 결과 리스트(상위 max_candidates개)를 Gemini에 넘겨, 수익 나는 것 중 승률 높은 순위 하나 선택. + Returns: 1-based rank (1~len(candidates)), 또는 None (실패 시). + """ + candidates = results[:max_candidates] if len(results) > max_candidates else results + if not candidates: + return None + max_rank = len(candidates) + prompt = _build_prompt(candidates, strategy_name, max_rank) + client = _get_gemini_client() + if not client: + return None + try: + response = client.models.generate_content(model=_gemini_model_id, contents=prompt) + text = (response.text or "").strip() + rank = _parse_rank_from_response(text, max_rank) + if rank is not None: + logger.info(f"🤖 Gemini 선택: {rank}위 (응답 일부: {text[:200]}...)") + print(f"🤖 Gemini 선택: {rank}위") + return rank + except Exception as e: + msg = f"❌ Gemini 호출 실패: {e}" + logger.error(msg) + print(msg) + return None + + +# ────────────────────────────────────────────────────────────────────────────── +# 스캘핑 / 꼬리잡기 AI 적용 엔트리 +# ────────────────────────────────────────────────────────────────────────────── + +def apply_ai_scalp() -> bool: + """ + 최근 search_*.json 을 찾아 상위 목록 로드 → 수익 나는 것 중 Gemini가 고른 순위를 DB에 적용. + Returns: 성공 여부. + """ + latest_path = _find_latest_json("search_") + if not latest_path: + msg = "❌ search_*.json 파일이 없습니다. 먼저 탐색을 실행하세요." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + print(f"📂 사용 파일 (최근 결과): {latest_path}") + + with open(latest_path, "r", encoding="utf-8") as f: + data = json.load(f) + + top = data.get("top") or [] + if not top: + msg = "❌ JSON에 top 배열이 없습니다." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + # [안전장치] 양수(수익)인 조합만 철저히 필터링 + profitable_top = [t for t in top if t.get("total_pnl", 0) > 0] + if not profitable_top: + print("\n🚨 scalp [안전장치 작동] 수익(총손익 > 0)이 발생하는 파라미터 조합이 하나도 없습니다.") + print("🚨 확정 손실 파라미터를 라이브 봇에 적용할 수 없으므로 AI 자동 적용을 취소합니다.") + print("📌 DB 미적용. 기존 설정 유지.") + return False + + results = [ + {"total_pnl": t.get("total_pnl"), "win_rate": t.get("win_rate"), + "total_trades": t.get("total_trades"), "pf": t.get("pf")} + for t in profitable_top + ] + + rank = pick_rank_by_ai(results, "스캘핑") + if rank is None: + msg = "❌ Gemini가 순위를 선택하지 못했습니다. 수동으로 --apply N 을 사용하세요." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + # 같은 폴더의 param_search 모듈 사용 (HERE 가 sys.path 에 들어있음) + import param_search as _ps + + merged = profitable_top[rank - 1].get("merged_params") or profitable_top[rank - 1].get("params") + if not merged: + msg = "❌ 해당 순위에 merged_params/params가 없습니다." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + _ps._apply_to_db(merged) + logger.info(f"✅ 스캘핑 {rank}위 조합을 DB에 적용했습니다. (파일: {latest_path})") + print(f"✅ 스캘핑 {rank}위 조합을 DB에 적용했습니다.") + return True + + +def apply_ai_tail() -> bool: + """ + tail_param_result.json (또는 최근 tail_search_*.json) 을 읽어 results 중 + Gemini가 고른 순위를 DB에 적용. + Returns: 성공 여부. + """ + # 1) tail_param_result.json 우선 (신규 위치 → 구 위치) + path = _find_tail_result_json() + # 2) 없으면 tail_search_*.json 중 최신 + if not path: + path = _find_latest_json("tail_search_") + if not path: + msg = "❌ tail_param_result.json / tail_search_*.json 이 없습니다." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + print(f"📂 사용 파일: {path}") + + with open(path, "r", encoding="utf-8") as f: + data = json.load(f) + + results = data.get("results") or [] + if not results: + msg = "❌ JSON에 results 배열이 없습니다." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + # [안전장치] 양수(수익)인 조합만 철저히 필터링 + profitable_results = [r for r in results if r.get("total_pnl", 0) > 0] + if not profitable_results: + print("\n🚨 tail [안전장치 작동] 수익(총손익 > 0)이 발생하는 파라미터 조합이 하나도 없습니다.") + print("🚨 확정 손실 파라미터를 라이브 봇에 적용할 수 없으므로 AI 자동 적용을 취소합니다.") + print("📌 DB 미적용. 기존 설정 유지.") + return False + + list_for_ai = [ + {"total_pnl": r.get("total_pnl"), "win_rate": r.get("win_rate"), + "total_trades": r.get("total_trades"), "pf": r.get("pf", 0)} + for r in profitable_results + ] + + rank = pick_rank_by_ai(list_for_ai, "꼬리잡기") + if rank is None: + msg = "❌ Gemini가 순위를 선택하지 못했습니다. 수동으로 --apply N 을 사용하세요." + logger.error(msg) + print(msg) + print("📌 DB 미적용. 기존 설정 유지.") + return False + + import tail_param_search as _tps + + # AI가 고른 순위(profitable_results 기준)의 params를 DB에 직접 반영 + merged = profitable_results[rank - 1].get("params") + _tps.apply_params_to_db(merged) + logger.info(f"✅ 꼬리잡기 {rank}위 조합을 DB에 적용했습니다. (파일: {path})") + print(f"✅ 꼬리잡기 {rank}위 조합을 DB에 적용했습니다.") + return True diff --git a/kis_trader/backtest/param_search.py b/kis_trader/backtest/param_search.py new file mode 100644 index 0000000..78e85bd --- /dev/null +++ b/kis_trader/backtest/param_search.py @@ -0,0 +1,835 @@ +#!/usr/bin/env python3 +""" +kis_trader/backtest/param_search.py — 스캘핑 백테스트 파라미터 자동 탐색 (Grid Search) +====================================================================================== +실행: + cd /home/hoon/kis_bot + python3 kis_trader/backtest/param_search.py + # 또는 패키지 모듈로 + python3 -m kis_trader.backtest.param_search --mode coarse --apply-ai + +옵션: + --start 시작일 (기본: 오늘-7일) + --end 종료일 (기본: 오늘) + --mode 탐색 모드: coarse(기본) / fine / full / wide + wide = 급등·최소가격·방어ON/OFF 등 방어축을 넓게(조합 수 큼) + --top 상위 N개 출력 (기본: 5000) + --min_trades 최소 거래 건수 필터 (기본: 1) + --apply 결과 N위 조합을 DB에 자동 적용 (기본: False, 지정하면 N 생략 시 1) + --apply-ai Gemini 로 수익·승률 기준 조합 하나 선택해서 DB 자동 적용 + +설명: + 웹 API를 거치지 않고 scalping_engine 을 직접 호출하여 속도를 극대화했습니다. + 피뢰침 방지(high_chase_thr)·급등주 필터(max_daily_chg)·방어필터 ON/OFF 도 그리드에 포함됩니다. + +위치 이관 (2026-04 기준): + backtest_scalping/param_search.py → kis_trader/backtest/param_search.py + - ROOT = kis_bot 프로젝트 루트 (__file__ 기준 3단계 위) + - 결과 저장: kis_trader/backtest/results/ (구 backtest_scalping/results 는 그대로 유지) + - scalping_engine / database.TradeDB 는 ROOT 에서 그대로 임포트 +""" + +import sys, os, json, time, argparse, signal +import heapq +from datetime import datetime, timedelta +from itertools import product +from concurrent.futures import ProcessPoolExecutor, as_completed +from typing import Optional, List, Dict, Any, Tuple + +MIN_WIN_RATE_DEFAULT = 52.0 + + +# ───────────────────────────────────────────────────────────────────────────── +# 멀티프로세싱 안전장치 — 부모(마스터)가 죽으면 워커도 자동으로 함께 종료 +# ───────────────────────────────────────────────────────────────────────────── +# Linux 의 `PR_SET_PDEATHSIG` 를 이용해 "부모가 죽으면 이 시그널을 내게 보내라" +# 고 커널에 요청. Ctrl+C / SIGTERM / SIGKILL 어느 경로로 부모가 사라져도 워커가 +# 고아(PPID=1) 로 남지 않는다. +def _worker_init() -> None: + """ProcessPoolExecutor initializer — 워커 생성 직후 한 번 호출된다.""" + try: + if sys.platform.startswith("linux"): + import ctypes + PR_SET_PDEATHSIG = 1 + libc = ctypes.CDLL("libc.so.6", use_errno=True) + libc.prctl(PR_SET_PDEATHSIG, signal.SIGTERM, 0, 0, 0) + except Exception: + pass # 비 Linux 환경이거나 prctl 불가 시 무시 (치명적이지 않음) + # 워커 프로세스에서는 부모의 KeyboardInterrupt 에 간섭하지 않도록 SIGINT 무시. + # (부모가 시그널을 받아 shutdown 하는 동안 워커가 중간에 예외로 죽으면 + # 결과 수집 로직이 혼잡해짐) + try: + signal.signal(signal.SIGINT, signal.SIG_IGN) + except Exception: + pass + +# kis_bot 루트를 경로에 추가 (스크립트·패키지 실행 모두 대응) +HERE = os.path.dirname(os.path.abspath(__file__)) +ROOT = os.path.dirname(os.path.dirname(HERE)) +if ROOT not in sys.path: + sys.path.insert(0, ROOT) +if HERE not in sys.path: + sys.path.insert(0, HERE) + +import logging +logging.getLogger("TradeDB").setLevel(logging.WARNING) # 반복 초기화 로그 억제 + +from database import TradeDB +import scalping_engine as se + +# ────────────────────────────────────────────────────────────────────────────── +# 스캘핑 기본값 = 엔진에서 DB 로드 (백테스트 API와 동일 단일 소스, 실매매와 동기화) +# ────────────────────────────────────────────────────────────────────────────── + +def _fixed_defaults(): + """엔진 get_scalping_defaults_from_db() 사용. UI/파람서치용으로 %/비율 변환.""" + _d = se.get_scalping_defaults_from_db() + return { + "rsi_period": _d["rsi_period"], + "rsi_overbought": _d.get("rsi_overbought", 75.0), # 과열 차단 (그리드 탐색 제외, 고정값) + "slot_money": _d["slot_money"], + "vol_mult": _d["vol_mult"], + "trail_trigger": _d["trail_trigger"] * 100, # % 단위 + "trail_stop": _d["trail_stop"] * 100, # % 단위 + "cooldown_min": _d["cooldown_min"], + "time_start_hm": _d["time_start_hm"], + "time_end_hm": _d["time_end_hm"], + "max_daily": _d["max_daily"], + "fee_rate": _d["fee_rate"] * 100, # % 단위 + "sell_tax": _d["sell_tax"] * 100, # % 단위 + # 방어로직 + "high_chase_thr": _d["high_chase_thr"], # 비율 (0.96) + "max_daily_chg": _d["max_daily_chg"], # % 단위 + "min_price": _d["min_price"], + "max_loss_krw": _d["max_loss_krw"], + "min_margin": _d["min_margin"] * 100, # % 단위 + "use_defense_filters": _d.get("use_defense_filters", True), + } + +# RSI_OVERSOLD별 JSON 저장 개수 (한 RSI에 치중되지 않도록 균등 분배) +PER_RSI_JSON = 20 + +# ────────────────────────────────────────────────────────────────────────────── +# 결과 디렉터리 (신규 위치 우선, 구 경로도 계속 조회 가능) +# ────────────────────────────────────────────────────────────────────────────── + +def _results_dir_for_write() -> str: + """새로 저장할 결과는 kis_trader/backtest/results/ 에 둔다.""" + d = os.path.join(HERE, "results") + os.makedirs(d, exist_ok=True) + return d + + +def _results_dirs_for_read() -> List[str]: + """읽기용 디렉터리: 신규 → 구 순서.""" + return [ + os.path.join(HERE, "results"), + os.path.join(ROOT, "backtest_scalping", "results"), + ] + + +def _latest_json(prefix: str) -> Optional[str]: + """읽기용 디렉터리에서 prefix 로 시작하는 가장 최근 JSON 경로 반환.""" + best_path, best_mtime = None, -1.0 + for d in _results_dirs_for_read(): + if not os.path.isdir(d): + continue + for f in os.listdir(d): + if not (f.startswith(prefix) and f.endswith(".json")): + continue + p = os.path.join(d, f) + try: + m = os.path.getmtime(p) + except OSError: + continue + if m > best_mtime: + best_mtime = m + best_path = p + return best_path + +# ────────────────────────────────────────────────────────────────────────────── +# 파라미터 그리드 (min_price 등은 DB 앵커 기반 — 고정 1값만 쓰지 않음) +# ────────────────────────────────────────────────────────────────────────────── + +def _min_price_grid(): + """DB get_scalping_defaults 의 min_price 를 포함한 최소가격 스윕 (저·중·고가 후보).""" + mp = int(_fixed_defaults()["min_price"]) + return sorted(set([500, 1000, max(500, mp), min(mp + 5000, 200000), 50000, 100000])) + + +def _scalp_grids(): + """탐색 모드별 그리드. 호출 시점 DB 기본값으로 min_price 티어가 잡힘.""" + mp_list = _min_price_grid() + # fine: 조합 폭주 완화 — min_price 는 앵커·고가 두 티어 + 전 구간 5만원 + fd_mp = int(_fixed_defaults()["min_price"]) + min_price_fine = sorted(set([1000, fd_mp, 50000])) + return { + # 빠른 1차 — 트레일·손익·RSI 핵심 축 + 방어 ON/OFF. + # ⚠️ trail_trigger=0 포함 = "트레일 OFF" 경로. 이 경로에서는 tp_pct 가 + # 실제 상한선으로 작동하므로 tp 값 탐색이 의미 있어진다. + # 조합 수: 6 × 3 × 4 × 3 × 3 × 2 × 2 × 1 × 1 × 2 × 1 × 1 = 5,184 + "coarse": { + "rsi_oversold": [15, 18, 21, 24, 26, 28], # 저·중·고 RSI 대표 + "sl_pct": [0.8, 1.2, 1.5], # 보수·중·공격 + "tp_pct": [1.5, 2.5, 3.5, 5.0], # 트레일 OFF 시 상한선 + "drop_rate": [1.0, 1.5, 2.0], # 얕은·중·깊은 눌림 + "trail_trigger": [0, 0.5, 1.0], # 0 = 트레일 OFF (tp_pct 의미 있음) + "trail_stop": [0.3, 0.5], # 추적 폭 (trigger=0 이면 무의미하지만 무해) + "high_chase_thr": [0.96, 1.0], # 피뢰침 보수 / OFF + "max_daily_chg": [28.0], # 상승장 대응 (coarse 에서는 고정) + "min_price": [1000], # coarse 에서는 저가 고정 + "use_defense_filters": [True, False], # 방어 ON / OFF + "max_loss_krw": [200000], # 중간값 고정 (wide 에서 세분화) + "min_drop_pct_for_loss_cut": [0.015], # 1.5% 고정 (wide 에서 세분화) + }, + # 세밀 2차 (트레일·쿨다운 포함 + 최소가격·방어) + "fine": { + "rsi_oversold": [15, 17, 19, 21, 25], + "sl_pct": [0.8, 1.0, 1.2, 1.5], + "tp_pct": [1.5, 2.0, 2.5, 3.0, 3.5], + "drop_rate": [1.0, 1.5, 2.0], + "trail_trigger": [0, 0.5, 0.8], + "trail_stop": [0.3, 0.4, 0.5], + "cooldown_min": [5, 10], + "high_chase_thr": [0.96, 0.98], + "max_daily_chg": [15.0, 20.0, 25.0], + "min_price": min_price_fine, + "use_defense_filters": [True, False], + "max_loss_krw": [150000, 200000, 300000], + "min_drop_pct_for_loss_cut": [0.01, 0.015, 0.02], + }, + # 전체 탐색 (매우 오래 걸림) + "full": { + "rsi_oversold": [15, 17, 20, 25], + "sl_pct": [0.8, 1.0, 1.2, 1.5, 2.0], + "tp_pct": [1.5, 2.0, 2.5, 3.0, 4.0], + "drop_rate": [0.8, 1.0, 1.5, 2.0, 2.5], + "trail_trigger": [0, 0.5, 0.8, 1.0], + "trail_stop": [0.3, 0.4, 0.5, 0.8], + "cooldown_min": [5, 10], + "high_chase_thr": [0.96, 0.98, 1.0], + "max_daily_chg": [15.0, 20.0, 30.0], + "min_price": mp_list, + "use_defense_filters": [True, False], + "max_loss_krw": [100000, 200000, 300000], + "min_drop_pct_for_loss_cut": [0.01, 0.015, 0.02, 0.025], + }, + # 방어축 광범위 (RSI·슬립은 coarse 보다 약간 줄이고 급등·min_price·방어를 넓게) + "wide": { + "rsi_oversold": [15, 17, 19, 21, 23, 25, 28], + "sl_pct": [0.8, 1.0, 1.2, 1.5], + "tp_pct": [1.5, 2.0, 2.5, 3.0], + "drop_rate": [1.0, 1.5, 2.0, 2.5], + "high_chase_thr": [0.96, 0.98, 1.0], + "max_daily_chg": [8.0, 12.0, 16.0, 20.0, 25.0, 30.0, 40.0], + "min_price": mp_list, + "use_defense_filters": [True, False], + "max_loss_krw": [100000, 200000, 300000], + "min_drop_pct_for_loss_cut": [0.01, 0.015, 0.02], + }, + } + +def _get_scalp_field_map(): + """스캘핑 파라미터 → env_config 컬럼 매핑 (apply / db_snapshot 공용). 웹·봇과 동일 키 저장.""" + return { + "rsi_oversold": ("SCALP_RSI_OVERSOLD", lambda v: str(int(v))), + "rsi_overbought": ("SCALP_RSI_OVERBOUGHT", lambda v: str(int(v))), + "sl_pct": ("SCALP_STOP_LOSS_PCT", lambda v: str(float(v) / 100)), + "tp_pct": ("SCALP_TAKE_PROFIT_PCT", lambda v: str(float(v) / 100)), + "drop_rate": ("SCALP_MIN_DROP_RATE", lambda v: str(float(v) / 100)), + "trail_trigger": ("SCALP_ATR_UP_MULT", lambda v: str(float(v))), + "trail_stop": ("SCALP_ATR_DOWN_MULT", lambda v: str(float(v))), + "cooldown_min": ("SCALP_COOLDOWN_SEC", lambda v: str(int(float(v)) * 60)), + # 스캘핑 전용 방어로직 (꼬리잡기와 값 분리) + "high_chase_thr": ("SCALP_HIGH_PRICE_CHASE_THRESHOLD", lambda v: str(float(v))), + "max_daily_chg": ("SCALP_MAX_DAILY_CHANGE_PCT", lambda v: str(float(v))), + "min_price": ("SCALP_MIN_PRICE", lambda v: str(int(float(v)))), + "max_loss_krw": ("SCALP_MAX_LOSS_PER_TRADE_KRW", lambda v: str(int(float(v)))), + "min_drop_pct_for_loss_cut": ("SCALP_MIN_DROP_PCT_FOR_LOSS_CUT", lambda v: str(round(float(v)*100, 2)) if float(v) < 1 else str(round(float(v), 2))), # % (1.5) + "min_margin": ("SCALP_MIN_PROFIT_PCT", lambda v: str(float(v))), # % 단위 (0.2 등) + "use_defense_filters": ("SCALP_USE_DEFENSE_FILTERS", lambda v: "true" if v else "false"), + } + + +def _params_to_db_snapshot(params: dict) -> dict: + """그리드 params(표시 단위) → env_config 컬럼명:값 문자열 dict.""" + field_map = _get_scalp_field_map() + return { + db_col: fmt(params[param_k]) + for param_k, (db_col, fmt) in field_map.items() + if param_k in params + } + + +def _apply_from_latest_json(rank: int): + """최근 search_*.json에서 rank번째(1-based) 항목의 merged_params를 DB에 적용.""" + latest_path = _latest_json("search_") + if not latest_path: + print("⚠️ search_*.json 파일이 없습니다 (신규/구 경로 모두).") + return + with open(latest_path, "r", encoding="utf-8") as f: + data = json.load(f) + top = data.get("top") or [] + if rank < 1 or rank > len(top): + print(f"⚠️ 순번 {rank}이(가) 유효하지 않습니다. (1~{len(top)})") + return + item = top[rank - 1] + merged = item.get("merged_params") + if not merged: + merged = item.get("params") + if not merged: + print("⚠️ 해당 항목에 merged_params/params가 없습니다.") + return + if item.get("total_pnl", 0) <= 0: + print(f"⚠️ {rank}번째 결과는 총손익 ≤ 0 (조건 미충족). DB 미적용. 기존 설정 유지.") + return + print(f"📂 {latest_path} 에서 {rank}번째 적용합니다.") + _apply_to_db(merged) + + +def _ui_to_engine_params(ui_params: dict) -> dict: + """UI 표시용(% 등) → 엔진용 비율 단위. 워커에서 공통 사용.""" + engine_params = dict(ui_params) + engine_params["sl_pct"] = ui_params["sl_pct"] / 100 + engine_params["tp_pct"] = ui_params["tp_pct"] / 100 + engine_params["drop_rate"] = ui_params["drop_rate"] / 100 + engine_params["trail_trigger"] = ui_params["trail_trigger"] / 100 + engine_params["trail_stop"] = ui_params["trail_stop"] / 100 + engine_params["fee_rate"] = ui_params["fee_rate"] / 100 + engine_params["sell_tax"] = ui_params["sell_tax"] / 100 + engine_params["min_margin"] = ui_params.get("min_margin", 0.2) / 100 + if "use_defense_filters" in ui_params: + engine_params["use_defense_filters"] = bool(ui_params["use_defense_filters"]) + + # 👇 [핵심] 손절 퍼센트에 맞춰 1회 투자금(slot_money) 자동 계산 (봇과 동일 공식) + # 5억 고정이면 수수료만으로 손절컷 걸려 좋은 조합(RSI 17 등)이 버려짐 → max_loss_krw/sl_pct 로 보정 + max_loss = engine_params.get("max_loss_krw", 200000) + if engine_params["sl_pct"] > 0 and max_loss > 0: + engine_params["slot_money"] = max_loss / engine_params["sl_pct"] + + return engine_params + +def _evaluate_scalp_chunk( + param_chunk: List[Dict[str, Any]], + base_fixed: Dict[str, Any], + keys: List[str], + codes_candles: Dict[str, List[Dict]], + min_trades: int, + min_win_rate: float, + top_n: int, + universe_by_slot: Optional[Dict[str, List[str]]] = None, +) -> List[Tuple[float, float, int, Dict]]: + """워커: 청크 내 조합 평가 후 승률→수익 순 상위 top_n개만 힙으로 반환. + universe_by_slot이 있으면 실매매와 동일하게 5분마다 후보 종목만 매수 검사.""" + local_heap: List[Tuple[float, float, int, Dict]] = [] + for combo in param_chunk: + ui_params = dict(base_fixed) + ui_params.update(combo) + engine_params = _ui_to_engine_params(ui_params) + trades = se.run_scalping_backtest( + codes_candles, engine_params, universe_by_slot=universe_by_slot + ) + total_trades = len(trades) + if total_trades < min_trades: + continue + total_pnl = sum(t["pnl"] for t in trades) + wins = sum(1 for t in trades if t["pnl"] > 0) + win_rate = (wins / total_trades * 100) if total_trades else 0 + win_pnl = sum(t["pnl"] for t in trades if t["pnl"] > 0) + loss_pnl = sum(t["pnl"] for t in trades if t["pnl"] < 0) + pf = round(abs(win_pnl / loss_pnl), 2) if loss_pnl != 0 else 9999.0 + avg_hold = (sum(t["hold_min"] for t in trades) / total_trades) if total_trades else 0 + peak, mdd, cum = 0.0, 0.0, 0.0 + for t in trades: + cum += t["pnl"] + if cum > peak: peak = cum + dd = peak - cum + if dd > mdd: mdd = dd + # merged_params = 실제 엔진에 넘긴 값 반영 (slot_money는 손절%에 맞춰 계산된 값 저장) + merged = dict(ui_params) + if "slot_money" in engine_params: + merged["slot_money"] = engine_params["slot_money"] + result_pkg = { + "params": {k: ui_params[k] for k in keys}, + "total_pnl": int(total_pnl), + "win_rate": round(win_rate, 2), + "total_trades": total_trades, + "pf": round(pf, 2), + "avg_hold": round(avg_hold, 1), + "mdd": round(mdd), + "merged_params": merged, + } + if len(local_heap) < top_n: + heapq.heappush(local_heap, (win_rate, total_pnl, id(result_pkg), result_pkg)) + else: + heapq.heappushpop(local_heap, (win_rate, total_pnl, id(result_pkg), result_pkg)) + return local_heap + + +def _load_candles_for_search(start: str, end: str, rsi_period: int) -> dict: + """엔진 직접 타격을 위해 DB에서 캔들을 한 번만 메모리에 로드합니다.""" + db = TradeDB() + codes_candles = {} + try: + start_key = (start.replace("-", "") + "0000") if start else "20260101" + end_key = (end.replace("-", "") + "2359") if end else "99991231" + + codes_raw = db.conn.execute( + "SELECT DISTINCT code FROM ws_candles WHERE timeframe=1 " + "AND candle_time >= %s AND candle_time <= %s ORDER BY code", + [start_key, end_key] + ).fetchall() + codes = [r["code"] for r in codes_raw] + + for code in codes: + rows = db.conn.execute( + "SELECT candle_time, open, high, low, close, volume " + "FROM ws_candles " + "WHERE timeframe=1 AND code=%s " + "AND candle_time >= %s AND candle_time <= %s " + "AND is_confirmed=1 " + "ORDER BY candle_time ASC", + [code, start_key, end_key] + ).fetchall() + if len(rows) < rsi_period + 5: + continue + codes_candles[code] = [dict(r) for r in rows] + finally: + db.close() + return codes_candles + + +def run_search(start: str, end: str, mode: str, top_n: int, + min_trades: int, min_win_rate: float, apply_rank: Optional[int], from_file_only: bool, + sort_by: str = "pnl", use_fallback_universe: bool = False) -> bool: + """탐색 실행. 결과가 있어서 JSON 저장까지 했으면 True, 조건 만족 조합 없이 조기 return 시 False.""" + if from_file_only and apply_rank is not None and apply_rank >= 1: + _apply_from_latest_json(apply_rank) + return True + + grid = _scalp_grids()[mode] + keys = list(grid.keys()) + combos = list(product(*[grid[k] for k in keys])) + total = len(combos) + print(f"\n[{mode.upper()} 모드] 탐색 조합: {total:,}개 | 기간: {start} ~ {end}") + print(f"📌 1위 정렬 기준: {'총손익 최대 (수익 나는 조합 우선)' if sort_by == 'pnl' else '승률 최대'}") + print("=" * 70) + + results = [] + t0 = time.time() + + FIXED_DEFAULTS = _fixed_defaults() + + # 캔들 데이터를 메모리에 1회 로드 (워커에 전달) + print("⏳ DB에서 캔들 데이터를 메모리로 불러오는 중...") + codes_candles = _load_candles_for_search(start, end, FIXED_DEFAULTS.get("rsi_period", 3)) + print(f"✅ 데이터 로드 완료: {len(codes_candles)}종목") + + # 유니버스: --fallback-universe 이면 이력 무시하고 시뮬레이션만 사용 (조합별 거래 수 확대) + # 신봇 기준: + # * 실매매는 10초 REST 폴링 + 변동 tick 마다 초단위 event_time 으로 저장. + # * 백테스트는 TradeDBExt.get_universe_by_candle_time("SCALP", ...) 로 + # 1분 캔들 시각 키를 가진 dict 로 받아 엔진에 그대로 주입. + # * fallback 시뮬레이션은 1분봉 근사 점수 기반 5분 버킷팅 (과거 호환). + universe_by_slot = None + fallback_sim_interval = 5 # --fallback-universe 전용 시뮬레이션 버킷 (분) + start_ymd = start.replace("-", "") if start else "" + end_ymd = end.replace("-", "") if end else "" + if use_fallback_universe: + print("📌 [유니버스] --fallback-universe: 저장 이력 무시 → 시뮬레이션 유니버스 (조합별 거래 수 확대)") + elif start_ymd and end_ymd: + try: + # 신봇 이력 (초단위 event_time) → 1분 캔들 시각으로 리샘플링 + from kis_trader.database.db_manager import get_db as _get_ext_db # type: ignore + _ext = _get_ext_db() + history = _ext.get_universe_by_candle_time( + strategy_id="SCALP", + start_ymd=start_ymd, + end_ymd=end_ymd, + ) + if history: + universe_by_slot = history + n_bins = len(history) + avg = sum(len(v) for v in history.values()) / max(1, n_bins) + print( + f"✅ 유니버스: 신봇 이력 사용 (event_time → 1분 캔들 리샘플링) | " + f"{n_bins:,}분봉 · 평균 {avg:.1f}종목 (SCALP)" + ) + print( + "📌 [유니버스] 이력만 쓰면 매수 기회 적어 거래 0~1건 나올 수 있음. " + "조합 많을 때는 --fallback-universe 권장." + ) + else: + universe_by_slot = None + except Exception as _e: + logging.getLogger("param_search").debug( + "신봇 유니버스 이력 조회 스킵: %s", _e, + ) + universe_by_slot = None + # 엔진이 쓸 슬롯 단위 결정: + # * 신봇 이력 경로 → 1분봉 키(=passthrough) + # * 시뮬 fallback → fallback_sim_interval 분 버킷 + engine_scan_interval_min = 1 + if universe_by_slot is None: + universe_top_n = int(os.environ.get("UPDATE_UNIVERSE_TOP_N", "20")) + universe_min_score = float(os.environ.get("UPDATE_UNIVERSE_MIN_SCORE", "4.0")) + universe_by_slot = se.build_universe_simulation( + codes_candles, + top_n=universe_top_n, + min_score=universe_min_score, + scan_interval_min=fallback_sim_interval, + ) + engine_scan_interval_min = fallback_sim_interval + n_slots = len(universe_by_slot) + avg_per_slot = sum(len(c) for c in universe_by_slot.values()) / max(1, n_slots) + print( + f"✅ 유니버스: 시뮬레이션 사용 (이력 없음) | " + f"{fallback_sim_interval}분 슬롯 {n_slots}개 · 슬롯당 평균 {avg_per_slot:.1f}종목" + ) + print("📌 [유니버스] 서치는 '시뮬레이션 유니버스' 기준입니다. (신봇 이력 없음)") + + # 엔진에 슬롯 단위 주입 (engine._slot_key 가 이 값으로 캔들 시각 정규화) + FIXED_DEFAULTS["scan_interval_min"] = engine_scan_interval_min + + # 조합을 딕셔너리 리스트로 변환 후 청크 분할 + dict_combos = [dict(zip(keys, c)) for c in combos] + n_cpu = os.cpu_count() or 4 + # 스캘핑·꼬리잡기 두 서치를 동시에 돌려도 합산 80% 가 되도록 40% 로 유지. + # (단독 실행 시 CPU 절반 놀지만, 하루 1회 자동 최적화 파이프라인 보호가 우선) + max_workers = max(1, int(n_cpu * 0.4)) + + # [핵심 수정] 청크 크기를 최대 300개로 제한하여 진행률 표시가 실시간으로 업데이트되도록 함 + chunk_size = min(300, max(50, total // (max_workers * 4))) + chunks = [dict_combos[i:i + chunk_size] for i in range(0, len(dict_combos), chunk_size)] + + print(f"⚙️ 멀티프로세싱 시작 (코어: {n_cpu}, 워커: {max_workers} ≈ 80%%) | 청크: {len(chunks):,}개") + + start_time = time.time() + global_heap: List[Tuple[float, float, Tuple[int, int], Dict]] = [] + + # initializer=_worker_init 로 워커에게 PR_SET_PDEATHSIG 설정 + # → 부모가 SIGKILL·SIGTERM 어느 경로로 죽어도 워커가 고아로 남지 않음. + with ProcessPoolExecutor(max_workers=max_workers, initializer=_worker_init) as executor: + futures = { + executor.submit( + _evaluate_scalp_chunk, chunk, FIXED_DEFAULTS, keys, codes_candles, + min_trades, min_win_rate, top_n, universe_by_slot + ): chunk for chunk in chunks + } + + combos_per_chunk = chunk_size + print(f"⏳ 청크 처리 중… (청크당 최대 {combos_per_chunk:,}개 조합, 완료되는 대로 진행률·ETA 출력)") + + processed = 0 + use_carriage_return = sys.stdout.isatty() + + for future in as_completed(futures): + processed += 1 + local_results = future.result() + + for i, item in enumerate(local_results): + wr, pnl, _, result_pkg = item + # sort_by pnl: 1위 = 총손익 최대 (－pnl 로 넣어서 min-heap에서 수익 큰 게 뒤로) + # sort_by win_rate: 1위 = 승률 최대 (기존) + if sort_by == "pnl": + unique_item = (-pnl, wr, (processed, i), result_pkg) + else: + unique_item = (wr, pnl, (processed, i), result_pkg) + if len(global_heap) < top_n: + heapq.heappush(global_heap, unique_item) + else: + heapq.heappushpop(global_heap, unique_item) + + # ── 정확한 ETA(예상 남은 시간) 계산 로직 ── + progress = (processed / len(chunks)) * 100 + elapsed_so_far = time.time() - start_time + + # 누적 소요 시간을 처리된 청크 개수로 나누어 1청크당 평균 처리 시간 도출 + avg_time_per_chunk = elapsed_so_far / processed + remaining_chunks = len(chunks) - processed + eta_sec = avg_time_per_chunk * remaining_chunks + + # 초 단위 포맷팅 (시간/분/초) + eta_m, eta_s = divmod(int(eta_sec), 60) + eta_h, eta_m = divmod(eta_m, 60) + if eta_h > 0: + eta_str = f"{eta_h}시간 {eta_m}분 {eta_s}초" + elif eta_m > 0: + eta_str = f"{eta_m}분 {eta_s}초" + else: + eta_str = f"{eta_s}초" + + elapsed_m, elapsed_s = divmod(int(elapsed_so_far), 60) + + eta_msg = f" | 경과: {elapsed_m}분 {elapsed_s}초 | 남은시간: {eta_str}" + line = f"⏳ 진행률: {progress:.1f}% ({processed:,}/{len(chunks):,} 청크 완료){eta_msg}" + + if use_carriage_return: + print(f"\r{line}", end="", flush=True) + else: + print(line, flush=True) + + if use_carriage_return: + print(flush=True) # 줄바꿈으로 진행률 줄 마무리 + + elapsed = time.time() - start_time + + if not global_heap: + print("⚠️ 조건을 만족하는 조합이 없습니다. (min_trades를 낮추거나 기간을 늘려보세요.)") + print("📌 DB 미적용. 기존 설정 유지.") + return False + + # 힙: sort_by pnl → (-pnl, wr) 최소힙 → heappop 순이 이미 [best pnl, ..., worst] 이므로 reverse 금지 + # sort_by win_rate → (wr, pnl) 최소힙 → heappop 순은 [low wr, ..., high wr] 이므로 reverse 필요 + results = [heapq.heappop(global_heap)[3] for _ in range(len(global_heap))] + if sort_by == "win_rate": + results.reverse() + + # RSI_OVERSOLD 기준으로 균등 분배 → JSON에 RSI별 PER_RSI_JSON개씩 (한 RSI에 치중 방지) + if "rsi_oversold" in keys and results: + rsi_vals = sorted(set(r["params"]["rsi_oversold"] for r in results)) + by_rsi: Dict[Any, List[Dict]] = {} + for r in results: + v = r["params"]["rsi_oversold"] + if v not in by_rsi: + by_rsi[v] = [] + if len(by_rsi[v]) < PER_RSI_JSON: + by_rsi[v].append(r) + results = [] + for v in rsi_vals: + results.extend(by_rsi.get(v, [])) + # 손익 순 유지, 동점이면 RSI 낮은 쪽(과매도 강함) 우선 + results.sort(key=lambda r: (-r["total_pnl"], r["params"]["rsi_oversold"], -r["win_rate"])) + print(f"✅ RSI별 상위 {PER_RSI_JSON}개씩 보장 → {len(results)}건 (총 {len(rsi_vals)}가지 RSI)") + + # 승률 min_win_rate 이상만 우선; 없으면 차악 + filtered = [r for r in results if r["win_rate"] >= min_win_rate] + if filtered: + results = filtered + order_msg = "수익→승률 순" if sort_by == "pnl" else "승률→수익 순" + print(f"✅ 승률 {min_win_rate}% 이상 {len(results)}건 중 {order_msg} 상위 사용") + else: + print(f"⚠️ 승률 {min_win_rate}% 이상 없음 → 차악(상위) 적용") + + # 손익 마이너스인 조합 제외 (수익 나는 것만 표시·저장) + profitable = [r for r in results if r["total_pnl"] > 0] + if profitable: + results = profitable + print(f"✅ 총손익 플러스만 사용: {len(results)}건 (손실 조합 제외)") + else: + print(f"⚠️ 수익 나는 조합 없음 → 손실 최소 순으로 표시") + + print(f"\n완료: {elapsed:.1f}초 | 유효 결과: {len(results)}건") + + # ── 결과 출력 ── + hdr_keys = [k for k in keys] + col_w = max(len(k) for k in hdr_keys) + 2 + + order_label = "수익" if sort_by == "pnl" else "승률" + print(f"\n{'='*90}") + print(f" 🏆 {order_label} TOP {min(top_n, len(results))} (투자금 1,000,000원 기준)") + print(f"{'='*90}") + + # 헤더 + hdr = " ".join(f"{k:>{col_w}}" for k in hdr_keys) + print(f"{hdr} | {'손익(원)':>12} {'승률':>6} {'거래':>5} {'PF':>5} {'보유':>6}") + print("-" * (len(hdr) + 55)) + + for r in results[:top_n]: + p = r["params"] + row = " ".join( + (f"{str(p[k]):>{col_w}}" if isinstance(p[k], bool) else f"{p[k]:>{col_w}.4g}") + for k in hdr_keys + ) + print(f"{row} | {r['total_pnl']:>+12,.0f} {r['win_rate']:>5.1f}% " + f"{r['total_trades']:>5} {r['pf']:>5.2f} {r['avg_hold']:>5.1f}분") + + best = results[0] + bp = best["params"] + print(f""" +╔══════════════════════════════════════════╗ +║ 🏆 1위 최적 파라미터 ║ +╠══════════════════════════════════════════╣""") + + _disp_map = { + "rsi_oversold": "SCALP_RSI_OVERSOLD", + "rsi_overbought": "SCALP_RSI_OVERBOUGHT", + "sl_pct": "SCALP_STOP_LOSS_PCT (÷100)", + "tp_pct": "SCALP_TAKE_PROFIT_PCT(÷100)", + "drop_rate": "SCALP_MIN_DROP_RATE (÷100)", + "trail_trigger": "SCALP_ATR_UP_MULT (트레일발동%)", + "trail_stop": "SCALP_ATR_DOWN_MULT(트레일추적%)", + "cooldown_min": "SCALP_COOLDOWN_SEC(÷60=분)", + "high_chase_thr": "HIGH_PRICE_CHASE_THRESHOLD", + "max_daily_chg": "MAX_DAILY_CHANGE_PCT", + "max_loss_krw": "MAX_LOSS_PER_TRADE_KRW(원)", + "min_price": "SCALP_MIN_PRICE(원)", + "use_defense_filters": "SCALP_USE_DEFENSE_FILTERS", + } + + for k, v in bp.items(): + label = _disp_map.get(k, k) + print(f"║ {label:<30s} : {v!s:>6} ║") + print(f"""╠══════════════════════════════════════════╣ +║ 총 손익 : {best['total_pnl']:>+12,.0f} 원 ║ +║ 승률 : {best['win_rate']:>6.1f}% ║ +║ 총 거래 : {best['total_trades']:>5} 건 ║ +║ Profit Factor : {best['pf']:>5.2f} ║ +║ 평균 보유 : {best['avg_hold']:>5.1f} 분 ║ +║ 최대 낙폭(MDD): {best['mdd']:>12,.0f} 원 ║ +╚══════════════════════════════════════════╝""") + + # JSON 저장용: RSI별 200개씩 모은 전체 리스트 (콘솔 TOP은 여전히 top_n만 출력) + top_list = [] + for idx, r in enumerate(results): + p = r["params"] + merged = r.get("merged_params", p) + top_list.append({ + "rank": idx + 1, + "params": p, + "merged_params": merged, + "db_snapshot": _params_to_db_snapshot(merged), + "total_pnl": r["total_pnl"], + "win_rate": r["win_rate"], + "total_trades": r["total_trades"], + "pf": r["pf"], + "avg_hold": r["avg_hold"], + "mdd": r["mdd"], + }) + + # ── JSON 결과 저장 (kis_trader/backtest/results/) ── + # 권한 문제 대비: 쓰기 실패 시 사용자 홈(~/.kis_bot_search_results/)으로 폴백. + out_dir = _results_dir_for_write() + ts = datetime.now().strftime("%Y%m%d_%H%M%S") + out_path = os.path.join(out_dir, f"search_{mode}_{ts}.json") + payload = { + "mode": mode, + "start": start, + "end": end, + "min_win_rate": min_win_rate, + "top": top_list, + } + try: + with open(out_path, "w", encoding="utf-8") as f: + json.dump(payload, f, ensure_ascii=False, indent=2) + print(f"\n💾 결과 저장: {out_path}") + except (PermissionError, OSError) as _e: + fallback_dir = os.path.join(os.path.expanduser("~"), ".kis_bot_search_results") + os.makedirs(fallback_dir, exist_ok=True) + out_path = os.path.join(fallback_dir, f"search_{mode}_{ts}.json") + with open(out_path, "w", encoding="utf-8") as f: + json.dump(payload, f, ensure_ascii=False, indent=2) + print(f"\n⚠️ 기본 경로({out_dir}) 쓰기 실패({type(_e).__name__}). 폴백 저장: {out_path}") + print(f" 권한 복구: sudo chown -R $USER:$USER {out_dir}") + + # ── DB 자동 적용 (만족 조건: 총손익 > 0. 미충족 시 기존 설정 유지) ── + if apply_rank is not None and apply_rank >= 1 and apply_rank <= len(top_list): + cand = top_list[apply_rank - 1] + if cand.get("total_pnl", 0) <= 0: + print(f"⚠️ {apply_rank}번째 결과는 총손익 ≤ 0 (조건 미충족). DB 미적용. 기존 설정 유지.") + else: + _apply_to_db(cand["merged_params"]) + print(f"✅ {apply_rank}번째 결과 적용 완료") + + return True + + +def _apply_to_db(best_params: dict): + """1위 파라미터를 env_config DB에 자동 반영.""" + field_map = _get_scalp_field_map() + + sets = [] + vals = [] + for param_k, val in best_params.items(): + if param_k not in field_map: + continue + db_col, fmt = field_map[param_k] + sets.append(f"{db_col} = %s") + vals.append(fmt(val)) + + if not sets: + print("DB 적용할 파라미터가 없습니다.") + return + + db = TradeDB() + db.conn.execute(f"UPDATE env_config SET {', '.join(sets)}", vals) + db.conn.commit() + db.close() + print("\n✅ DB env_config 자동 적용 완료:") + for param_k, val in best_params.items(): + if param_k in field_map: + db_col, fmt = field_map[param_k] + print(f" {db_col:<30s} = {fmt(val)}") + + +# ────────────────────────────────────────────────────────────────────────────── +# CLI 진입점 +# ────────────────────────────────────────────────────────────────────────────── + +def main(): + today = datetime.now().strftime("%Y-%m-%d") + week_ago = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d") + + parser = argparse.ArgumentParser(description="스캘핑 백테스트 파라미터 Grid Search") + parser.add_argument("--start", default=week_ago, help="시작일 (YYYY-MM-DD)") + parser.add_argument("--end", default=today, help="종료일 (YYYY-MM-DD)") + parser.add_argument("--mode", default="coarse", choices=["coarse", "fine", "full", "wide"], + help="탐색 모드: coarse / fine / full / wide(방어·min_price 광범위)") + parser.add_argument("--top", default=5000, type=int, help="상위 N개 출력·JSON 저장 (기본 5000)") + parser.add_argument("--min_trades", default=1, type=int, help="최소 거래 건수") + parser.add_argument("--min_win_rate", default=MIN_WIN_RATE_DEFAULT, type=float, help="승률 하한 (%%). 이 이상만 손익순 1위") + parser.add_argument("--apply", nargs="?", const=1, type=int, default=None, metavar="N", + help="N번째 결과를 DB에 적용 (기본 1). --from-file 시 최근 JSON에서 적용") + parser.add_argument("--from-file", action="store_true", help="--apply N 과 함께 사용 시, 최근 결과 JSON에서만 적용 (탐색 생략)") + parser.add_argument("--sort-by", default="pnl", choices=["pnl", "win_rate"], + help="1위 기준: pnl=총손익 최대(기본), win_rate=승률 최대") + parser.add_argument("--fallback-universe", action="store_true", dest="fallback_universe", + help="저장 이력 무시, 시뮬레이션 유니버스만 사용. 조합 많을 때 거래 수 확대용") + parser.add_argument("--apply-ai", action="store_true", dest="apply_ai", + help="Gemini가 수익·승률 기준으로 하나 골라 DB 적용. --from-file 과 함께 쓰면 탐색 없이 최근 JSON만 사용; 그 외에는 탐색 완료 후 방금 생성된 JSON으로 적용") + args = parser.parse_args() + + # 탐색 없이 최근 JSON으로만 AI 적용 (--from-file --apply-ai) + if args.apply_ai and args.from_file: + import param_apply_ai + param_apply_ai.apply_ai_scalp() + return + + # SIGTERM 을 KeyboardInterrupt 와 동일하게 처리 (systemd·운영자 kill 대응) + def _sigterm_to_kbd(_sig, _frm): + raise KeyboardInterrupt("SIGTERM 수신 → 워커 정리 후 종료") + try: + signal.signal(signal.SIGTERM, _sigterm_to_kbd) + except Exception: + pass + + try: + had_results = run_search( + start = args.start, + end = args.end, + mode = args.mode, + top_n = args.top, + min_trades = args.min_trades, + min_win_rate = args.min_win_rate, + apply_rank = args.apply, + from_file_only = args.from_file, + sort_by = args.sort_by, + use_fallback_universe = args.fallback_universe, + ) + except KeyboardInterrupt as e: + # ProcessPoolExecutor 의 `with ... as executor:` 블록이 __exit__ 시 + # shutdown(wait=True) 을 호출하고, 워커들은 PR_SET_PDEATHSIG 로 이미 + # SIGTERM 을 받은 상태라 빠르게 정리된다. + print(f"\n⛔ {e} — 미완료 결과 없이 종료합니다.", flush=True) + sys.exit(130) # 130 = SIGINT 관례 exit code + + # 탐색에서 조건 만족 조합이 있었을 때만 방금 저장된 JSON으로 AI 적용 (없으면 기존 설정 유지) + if args.apply_ai and had_results: + import param_apply_ai + param_apply_ai.apply_ai_scalp() + elif args.apply_ai and not had_results: + print("📌 이번 탐색에서 조건 만족 조합 없음 → apply_ai 스킵. DB 미적용. 기존 설정 유지.") + + +if __name__ == "__main__": + main() diff --git a/kis_trader/backtest/tail_param_search.py b/kis_trader/backtest/tail_param_search.py new file mode 100644 index 0000000..2421584 --- /dev/null +++ b/kis_trader/backtest/tail_param_search.py @@ -0,0 +1,708 @@ +#!/usr/bin/env python3 +""" +kis_trader/backtest/tail_param_search.py — 꼬리잡기 백테스트 파라미터 자동 탐색 (Grid Search) +============================================================================================== +tail_engine 을 직접 임포트해 run_tail_backtest 호출. 기본값은 DB(env_config) 단일 소스. +실매매·백테스트·파라서치가 동일한 env 값을 사용해 결과 예측 가능. +[V3 통합]: MA20, 피뢰침, ATR 동적 배수, 리스크 비율 등 고급 방어 로직 변수 탐색 추가. +[성능 최적화]: 멀티프로세싱(ProcessPool) 및 Heapq 기반 메모리 최적화 적용. + +실행: + cd /home/hoon/kis_bot + python3 kis_trader/backtest/tail_param_search.py + # 또는 + python3 -m kis_trader.backtest.tail_param_search --mode full --apply + +옵션: + --start 시작일 (기본: 오늘-7일) + --end 종료일 (기본: 오늘) + --mode 탐색 모드: coarse / fine / full / massive (기본: coarse) + --top 상위 N개 출력·JSON 저장 (기본: 5000) + --min_trades 최소 거래 건수 필터 (기본: 1) + --min_win_rate 승률 하한 (기본: 45.0). + --apply [N] 1위(또는 N위) 결과를 DB에 적용. N 생략 시 1. + --from-file --apply N 과 함께 사용 시, 최근 결과 JSON에서 N번째 적용 (탐색 생략). + +위치 이관 (2026-04 기준): + backtest_scalping/tail_param_search.py → kis_trader/backtest/tail_param_search.py + - ROOT = kis_bot 프로젝트 루트 (__file__ 기준 3단계 위) + - 결과 저장: kis_trader/backtest/results/*.json + - tail_param_result.json: kis_trader/backtest/tail_param_result.json + (구 경로 backtest_scalping/tail_param_result.json 도 읽기 fallback) +""" + +import sys +import os +import time +import json +import signal +import logging +import argparse +import itertools +import heapq +from datetime import datetime, timedelta +from concurrent.futures import ProcessPoolExecutor, as_completed +from typing import List, Dict, Any, Tuple, Optional + + +# ───────────────────────────────────────────────────────────────────────────── +# 멀티프로세싱 안전장치 — 부모(마스터)가 죽으면 워커도 자동으로 함께 종료 +# ───────────────────────────────────────────────────────────────────────────── +# Linux `PR_SET_PDEATHSIG` 로 부모 종료 시 워커도 SIGTERM 을 받도록 설정. +# (Ctrl+C / kill 어느 경로든 워커가 고아 프로세스로 남지 않게 함) +def _worker_init() -> None: + """ProcessPoolExecutor initializer — 워커 생성 직후 한 번 호출.""" + try: + if sys.platform.startswith("linux"): + import ctypes + PR_SET_PDEATHSIG = 1 + libc = ctypes.CDLL("libc.so.6", use_errno=True) + libc.prctl(PR_SET_PDEATHSIG, signal.SIGTERM, 0, 0, 0) + except Exception: + pass + # 부모가 SIGINT 처리를 하는 동안 워커는 중간 예외로 죽지 않도록 SIGINT 무시. + try: + signal.signal(signal.SIGINT, signal.SIG_IGN) + except Exception: + pass + +# 프로젝트 루트 경로 추가 (database, tail_engine 등 임포트용) +HERE = os.path.dirname(os.path.abspath(__file__)) +ROOT = os.path.dirname(os.path.dirname(HERE)) +if ROOT not in sys.path: + sys.path.insert(0, ROOT) +if HERE not in sys.path: + sys.path.insert(0, HERE) + +from database import TradeDB +import tail_engine as te + +logging.basicConfig(level=logging.INFO, format='%(message)s') +logger = logging.getLogger("tail_param_search") + +MIN_WIN_RATE_DEFAULT = 45.0 + +# ───────────────────────────────────────────────────────────────────────────── +# 결과 디렉터리 (신규 위치 우선, 구 경로 fallback) +# ───────────────────────────────────────────────────────────────────────────── + +def _results_dir_for_write() -> str: + d = os.path.join(HERE, "results") + os.makedirs(d, exist_ok=True) + return d + + +def _tail_result_paths_for_read() -> List[str]: + """tail_param_result.json 조회 후보. 신규 → 구 순서.""" + return [ + os.path.join(HERE, "tail_param_result.json"), + os.path.join(ROOT, "backtest_scalping", "tail_param_result.json"), + ] + + +def _tail_result_path_for_write() -> str: + return os.path.join(HERE, "tail_param_result.json") + + +def _find_tail_result_json() -> Optional[str]: + for p in _tail_result_paths_for_read(): + if os.path.isfile(p): + return p + return None + +# ───────────────────────────────────────────────────────────────────────────── +# 파라미터 그리드 정의 (V3 방어 로직 포함) +# ───────────────────────────────────────────────────────────────────────────── +PARAM_GRIDS = { + # ───────────────────────────────────────────────────────────────────── + # [COARSE] 실제 결과에 영향 주는 축만 빠르게 훑는 1일 1회 탐색용 + # ───────────────────────────────────────────────────────────────────── + # ⚠️ 꼬리잡기 엔진 특성: + # - 실제 손절가 = entry - ATR × stop_atr_mult (sl_pct 는 미사용) + # - 실제 익절가 = entry + ATR × target_atr_mult (tp_pct 는 미사용) + # - sl_pct 는 포지션 "수량 사이징" 계산에만 쓰임 → 여기선 고정 + # - tp_pct 는 엔진에서 아예 안 씀 → 고정 + # 따라서 탐색 축은 ATR 배수(stop/target) + 어깨컷(트레일링 스탑) + 진입필터. + # + # 총 조합: 3×2×3×3×3×3×3×3 = 4,374 (수 분 내 완료 예상) + "coarse": { + # ── 진입 필터 (어떤 꼬리 모양을 살 것인가) ───────────── + "min_drop_rate": [0.02, 0.03, 0.04], # 당일 낙폭(저가/시가) 최소값 + "min_recovery_ratio": [0.35, 0.5], # 저가→현재 반등률 최소값 + "tail_ratio_min": [1.0, 1.5, 2.0], # 아래꼬리/몸통 비율 최소값 + # ── 청산 (실제 P&L 을 좌우하는 축) ──────────────────── + "stop_atr_mult": [2.0, 2.5, 3.0], # 동적 손절 폭 (ATR 배수) + "target_atr_mult": [5.0, 8.0, 12.0], # 동적 익절 폭 (ATR 배수) + "shoulder_min_high": [0.015, 0.03, 0.05], # 어깨컷(트레일) 발동 수익 임계 — 0.05 에 가까울수록 OFF 효과 + "shoulder_cut_pct": [0.02, 0.03, 0.05], # 어깨컷 추적 폭 (고점 대비 하락%) + # ── 자금 관리 ───────────────────────────────────────── + "max_loss_krw": [100000, 200000, 300000], # 1회 최대 손실(원) + # ── 고정 (엔진 미사용 또는 사이징 전용) ─────────────── + "sl_pct": [0.02], # 포지션 수량 계산 전용 (실제 손절은 ATR) + "tp_pct": [0.05], # ⚠️ 꼬리잡기 엔진은 사용 안 함 + "min_drop_pct_for_loss_cut": [0.015], # 금액손실컷 발동 최소 하락률 + }, + "fine": { + "min_drop_rate": [0.015, 0.02, 0.025, 0.03, 0.04], + "min_recovery_ratio": [0.35, 0.4, 0.45, 0.5, 0.6], + "tail_ratio_min": [1.0, 1.2, 1.5, 1.8, 2.0], + "tail_pct_min": [0.001, 0.002, 0.003, 0.005], + "sl_pct": [0.015, 0.02, 0.025, 0.03, 0.04], + "tp_pct": [0.03, 0.04, 0.05, 0.06, 0.07], + "shoulder_cut_pct": [0.02, 0.025, 0.03, 0.04], + "rsi_threshold": [72, 75, 78, 82], + "max_loss_krw": [150000, 200000, 300000], + "min_drop_pct_for_loss_cut": [0.01, 0.015, 0.02], + }, + "full": { + "min_drop_rate": [0.015, 0.02, 0.025, 0.03, 0.04, 0.05], + "min_recovery_ratio": [0.35, 0.4, 0.5, 0.6], + "tail_ratio_min": [1.0, 1.2, 1.5, 1.8, 2.0], + "tail_pct_min": [0.001, 0.002, 0.003], + "sl_pct": [0.015, 0.02, 0.025, 0.03, 0.04], + "tp_pct": [0.03, 0.04, 0.05, 0.06, 0.07, 0.08], + "shoulder_cut_pct": [0.02, 0.03, 0.04], + "ma20_max_above": [3.0, 5.0], + "max_daily_change": [15.0, 20.0, 25.0], + "stop_atr_mult": [2.0, 2.5, 3.0], + "target_atr_mult": [5.0, 6.0, 8.0, 10.0], + "max_loss_krw": [100000, 200000, 300000], + "min_drop_pct_for_loss_cut": [0.01, 0.015, 0.02, 0.025], + }, + "massive": { + "min_drop_rate": [0.015, 0.02, 0.025, 0.03, 0.04, 0.05], + "min_recovery_ratio": [0.35, 0.4, 0.45, 0.5, 0.6], + "tail_ratio_min": [1.0, 1.2, 1.5, 1.8, 2.0], + "tail_pct_min": [0.001, 0.002, 0.003, 0.005], + "sl_pct": [0.015, 0.02, 0.025, 0.03, 0.04], + "tp_pct": [0.03, 0.04, 0.05, 0.06, 0.07, 0.10], + "shoulder_cut_pct": [0.02, 0.025, 0.03, 0.04], + "ma20_max_above": [2.0, 3.0, 5.0], + "max_daily_change": [15.0, 20.0, 25.0], + "stop_atr_mult": [2.0, 2.5, 3.0], + "target_atr_mult": [5.0, 7.0, 9.0], + "risk_pct": [0.005, 0.01, 0.02], + "kelly_mult": [0.15, 0.25, 0.5], + "max_loss_krw": [200000, 300000], + "min_drop_pct_for_loss_cut": [0.01, 0.015, 0.02], + } +} + + +def evaluate_param_chunk( + param_chunk: List[Dict[str, Any]], + base_params: Dict[str, Any], + candles_by_code: Dict[str, List[Dict]], + fee_rate: float, + sell_tax: float, + min_trades: int, + min_win_rate: float, + top_n: int, + universe_by_slot: Optional[Dict[str, List[str]]] = None, +) -> List[Tuple[float, Dict]]: + """ + 워커 프로세스에서 실행될 백테스트 평가 함수. + universe_by_slot이 있으면 유니버스 히스토리(5분마다 후보)만 매수 검사. + """ + local_heap = [] + + for combo in param_chunk: + test_params = dict(base_params) + test_params.update(combo) + + trades = te.run_tail_backtest(candles_by_code, test_params, universe_by_slot=universe_by_slot) + + total_trades = len(trades) + if total_trades < min_trades: + continue + + wins, losses, total_pnl = 0, 0, 0.0 + + for t in trades: + qty = t.get("qty", 1) + fee = (t["entry"] + t["exit"]) * qty * fee_rate + tax = t["exit"] * qty * sell_tax + pnl = (t["exit"] - t["entry"]) * qty - fee - tax + + total_pnl += pnl + if pnl > 0: wins += 1 + else: losses += 1 + + win_rate = (wins / total_trades) * 100 if total_trades > 0 else 0 + + result_pkg = { + "params": combo, + "total_trades": total_trades, + "win_rate": round(win_rate, 2), + "total_pnl": int(total_pnl), + "wins": wins, + "losses": losses + } + + if len(local_heap) < top_n: + heapq.heappush(local_heap, (win_rate, total_pnl, id(result_pkg), result_pkg)) + else: + heapq.heappushpop(local_heap, (win_rate, total_pnl, id(result_pkg), result_pkg)) + + return local_heap + + +def run_search(start: str, end: str, mode: str, top_n: int, min_trades: int, min_win_rate: float, sort_by: str = "pnl", use_fallback_universe: bool = False) -> bool: + """탐색 실행. 결과가 있어서 JSON 저장까지 했으면 True, 조건 만족 조합 없이 조기 return 시 False.""" + db = TradeDB() + try: + # 1. Base Environment Parameters 로드 + base_params = te.get_tail_defaults_from_db(db) + + row = db.conn.execute("SELECT * FROM env_config ORDER BY id DESC LIMIT 1").fetchone() + if row: + r = dict(row) + fee_rate = float(r.get("FEE_RATE_PCT") or 0.015) / 100 + sell_tax = float(r.get("SELL_TAX_RATE_PCT") or 0.18) / 100 + base_params["capital"] = float(r.get("BACKTEST_CAPITAL") or 10000000.0) + else: + fee_rate = 0.015 / 100 + sell_tax = 0.18 / 100 + base_params["capital"] = 10000000.0 + + # 2. 캔들 데이터 로드 (1번만 로드하여 멀티프로세스 워커에 전달) + start_key = start.replace("-", "") + "0000" + end_key = end.replace("-", "") + "2359" + + logger.info(f"📅 데이터 로드: {start} ~ {end}") + codes_raw = db.conn.execute( + "SELECT DISTINCT code FROM ws_candles WHERE timeframe=3 " + "AND candle_time >= %s AND candle_time <= %s", + [start_key, end_key] + ).fetchall() + codes = [r["code"] for r in codes_raw] + + candles_by_code = {} + total_candles = 0 + rsi_period = int(base_params.get("rsi_period", 14)) + + for code in codes: + rows = db.conn.execute( + "SELECT candle_time, open, high, low, close, volume " + "FROM ws_candles WHERE timeframe=3 AND code=%s " + "AND candle_time >= %s AND candle_time <= %s AND is_confirmed=1 " + "ORDER BY candle_time ASC", + [code, start_key, end_key] + ).fetchall() + if len(rows) < rsi_period + 5: + continue + candles_by_code[code] = [dict(r) for r in rows] + total_candles += len(rows) + + if not candles_by_code: + logger.info("❌ 백테스트할 데이터가 없습니다.") + return False + + logger.info(f"📦 종목 수: {len(candles_by_code)}개 | 총 캔들 수: {total_candles:,}개") + + # 2-2. 유니버스: 파람서치 시 조합별 거래 수가 너무 적으면 --fallback-universe 로 전체 종목 사용 + # 신봇 기준: TradeDBExt.get_universe_by_candle_time("SHORT", ...) 로 + # 초단위 event_time 이력을 1분 캔들 시각 키로 리샘플링해서 로드. + start_ymd = start_key[:8] + end_ymd = end_key[:8] + universe_by_slot = None + if use_fallback_universe: + print("📌 [유니버스] --fallback-universe: 저장 이력 무시 → 전체 종목 기준 (조합별 거래 수 확대)") + else: + try: + from kis_trader.database.db_manager import get_db as _get_ext_db + _ext = _get_ext_db() + history = _ext.get_universe_by_candle_time( + strategy_id="SHORT", + start_ymd=start_ymd, + end_ymd=end_ymd, + ) + if history: + universe_by_slot = history + n_bins = len(history) + avg = sum(len(v) for v in history.values()) / max(1, n_bins) + print( + f"✅ 유니버스: 신봇 이력 사용 (event_time → 1분 캔들 리샘플링) | " + f"{n_bins:,}분봉 · 평균 {avg:.1f}종목 (SHORT)" + ) + print( + "📌 [유니버스] 이력만 쓰면 매수 기회가 적어 거래 0~1건 나올 수 있음. " + "조합 많을 때는 --fallback-universe 권장." + ) + else: + print("📌 [유니버스] 저장 이력 없음 → 전체 종목 기준 (시간 제한 없음)") + except Exception as e: + logger.debug("유니버스 이력 조회 스킵: %s", e) + print("📌 [유니버스] 저장 이력 조회 실패 → 전체 종목 기준") + + # 엔진에 슬롯 단위 주입: 신봇 이력 → 1분봉, 이력 없음 → universe_by_slot=None 이므로 무의미. + # base_params 에 명시해 두면 엔진 _slot_key 가 정확히 1분 키로 매칭. + base_params["scan_interval_min"] = 1 + + # 3. Grid 조합 생성 + grid = PARAM_GRIDS.get(mode) + if not grid: + logger.error(f"❌ 알 수 없는 모드: {mode}") + return False + + keys = list(grid.keys()) + values = list(grid.values()) + combos = list(itertools.product(*values)) + total_combos = len(combos) + logger.info(f"🔍 탐색 모드: {mode.upper()} | 총 조합 수: {total_combos:,}개") + logger.info(f"📌 1위 정렬 기준: {'총손익 최대 (수익 나는 조합 우선)' if sort_by == 'pnl' else '승률 최대'}") + + dict_combos = [dict(zip(keys, combo)) for combo in combos] + + # 4. 멀티프로세싱을 위한 청크 분할 (메모리 및 부하 분산) + n_cpu = os.cpu_count() or 4 + # 스캘핑·꼬리잡기 두 서치를 동시에 돌려도 합산 80% 가 되도록 40% 로 유지. + # (단독 실행 시 CPU 절반 놀지만, 하루 1회 자동 최적화 파이프라인 보호가 우선) + max_workers = max(1, int(n_cpu * 0.4)) + + # 청크 크기 최대 300개로 제한하여 실시간 프로그레스가 자주 업데이트되도록 함 + chunk_size = min(300, max(50, total_combos // (max_workers * 4))) + chunks = [dict_combos[i:i + chunk_size] for i in range(0, len(dict_combos), chunk_size)] + + logger.info(f"⚙️ 멀티프로세싱 시작 (코어: {n_cpu}, 워커: {max_workers} ≈ 80%%) | 청크: {len(chunks):,}개") + + start_time = time.time() + global_heap = [] + + # initializer=_worker_init 로 워커에 PR_SET_PDEATHSIG 설정 (부모 죽으면 자동 종료) + with ProcessPoolExecutor(max_workers=max_workers, initializer=_worker_init) as executor: + futures = { + executor.submit( + evaluate_param_chunk, chunk, base_params, candles_by_code, + fee_rate, sell_tax, min_trades, min_win_rate, top_n, universe_by_slot + ): chunk for chunk in chunks + } + + logger.info(f"⏳ 청크 처리 중… (청크당 최대 {chunk_size:,}개 조합, 완료되는 대로 진행률·ETA 출력)") + + processed = 0 + use_carriage_return = sys.stdout.isatty() + + for future in as_completed(futures): + processed += 1 + local_results = future.result() + + for i, item in enumerate(local_results): + wr, pnl, _, result_pkg = item + if sort_by == "pnl": + unique_item = (-pnl, wr, (processed, i), result_pkg) + else: + unique_item = (wr, pnl, (processed, i), result_pkg) + if len(global_heap) < top_n: + heapq.heappush(global_heap, unique_item) + else: + heapq.heappushpop(global_heap, unique_item) + + # ── 정확한 ETA(예상 남은 시간) 계산 로직 ── + progress = (processed / len(chunks)) * 100 + elapsed_so_far = time.time() - start_time + + # 지금까지 걸린 총 시간을 완료된 청크 개수로 나누어 청크당 평균 시간 도출 + avg_time_per_chunk = elapsed_so_far / processed + remaining_chunks = len(chunks) - processed + eta_sec = avg_time_per_chunk * remaining_chunks + + # 초 단위 포맷팅 (시간/분/초) + eta_m, eta_s = divmod(int(eta_sec), 60) + eta_h, eta_m = divmod(eta_m, 60) + if eta_h > 0: + eta_str = f"{eta_h}시간 {eta_m}분 {eta_s}초" + elif eta_m > 0: + eta_str = f"{eta_m}분 {eta_s}초" + else: + eta_str = f"{eta_s}초" + + elapsed_m, elapsed_s = divmod(int(elapsed_so_far), 60) + + eta_msg = f" | 경과: {elapsed_m}분 {elapsed_s}초 | 남은시간: {eta_str}" + line = f"⏳ 진행률: {progress:.1f}% ({processed:,}/{len(chunks):,} 청크 완료){eta_msg}" + + if use_carriage_return: + print(f"\r{line}", end="", flush=True) + else: + logger.info(line) + + if use_carriage_return: + print(flush=True) # 줄바꿈으로 진행률 줄 마무리 + + elapsed = time.time() - start_time + + # 5. 결과 정렬 및 출력 + if not global_heap: + logger.info("⚠️ 조건을 만족하는 조합이 없습니다. (min_trades를 낮추거나 기간을 늘려보세요)") + print("📌 DB 미적용. 기존 설정 유지.") + return False + + # sort_by pnl → (-pnl, wr) 최소힙 → heappop 순이 이미 [best pnl, ..., worst] 이므로 reverse 금지 + # sort_by win_rate → (wr, pnl) 최소힙 → heappop 순은 [low wr, ..., high wr] 이므로 reverse 필요 + best_results = [heapq.heappop(global_heap)[3] for _ in range(len(global_heap))] + if sort_by == "win_rate": + best_results.reverse() + + # sl_pct(손절%)별 상위 보장 → 한 값만 상위 독점 방지, 동점이면 손절 낮은 쪽(보수적) 1위 + if "sl_pct" in keys and best_results: + sl_vals = sorted(set(r["params"]["sl_pct"] for r in best_results)) + per_sl = max(1, top_n // len(sl_vals)) + by_sl = {} + for r in best_results: + v = r["params"]["sl_pct"] + if v not in by_sl: + by_sl[v] = [] + if len(by_sl[v]) < per_sl: + by_sl[v].append(r) + best_results = [] + for v in sl_vals: + best_results.extend(by_sl.get(v, [])) + best_results.sort(key=lambda r: (-r["total_pnl"], r["params"]["sl_pct"], -r["win_rate"])) + logger.info(f"✅ 손절(sl_pct)별 상위 {per_sl}개씩 보장 → {len(best_results)}건 (동점 시 손절 낮은 쪽 1위)") + + filtered = [r for r in best_results if r["win_rate"] >= min_win_rate] + if filtered: + best_results = filtered + order_msg = "수익→승률 순" if sort_by == "pnl" else "승률→수익 순" + logger.info(f"✅ 승률 {min_win_rate}% 이상 {len(best_results)}건 중 {order_msg} 상위 사용") + else: + logger.info(f"⚠️ 승률 {min_win_rate}% 이상 없음 → 차악(상위) 적용") + + # 손익 마이너스인 조합 제외 (수익 나는 것만 표시·저장) + profitable = [r for r in best_results if r["total_pnl"] > 0] + if profitable: + best_results = profitable + logger.info(f"✅ 총손익 플러스만 사용: {len(best_results)}건 (손실 조합 제외)") + else: + logger.info(f"⚠️ 수익 나는 조합 없음 → 손실 최소 순으로 표시") + + order_label = "수익" if sort_by == "pnl" else "승률" + hdr_keys = [k for k in keys if k in (best_results[0]["params"] if best_results else {})] + col_w = max((len(k) for k in hdr_keys), default=6) + 2 + sep_w = len(hdr_keys) * (col_w + 2) + 50 + print(f"\n✅ 탐색 완료! 총 소요 시간: {elapsed:.1f}초") + print(f"\n{'='*min(sep_w, 100)}") + print(f" 🏆 꼬리잡기 {order_label} TOP {min(top_n, len(best_results))}") + print(f"{'='*min(sep_w, 100)}") + hdr = " ".join(f"{k:>{col_w}}" for k in hdr_keys) + print(f"{hdr} | {'손익(원)':>12} {'승률':>6} {'거래':>5} {'PF':>5}") + print("-" * min(sep_w + 10, 110)) + for i, res in enumerate(best_results[:top_n]): + p = res["params"] + row = " ".join(f"{p.get(k, ''):>{col_w}.4g}" for k in hdr_keys) + pf = res.get("pf", 0) or 0 + print(f"{row} | {res['total_pnl']:>+12,.0f} {res['win_rate']:>5.1f}% {res['total_trades']:>5} {pf:>5.2f}") + best = best_results[0] + bp = best["params"] + print(f""" +╔══════════════════════════════════════════╗ +║ 🏆 1위 최적 파라미터 ║ +╠══════════════════════════════════════════╣""") + for k in hdr_keys: + v = bp.get(k, "") + print(f"║ {k:<28s} : {str(v):>6} ║") + print(f"""╠══════════════════════════════════════════╣ +║ 총 손익 : {best['total_pnl']:>+12,.0f} 원 ║ +║ 승률 : {best['win_rate']:>6.1f}% ║ +║ 총 거래 : {best['total_trades']:>5} 건 ║ +║ Profit Factor : {best.get('pf', 0):>5.2f} ║ +╚══════════════════════════════════════════╝""") + + # 6. JSON 파일로 결과 저장 + out_data = { + "mode": mode, + "start": start, + "end": end, + "min_trades": min_trades, + "min_win_rate": min_win_rate, + "tested_combos": total_combos, + "elapsed_sec": round(elapsed, 1), + "results": best_results[:top_n] + } + out_dir = _results_dir_for_write() + ts = datetime.now().strftime("%Y%m%d_%H%M%S") + out_path = os.path.join(out_dir, f"tail_search_{mode}_{ts}.json") + with open(out_path, "w", encoding="utf-8") as f: + json.dump(out_data, f, indent=2, ensure_ascii=False) + out_file = _tail_result_path_for_write() + with open(out_file, "w", encoding="utf-8") as f: + json.dump(out_data, f, indent=2, ensure_ascii=False) + logger.info(f"\n💾 결과 저장: {out_path}") + logger.info(f"💾 적용용 복사: {out_file}") + return True + + except Exception as e: + logger.error(f"❌ 탐색 중 오류 발생: {e}", exc_info=True) + return False + finally: + db.close() + + +def apply_from_json(apply_idx: int): + """ + 저장된 JSON 결과에서 N위 조합을 추출하여 env_config에 즉시 반영 + """ + out_file = _find_tail_result_json() + if not out_file: + logger.error( + "❌ 결과를 찾을 수 없습니다. 후보 경로:\n - " + + "\n - ".join(_tail_result_paths_for_read()) + ) + return + + with open(out_file, "r", encoding="utf-8") as f: + data = json.load(f) + + results = data.get("results", []) + if not results: + logger.error("❌ JSON에 저장된 결과가 없습니다.") + return + + if apply_idx < 1 or apply_idx > len(results): + logger.error(f"❌ 유효하지 않은 순위입니다. (1~{len(results)} 사이 입력)") + return + + target = results[apply_idx - 1] + if target.get("total_pnl", 0) <= 0: + logger.warning(f"⚠️ {apply_idx}번째 결과는 총손익 ≤ 0 (조건 미충족). DB 미적용. 기존 설정 유지.") + print("⚠️ 해당 순위는 총손익 ≤ 0 (조건 미충족). DB 미적용. 기존 설정 유지.") + return + + p = target["params"] + + env_map = {} + if "min_drop_rate" in p: env_map["MIN_DROP_RATE"] = str(p["min_drop_rate"]) + if "min_recovery_ratio" in p: env_map["MIN_RECOVERY_RATIO_SHORT"] = str(p["min_recovery_ratio"]) + if "tail_ratio_min" in p: env_map["TAIL_RATIO_MIN"] = str(p["tail_ratio_min"]) + if "tail_pct_min" in p: env_map["TAIL_PCT_MIN"] = str(p["tail_pct_min"]) + if "sl_pct" in p: env_map["STOP_LOSS_PCT"] = str(-abs(p["sl_pct"])) + if "tp_pct" in p: env_map["TAKE_PROFIT_PCT"] = str(p["tp_pct"]) + if "shoulder_cut_pct" in p: env_map["SHOULDER_CUT_PCT"] = str(p["shoulder_cut_pct"]) + if "rsi_threshold" in p: env_map["RSI_OVERHEAT_THRESHOLD"] = str(p["rsi_threshold"]) + + if "ma20_max_above" in p: env_map["MA20_MAX_ABOVE_PCT"] = str(p["ma20_max_above"]) + if "max_daily_change" in p: env_map["MAX_DAILY_CHANGE_PCT"] = str(p["max_daily_change"]) + if "stop_atr_mult" in p: env_map["STOP_ATR_MULTIPLIER_TAIL"] = str(p["stop_atr_mult"]) + if "target_atr_mult" in p: env_map["TARGET_ATR_MULTIPLIER_TAIL"] = str(p["target_atr_mult"]) + if "risk_pct" in p: env_map["RISK_PCT_PER_TRADE"] = str(p["risk_pct"]) + if "kelly_mult" in p: env_map["KELLY_MULTIPLIER"] = str(p["kelly_mult"]) + if "max_loss_krw" in p: env_map["MAX_LOSS_PER_TRADE_KRW"] = str(int(float(p["max_loss_krw"]))) + if "min_drop_pct_for_loss_cut" in p: + v = float(p["min_drop_pct_for_loss_cut"]) + env_map["MIN_DROP_PCT_FOR_LOSS_CUT"] = str(round(v * 100, 2)) if v < 1 else str(round(v, 2)) + + db = TradeDB() + try: + latest = db.get_latest_env() + snap = dict(latest["snapshot"]) if latest else {} + snap.update(env_map) + + env_id = db.insert_env_snapshot(snap) + logger.info(f"\n🚀 [자동 반영 완료] {apply_idx}위 조합을 DB에 적용했습니다. (env_id: {env_id})") + logger.info(f"적용된 값: {json.dumps(env_map, indent=2)}") + logger.info("실매매 봇(kis_trader/main.py TailCatchStrategy)이 다음 루프부터 이 설정을 사용하여 매매를 시작합니다.") + finally: + db.close() + + +def apply_params_to_db(p: dict): + """ + params 딕셔너리를 DB env_config에 반영. (param_apply_ai에서 AI가 고른 조합 적용 시 호출) + """ + env_map = {} + if "min_drop_rate" in p: env_map["MIN_DROP_RATE"] = str(p["min_drop_rate"]) + if "min_recovery_ratio" in p: env_map["MIN_RECOVERY_RATIO_SHORT"] = str(p["min_recovery_ratio"]) + if "tail_ratio_min" in p: env_map["TAIL_RATIO_MIN"] = str(p["tail_ratio_min"]) + if "tail_pct_min" in p: env_map["TAIL_PCT_MIN"] = str(p["tail_pct_min"]) + if "sl_pct" in p: env_map["STOP_LOSS_PCT"] = str(-abs(p["sl_pct"])) + if "tp_pct" in p: env_map["TAKE_PROFIT_PCT"] = str(p["tp_pct"]) + if "shoulder_cut_pct" in p: env_map["SHOULDER_CUT_PCT"] = str(p["shoulder_cut_pct"]) + if "rsi_threshold" in p: env_map["RSI_OVERHEAT_THRESHOLD"] = str(p["rsi_threshold"]) + if "ma20_max_above" in p: env_map["MA20_MAX_ABOVE_PCT"] = str(p["ma20_max_above"]) + if "max_daily_change" in p: env_map["MAX_DAILY_CHANGE_PCT"] = str(p["max_daily_change"]) + if "stop_atr_mult" in p: env_map["STOP_ATR_MULTIPLIER_TAIL"] = str(p["stop_atr_mult"]) + if "target_atr_mult" in p: env_map["TARGET_ATR_MULTIPLIER_TAIL"] = str(p["target_atr_mult"]) + if "risk_pct" in p: env_map["RISK_PCT_PER_TRADE"] = str(p["risk_pct"]) + if "kelly_mult" in p: env_map["KELLY_MULTIPLIER"] = str(p["kelly_mult"]) + if "max_loss_krw" in p: env_map["MAX_LOSS_PER_TRADE_KRW"] = str(int(float(p["max_loss_krw"]))) + if "min_drop_pct_for_loss_cut" in p: + v = float(p["min_drop_pct_for_loss_cut"]) + env_map["MIN_DROP_PCT_FOR_LOSS_CUT"] = str(round(v * 100, 2)) if v < 1 else str(round(v, 2)) + + db = TradeDB() + try: + latest = db.get_latest_env() + snap = dict(latest["snapshot"]) if latest else {} + snap.update(env_map) + db.insert_env_snapshot(snap) + finally: + db.close() + + +def main(): + today = datetime.now().strftime("%Y-%m-%d") + week_ago = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d") + + parser = argparse.ArgumentParser(description="꼬리잡기 V3 백테스트 파라미터 최적화 (Grid Search)") + parser.add_argument("--start", default=week_ago, help="시작일 (YYYY-MM-DD)") + parser.add_argument("--end", default=today, help="종료일 (YYYY-MM-DD)") + parser.add_argument("--mode", default="coarse", choices=["coarse", "fine", "full", "massive"], + help="탐색 모드 (massive는 수백만 조합이므로 장시간 소요)") + parser.add_argument("--top", default=5000, type=int, help="메모리에 유지·JSON 저장할 상위 N개 (기본 5000)") + parser.add_argument("--min_trades", default=1, type=int, help="최소 거래 건수") + parser.add_argument("--min_win_rate", default=MIN_WIN_RATE_DEFAULT, type=float, help="승률 하한 (%%). 이 이상만 출력") + parser.add_argument("--apply", nargs="?", const=1, type=int, default=None, metavar="N", + help="N번째 결과를 DB에 적용 (기본 1위). --from-file 과 함께 쓰면 재탐색 없이 즉시 적용") + parser.add_argument("--from-file", action="store_true", help="탐색 생략하고 기존 저장된 JSON에서 적용") + parser.add_argument("--sort-by", default="pnl", choices=["pnl", "win_rate"], + help="1위 기준: pnl=총손익 최대(기본), win_rate=승률 최대") + parser.add_argument("--fallback-universe", action="store_true", dest="fallback_universe", + help="저장 이력 무시, 전체 종목으로 매수 후보 산정. 조합 많을 때 거래 수 확대용 (이력 쓰면 슬롯 적어서 0~1건만 나올 수 있음)") + parser.add_argument("--apply-ai", action="store_true", dest="apply_ai", + help="Gemini가 수익·승률 기준으로 하나 골라 DB 적용. --from-file 과 함께 쓰면 탐색 없이 최근 JSON만 사용; 그 외에는 탐색 완료 후 방금 생성된 JSON으로 적용") + args = parser.parse_args() + + # 탐색 없이 최근 JSON으로만 AI 적용 (--from-file --apply-ai) + if args.apply_ai and args.from_file: + import param_apply_ai + param_apply_ai.apply_ai_tail() + return + if args.from_file and args.apply is not None: + apply_from_json(args.apply) + return + + # SIGTERM 도 KeyboardInterrupt 로 전환 (systemd·운영자 kill 대응) + def _sigterm_to_kbd(_sig, _frm): + raise KeyboardInterrupt("SIGTERM 수신 → 워커 정리 후 종료") + try: + signal.signal(signal.SIGTERM, _sigterm_to_kbd) + except Exception: + pass + + try: + had_results = run_search( + args.start, args.end, args.mode, args.top, + args.min_trades, args.min_win_rate, + sort_by=args.sort_by, use_fallback_universe=args.fallback_universe, + ) + except KeyboardInterrupt as e: + print(f"\n⛔ {e} — 미완료 결과 없이 종료합니다.", flush=True) + sys.exit(130) + + if args.apply is not None: + if _find_tail_result_json(): + apply_from_json(args.apply) + else: + logger.warning("결과가 없어 DB 적용을 건너뜁니다.") + + # 탐색에서 조건 만족 조합이 있었을 때만 방금 저장된 JSON으로 AI 적용 (없으면 기존 설정 유지) + if args.apply_ai and had_results: + import param_apply_ai + param_apply_ai.apply_ai_tail() + elif args.apply_ai and not had_results: + print("📌 이번 탐색에서 조건 만족 조합 없음 → apply_ai 스킵. DB 미적용. 기존 설정 유지.") + + +if __name__ == "__main__": + main() diff --git a/kis_trader/database/__init__.py b/kis_trader/database/__init__.py new file mode 100644 index 0000000..fae2ce4 --- /dev/null +++ b/kis_trader/database/__init__.py @@ -0,0 +1,4 @@ +"""kis_trader.database — 기존 database.TradeDB 를 래핑해 orders 테이블을 추가.""" +from .db_manager import TradeDBExt, get_db + +__all__ = ["TradeDBExt", "get_db"] diff --git a/kis_trader/database/db_manager.py b/kis_trader/database/db_manager.py new file mode 100644 index 0000000..ccca195 --- /dev/null +++ b/kis_trader/database/db_manager.py @@ -0,0 +1,546 @@ +""" +kis_trader/database/db_manager.py — 통합 DB 관리자 +================================================== +기존 ``database.TradeDB``(MariaDB 2,000줄)를 **그대로 재사용**하고, +본 모듈에서는 주문(order_id=ODNO) 단위 추적을 위한 ``orders`` 테이블을 +추가·관리한다. + +핵심 설계: + 1. ODNO(한투 주문번호)를 PK 로 사용 → DB 레벨에서 중복 주문 차단. + 2. UNIQUE(strategy_id, code, order_date, side) 인덱스 → 같은 전략이 + 같은 날 같은 종목·같은 방향으로 중복 주문 시도 시 서버단 차단. + 3. 전략별 filter → 꼬리잡기봇과 스캘핑봇의 "남의 집 물건 팔기" 방지. + +본 모듈은 TradeDB 를 수정하지 않고 래핑한다 (원본 코드 존중 규칙). +""" +from __future__ import annotations + +import datetime +import logging +from typing import Dict, List, Optional + +from database import TradeDB # 프로젝트 루트 모듈 + +logger = logging.getLogger("kis_trader.db") + +# 싱글톤: 프로세스 내 TradeDBExt 재사용 (연결 낭비 방지) +_SINGLETON: Optional["TradeDBExt"] = None + + +def get_db() -> "TradeDBExt": + global _SINGLETON + if _SINGLETON is None: + _SINGLETON = TradeDBExt() + return _SINGLETON + + +class TradeDBExt: + """ + 기존 TradeDB 를 합성(Composition)한 래퍼. ``self.raw`` 로 원본 객체 접근. + ``orders`` 테이블 생성/마이그레이션을 책임지고, 주문 이력을 기록/조회하는 + 메서드를 추가로 제공한다. + """ + + def __init__(self): + self.raw = TradeDB() + self.conn = self.raw.conn + self._ensure_orders_table() + + # ------------------------------------------------------------------ + # 테이블 마이그레이션: orders + # ------------------------------------------------------------------ + def _ensure_orders_table(self) -> None: + """ + orders 테이블: + ord_no : 한투 주문번호(ODNO). PK — 서버단 중복 차단. + strategy_id : SCALP_RSI_REVERSAL, SHORT_ANT_SHAKING 등 + code/name : 종목코드/명 + side : BUY / SELL + qty : 주문 수량 + price : 주문 시 참고가 (시장가=0 일 수 있음) + filled_qty : 실제 체결 수량 + filled_avg_price : 평균 체결가 + status : SUBMITTED / FILLED / PARTIAL / REJECTED / CANCELLED + msg_cd/msg1 : 한투 응답 메시지(실패 원인 추적) + submitted_at : 주문 접수 시각 + filled_at : 체결 확인 시각 + + UNIQUE(strategy_id, code, ord_date, side): + 같은 전략·같은 종목·같은 날짜·같은 방향 중복 주문 시도를 서버단 차단. + (정정/취소는 별도 ODNO 로 인입되므로 구분됨) + """ + try: + self.conn.execute(""" + CREATE TABLE IF NOT EXISTS orders ( + ord_no VARCHAR(30) NOT NULL PRIMARY KEY, + strategy_id VARCHAR(40) NOT NULL, + code VARCHAR(20) NOT NULL, + name VARCHAR(100) NOT NULL DEFAULT '', + side VARCHAR(8) NOT NULL, + qty INT NOT NULL, + price DOUBLE DEFAULT 0, + filled_qty INT NOT NULL DEFAULT 0, + filled_avg_price DOUBLE DEFAULT 0, + status VARCHAR(16) NOT NULL DEFAULT 'SUBMITTED', + msg_cd VARCHAR(20) DEFAULT NULL, + msg1 VARCHAR(300) DEFAULT NULL, + ord_date VARCHAR(10) NOT NULL, + submitted_at VARCHAR(30) NOT NULL, + filled_at VARCHAR(30) DEFAULT NULL, + raw_json MEDIUMTEXT DEFAULT NULL, + INDEX idx_strategy_date (strategy_id, ord_date), + INDEX idx_code_date (code, ord_date), + UNIQUE KEY uq_strategy_code_side_date (strategy_id, code, side, ord_date) + ) CHARACTER SET utf8mb4 + """) + logger.info("📊 orders 테이블 확인/생성 완료") + except Exception as e: + logger.warning("orders 테이블 생성 실패(무시·폴백): %s", e) + + # ------------------------------------------------------------------ + # orders CRUD + # ------------------------------------------------------------------ + def insert_order( + self, + *, + ord_no: str, + strategy_id: str, + code: str, + name: str, + side: str, + qty: int, + price: float = 0.0, + status: str = "SUBMITTED", + msg_cd: Optional[str] = None, + msg1: Optional[str] = None, + raw_json: Optional[str] = None, + ) -> bool: + """ + 주문 기록 INSERT. PK(ord_no) 중복이면 False 반환 (서버단 차단). + side: 'BUY' | 'SELL' + """ + side = (side or "").upper() + assert side in ("BUY", "SELL"), f"side must be BUY|SELL, got {side}" + now = datetime.datetime.now() + try: + with self.conn: + self.conn.execute( + """ + INSERT INTO orders ( + ord_no, strategy_id, code, name, side, qty, price, + status, msg_cd, msg1, ord_date, submitted_at, raw_json + ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + """, + ( + ord_no, strategy_id, code, name, side, qty, price, + status, msg_cd, msg1, + now.strftime("%Y-%m-%d"), + now.strftime("%Y-%m-%d %H:%M:%S"), + raw_json, + ), + ) + return True + except Exception as e: + # 중복 PK(1062) / 유니크 인덱스 위반은 정상적 차단으로 간주 + msg = str(e) + if "1062" in msg or "Duplicate entry" in msg: + logger.warning( + "⚠️ [주문중복차단] strategy=%s code=%s side=%s ord_no=%s (이미 DB 존재)", + strategy_id, code, side, ord_no, + ) + return False + logger.error("insert_order 실패 (ord_no=%s): %s", ord_no, e) + return False + + def update_order_fill( + self, + *, + ord_no: str, + filled_qty: int, + filled_avg_price: float, + status: str = "FILLED", + ) -> bool: + """주문 체결 확인 후 체결가/체결수량/상태 갱신.""" + now = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") + try: + with self.conn: + self.conn.execute( + """ + UPDATE orders + SET filled_qty=%s, filled_avg_price=%s, status=%s, filled_at=%s + WHERE ord_no=%s + """, + (filled_qty, filled_avg_price, status, now, ord_no), + ) + return True + except Exception as e: + logger.error("update_order_fill 실패 (%s): %s", ord_no, e) + return False + + def mark_order_rejected( + self, *, ord_no: str, msg_cd: str = "", msg1: str = "" + ) -> None: + """주문 실패/거부 시 상태 REJECTED 처리.""" + try: + with self.conn: + self.conn.execute( + """ + UPDATE orders SET status='REJECTED', msg_cd=%s, msg1=%s + WHERE ord_no=%s + """, + (msg_cd, msg1, ord_no), + ) + except Exception as e: + logger.debug("mark_order_rejected 실패 (%s): %s", ord_no, e) + + def get_order_by_odno(self, ord_no: str) -> Optional[Dict]: + try: + row = self.conn.execute( + "SELECT * FROM orders WHERE ord_no=%s", (ord_no,) + ).fetchone() + return dict(row) if row else None + except Exception as e: + logger.error("get_order_by_odno 실패: %s", e) + return None + + def get_orders_today( + self, strategy_id: Optional[str] = None + ) -> List[Dict]: + today = datetime.datetime.now().strftime("%Y-%m-%d") + try: + if strategy_id: + rows = self.conn.execute( + """ + SELECT * FROM orders + WHERE ord_date=%s AND strategy_id=%s + ORDER BY submitted_at DESC + """, + (today, strategy_id), + ).fetchall() + else: + rows = self.conn.execute( + """ + SELECT * FROM orders + WHERE ord_date=%s + ORDER BY submitted_at DESC + """, + (today,), + ).fetchall() + return [dict(r) for r in rows] + except Exception as e: + logger.error("get_orders_today 실패: %s", e) + return [] + + # ------------------------------------------------------------------ + # 조건검색 유니버스 스냅샷 (백테스트용 이력) + # ------------------------------------------------------------------ + # 설계 원칙: + # - 5분 슬롯 스냅샷은 정보 손실이 크다(그 사이 들락날락한 종목 유실). + # - 따라서 **변동(ENTER/EXIT) 발생 tick 마다 풀 스냅샷**을 저장한다. + # - 변동 없는 tick 은 저장하지 않는다 (공간 절약). + # - 각 스냅샷은 같은 ``event_time`` 을 공유하는 N 행으로 표현. + # - 백테스트 시 특정 시점 유니버스 = 그 시점 이전 최근 event_time. + _HISTORY_MIGRATED = False + + def _ensure_history_columns(self) -> None: + """ + target_candidates_history 에 필요한 확장 컬럼을 자동 추가: + * strategy_id — 전략 구분 (기존 키움 스캐너 행은 NULL) + * event_time — 스냅샷 시각 (초 단위 'YYYY-MM-DD HH:MM:SS') + """ + if TradeDBExt._HISTORY_MIGRATED: + return + try: + cols = self.conn.get_columns("target_candidates_history") + if "strategy_id" not in cols: + self.conn.execute( + "ALTER TABLE target_candidates_history " + "ADD COLUMN strategy_id VARCHAR(30) DEFAULT NULL" + ) + logger.info("📌 target_candidates_history.strategy_id 컬럼 추가") + if "event_time" not in cols: + self.conn.execute( + "ALTER TABLE target_candidates_history " + "ADD COLUMN event_time VARCHAR(19) DEFAULT NULL" + ) + logger.info("📌 target_candidates_history.event_time 컬럼 추가") + # 인덱스 — 백테스트 조회 속도 확보 + for idx_name, idx_def in ( + ("idx_strategy_event", + "(strategy_id, event_time)"), + ): + try: + self.conn.execute( + f"CREATE INDEX {idx_name} " + f"ON target_candidates_history {idx_def}" + ) + except Exception as e: + # 이미 존재 / 버전 미지원 → 무시 + if "1061" not in str(e) and "Duplicate" not in str(e): + logger.debug("idx %s 생성 실패: %s", idx_name, e) + except Exception as e: + logger.debug("history 컬럼 마이그레이션: %s", e) + TradeDBExt._HISTORY_MIGRATED = True + + def insert_condition_universe_snapshot( + self, + *, + strategy_id: str, + event_time: str, + items: List[Dict], + slot_key: Optional[str] = None, + ) -> int: + """ + 조건검색 변동(ENTER/EXIT) 발생 tick 마다 호출되는 **풀 스냅샷** 저장. + 같은 ``event_time`` 으로 들어온 N 행 = 그 시점의 유니버스 전체. + + Args: + strategy_id : 'SCALP' | 'SHORT' | 'BREAKOUT' ... + event_time : 'YYYY-MM-DD HH:MM:SS' (초 단위). 백테스트 기준 시각. + items : [{"code": "...", "name": "..."}, ...] — 현재 유니버스 전체 + slot_key : (선택) 기존 5분 슬롯 키. 과거 대시보드/쿼리 호환용. + + Returns: 실제 INSERT 된 행수 + """ + if not items or not event_time: + return 0 + self._ensure_history_columns() + + # slot_key 기본값 — 기존 스키마 NOT NULL 이므로 최소한 값 채움 + if not slot_key: + # event_time 'YYYY-MM-DD HH:MM:SS' → 'YYYYMMDDHHMM' (5분 단위 반올림 X, 그대로) + try: + dp = event_time.replace("-", "").replace(":", "").replace(" ", "") + slot_key = dp[:12] # YYYYMMDDHHMM + except Exception: + slot_key = event_time[:12] + + inserted = 0 + try: + with self.conn: + # 동일 (전략, event_time) 키로 재호출되면 이전 것 지우고 재기록 + # (사실상 중복 호출 방지용 — ConditionSearchManager 가 tick 단위 유니크) + self.conn.execute( + "DELETE FROM target_candidates_history " + "WHERE strategy_id=%s AND event_time=%s", + (strategy_id, event_time), + ) + for it in items: + code = (it.get("code") or "").strip() + if not code: + continue + name = (it.get("name") or code)[:100] + try: + self.conn.execute( + """ + INSERT INTO target_candidates_history + (slot_key, scan_time, code, name, score, price, + market, sector, theme, strategy_id, event_time) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + """, + (slot_key, event_time, code, name, 0.0, 0.0, + "Q", "", "", strategy_id, event_time), + ) + inserted += 1 + except Exception as e: + logger.debug("history insert 실패(%s/%s): %s", + strategy_id, code, e) + except Exception as e: + logger.warning("history 스냅샷 저장 실패: %s", e) + return inserted + + # 범용 별칭 — 유니버스 소스가 condition 이든 ranking 이든 같은 테이블을 공유 + # (함수명 혼동 줄이기 위한 alias. 기존 호출부는 그대로 동작) + def insert_universe_snapshot( + self, + *, + strategy_id: str, + event_time: str, + items: List[Dict], + slot_key: Optional[str] = None, + ) -> int: + return self.insert_condition_universe_snapshot( + strategy_id=strategy_id, event_time=event_time, + items=items, slot_key=slot_key, + ) + + # ------------------------------------------------------------------ + # 백테스트 헬퍼: 특정 시점의 유니버스 복원 + # ------------------------------------------------------------------ + def get_universe_at( + self, *, strategy_id: str, at_time: str + ) -> List[Dict]: + """ + ``at_time`` ('YYYY-MM-DD HH:MM:SS') 시점에 봇이 보던 유니버스를 복원. + = 그 시각 이전의 가장 최근 event_time 스냅샷. + """ + self._ensure_history_columns() + try: + row = self.conn.execute( + """ + SELECT MAX(event_time) AS et + FROM target_candidates_history + WHERE strategy_id=%s AND event_time <= %s + """, + (strategy_id, at_time), + ).fetchone() + et = (row or {}).get("et") if row else None + if not et: + return [] + rows = self.conn.execute( + """ + SELECT code, name FROM target_candidates_history + WHERE strategy_id=%s AND event_time=%s + ORDER BY code + """, + (strategy_id, et), + ).fetchall() + return [{"code": r["code"], "name": r["name"]} for r in rows] + except Exception as e: + logger.error("get_universe_at 실패: %s", e) + return [] + + def iter_universe_events( + self, + *, + strategy_id: str, + start_time: str, + end_time: str, + ) -> List[Dict]: + """ + ``[start_time, end_time]`` 구간의 모든 스냅샷 이벤트를 시간순 반환. + 각 이벤트 = {"event_time": ..., "codes": [...]}. + 백테스트 루프에서 시점별 유니버스를 순회할 때 사용. + """ + self._ensure_history_columns() + try: + rows = self.conn.execute( + """ + SELECT event_time, code, name + FROM target_candidates_history + WHERE strategy_id=%s + AND event_time BETWEEN %s AND %s + ORDER BY event_time, code + """, + (strategy_id, start_time, end_time), + ).fetchall() + grouped: Dict[str, List[Dict]] = {} + for r in rows: + et = r["event_time"] + grouped.setdefault(et, []).append( + {"code": r["code"], "name": r["name"]} + ) + return [ + {"event_time": et, "items": items} + for et, items in sorted(grouped.items()) + ] + except Exception as e: + logger.error("iter_universe_events 실패: %s", e) + return [] + + def get_universe_by_candle_time( + self, + *, + strategy_id: str, + start_ymd: str, + end_ymd: str, + ) -> Dict[str, List[str]]: + """ + 백테스트 편의용 — 1분봉 캔들 시각(YYYYMMDDHHMM)을 키로 하는 유니버스 dict. + + 실매매는 10초 주기로 REST 를 돌려 변동 tick 마다 초단위 ``event_time`` + (YYYY-MM-DD HH:MM:SS) 으로 ``target_candidates_history`` 에 적재한다. + 반면 백테스트 엔진은 1분봉 단위로 돌아가므로, 각 캔들에 대해 + **그 캔들의 종가 형성 시각 (HH:MM:59) 이전의 가장 최근 스냅샷** 을 + 선택해 "그 시점에 봇이 보던 유니버스" 를 재현한다. + + Args: + strategy_id: 'SCALP' | 'SHORT' | 'BREAKOUT' + start_ymd: 시작일 YYYYMMDD + end_ymd: 종료일 YYYYMMDD + + Returns: + ``{candle_time(YYYYMMDDHHMM): [code, ...]}`` — + 해당 1분 캔들 종료 시점에 유효했던 유니버스 코드 리스트. + 스냅샷이 하나도 없으면 빈 dict. + """ + self._ensure_history_columns() + + # 조회 범위: 전일 마지막 스냅샷도 포함하기 위해 시작일 00:00:00 이전 1건은 + # 엔진 쪽에서 "이전에 유효했던 유니버스" 로 물려받는 게 자연스럽다. + # 단순화를 위해 start_ymd 00:00:00 ~ end_ymd 23:59:59 범위로 쿼리. + start_time = ( + f"{start_ymd[:4]}-{start_ymd[4:6]}-{start_ymd[6:8]} 00:00:00" + ) + end_time = ( + f"{end_ymd[:4]}-{end_ymd[4:6]}-{end_ymd[6:8]} 23:59:59" + ) + + events = self.iter_universe_events( + strategy_id=strategy_id, + start_time=start_time, + end_time=end_time, + ) + if not events: + return {} + + # 각 스냅샷의 event_time 을 'YYYYMMDDHHMMSS' (14자리 정수비교용) 으로 정규화. + # event_time 문자열은 이미 시간순 정렬됨 (iter_universe_events). + normalized: List[tuple] = [] + for ev in events: + et = str(ev.get("event_time") or "") + if len(et) < 19: + continue + et_key = ( + et[0:4] + et[5:7] + et[8:10] + + et[11:13] + et[14:16] + et[17:19] + ) # YYYYMMDDHHMMSS + codes = [it["code"] for it in ev.get("items", []) if it.get("code")] + normalized.append((et_key, codes)) + + if not normalized: + return {} + + out: Dict[str, List[str]] = {} + # candle_time 은 분단위 (YYYYMMDDHHMM). 각 캔들의 "종가 형성 시점" 은 + # 그 분의 59초로 본다 → candle_end_key = candle_time + "59". + # 스냅샷 포인터를 전진하며 O(N+M) 으로 매칭. + ev_idx = 0 + n_ev = len(normalized) + active_codes: List[str] = [] + + # 첫 이벤트 시각을 분단위로 내림 → 그 이전 캔들은 유니버스 없음 + first_ev_key = normalized[0][0] + + # 날짜별 장중 시간대 (09:00~15:30) 1분 단위로 캔들 시각 생성. + # DB 에 없는 시각도 dict 에 key 가 생기면 메모리 낭비이므로, 엔진이 실제 + # 요청하는 캔들 시각에 대해서만 값을 반환하도록 **lazy** 하게 넘기고 싶지만, + # 엔진 쪽은 dict lookup 만 하므로 여기서 미리 만들어 주는 편이 단순. + from datetime import datetime, timedelta + d0 = datetime.strptime(start_ymd, "%Y%m%d").date() + d1 = datetime.strptime(end_ymd, "%Y%m%d").date() + day = d0 + while day <= d1: + # 장중 대략 범위: 08:00 ~ 16:00 (pre/post 여유) + t = datetime.combine(day, datetime.min.time()).replace(hour=8) + t_end = datetime.combine(day, datetime.min.time()).replace(hour=16) + while t <= t_end: + candle_time = t.strftime("%Y%m%d%H%M") + candle_end_key = candle_time + "59" # YYYYMMDDHHMMSS + # 그 이전 또는 같은 시각의 가장 최근 event_time 까지 포인터 전진 + while ev_idx < n_ev and normalized[ev_idx][0] <= candle_end_key: + active_codes = normalized[ev_idx][1] + ev_idx += 1 + if active_codes and candle_end_key >= first_ev_key: + out[candle_time] = active_codes + t += timedelta(minutes=1) + day += timedelta(days=1) + + return out + + # ------------------------------------------------------------------ + # TradeDB 위임 (원본 API 그대로 사용) + # ------------------------------------------------------------------ + def __getattr__(self, name): + """TradeDBExt 에 없는 속성/메서드는 self.raw 에 위임.""" + return getattr(self.raw, name) diff --git a/kis_trader/execution/__init__.py b/kis_trader/execution/__init__.py new file mode 100644 index 0000000..1bd5ecb --- /dev/null +++ b/kis_trader/execution/__init__.py @@ -0,0 +1,5 @@ +"""kis_trader.execution — 주문 실행 계층 (KIS 클라이언트 + Master OrderManager).""" +from .kis_client import KISClient +from .order_manager import OrderManager, OrderRequest, OrderResult + +__all__ = ["KISClient", "OrderManager", "OrderRequest", "OrderResult"] diff --git a/kis_trader/execution/kis_client.py b/kis_trader/execution/kis_client.py new file mode 100644 index 0000000..befdf3d --- /dev/null +++ b/kis_trader/execution/kis_client.py @@ -0,0 +1,796 @@ +""" +kis_trader/execution/kis_client.py — 한국투자증권 REST 클라이언트 (통합) +========================================================================== +기존 kis_scalping_ver2.KISClient / kis_short_ver3.KISClient 의 공통 기능을 +SafeRequest 기반으로 통합. 두 봇이 독립 토큰을 발급받아 충돌나던 문제를 +`kis_token_manager` 위임으로 해결. + +제공 기능 (매매 봇이 쓰는 최소 세트): + - inquire_price : 현재가 + - get_account_balance : 계좌 잔고 (output1=종목별, output2=예수금) + - get_broker_holdings_map : 잔고 → {code: {qty, avg_price, name}} 맵 + - get_minute_chart : 분봉 (갭보정용) + - get_daily_chart : 일봉 (대/중/소형주 판정용) + - buy_order / sell_order : 매수·매도 주문 (ODNO 반환) + - get_execution_by_odno : 주문번호로 체결 확인 +""" +from __future__ import annotations + +import datetime +import logging +from datetime import datetime as dt +from pathlib import Path +from typing import Dict, List, Optional + +import pandas as pd + +from ..utils.env import ( + get_env_bool, + get_env_float, + get_env_from_db, + get_env_int, +) +from ..utils.logger import get_logger +from ..utils.request_handler import SafeRequest + +logger = get_logger("kis_trader.kis_client") + +# 토큰 캐시 경로 (프로젝트 루트와 동일 위치 공유) +_PROJECT_ROOT = Path(__file__).resolve().parent.parent.parent + + +class KISClient(SafeRequest): + """한국투자증권 REST API 통합 클라이언트. SafeRequest 상속.""" + + REAL_BASE = "https://openapi.koreainvestment.com:9443" + MOCK_BASE = "https://openapivts.koreainvestment.com:29443" + + def __init__( + self, + *, + mock: Optional[bool] = None, + app_key: Optional[str] = None, + app_secret: Optional[str] = None, + account_no: Optional[str] = None, + account_code: Optional[str] = None, + ): + # 최소 호출 간격 0.22초 ≈ 초당 4~5건 (한투 REST 제한 안전 마진) + super().__init__( + min_interval_sec=get_env_float("KIS_MIN_INTERVAL_SEC", 0.22), + max_retries=get_env_int("KIS_REST_MAX_RETRIES", 5), + backoff_base=1.0, + backoff_cap=get_env_float("KIS_REST_BACKOFF_CAP_SEC", 8.0), + timeout_sec=get_env_float("KIS_REST_TIMEOUT_SEC", 10.0), + ) + + self.mock = bool(get_env_bool("KIS_MOCK", True)) if mock is None else bool(mock) + if self.mock: + self.app_key = app_key or get_env_from_db("KIS_APP_KEY_MOCK", "") + self.app_secret = app_secret or get_env_from_db("KIS_APP_SECRET_MOCK", "") + self.account_no = account_no or get_env_from_db("KIS_ACCOUNT_NO_MOCK", "") + self.account_code = account_code or get_env_from_db( + "KIS_ACCOUNT_CODE_MOCK", "01" + ) + else: + self.app_key = app_key or get_env_from_db("KIS_APP_KEY_REAL", "") + self.app_secret = app_secret or get_env_from_db("KIS_APP_SECRET_REAL", "") + self.account_no = account_no or get_env_from_db("KIS_ACCOUNT_NO_REAL", "") + self.account_code = account_code or get_env_from_db( + "KIS_ACCOUNT_CODE_REAL", "01" + ) + + self.base_url = self.MOCK_BASE if self.mock else self.REAL_BASE + self._token: Optional[str] = None + # 마지막 주문 실패 원인 (매매불가, 잔고없음 등 분기) + self._last_order_msg_cd: Optional[str] = None + self._last_order_msg1: Optional[str] = None + self._last_sell_msg_cd: Optional[str] = None + self._last_sell_msg1: Optional[str] = None + + self._init_token() + + # ------------------------------------------------------------------ + # 토큰 + # ------------------------------------------------------------------ + def _init_token(self) -> None: + """kis_token_manager 경로로만 발급 (23시간 캐시, 파일 잠금 준수).""" + try: + from kis_token_manager import KisTokenManager, ensure_token + + # 캐시가 유효하면 즉시 사용, 만료면 재발급 + ensure_token(self.mock) + self._token = KisTokenManager.instance(is_mock=self.mock).get_token() + except Exception as e: + logger.warning("kis_token_manager 연동 실패: %s", e) + self._token = None + + def _refresh_token_if_needed(self) -> None: + """호출 직전 토큰 만료 임박 시 선제 갱신.""" + try: + from kis_token_manager import KisTokenManager + + fresh = KisTokenManager.instance(is_mock=self.mock).get_token() + if fresh: + self._token = fresh + except Exception: + pass + + # ------------------------------------------------------------------ + # 저수준 GET/POST + # ------------------------------------------------------------------ + def _headers(self, tr_id: str, is_post: bool = False) -> dict: + h = { + "authorization": f"Bearer {self._token}", + "appkey": self.app_key, + "appsecret": self.app_secret, + "tr_id": tr_id, + "custtype": "P", + } + if is_post: + h["content-type"] = "application/json; charset=utf-8" + return h + + def _get(self, path: str, tr_id: str, params: dict): + self._refresh_token_if_needed() + return self.get( + self.base_url + path, + headers=self._headers(tr_id), + params=params, + ) + + def _post(self, path: str, tr_id: str, body: dict): + self._refresh_token_if_needed() + return self.post( + self.base_url + path, + headers=self._headers(tr_id, is_post=True), + json_body=body, + ) + + # ------------------------------------------------------------------ + # 시세 + # ------------------------------------------------------------------ + def inquire_price(self, code: str) -> Optional[dict]: + """현재가 [v1_국내주식-007]""" + r = self._get( + "/uapi/domestic-stock/v1/quotations/inquire-price", + "FHKST01010100", + {"FID_COND_MRKT_DIV_CODE": "J", "FID_INPUT_ISCD": code}, + ) + if r.status_code != 200: + return None + j = r.json() + return j.get("output") if j.get("rt_cd") == "0" else None + + def inquire_index_price(self, index_code: str = "0001") -> Optional[dict]: + """ + 국내 업종지수 현재지수 [v1_국내주식-066] — MarketGuard 전용. + + index_code: + - "0001": KOSPI 종합 + - "1001": KOSDAQ 종합 + - "2001": KOSPI200 + + 반환 dict 주요 키: + - bstp_nmix_prpr : 현재 지수 + - bstp_nmix_prdy_clpr : 전일 종가 + - bstp_nmix_prdy_vrss : 전일 대비 + - bstp_nmix_prdy_ctrt : 전일 대비 등락률(%) + + FID_COND_MRKT_DIV_CODE = 'U' (업종/지수). 종목조회의 'J' 와 다름. + """ + r = self._get( + "/uapi/domestic-stock/v1/quotations/inquire-index-price", + "FHPUP02100000", + {"FID_COND_MRKT_DIV_CODE": "U", "FID_INPUT_ISCD": index_code}, + ) + if r.status_code != 200: + return None + j = r.json() + return j.get("output") if j.get("rt_cd") == "0" else None + + def get_minute_chart( + self, code: str, period: str = "1", limit: int = 100 + ) -> pd.DataFrame: + """ + 분봉 [v1_국내주식-017] — 갭 보정용. + + ⚠️ 한투 FHKST03010200 스펙: + * 1분봉만 지원 (period 인자는 상위 호출자 호환용으로만 유지) + * 1회 호출 ≤ 30봉, 응답은 최신→과거 역순 + * FID_INPUT_HOUR_1 = HHMMSS 형식의 "조회 커서 시각" + * 커서를 뒤로 밀며 페이지네이션해 limit 개수만큼 수집 + (holding_bot.fetch_and_store_min_candles 과 동일 패턴 — 검증된 파라미터) + """ + path = "/uapi/domestic-stock/v1/quotations/inquire-time-itemchartprice" + tr_id = "FHKST03010200" + try: + # 페이지네이션 커서 — 장중이면 현재 시각, 장 마감 후엔 15:30:00 + now = dt.now() + if now.hour < 9: + cursor_dt = now.replace(hour=15, minute=30, second=0, microsecond=0) \ + - datetime.timedelta(days=1) + elif now.hour > 15 or (now.hour == 15 and now.minute >= 30): + cursor_dt = now.replace(hour=15, minute=30, second=0, microsecond=0) + else: + cursor_dt = now + + rows: list = [] + seen: set = set() # 중복 제거용 (time 키) + # 최대 페이지 수 — 한 페이지 ≈ 30봉 기준 여유 있게 계산 + max_pages = max(1, (int(limit) // 25) + 2) + for _ in range(max_pages): + params = { + "FID_ETC_CLS_CODE": "", + "FID_COND_MRKT_DIV_CODE": "J", + "FID_INPUT_ISCD": code, + # HHMMSS 커서 (역순으로 이동) + "FID_INPUT_HOUR_1": cursor_dt.strftime("%H%M%S"), + "FID_PW_DATA_INCU_YN": "Y", # 과거 날짜 포함 + } + r = self._get(path, tr_id, params) + if r.status_code != 200: + break + j = r.json() + if j.get("rt_cd") != "0": + break + out = j.get("output2", []) + if not out: + break + + page_last_dt = None + for it in out: + try: + d = str(it.get("stck_bsop_date", "") or "") + t = str(it.get("stck_cntg_hour", "") or "000000") + if len(d) < 8 or len(t) < 6: + continue + # YYYYMMDDHHMM (12자리) — CandleAggregator.fill_gap_from_rest 호환 + tkey = d + t[:4] + if tkey in seen: + continue + seen.add(tkey) + rows.append({ + "time": tkey, + "open": abs(float(it.get("stck_oprc", 0))), + "high": abs(float(it.get("stck_hgpr", 0))), + "low": abs(float(it.get("stck_lwpr", 0))), + "close": abs(float(it.get("stck_clpr", 0))), + "volume": int(it.get("acml_vol", 0) or 0), + }) + # 절대 시각 파싱 → 다음 커서 계산용 + try: + page_last_dt = dt.strptime(d + t, "%Y%m%d%H%M%S") + except Exception: + pass + except Exception: + continue + + if len(rows) >= int(limit) or page_last_dt is None: + break + # 다음 페이지: 마지막(가장 오래된) 레코드 시각 - 1분 + cursor_dt = page_last_dt - datetime.timedelta(minutes=1) + # 장외시간으로 넘어가면 중단 (더 과거는 한투 FHKST03010200이 안 줌) + if cursor_dt.hour < 9 or (cursor_dt.hour == 15 and cursor_dt.minute >= 30) \ + or cursor_dt.hour > 15: + break + + if not rows: + return pd.DataFrame() + df = pd.DataFrame(rows).sort_values("time").reset_index(drop=True) + return df.tail(int(limit)) + except Exception as e: + logger.debug("분봉 조회 실패(%s): %s", code, e) + return pd.DataFrame() + + def get_daily_chart(self, code: str, limit: int = 10) -> pd.DataFrame: + """일봉 [v1_국내주식-017] — 거래대금(대/중/소형) 판정용.""" + path = "/uapi/domestic-stock/v1/quotations/inquire-daily-itemchartprice" + tr_id = "FHKST03010100" + try: + end_dt = dt.now() + start_dt = end_dt - datetime.timedelta(days=limit + 30) + r = self._get( + path, tr_id, + { + "FID_COND_MRKT_DIV_CODE": "J", + "FID_INPUT_ISCD": code, + "FID_INPUT_DATE_1": start_dt.strftime("%Y%m%d"), + "FID_INPUT_DATE_2": end_dt.strftime("%Y%m%d"), + "FID_PERIOD_DIV_CODE": "D", + "FID_ORG_ADJ_PRC": "1", + }, + ) + if r.status_code != 200: + return pd.DataFrame() + j = r.json() + if j.get("rt_cd") != "0": + return pd.DataFrame() + out = j.get("output2", []) + if not out: + return pd.DataFrame() + rows = [] + for it in out[:limit]: + try: + rows.append({ + "date": str(it.get("stck_bsop_date", "") or ""), + "open": abs(float(it.get("stck_oprc", 0))), + "high": abs(float(it.get("stck_hgpr", 0))), + "low": abs(float(it.get("stck_lwpr", 0))), + "close": abs(float(it.get("stck_clpr", 0))), + "volume": int(it.get("acml_vol", 0)), + }) + except Exception: + continue + if not rows: + return pd.DataFrame() + return pd.DataFrame(rows).sort_values("date").reset_index(drop=True) + except Exception as e: + logger.debug("일봉 조회 실패(%s): %s", code, e) + return pd.DataFrame() + + # ------------------------------------------------------------------ + # 랭킹 (거래량/거래대금/체결강도/등락률 상위 — FHPST01710000) + # ------------------------------------------------------------------ + # volume-rank API 는 tr_cont 를 받지 않는다. 1회 호출 ≤ 30~50건 반환. + # FID_BLNG_CLS_CODE: + # 0=평균거래량, 1=거래증가율, 2=평균거래회전율, + # 3=거래금액순, 4=등락률(상승), 5=등락률(하락), 6=체결강도순 + @staticmethod + def _is_valid_stock_for_rank(name: str, code: str) -> bool: + """스팩/ETN/레버리지/인버스/우선주 등 비본주 제외 (기존 kiwoom 스캐너 규칙과 동일).""" + if not code or not name: + return False + code = code.strip() + name = name.strip() + if len(code) != 6: + return False + nm = name.upper() + # ETN / ETF / 레버리지 / 인버스 + bad_kw = ("ETN", "ETF", "레버리지", "인버스", "2X", "3X", "선물", "KODEX", "TIGER", + "KBSTAR", "ARIRANG", "HANARO", "SOL ", "KOSEF", "ACE ", "KINDEX", + "파워", "히어로", "SMART", "TREX", "WON", "KOACT", "TIMEFOLIO") + if any(k in nm for k in bad_kw): + return False + # 스팩 (기업인수목적회사) + if "스팩" in name or "SPAC" in nm: + return False + # 우선주 (뒤에 우/우B 등) + if name.endswith("우") or name.endswith("우B") or name.endswith("(전환)"): + return False + return True + + def _filter_rank_rows(self, rows: list) -> list: + if not rows: + return [] + out = [] + for it in rows: + code = ( + it.get("mksc_shrn_iscd") or it.get("stk_cd") + or it.get("code") or "" + ).strip() + name = ( + it.get("hts_kor_isnm") or it.get("stk_nm") + or it.get("prst_name") or "" + ).strip() + if self._is_valid_stock_for_rank(name, code): + out.append(it) + return out + + def _fetch_volume_rank( + self, + *, + market: str = "J", + blng_cls_code: str = "0", + limit: int = 100, + exclude_non_stock: bool = True, + ) -> List[dict]: + """FHPST01710000 1회 호출 → rows.""" + path = "/uapi/domestic-stock/v1/quotations/volume-rank" + tr_id = "FHPST01710000" + params = { + "FID_COND_MRKT_DIV_CODE": market, + "FID_COND_SCR_DIV_CODE": "20171", + "FID_INPUT_ISCD": "0000", + "FID_DIV_CLS_CODE": "0", + "FID_BLNG_CLS_CODE": blng_cls_code, + "FID_TRGT_CLS_CODE": "111111111", + "FID_TRGT_EXLS_CLS_CODE": "0000000000", + "FID_INPUT_PRICE_1": "0", + "FID_INPUT_PRICE_2": "0", + "FID_VOL_CNT": "0", + "FID_INPUT_DATE_1": "", + } + try: + r = self._get(path, tr_id, params) + if r.status_code != 200: + logger.debug("랭킹 HTTP %s (blng=%s)", r.status_code, blng_cls_code) + return [] + j = r.json() + if j.get("rt_cd") != "0": + logger.debug( + "랭킹 실패 rt_cd=%s msg=%s", + j.get("rt_cd"), j.get("msg1"), + ) + return [] + rows = j.get("output") or [] + if isinstance(rows, dict): + rows = [rows] + if exclude_non_stock: + rows = self._filter_rank_rows(rows) + return rows[:limit] + except Exception as e: + logger.debug("랭킹 조회 예외 (blng=%s): %s", blng_cls_code, e) + return [] + + def get_volume_rank( + self, *, market: str = "J", limit: int = 100, exclude_non_stock: bool = True, + ) -> List[dict]: + """거래량 상위.""" + return self._fetch_volume_rank( + market=market, blng_cls_code="0", + limit=limit, exclude_non_stock=exclude_non_stock, + ) + + def get_trading_value_rank( + self, *, market: str = "J", limit: int = 100, exclude_non_stock: bool = True, + ) -> List[dict]: + """거래대금 상위.""" + return self._fetch_volume_rank( + market=market, blng_cls_code="3", + limit=limit, exclude_non_stock=exclude_non_stock, + ) + + def get_execution_strength_rank( + self, *, market: str = "J", limit: int = 100, exclude_non_stock: bool = True, + ) -> List[dict]: + """체결강도 상위 (매수세 강한 종목).""" + return self._fetch_volume_rank( + market=market, blng_cls_code="6", + limit=limit, exclude_non_stock=exclude_non_stock, + ) + + def get_price_change_rank( + self, + *, + market: str = "J", + sort_type: str = "up", + limit: int = 100, + exclude_non_stock: bool = True, + ) -> List[dict]: + """등락률 상위. sort_type='up' 상승, 'down' 하락(낙폭).""" + blng = "5" if str(sort_type).lower() in ("down", "decline", "2") else "4" + rows = self._fetch_volume_rank( + market=market, blng_cls_code=blng, + limit=limit, exclude_non_stock=exclude_non_stock, + ) + if rows or blng == "5": + return rows + # 일부 계정에서 4/5 미지원 → 거래량 fallback (상승만) + return self.get_volume_rank( + market=market, limit=limit, exclude_non_stock=exclude_non_stock, + ) + + def get_execution_strength_map( + self, *, market: str = "J", limit: int = 200, + ) -> Dict[str, float]: + """ + 체결강도 상위 조회 → {code: cntr_str(체결강도값)} 맵. + + ⚠️ 검증된 제약 (실호출 확인, 2025-04 기준): + * KIS volume-rank(FHPST01710000) 응답에 **체결강도 값 필드가 없음**. + 응답은 거래량/거래대금/회전율만 포함. 따라서 본 맵은 0.0 으로 채워짐. + * 모의투자 서버에서는 ``blng=6`` 정렬이 체결강도 순이 아닌 종목코드 순 + 으로 반환됨(실계좌는 정렬이 정상일 가능성 높음). + * ✅ **정확한 실시간 체결강도**는 WebSocket ``H0STCNT0`` 의 ``cttr`` + 필드를 사용할 것. ``WSManager.price_cache`` 에 이미 들어 있음. + + 실사용 가이드: + - 유니버스 시드만 필요하면 ``get_execution_strength_rank()`` 를 직접 호출 + (정렬 순서만 쓰고 값 파싱은 생략). + - 체결강도 값 기반 필터(≥ 120 등)는 전략 코드에서 WS tick 으로 해결. + """ + rows = self.get_execution_strength_rank(market=market, limit=limit) + out: Dict[str, float] = {} + for it in rows or []: + code = ( + it.get("mksc_shrn_iscd") or it.get("stk_cd") + or it.get("code") or "" + ).strip() + if not code or len(code) != 6: + continue + raw = ( + it.get("cntr_str") or it.get("exec_str") + or it.get("strg_rt") or "" + ) + try: + out[code] = float(str(raw).replace(",", "").strip()) if raw else 0.0 + except (ValueError, TypeError): + out[code] = 0.0 + return out + + # ------------------------------------------------------------------ + # 계좌/잔고 + # ------------------------------------------------------------------ + def get_account_balance(self) -> Optional[dict]: + """계좌 잔고 [국내주식-006] (inquire-balance).""" + tr_id = "VTTC8434R" if self.mock else "TTTC8434R" + try: + r = self._get( + "/uapi/domestic-stock/v1/trading/inquire-balance", + tr_id, + { + "CANO": self.account_no, "ACNT_PRDT_CD": self.account_code, + "AFHR_FLPR_YN": "N", "OFL_YN": "N", "INQR_DVSN": "01", + "UNPR_DVSN": "01", "FUND_STTL_ICLD_YN": "N", + "FNCG_AMT_AUTO_RDPT_YN": "N", "PRCS_DVSN": "00", + "CTX_AREA_FK100": "", "CTX_AREA_NK100": "", + }, + ) + if r.status_code != 200: + return None + j = r.json() + return j if j.get("rt_cd") == "0" else None + except Exception as e: + logger.error("계좌 잔고 조회 실패: %s", e) + return None + + def get_broker_holdings_map(self) -> Dict[str, Dict]: + """ + 잔고 API output1 → {code: {qty, avg_price, name, evlu_amt}} 맵 변환. + ** 모든 매도 주문 직전 이 맵으로 실제 보유 수량을 검증해야 한다. ** + """ + balance = self.get_account_balance() + if not balance: + return {} + output1 = balance.get("output1") or [] + if isinstance(output1, dict): + output1 = [output1] + result: Dict[str, Dict] = {} + for it in output1: + code = (it.get("pdno") or it.get("PDNO") or "").strip() + if not code: + continue + qty_raw = ( + it.get("hldg_qty") or it.get("HLDG_QTY") + or it.get("ord_psbl_qty") or it.get("ORD_PSBL_QTY") or 0 + ) + try: + qty = int(float(str(qty_raw).replace(",", ""))) + except Exception: + qty = 0 + if qty <= 0: + continue + avg_raw = it.get("pchs_avg_pric") or it.get("PCHS_AVG_PRIC") or 0 + try: + avg_price = abs(float(str(avg_raw).replace(",", ""))) + except Exception: + avg_price = 0.0 + name = (it.get("prdt_name") or it.get("PRDT_NAME") or code).strip() + evlu_raw = it.get("evlu_amt") or it.get("EVLU_AMT") or 0 + try: + evlu_amt = float(str(evlu_raw).replace(",", "")) + except Exception: + evlu_amt = 0.0 + result[code] = { + "qty": qty, + "avg_price": avg_price, + "name": name, + "evlu_amt": evlu_amt, + } + return result + + # ------------------------------------------------------------------ + # 주문 + # ------------------------------------------------------------------ + def _order( + self, + *, + code: str, + qty: int, + price: int, + order_type: str, + side: str, + ) -> Optional[str]: + """ + 주문 공통 호출. 성공 시 ODNO(str) 반환, 실패 시 None. + side: 'BUY' | 'SELL' + """ + side = side.upper() + if side == "BUY": + tr_id = "VTTC0802U" if self.mock else "TTTC0802U" + else: + tr_id = "VTTC0801U" if self.mock else "TTTC0801U" + path = "/uapi/domestic-stock/v1/trading/order-cash" + body = { + "CANO": self.account_no, "ACNT_PRDT_CD": self.account_code, + "PDNO": code, "ORD_DVSN": order_type, + "ORD_QTY": str(qty), "ORD_UNPR": str(price), + } + try: + r = self._post(path, tr_id, body) + if r.status_code != 200: + logger.error("주문 HTTP 에러 side=%s code=%s status=%s", + side, code, r.status_code) + return None + j = r.json() + if j.get("rt_cd") == "0": + if side == "BUY": + self._last_order_msg_cd = None + self._last_order_msg1 = None + else: + self._last_sell_msg_cd = None + self._last_sell_msg1 = None + ord_no = str((j.get("output") or {}).get("ODNO", "") or "").strip() + return ord_no or None + # 실패: 원인 저장 (매매불가/영업일 아님 등 분기용) + if side == "BUY": + self._last_order_msg_cd = j.get("msg_cd", "") + self._last_order_msg1 = str(j.get("msg1", "") or "") + logger.error( + "[매수주문실패] code=%s rt_cd=%s msg_cd=%s msg1=%s", + code, j.get("rt_cd"), + self._last_order_msg_cd, self._last_order_msg1, + ) + else: + self._last_sell_msg_cd = j.get("msg_cd", "") + self._last_sell_msg1 = str(j.get("msg1", "") or "") + logger.error( + "[매도주문실패] code=%s rt_cd=%s msg_cd=%s msg1=%s", + code, j.get("rt_cd"), + self._last_sell_msg_cd, self._last_sell_msg1, + ) + return None + except Exception as e: + logger.error("주문 예외 side=%s code=%s: %s", side, code, e) + return None + + def buy_market_order(self, code: str, qty: int) -> Optional[str]: + """시장가 매수. 실전은 USE_MARKET_IOC 설정 시 IOC(13), 아니면 일반 시장가(01).""" + if self.mock: + order_type = "01" + else: + order_type = "13" if get_env_bool("USE_MARKET_IOC", True) else "01" + return self._order( + code=code, qty=qty, price=0, order_type=order_type, side="BUY" + ) + + def buy_limit_order(self, code: str, qty: int, price: int) -> Optional[str]: + """지정가 매수 (ORD_DVSN=00). 돌파/꼬리잡기 전략에서 사용.""" + return self._order( + code=code, qty=qty, price=int(price), order_type="00", side="BUY" + ) + + def sell_market_order(self, code: str, qty: int) -> Optional[str]: + """시장가 매도. IOC 에러가 너무 빈번한 경우를 위해 기본 '01' 일반 시장가.""" + return self._order( + code=code, qty=qty, price=0, order_type="01", side="SELL" + ) + + # ------------------------------------------------------------------ + # 조건검색 (REST — 웹소켓은 공식 지원 안 함. 30초 폴링이 정석) + # ------------------------------------------------------------------ + def get_condition_list(self, user_id: str) -> List[Dict]: + """ + HTS/MTS 에 서버 저장된 조건식 목록 조회. + [국내주식] 시세분석 - 종목조건검색 목록조회 (psearch-title) + + Returns: [{"seq":"0","condition_name":"우상향돌파",...}, ...] + """ + try: + r = self._get( + "/uapi/domestic-stock/v1/quotations/psearch-title", + "HHKST03900300", + {"user_id": user_id}, + ) + if r.status_code != 200: + return [] + j = r.json() + if j.get("rt_cd") != "0": + return [] + out = j.get("output2") or [] + if isinstance(out, dict): + out = [out] + return out + except Exception as e: + logger.debug("조건식 목록 조회 실패: %s", e) + return [] + + def get_condition_result(self, user_id: str, seq: str) -> List[Dict]: + """ + 조건식에 걸려 있는 종목 목록 조회 (psearch-result). + Returns: [{"code":"005930","name":"삼성전자",...}, ...] + """ + try: + r = self._get( + "/uapi/domestic-stock/v1/quotations/psearch-result", + "HHKST03900400", + {"user_id": user_id, "seq": str(seq)}, + ) + if r.status_code != 200: + return [] + j = r.json() + if j.get("rt_cd") != "0": + return [] + out = j.get("output2") or [] + if isinstance(out, dict): + out = [out] + parsed: List[Dict] = [] + for it in out: + code = ( + it.get("code") or it.get("stck_shrn_iscd") + or it.get("mksc_shrn_iscd") or "" + ).strip() + if not code: + continue + name = ( + it.get("name") or it.get("hts_kor_isnm") + or it.get("stck_prpr") or code + ) + parsed.append({"code": code, "name": str(name).strip() or code}) + return parsed + except Exception as e: + logger.debug("조건검색 결과 조회 실패 (seq=%s): %s", seq, e) + return [] + + def get_order_history_today(self) -> Optional[dict]: + """당일 주문 내역 전체 조회 [국내주식-005 inquire-daily-ccld].""" + tr_id = "VTTC8001R" if self.mock else "TTTC8001R" + today = dt.now().strftime("%Y%m%d") + try: + r = self._get( + "/uapi/domestic-stock/v1/trading/inquire-daily-ccld", + tr_id, + { + "CANO": self.account_no, "ACNT_PRDT_CD": self.account_code, + "INQR_STRT_DT": today, "INQR_END_DT": today, + "SLL_BUY_DVSN_CD": "00", "INQR_DVSN": "00", "PDNO": "", + "CCLD_DVSN": "00", "ORD_GNO_BRNO": "", "ODNO": "", + "INQR_DVSN_3": "00", "INQR_DVSN_1": "", + "CTX_AREA_FK100": "", "CTX_AREA_NK100": "", + }, + ) + if r.status_code != 200: + return None + j = r.json() + return j if j.get("rt_cd") == "0" else None + except Exception as e: + logger.debug("주문 내역 조회 실패: %s", e) + return None + + def get_execution_by_odno( + self, ord_no: str, code: Optional[str] = None, wait_sec: float = 2.0 + ) -> Optional[Dict]: + """ + ODNO 로 당일 체결 조회. + 반환: {"filled_qty": int, "avg_price": float} 또는 None + """ + import time as _t + if not ord_no: + return None + _t.sleep(max(0.0, wait_sec)) + j = self.get_order_history_today() + if not j: + return None + out1 = j.get("output1") or [] + if isinstance(out1, dict): + out1 = [out1] + for row in out1: + row_odno = str(row.get("odno") or row.get("ODNO") or "").strip() + row_pdno = str(row.get("pdno") or row.get("PDNO") or "").strip() + if row_odno != str(ord_no).strip(): + continue + if code and row_pdno and row_pdno != str(code).strip(): + continue + filled = row.get("tot_ccld_qty") or row.get("TOT_CCLD_QTY") or 0 + avg = ( + row.get("avg_prvs") or row.get("AVG_PRVS") + or row.get("ord_unpr") or row.get("ORD_UNPR") or 0 + ) + try: + q = int(float(str(filled).replace(",", ""))) + p = float(str(avg).replace(",", "")) + except Exception: + continue + if q > 0 and p > 0: + return {"filled_qty": q, "avg_price": p} + return None diff --git a/kis_trader/execution/order_manager.py b/kis_trader/execution/order_manager.py new file mode 100644 index 0000000..648d741 --- /dev/null +++ b/kis_trader/execution/order_manager.py @@ -0,0 +1,510 @@ +""" +kis_trader/execution/order_manager.py — Master Executor +======================================================== +두 전략(스캘핑/꼬리잡기)이 공유하는 "단 하나의 주문 실행자". + +설계 목적: + * 전략은 **시그널만 생성**한다. 주문 실행은 전부 여기서 직렬화 처리. + * 매수 전 실계좌 잔고 재확인 → 다른 전략이 이미 보유 중이면 차단. + * 매도 전 실계좌 잔고 재확인 → 실제 보유 0 이면 매도 시도 자체를 차단 + (DB·메모리 정리까지 한 번에). + * 주문번호(ODNO) 기준 UNIQUE 제약으로 **서버단 중복 차단**. + +정책 (env_config 로 제어): + * ``STRATEGY_SAME_CODE_POLICY`` + - ``block`` (기본): 한 종목은 한 전략만. 다른 전략이 이미 들고 있으면 신규 매수 차단. + - ``allow`` : 두 전략 독립 보유 허용 (기존 복합PK 구조 유지). + * ``REAL_BALANCE_VERIFY_BEFORE_SELL`` (기본 True): 매도 전 실잔고 조회. + * ``REAL_BALANCE_VERIFY_BEFORE_BUY`` (기본 True): 매수 전 실잔고 조회. +""" +from __future__ import annotations + +import datetime +import threading +import time +from collections import defaultdict +from dataclasses import dataclass, field +from datetime import datetime as dt +from typing import Callable, Dict, Optional + +from ..database.db_manager import TradeDBExt +from ..utils.env import get_env_bool, get_env_from_db, get_env_int +from ..utils.logger import LOG_CYAN, LOG_GREEN, LOG_RED, LOG_RESET, LOG_YELLOW, get_logger, msg_mm +from .kis_client import KISClient + +logger = get_logger("kis_trader.order_mgr") + + +@dataclass +class OrderRequest: + """전략이 OrderManager 에 넘기는 주문 요청.""" + strategy_id: str + code: str + name: str + side: str # 'BUY' | 'SELL' + qty: int + price_ref: float = 0.0 # 참고가(로그/DB용, 시장가 주문이라도 체결 추정치) + reason: str = "" # 매도 사유 + # 매수 시 포지션 관리용 부가 정보 + stop_price: float = 0.0 + target_price: float = 0.0 + atr_entry: float = 0.0 + size_class: Optional[str] = None + entry_features: Optional[Dict] = None + # 매도 시 계산 결과 전달 (로그용) + buy_price: float = 0.0 + profit_pct: float = 0.0 + + +@dataclass +class OrderResult: + success: bool + ord_no: Optional[str] = None + filled_qty: int = 0 + filled_avg_price: float = 0.0 + reason: str = "" # 실패 사유 (차단/거부/오류) + request: Optional[OrderRequest] = None + extra: Dict = field(default_factory=dict) + + +class OrderManager: + """ + 단일 주문 실행자 (싱글톤처럼 운용). + - 종목별 Lock → 같은 종목에 대한 요청 직렬화. + - 실잔고 캐시 (짧은 TTL) → API 호출 횟수 절감. + """ + + # 실잔고 캐시 TTL (초). 너무 짧으면 API 폭주, 너무 길면 sync out. + _HOLDINGS_CACHE_TTL = 2.0 + + def __init__(self, *, client: KISClient, db: TradeDBExt): + self.client = client + self.db = db + # 종목별 Lock: 한 종목에 대한 주문 요청은 순차 처리 + self._code_locks: Dict[str, threading.Lock] = defaultdict(threading.Lock) + # 전역 Lock: _code_locks 인스턴스 생성 시 경합 방지 + self._global_lock = threading.Lock() + # 실잔고 맵 캐시 + self._holdings_cache: Optional[Dict[str, Dict]] = None + self._holdings_cache_ts: float = 0.0 + self._holdings_lock = threading.Lock() + # 매도 실패 백오프 (영업일 아님 등) + self._sell_backoff: Dict[str, float] = {} + # 체결 알림에 덧붙일 자산 요약 라인 생성기(주입식). + # TradingOrchestrator.start() 가 self._asset_line_for_notify 를 세팅. + # signature: (side: str, extra: Optional[Dict]) -> str (여러 줄 가능) + self.asset_line_provider: Optional[Callable[..., str]] = None + + # ------------------------------------------------------------------ + # Lock 헬퍼 + # ------------------------------------------------------------------ + def _lock_for(self, code: str) -> threading.Lock: + with self._global_lock: + return self._code_locks[code] + + # ------------------------------------------------------------------ + # 실잔고 조회 (캐시) + # ------------------------------------------------------------------ + def get_broker_holdings(self, force: bool = False) -> Dict[str, Dict]: + """ + 실계좌 잔고 맵 {code: {qty, avg_price, ...}}. + TTL 캐시로 API 폭주 방지. + """ + now = time.time() + with self._holdings_lock: + if ( + not force + and self._holdings_cache is not None + and (now - self._holdings_cache_ts) < self._HOLDINGS_CACHE_TTL + ): + return dict(self._holdings_cache) + m = self.client.get_broker_holdings_map() + # API 호출 실패 시 빈 dict 반환 → 정책상 "알 수 없음"으로 간주. + if m is not None: + self._holdings_cache = m + self._holdings_cache_ts = now + return dict(m) + return {} + + def invalidate_holdings_cache(self) -> None: + with self._holdings_lock: + self._holdings_cache = None + self._holdings_cache_ts = 0.0 + + # ------------------------------------------------------------------ + # 공개 API + # ------------------------------------------------------------------ + def place(self, req: OrderRequest) -> OrderResult: + """전략이 호출하는 유일한 진입점. BUY / SELL 모두 처리.""" + side = (req.side or "").upper() + if side == "BUY": + return self._place_buy(req) + if side == "SELL": + return self._place_sell(req) + return OrderResult(success=False, reason=f"invalid side={req.side}", request=req) + + # ------------------------------------------------------------------ + # 매수 + # ------------------------------------------------------------------ + def _place_buy(self, req: OrderRequest) -> OrderResult: + if req.qty <= 0: + return OrderResult(False, reason="qty<=0", request=req) + + with self._lock_for(req.code): + # ── [1] 같은 종목 다른 전략 보유 여부 체크 ───────────────── + policy = str(get_env_from_db("STRATEGY_SAME_CODE_POLICY", "block")).lower() + if policy == "block": + # 다른 전략이 이미 active_trades 에 들고 있으면 차단 + blocked = self._is_code_held_by_other_strategy( + req.code, req.strategy_id + ) + if blocked: + logger.warning( + "%s🚫 [중복종목차단] %s %s → 다른 전략(%s) 보유 중 → 매수 스킵%s", + LOG_YELLOW, req.name, req.code, blocked, LOG_RESET, + ) + return OrderResult(False, reason=f"held_by_{blocked}", request=req) + + # ── [2] 실계좌 잔고 재검증 (선택적) ──────────────────────── + if get_env_bool("REAL_BALANCE_VERIFY_BEFORE_BUY", True): + real_map = self.get_broker_holdings() + if req.code in real_map and real_map[req.code]["qty"] > 0: + logger.warning( + "%s🚫 [이미실보유] %s %s × %d주 → 매수 스킵%s", + LOG_YELLOW, req.name, req.code, + real_map[req.code]["qty"], LOG_RESET, + ) + return OrderResult(False, reason="already_held_broker", request=req) + + # ── [3] 주문 전송 ──────────────────────────────────────── + ord_no = self.client.buy_market_order(req.code, req.qty) + if not ord_no: + cd = self.client._last_order_msg_cd or "" + m1 = self.client._last_order_msg1 or "" + reason = f"order_reject:{cd or m1}" + logger.error( + "%s❌ [매수주문거부] %s %s: %s%s", + LOG_RED, req.name, req.code, m1 or cd, LOG_RESET, + ) + return OrderResult(False, reason=reason, request=req) + + # ── [4] DB에 주문 기록 (ODNO PK, 전략단위 UNIQUE) ────────── + inserted = self.db.insert_order( + ord_no=ord_no, + strategy_id=req.strategy_id, + code=req.code, name=req.name, + side="BUY", qty=req.qty, + price=req.price_ref, + status="SUBMITTED", + ) + if not inserted: + # ORDERS UNIQUE 위반 = "이미 같은 전략·같은 종목·같은 날·같은 방향" + # 아주 드문 케이스(동일 시각 중복 호출). 상태 REJECT 로 두고 스킵. + logger.warning( + "⚠️ [주문 UNIQUE 충돌] strategy=%s code=%s ord_no=%s — 이미 DB 기록 존재", + req.strategy_id, req.code, ord_no, + ) + return OrderResult( + False, ord_no=ord_no, reason="duplicate_order_record", request=req, + ) + + # ── [5] 체결 확인 ──────────────────────────────────────── + wait_sec = float(get_env_int("ORDER_FILL_WAIT_SEC", 2)) + fill = self.client.get_execution_by_odno(ord_no, code=req.code, wait_sec=wait_sec) + if fill: + filled_qty = fill["filled_qty"] + filled_price = fill["avg_price"] + self.db.update_order_fill( + ord_no=ord_no, + filled_qty=filled_qty, + filled_avg_price=filled_price, + status=("FILLED" if filled_qty == req.qty else "PARTIAL"), + ) + # 모의서버에서 빈번한 부분체결 감지 → 사용자 인지용 경고 로그 + if 0 < filled_qty < req.qty: + miss = req.qty - filled_qty + logger.warning( + "%s⚠️ [매수 부분체결] [%s] %s %s: 주문 %d주 → 체결 %d주 (미체결 %d주, ODNO=%s)%s", + LOG_YELLOW, req.strategy_id, req.name, req.code, + req.qty, filled_qty, miss, ord_no, LOG_RESET, + ) + else: + # 체결 확인 실패 → 주문 수량/시그널가 기준으로 가정 저장 + filled_qty = req.qty + filled_price = req.price_ref + self.db.update_order_fill( + ord_no=ord_no, + filled_qty=filled_qty, + filled_avg_price=filled_price, + status="SUBMITTED", + ) + + # ── [6] active_trades upsert (전략별 독립 row) ──────────── + now_str = dt.now().strftime("%Y-%m-%d %H:%M:%S") + self.db.upsert_trade({ + "code": req.code, + "name": req.name, + "strategy": req.strategy_id, + "avg_buy_price": filled_price, + "current_price": filled_price, + "stop_price": req.stop_price, + "target_price": req.target_price, + "max_price": filled_price, + "atr_entry": req.atr_entry, + "target_qty": filled_qty, + "current_qty": filled_qty, + "total_invested": filled_price * filled_qty, + "status": "HOLDING", + "buy_date": now_str, + "size_class": req.size_class or "", + "entry_features": req.entry_features or {}, + }) + # 실잔고 캐시 무효화 + self.invalidate_holdings_cache() + + logger.info( + "%s✅ [매수체결] [%s] %s %s @ %d원 × %d주 (ODNO=%s)%s", + LOG_GREEN, req.strategy_id, req.name, req.code, + int(filled_price), filled_qty, ord_no, LOG_RESET, + ) + # 체결 알림 (매매 루프 내부에서 호출되므로 jitter=False) + try: + disp = _strategy_display(req.strategy_id) + header = ( + f"🔷 **[매수체결:{disp}]** {req.name}({req.code})\n" + f"{filled_price:,.0f}원 × {filled_qty}주 = {filled_price*filled_qty:,.0f}원\n" + f"손절 {req.stop_price:,.0f} / 목표 {req.target_price:,.0f} (ODNO={ord_no})" + ) + tail = "" + if self.asset_line_provider is not None: + try: + tail = self.asset_line_provider("BUY", None) or "" + except Exception as _e: + logger.debug("asset_line_provider(BUY) 실패: %s", _e) + tail = "" + msg = header + ("\n" + tail if tail else "") + msg_mm( + msg, + channel_alias=_strategy_mm_channel(req.strategy_id), + jitter=False, + ) + except Exception: + pass + + return OrderResult( + True, ord_no=ord_no, + filled_qty=filled_qty, filled_avg_price=filled_price, + request=req, + ) + + # ------------------------------------------------------------------ + # 매도 + # ------------------------------------------------------------------ + def _place_sell(self, req: OrderRequest) -> OrderResult: + if req.qty <= 0: + return OrderResult(False, reason="qty<=0", request=req) + + with self._lock_for(req.code): + # ── [1] 매도 실패 백오프 ─────────────────────────────────── + backoff_until = self._sell_backoff.get(req.code, 0.0) + if time.time() < backoff_until: + remain = int(backoff_until - time.time()) + logger.debug( + "⏸ [매도백오프] %s(%s) — %d초 남음", + req.name, req.code, remain, + ) + return OrderResult(False, reason="sell_backoff", request=req) + + # ── [2] 실계좌 잔고 재검증 ───────────────────────────────── + real_qty = None + if get_env_bool("REAL_BALANCE_VERIFY_BEFORE_SELL", True): + real_map = self.get_broker_holdings(force=True) + real_row = real_map.get(req.code) + real_qty = int((real_row or {}).get("qty", 0)) + if real_qty <= 0: + # 브로커에 없는데 DB/메모리에만 남은 유령 포지션 → 강제 정리 + logger.warning( + "%s⚠️ [유령잔고정리] [%s] %s %s: 브로커 0주 → 로컬 active_trades 삭제%s", + LOG_YELLOW, req.strategy_id, req.name, req.code, LOG_RESET, + ) + self.db.delete_active_trade(code=req.code, strategy=req.strategy_id) + return OrderResult(False, reason="broker_no_position", request=req) + # 실제 보유수량 > 요청수량이면 요청수량만 매도 (다른 전략 몫 보호) + sell_qty = min(req.qty, real_qty) + if sell_qty < req.qty: + # 원인: (1) 모의서버 매수 부분체결 (2) 잔고 반영 지연 + # → 실 브로커 수량 기준으로만 매도 (안전) + logger.warning( + "%s⚠️ [매도수량조정] [%s] %s %s: 요청 %d주 → 실보유 %d주 " + "(미체결 매수 %d주 추정 — 모의서버 부분체결 가능)%s", + LOG_YELLOW, req.strategy_id, req.name, req.code, + req.qty, sell_qty, req.qty - sell_qty, LOG_RESET, + ) + else: + sell_qty = req.qty + + # ── [3] 주문 전송 ───────────────────────────────────────── + ord_no = self.client.sell_market_order(req.code, sell_qty) + if not ord_no: + cd = self.client._last_sell_msg_cd or "" + m1 = self.client._last_sell_msg1 or "" + non_biz = {"40100000", "40200000", "APBK0013", "APBK0962", "40910000"} + if cd in non_biz or any(k in m1 for k in ("영업일", "장외", "시장")): + backoff_sec = get_env_int("SELL_FAILURE_BACKOFF_SEC", 1800) + self._sell_backoff[req.code] = time.time() + backoff_sec + logger.warning( + "⏸ [%s(%s)] 매도 실패(%s) → %d초 백오프", + req.name, req.code, m1 or cd, backoff_sec, + ) + elif "잔고" in m1 or "보유" in m1 or "APBK3020" in cd: + # 브로커 잔고 없음 → DB 정리 + logger.warning( + "⚠️ [유령잔고응답] %s %s: 로컬 active_trades 삭제", + req.name, req.code, + ) + self.db.delete_active_trade(code=req.code, strategy=req.strategy_id) + return OrderResult(False, reason=f"sell_reject:{cd or m1}", request=req) + + # ── [4] 주문 기록 ──────────────────────────────────────── + self.db.insert_order( + ord_no=ord_no, strategy_id=req.strategy_id, + code=req.code, name=req.name, + side="SELL", qty=sell_qty, + price=req.price_ref, + status="SUBMITTED", + ) + + # ── [5] 체결 확인 ───────────────────────────────────────── + wait_sec = float(get_env_int("ORDER_FILL_WAIT_SEC", 2)) + fill = self.client.get_execution_by_odno(ord_no, code=req.code, wait_sec=wait_sec) + if fill: + self.db.update_order_fill( + ord_no=ord_no, + filled_qty=fill["filled_qty"], + filled_avg_price=fill["avg_price"], + status="FILLED" if fill["filled_qty"] == sell_qty else "PARTIAL", + ) + sell_price = fill["avg_price"] + filled_qty = fill["filled_qty"] + else: + # 체결 확인 실패 → 시그널 참고가로 가정 + sell_price = req.price_ref or req.buy_price + filled_qty = sell_qty + self.db.update_order_fill( + ord_no=ord_no, filled_qty=filled_qty, + filled_avg_price=sell_price, status="SUBMITTED", + ) + + # ── [6] 손익 계산 + active_trades→trade_history 이동 ─────── + # 수수료/거래세 반영한 순손익 계산 (전략 공통 규칙 + .cursorrules) + fee_rate = float(get_env_from_db("FEE_RATE_PCT", "0.015")) / 100.0 + tax_rate = float(get_env_from_db("SELL_TAX_RATE_PCT", "0.18")) / 100.0 + buy_price = req.buy_price or 0 + if buy_price > 0: + fees = ( + buy_price * filled_qty * fee_rate + + sell_price * filled_qty * (fee_rate + tax_rate) + ) + realized_pnl = (sell_price - buy_price) * filled_qty - fees + else: + realized_pnl = None # close_trade 내부에서 gross 로 계산 + + self.db.close_trade( + code=req.code, + sell_price=sell_price, + sell_reason=req.reason or "", + strategy=req.strategy_id, + realized_pnl_override=realized_pnl, + ) + self.invalidate_holdings_cache() + + color = LOG_GREEN if (realized_pnl is None or realized_pnl >= 0) else LOG_RED + logger.info( + "%s💸 [매도체결] [%s] %s %s × %d주 @ %d원 | 사유=%s (ODNO=%s)%s", + color, req.strategy_id, req.name, req.code, + filled_qty, int(sell_price), req.reason, ord_no, LOG_RESET, + ) + try: + emoji = "🟢" if (realized_pnl is None or realized_pnl >= 0) else "🔴" + pnl_str = f"{realized_pnl:+,.0f}원" if realized_pnl is not None else "-" + disp = _strategy_display(req.strategy_id) + header = ( + f"{emoji} **[매도체결:{disp}]** {req.name}({req.code})\n" + f"{sell_price:,.0f}원 × {filled_qty}주 | {req.reason} | " + f"수익률 {req.profit_pct*100:+.2f}% (실현 {pnl_str}) (ODNO={ord_no})" + ) + tail = "" + if self.asset_line_provider is not None: + try: + tail = self.asset_line_provider( + "SELL", + {"realized_pnl": realized_pnl}, + ) or "" + except Exception as _e: + logger.debug("asset_line_provider(SELL) 실패: %s", _e) + tail = "" + msg = header + ("\n" + tail if tail else "") + msg_mm( + msg, + channel_alias=_strategy_mm_channel(req.strategy_id), + jitter=False, + ) + except Exception: + pass + + return OrderResult( + True, ord_no=ord_no, + filled_qty=filled_qty, filled_avg_price=sell_price, + request=req, + ) + + # ------------------------------------------------------------------ + # 내부 유틸 + # ------------------------------------------------------------------ + def _is_code_held_by_other_strategy( + self, code: str, strategy_id: str + ) -> Optional[str]: + """ + active_trades 에서 code 를 strategy_id 가 아닌 다른 전략이 들고 있는지 확인. + 반환: 다른 전략 ID 문자열 (없으면 None). + """ + try: + cursor = self.db.conn.execute( + "SELECT strategy FROM active_trades WHERE code=%s", + (code,), + ) + rows = cursor.fetchall() or [] + for r in rows: + strat = r.get("strategy") if isinstance(r, dict) else r[0] + if strat and strat != strategy_id: + return strat + return None + except Exception as e: + logger.debug("active_trades 교차 조회 실패(%s): %s", code, e) + return None + + +def _strategy_mm_channel(strategy_id: str) -> str: + """전략별 MM 채널 alias. 환경변수에 없으면 기본 채널로 폴백.""" + if strategy_id.startswith("SCALP"): + return str(get_env_from_db("KIS_SCALP_MM_CHANNEL", "scalping")) + if strategy_id.startswith("SHORT"): + return str(get_env_from_db("KIS_SHORT_MM_CHANNEL", "stock")) + return str(get_env_from_db("MATTERMOST_CHANNEL", "stock")) + + +def _strategy_display(strategy_id: str) -> str: + """ + 알림 문구에 노출되는 전략 라벨. + 내부 ID('SHORT' = 꼬리잡기)는 사용자 직관 맞춰 'TAIL' 로 표기. + - SCALP → 'SCALP' + - SHORT → 'TAIL' + - SHORT_ANT_* → 'TAIL_ANT_*' (prefix 교체) + - 그 외 → 그대로 반환 + """ + sid = strategy_id or "" + if sid == "SHORT": + return "TAIL" + if sid.startswith("SHORT"): + return "TAIL" + sid[len("SHORT"):] + return sid diff --git a/kis_trader/main.py b/kis_trader/main.py new file mode 100644 index 0000000..6b82031 --- /dev/null +++ b/kis_trader/main.py @@ -0,0 +1,842 @@ +""" +kis_trader/main.py — 통합 오케스트레이터 +========================================== +구조: + [공유 인프라] KISClient, TradeDBExt, WSManager, OrderManager + [전략 쓰레드] ScalpingStrategy(독립 Thread), TailCatchStrategy(독립 Thread) + +전략 스위치 (DB env_config 또는 OS env): + - ``STRATEGY_SCALP_ENABLED`` (기본 true) + - ``STRATEGY_SHORT_ENABLED`` (기본 true) + - ``STRATEGY_BREAKOUT_ENABLED`` (기본 false) + - ``STRATEGY_SAME_CODE_POLICY`` (block|allow, 기본 block — OrderManager 에서 사용) + +유니버스 소스 스위치 (전략별, 런타임 교체 가능): + - ``SCALP_UNIVERSE_SOURCE`` (기본 "ranking") + - ``SHORT_UNIVERSE_SOURCE`` (기본 "ranking") + - ``BREAKOUT_UNIVERSE_SOURCE`` (기본 "condition") + 값: "ranking" | "condition" + + ── "ranking" (KIS 거래량/체결강도 상위 REST) ── + - ``RANKING_POLL_INTERVAL_SEC`` : 폴링 주기 (기본 10) + - 전략별 세부 설정: + SCALP : ``RANK_SCALP_SORT`` (기본 volume) / ``RANK_SCALP_LIMIT`` (기본 100) + SHORT : ``RANK_SHORT_SORT`` (기본 volume) / ``RANK_SHORT_LIMIT`` (기본 100) + BREAKOUT : ``RANK_BREAKOUT_SORT`` (기본 trading_value) / ``RANK_BREAKOUT_LIMIT`` (기본 100) + - sort 값: volume | trading_value | strength | fluct_up | fluct_down + + ── "condition" (HTS 조건식 REST) ── + - ``KIS_HTS_ID`` : 조건식이 저장된 HTS 로그인 ID (필수) + - ``CONDITION_POLL_INTERVAL_SEC``: 폴링 주기 초 (기본 10) + - 전략별: + SCALP : ``CONDITION_SCALP_NAME`` / ``CONDITION_SCALP_SEQ`` + SHORT : ``CONDITION_SHORT_NAME`` / ``CONDITION_SHORT_SEQ`` + BREAKOUT: ``CONDITION_BREAKOUT_NAME`` / ``CONDITION_BREAKOUT_SEQ`` + + 공통: + - ``UNIVERSE_HISTORY_SAVE`` : 변동 감지 tick 마다 target_candidates_history 에 + 초단위 event_time 으로 **즉시** INSERT (기본 true). 버퍼/배치 flush 없음. + +실행: + $ cd ~/kis_bot + $ python -m kis_trader.main +""" +from __future__ import annotations + +import os +import signal +import sys +import time +from datetime import datetime as dt +from typing import Any, Dict, List, Optional + +# 패키지로 실행되지 않은 경우(스크립트 직접 실행) sys.path 보정 +if __package__ in (None, ""): + _ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) + if _ROOT not in sys.path: + sys.path.insert(0, _ROOT) + __package__ = "kis_trader" # noqa: F841 + +from .database.db_manager import get_db +from .execution.kis_client import KISClient +from .execution.order_manager import OrderManager +from .network.condition_manager import ConditionSearchManager +from .network.market_guard import MarketGuard +from .network.ranking_manager import VolumeRankManager +from .network.ws_manager import WSManager +from .strategies import BreakoutStrategy, ScalpingStrategy, TailCatchStrategy +from .strategies.base import BaseStrategy +from .utils.env import get_env_bool, get_env_float, get_env_from_db, get_env_int +from .utils.logger import get_logger, msg_mm, msg_tg + +logger = get_logger("kis_trader.main") + + +class TradingOrchestrator: + """전체 라이프사이클 관리 (공유 인프라 초기화 → 전략 쓰레드 기동 → 정리).""" + + # 전략별 UNIVERSE_SOURCE 기본값 (BaseStrategy 와 동기화) + _DEFAULT_SOURCE = { + "SCALP": "ranking", + "SHORT": "ranking", + "BREAKOUT": "condition", + } + _DEFAULT_RANK_SORT = { + "SCALP": "volume", + "SHORT": "volume", + "BREAKOUT": "trading_value", + } + + def __init__(self): + self.db = get_db() + # ── KIS 클라이언트 분리 정책 ──────────────────────────────────── + # 한투 모의 서버는 시세/조회 API (분봉 inquire-time-itemchartprice, + # 조건검색 psearch-*, 거래량순위 volume-rank 등) 다수가 미지원/HTTP 500. + # 정책: **조회는 무조건 실키, 매매·계좌만 KIS_MOCK 따름.** + # + # self.client → 매매/계좌 (KIS_MOCK 따름) → OrderManager 주입 + # 예: 주문 place, get_account_balance, 체결조회 + # self.market_client → 시세/조회 (항상 실키) → 전략·WS·조건·랭킹 주입 + # 예: inquire_price, get_minute_chart, condition, + # volume_rank 등 GET 류 + # 실키(KIS_APP_KEY_REAL/_SECRET_REAL) 미설정 시 market_client = self.client + # 폴백 + 워닝. 그 경우 모의 도메인으로 시세 호출 가능 → 일부 500 발생. + self.client = KISClient() # 거래용 (mock or real) + self._market_data_client: KISClient | None = None # lazy 실키 + self.market_client: KISClient = self._build_market_client() + self.order_mgr = OrderManager(client=self.client, db=self.db) + self.ws = WSManager(db=self.db, kis_client=self.market_client) + self.condition_mgr: ConditionSearchManager | None = None + self.ranking_mgr: VolumeRankManager | None = None + # 시장 급락 서킷브레이커 (KOSPI/KOSDAQ 지수 폭락 시 신규 매수 전면 차단). + # 지수 조회는 모의 도메인 미지원 가능성 → 실키 우선, 폴백 self.client. + self.market_guard: MarketGuard | None = None + self.strategies: List[BaseStrategy] = [] + self._stop = False + + # ── [자산/리포트 상태] ───────────────────────────────────────── + # - start_day_asset: 장 시작 시점 총자산(예수금+평가액). + # 매수/매도 알림의 '당일손익', 장마감 리포트 계산 기준. + # - total_deposit: 총 입금액 (env_config.TOTAL_DEPOSIT). 누적손익 기준. + # - _asset_cache: get_account_balance() 캐시 (API 호출 폭주 방지) + # - _closing_report_date / _final_report_date: 당일 리포트 중복 발송 가드 + self.start_day_asset: float = 0.0 + self.total_deposit: float = get_env_float("TOTAL_DEPOSIT", 0.0) or 0.0 + self._asset_cache: Optional[Dict[str, Any]] = None + self._asset_cache_ts: float = 0.0 + self._asset_cache_ttl: float = float(get_env_int("ASSET_CACHE_TTL_SEC", 2)) + self._closing_report_date: str = "" + self._final_report_date: str = "" + # start_day_asset 조회가 모의 서버 500 등으로 실패할 때 무한 재시도 방지. + # 다음 시도 가능 epoch (0 = 즉시 가능). 실패 시 N초 백오프. + # 한투 모의 inquire-balance 가 간헐 500 → 20초 hb 마다 폭주하던 이슈 방지. + self._start_asset_retry_at: float = 0.0 + self._start_asset_backoff_sec: int = get_env_int( + "START_ASSET_RETRY_BACKOFF_SEC", 300 + ) + + # OrderManager 에 체결 알림용 '자산 요약 라인 생성기' 주입. + # (None 이면 기존 간단 문구만 나감) + try: + self.order_mgr.asset_line_provider = self._asset_line_for_notify # type: ignore[attr-defined] + except Exception: + pass + + # ------------------------------------------------------------------ + def _register_strategies(self) -> None: + # 전략 BaseStrategy.client = 시세/조회 전용 (항상 실키 또는 폴백). + # 매매는 self.order_mgr 경유라서 trade client (self.client) 가 별도로 들어감. + shared = dict( + db=self.db, client=self.market_client, ws=self.ws, order_mgr=self.order_mgr, + condition_mgr=self.condition_mgr, + ranking_mgr=self.ranking_mgr, + market_guard=self.market_guard, + ) + + if get_env_bool("STRATEGY_SCALP_ENABLED", True): + self.strategies.append(ScalpingStrategy(**shared)) + logger.info("✅ [전략 등록] SCALP (%s)", self._universe_tag("SCALP")) + else: + logger.info("⏸ [전략 비활성] SCALP") + + if get_env_bool("STRATEGY_SHORT_ENABLED", True): + self.strategies.append(TailCatchStrategy(**shared)) + logger.info("✅ [전략 등록] SHORT (Tail Catch) (%s)", + self._universe_tag("SHORT")) + else: + logger.info("⏸ [전략 비활성] SHORT") + + if get_env_bool("STRATEGY_BREAKOUT_ENABLED", False): + self.strategies.append(BreakoutStrategy(**shared)) + logger.info("✅ [전략 등록] BREAKOUT (%s)", + self._universe_tag("BREAKOUT")) + else: + logger.info("⏸ [전략 비활성] BREAKOUT") + + if not self.strategies: + logger.error("전략이 하나도 활성화되지 않음 → 종료") + sys.exit(1) + + def _resolve_source(self, strategy_id: str) -> str: + """{STRATEGY}_UNIVERSE_SOURCE env → 'ranking' | 'condition'.""" + key = f"{strategy_id}_UNIVERSE_SOURCE" + default = self._DEFAULT_SOURCE.get(strategy_id, "ranking") + src = (get_env_from_db(key, default) or default).strip().lower() + if src not in ("ranking", "condition"): + src = default + return src + + def _universe_tag(self, strategy_id: str) -> str: + """로그용 — 전략이 어떤 유니버스를 쓰는지 한눈에.""" + src = self._resolve_source(strategy_id) + mgr = self.ranking_mgr if src == "ranking" else self.condition_mgr + if mgr is None: + return f"universe={src}(unavailable→DB)" + try: + cfgs = getattr(mgr, "_configs", []) + for c in cfgs: + if c.get("strategy_id") == strategy_id: + if src == "ranking": + return ( + f"universe=rank[{c.get('sort')} x{c.get('limit')}]" + ) + return f"universe=cond[{c.get('name') or c.get('seq')}]" + except Exception: + pass + return f"universe={src}(unmapped→DB)" + + # ------------------------------------------------------------------ + def start(self) -> None: + logger.info("=" * 70) + logger.info("🚀 kis_trader 통합 봇 시작") + logger.info("=" * 70) + + # WS 허브 먼저 기동 (전략이 구독 요청하기 전에) + ws_ok = self.ws.start() + logger.info("WSManager active=%s", ws_ok) + + # 유니버스 매니저 (ranking/condition) 기동 + self._start_universe_managers() + + # 시장 급락 서킷브레이커 매니저 기동 (활성/비활성 무관, 토글로 즉시 전환) + self._start_market_guard() + + # 전략 등록 후 쓰레드 시작 (각자 독립 쓰레드) + self._register_strategies() + for strat in self.strategies: + strat.start() # threading.Thread.start() + logger.info("▶ 쓰레드 기동: %s", strat.name) + + # 알림 (시작) + try: + msg_mm("🚀 kis_trader 통합 봇 시작 — 전략: " + + ", ".join([s.strategy_id for s in self.strategies])) + msg_tg("🚀 kis_trader 통합 봇 시작 — 전략: " + + ", ".join([s.strategy_id for s in self.strategies])) + except Exception: + pass + + # 시그널 핸들러 (SIGINT/SIGTERM) + signal.signal(signal.SIGINT, self._on_signal) + try: + signal.signal(signal.SIGTERM, self._on_signal) + except Exception: + pass + + # 메인 쓰레드는 heartbeat 만 찍으며 대기 + self._heartbeat_loop() + + # ------------------------------------------------------------------ + def _start_universe_managers(self) -> None: + """ + 전략별 UNIVERSE_SOURCE 에 따라 VolumeRankManager / ConditionSearchManager 기동. + 두 매니저 모두 전략에 주입되고, 전략은 본인 소스 선택 값으로 조회함. + """ + strategy_switch = { + "SCALP": get_env_bool("STRATEGY_SCALP_ENABLED", True), + "SHORT": get_env_bool("STRATEGY_SHORT_ENABLED", True), + "BREAKOUT": get_env_bool("STRATEGY_BREAKOUT_ENABLED", False), + } + + ranking_configs: List[dict] = [] + condition_configs: List[dict] = [] + + cond_env_keys = { + "SCALP": ("CONDITION_SCALP_NAME", "CONDITION_SCALP_SEQ"), + "SHORT": ("CONDITION_SHORT_NAME", "CONDITION_SHORT_SEQ"), + "BREAKOUT": ("CONDITION_BREAKOUT_NAME", "CONDITION_BREAKOUT_SEQ"), + } + rank_env_keys = { + "SCALP": ("RANK_SCALP_SORT", "RANK_SCALP_LIMIT"), + "SHORT": ("RANK_SHORT_SORT", "RANK_SHORT_LIMIT"), + "BREAKOUT": ("RANK_BREAKOUT_SORT", "RANK_BREAKOUT_LIMIT"), + } + + # ⚡ 런타임 스위치 지원: + # 기존에는 시작 시점의 {SID}_UNIVERSE_SOURCE 값 기준으로 한쪽 매니저에만 등록했지만, + # 운영 중 DB 값만 바꿔도 즉시 전환되도록 **설정이 존재하는 모든 소스에 미리 등록** 한다. + # 실제 어느 쪽을 쓸지는 BaseStrategy._load_candidates() 가 매 틱 DB 를 재조회하여 결정. + # (단, 조건식 이름/seq 자체 변경은 매니저 내부 _configs 정적 바인딩이라 여전히 재시작 필요) + for sid, enabled in strategy_switch.items(): + if not enabled: + continue + src = self._resolve_source(sid) # 시작 시 '주 소스' (로그/기본값용) + + # ── ranking 쪽 설정 수집 (항상 등록 — 기본값 fallback 존재) ───── + sort_key, limit_key = rank_env_keys[sid] + sort_default = self._DEFAULT_RANK_SORT.get(sid, "volume") + sort_val = ( + get_env_from_db(sort_key, sort_default) or sort_default + ).strip().lower() + limit_val = get_env_int(limit_key, 20) + ranking_configs.append({ + "strategy_id": sid, + "sort": sort_val, + "limit": limit_val, + "market": "J", + }) + + # ── condition 쪽 설정 수집 (NAME 또는 SEQ 가 있을 때만 등록) ──── + name_key, seq_key = cond_env_keys[sid] + nm = (get_env_from_db(name_key, "") or "").strip() + sq = (get_env_from_db(seq_key, "") or "").strip() + has_cond = bool(nm or sq) + if has_cond: + condition_configs.append({ + "strategy_id": sid, + "name": nm or None, + "seq": sq or None, + }) + elif src == "condition": + logger.warning( + "⚠️ [%s] UNIVERSE_SOURCE=condition 인데 " + "CONDITION_%s_NAME/SEQ 가 비어있음 → ranking 으로 자동 폴백 동작. " + "(조건식 세팅 후엔 봇 재시작 필요)", + sid, sid, + ) + + logger.info( + "🔀 [%s] 시작소스=%s (매니저등록: ranking=✓ condition=%s) " + "— 런타임 DB %s_UNIVERSE_SOURCE 변경 시 재시작 없이 전환", + sid, src, ("✓" if has_cond else "✗"), sid, + ) + + # ── ranking 매니저 기동 ──────────────────────────────── + # ⚠️ KIS 거래량순위(volume-rank, FHPST01710000)도 **모의투자 미지원** (HTTP 500). + # 조건검색과 같은 정책: KIS_MOCK 와 무관하게 실전 도메인으로 호출. + if ranking_configs: + mkt_client = self._get_market_data_client() + if mkt_client is None: + logger.warning( + "⚠️ KIS_APP_KEY_REAL/KIS_APP_SECRET_REAL 미설정 → " + "거래량순위는 모의 미지원이라 실키 필수. 랭킹 매니저 비활성 " + "(%d개 전략 DB 폴백)", len(ranking_configs), + ) + else: + try: + self.ranking_mgr = VolumeRankManager( + client=mkt_client, + configs=ranking_configs, + db=self.db, + ) + if not self.ranking_mgr.start(): + self.ranking_mgr = None + except Exception as e: + logger.error("랭킹 매니저 기동 실패: %s", e) + self.ranking_mgr = None + else: + logger.info("ℹ️ ranking 소스 쓰는 전략 없음 → 랭킹 매니저 비활성") + + # ── condition 매니저 기동 ────────────────────────────── + # ⚠️ KIS 종목조건검색(psearch-title/psearch-result)은 **모의투자 미지원**. + # 따라서 KIS_MOCK 값과 무관하게 **실전 키 전용 KISClient 를 별도 생성**해 + # 조건검색 매니저에만 주입한다. (WSManager 가 시세를 실키로 받는 정책과 동일) + # 거래용 self.client 는 그대로 KIS_MOCK 스위치를 따른다 → 모의 매매 안전성 유지. + if condition_configs: + user_id = (get_env_from_db("KIS_HTS_ID", "") or "").strip() + mkt_client = self._get_market_data_client() + if not user_id: + logger.warning( + "⚠️ KIS_HTS_ID 미설정 → 조건검색 매니저 비활성 " + "(%d개 전략 DB 폴백)", len(condition_configs), + ) + elif mkt_client is None: + logger.warning( + "⚠️ KIS_APP_KEY_REAL/KIS_APP_SECRET_REAL 미설정 → " + "조건검색은 모의 미지원이라 실키 필수. (%d개 전략 DB 폴백)", + len(condition_configs), + ) + else: + try: + self.condition_mgr = ConditionSearchManager( + client=mkt_client, + user_id=user_id, + configs=condition_configs, + db=self.db, + ) + if not self.condition_mgr.start(): + self.condition_mgr = None + except Exception as e: + logger.error("조건검색 매니저 기동 실패: %s", e) + self.condition_mgr = None + else: + logger.info("ℹ️ condition 소스 쓰는 전략 없음 → 조건검색 매니저 비활성") + + # ------------------------------------------------------------------ + def _start_market_guard(self) -> None: + """ + 시장 급락 서킷브레이커 매니저 기동. + + - ``MARKET_GUARD_ENABLED=false`` (기본값) 여도 thread 자체는 띄움 + → 운영 중 DB 토글로 즉시 켤 수 있음 (재시작 불필요). + - 지수 조회 (inquire-index-price) 는 모의 도메인 미지원 가능성 + → market_client (실키 우선) 를 사용. 실키 없으면 self.client 폴백. + - PANIC 진입 시 BaseStrategy._scan_and_buy() 가 매수 차단. + """ + try: + self.market_guard = MarketGuard(client=self.market_client, db=self.db) + self.market_guard.start() + except Exception as e: + logger.error("MarketGuard 기동 실패 (전략은 가드 없이 동작): %s", e) + self.market_guard = None + + def _build_market_client(self) -> KISClient: + """ + 시세/조회 전용 실전 KISClient 생성 (init 단계). + + 정책 (`__init__` 주석 참고): + - KIS_MOCK 와 무관하게 **항상 실전 도메인** 으로 시세 조회. + - 거래용 self.client 가 이미 실전(KIS_MOCK=false)이면 토큰·세션 공유 위해 + 그대로 재사용 → 폴백. + - 실키(KIS_APP_KEY_REAL/_SECRET_REAL) 미설정이면 self.client 폴백 + 워닝 + (이 경우 모의 도메인으로 시세 호출 → inquire-price/balance 일부 500 가능). + """ + # 거래 client 가 실전이면 그대로 재사용 + if not self.client.mock: + self._market_data_client = self.client + return self.client + + real_app_key = (get_env_from_db("KIS_APP_KEY_REAL", "") or "").strip() + real_app_secret = (get_env_from_db("KIS_APP_SECRET_REAL", "") or "").strip() + if not real_app_key or not real_app_secret: + logger.warning( + "⚠️ KIS_APP_KEY_REAL/_SECRET_REAL 미설정 → 시세 client 도 모의로 폴백. " + "조건검색·분봉 등 모의 미지원 API 가 HTTP 500 폭주할 수 있음." + ) + self._market_data_client = self.client + return self.client + + try: + mc = KISClient( + mock=False, + app_key=real_app_key, + app_secret=real_app_secret, + account_no=(get_env_from_db("KIS_ACCOUNT_NO_REAL", "") or "").strip(), + account_code=(get_env_from_db("KIS_ACCOUNT_CODE_REAL", "01") or "01").strip(), + ) + logger.info( + "🔑 시세 전용 실전 KISClient 생성 (모의 미지원 API 대응 — 매매는 KIS_MOCK 따름)" + ) + self._market_data_client = mc + return mc + except Exception as e: + logger.error( + "시세 전용 실전 KISClient 생성 실패 → 거래용 client 폴백: %s", e + ) + self._market_data_client = self.client + return self.client + + def _get_market_data_client(self) -> KISClient | None: + """ + condition/ranking 매니저 호환 헬퍼. + 실키 모드 client 가 확보돼 있으면 반환, 아니면 None (= 매니저 비활성 신호). + """ + mc = self.market_client + if mc is not None and not mc.mock: + return mc + return None + + def _heartbeat_loop(self) -> None: + last_hb = 0.0 + last_daily_tick = 0.0 + while not self._stop: + now = time.time() + if now - last_hb >= 60: + alive = [s.name for s in self.strategies if s.is_alive()] + dead = [s.name for s in self.strategies if not s.is_alive()] + ws_session = "OPEN" if self.ws.is_active else "IDLE" + rank_desc = self._mgr_heartbeat_desc(self.ranking_mgr) + cond_desc = self._mgr_heartbeat_desc(self.condition_mgr) + logger.info( + "❤️ heartbeat ws=%s rank[%s] cond[%s] alive=%s dead=%s", + ws_session, rank_desc, cond_desc, alive, dead, + ) + if dead: + logger.warning("⚠️ 죽은 전략 쓰레드 감지: %s → 재기동", dead) + self._restart_dead() + last_hb = now + # 장중 자산/리포트 tick (20초 주기) + if now - last_daily_tick >= 20: + try: + self._daily_report_tick() + except Exception as e: + logger.debug("daily_report_tick 예외: %s", e) + last_daily_tick = now + time.sleep(1) + + # ------------------------------------------------------------------ + # 자산 스냅샷 / 당일·누적 손익 / 장마감 리포트 + # ------------------------------------------------------------------ + def _fetch_asset_snapshot(self, force: bool = False) -> Dict[str, Any]: + """ + KIS `inquire-balance` 호출하여 예수금/D+2/총자산/보유종목수를 dict 로 반환. + TTL 캐시(기본 2초)로 API 부하 절감. + """ + t = time.time() + if ( + not force + and self._asset_cache is not None + and (t - self._asset_cache_ts) < self._asset_cache_ttl + ): + return dict(self._asset_cache) + + def _parse_amt(v) -> float: + try: + return float(str(v or 0).replace(",", "").strip()) + except Exception: + return 0.0 + + balance = {} + try: + balance = self.client.get_account_balance() or {} + except Exception as e: + logger.debug("get_account_balance 예외: %s", e) + + out2_raw = balance.get("output2") or [] + if isinstance(out2_raw, dict): + out2 = out2_raw + elif isinstance(out2_raw, list) and out2_raw: + out2 = out2_raw[0] + else: + out2 = {} + out1_raw = balance.get("output1") or [] + if isinstance(out1_raw, dict): + out1 = [out1_raw] + elif isinstance(out1_raw, list): + out1 = out1_raw + else: + out1 = [] + + dnca = _parse_amt(out2.get("dnca_tot_amt")) + d2 = _parse_amt(out2.get("prvs_rcdl_excc_amt")) + # output2.tot_evlu_amt = 예수금+평가액 (없을 경우 output1 로 합산) + tot_evlu = _parse_amt(out2.get("tot_evlu_amt")) + if tot_evlu <= 0: + holdings_value = 0.0 + for it in out1: + qty = _parse_amt(it.get("hldg_qty") or it.get("HLDG_QTY")) + if qty <= 0: + continue + evlu = _parse_amt(it.get("evlu_amt") or it.get("EVLU_AMT")) + if evlu > 0: + holdings_value += evlu + else: + price = _parse_amt(it.get("prpr") or it.get("PRPR")) + holdings_value += price * qty + tot_evlu = (d2 if d2 > 0 else dnca) + holdings_value + + hold_count = 0 + for it in out1: + q = _parse_amt(it.get("hldg_qty") or it.get("HLDG_QTY")) + if q > 0: + hold_count += 1 + + cash = d2 if d2 > 0 else dnca + snap = { + "cash": cash, # 주문가능(= D+2 or 예수금총액) + "d2": d2, # D+2 예수금 + "dnca": dnca, # 예수금총액 + "total_asset": tot_evlu, + "hold_count": hold_count, + } + self._asset_cache = snap + self._asset_cache_ts = t + return dict(snap) + + def _asset_line_for_notify(self, side: str = "", extra: Optional[Dict] = None) -> str: + """ + 체결 알림에 덧붙일 2줄 요약: + 예수금 XXX원 | 총자산 XXX원 | 보유 N종목 + 당일손익 ±XXX원 (±X.XX%) | 누적손익 ±XXX원 (±X.XX%) + - start_day_asset 이 아직 0 이면 현재 총자산을 기준점으로 '최초 설정' + - total_deposit 이 없으면 누적손익 줄은 생략 + """ + try: + snap = self._fetch_asset_snapshot() + cash = snap.get("cash", 0.0) + total = snap.get("total_asset", 0.0) + hold = snap.get("hold_count", 0) + + if self.start_day_asset <= 0 and total > 0: + self.start_day_asset = total + logger.info("📌 [당일 시작 자산] %s원 최초 기록", f"{total:,.0f}") + + day_pnl = (total - self.start_day_asset) if self.start_day_asset > 0 else 0.0 + day_pct = (day_pnl / self.start_day_asset * 100) if self.start_day_asset > 0 else 0.0 + + line1 = f"예수금 {cash:,.0f}원 | 총자산 {total:,.0f}원 | 보유 {hold}종목" + line2 = f"당일손익 {day_pnl:+,.0f}원 ({day_pct:+.2f}%)" + + if self.total_deposit and self.total_deposit > 0: + cum_pnl = total - self.total_deposit + cum_pct = cum_pnl / self.total_deposit * 100 + line2 += f" | 누적손익 {cum_pnl:+,.0f}원 ({cum_pct:+.2f}%)" + + return line1 + "\n" + line2 + except Exception as e: + logger.debug("asset line 생성 실패: %s", e) + return "" + + def _daily_report_tick(self) -> None: + """ + 장중 주기적으로 호출되어: + 1) 최초 1회 start_day_asset 기록 (09:00 이후 첫 조회) + 2) 15:15 장마감 전 리포트 발송 (하루 1회) + 3) 15:35 장마감 최종 리포트 발송 (하루 1회) + """ + now = dt.now() + h, m = now.hour, now.minute + today = now.strftime("%Y-%m-%d") + today_ymd = now.strftime("%Y%m%d") + + # 날짜가 바뀌면 상태 리셋 + if self._closing_report_date and self._closing_report_date != today: + self.start_day_asset = 0.0 # 새 영업일 기준 재설정 + self._start_asset_retry_at = 0.0 # 재시도 백오프도 같이 리셋 + # env 에 TOTAL_DEPOSIT 가 있을 수도 있으므로 매일 한번 리로드 + try: + latest_td = get_env_float("TOTAL_DEPOSIT", 0.0) or 0.0 + if latest_td > 0: + self.total_deposit = latest_td + except Exception: + pass + + # 09:00 이후에만 start_day_asset 확보 (장 시작 전 예탁금 왜곡 방지). + # 실패하면 START_ASSET_RETRY_BACKOFF_SEC (기본 300s) 동안 재시도 차단 → + # 모의 서버 500 시 hb 20초마다 inquire-balance 폭주하던 이슈 방지. + if self.start_day_asset <= 0 and (h > 9 or (h == 9 and m >= 0)): + now_t = time.time() + if now_t >= self._start_asset_retry_at: + try: + snap = self._fetch_asset_snapshot(force=True) + if snap.get("total_asset", 0) > 0: + self.start_day_asset = float(snap["total_asset"]) + logger.info( + "📌 [당일 시작 자산] %s원 기록", + f"{self.start_day_asset:,.0f}", + ) + else: + # snap 자체는 받았으나 total=0 (잔고 0 또는 모의 응답 깨짐) + self._start_asset_retry_at = now_t + self._start_asset_backoff_sec + logger.debug( + "start_day_asset 조회 결과 total=0 → %ds 후 재시도", + self._start_asset_backoff_sec, + ) + except Exception as e: + self._start_asset_retry_at = now_t + self._start_asset_backoff_sec + logger.debug( + "start_day_asset 설정 실패: %s → %ds 후 재시도", + e, self._start_asset_backoff_sec, + ) + + # 15:15 장마감 전 (15:15~15:20 윈도우, 하루 1회) + if (h == 15 and 15 <= m <= 20 and self._closing_report_date != today): + try: + body = self._build_closing_report(today_ymd) + if body: + self._send_daily_report("장마감 전 현황", body) + self._closing_report_date = today + except Exception as e: + logger.error("장마감 전 리포트 실패: %s", e) + + # 15:35 장마감 최종 (15:34~15:45 윈도우, 하루 1회) + if (h == 15 and 34 <= m <= 45 and self._final_report_date != today): + try: + body = self._build_final_report(today_ymd) + if body: + self._send_daily_report("장마감 최종 보고", body) + self._final_report_date = today + except Exception as e: + logger.error("장마감 최종 리포트 실패: %s", e) + + def _build_closing_report(self, today_ymd: str) -> str: + """15:15 장마감 전 현황 메시지 (기존 kis_short_ver3.py 포맷 계승).""" + snap = self._fetch_asset_snapshot(force=True) + total = snap.get("total_asset", 0.0) + cash = snap.get("cash", 0.0) + d2 = snap.get("d2", 0.0) + hold = snap.get("hold_count", 0) + + day_pnl = (total - self.start_day_asset) if self.start_day_asset > 0 else 0.0 + day_pct = (day_pnl / self.start_day_asset * 100) if self.start_day_asset > 0 else 0.0 + + lines = [ + "📈 **[장마감 전 현황 - 15:15]**", + "", + f"- 당일 손익: {day_pnl:+,.0f}원 ({day_pct:+.2f}%)", + f"- 현재 자산: {total:,.0f}원", + f"- 보유 종목: {hold}개", + f"- 예수금(주문가능): {cash:,.0f}원 | D+2예수금: {d2:,.0f}원", + ] + return "\n".join(lines) + + def _build_final_report(self, today_ymd: str) -> str: + """15:35 장마감 최종 보고 메시지 (당일/누적 손익 + 매매건수).""" + snap = self._fetch_asset_snapshot(force=True) + total = snap.get("total_asset", 0.0) + cash = snap.get("cash", 0.0) + d2 = snap.get("d2", 0.0) + hold = snap.get("hold_count", 0) + + day_pnl = (total - self.start_day_asset) if self.start_day_asset > 0 else 0.0 + day_pct = (day_pnl / self.start_day_asset * 100) if self.start_day_asset > 0 else 0.0 + + cum_pnl = (total - self.total_deposit) if self.total_deposit > 0 else 0.0 + cum_pct = (cum_pnl / self.total_deposit * 100) if self.total_deposit > 0 else 0.0 + + try: + today_trades = self.db.get_trades_by_date(today_ymd) or [] + except Exception: + today_trades = [] + trade_cnt = len(today_trades) + + lines = [ + "🏁 **[장마감 최종 보고 - 15:35]**", + "━━━━━━━━━━━━━━━━━━━━", + "📅 **당일 손익**", + f"- 시작: {self.start_day_asset:,.0f}원", + f"- 종료: {total:,.0f}원", + f"- 손익: {day_pnl:+,.0f}원 ({day_pct:+.2f}%)", + "", + "💰 **누적 손익 (총 입금액 대비)**", + f"- 총 입금: {self.total_deposit:,.0f}원", + f"- 현재 자산: {total:,.0f}원", + f"- 누적 손익: {cum_pnl:+,.0f}원 ({cum_pct:+.2f}%)", + "", + "📊 **거래 현황**", + f"- 오늘 매매: {trade_cnt}건", + f"- 보유 종목: {hold}개", + f"- 예수금(주문가능): {cash:,.0f}원 | D+2예수금: {d2:,.0f}원", + "━━━━━━━━━━━━━━━━━━━━", + ] + return "\n".join(lines) + + def _send_daily_report(self, title: str, body: str) -> None: + """리포트를 SCALP·SHORT(TAIL) 양쪽 MM 채널 + Telegram 에 전송.""" + scalp_ch = str(get_env_from_db("KIS_SCALP_MM_CHANNEL", "scalping") or "scalping") + short_ch = str(get_env_from_db("KIS_SHORT_MM_CHANNEL", "stock") or "stock") + try: + msg_mm(body, channel_alias=scalp_ch, jitter=False) + except Exception as e: + logger.debug("리포트 MM(scalp) 전송 실패: %s", e) + # SCALP 와 SHORT 채널이 동일하면 중복 발송 방지 + if short_ch != scalp_ch: + try: + msg_mm(body, channel_alias=short_ch, jitter=False) + except Exception as e: + logger.debug("리포트 MM(short) 전송 실패: %s", e) + try: + msg_tg(body, jitter=False) + except Exception as e: + logger.debug("리포트 TG 전송 실패: %s", e) + logger.info("📢 %s 발송 완료", title) + + @staticmethod + def _mgr_heartbeat_desc(mgr) -> str: + if mgr is None: + return "off" + try: + cfgs = getattr(mgr, "_configs", []) + parts = [ + f"{c['strategy_id']}={len(mgr.get_universe_for(c['strategy_id']))}" + for c in cfgs + ] + return ",".join(parts) if parts else "0" + except Exception: + try: + return str(len(mgr.get_universe())) + except Exception: + return "?" + + def _restart_dead(self) -> None: + new_list = [] + for s in self.strategies: + if s.is_alive(): + new_list.append(s) + continue + # 같은 타입으로 새 쓰레드 생성 (공유 인프라 주입) + cls = type(s) + ns = cls( + db=self.db, client=self.market_client, ws=self.ws, + order_mgr=self.order_mgr, + condition_mgr=self.condition_mgr, + ranking_mgr=self.ranking_mgr, + ) + ns.start() + new_list.append(ns) + logger.info("🔁 전략 재기동: %s", ns.name) + try: + msg_mm(f"🔁 전략 재기동: {ns.strategy_id}") + except Exception: + pass + self.strategies = new_list + + # ------------------------------------------------------------------ + def _on_signal(self, *_): + logger.info("🛑 종료 신호 수신 → 정리 시작") + self._stop = True + self.stop() + sys.exit(0) + + def stop(self) -> None: + for s in self.strategies: + s.stop_loop() + for s in self.strategies: + try: + s.join(timeout=5) + except Exception: + pass + try: + if self.condition_mgr: + self.condition_mgr.stop() + except Exception: + pass + try: + if self.ranking_mgr: + self.ranking_mgr.stop() + except Exception: + pass + try: + self.ws.stop() + except Exception: + pass + try: + msg_mm("🛑 kis_trader 종료") + except Exception: + pass + + +def main() -> None: + orch = TradingOrchestrator() + try: + orch.start() + except KeyboardInterrupt: + orch.stop() + except Exception as e: + logger.exception("오케스트레이터 치명적 예외: %s", e) + orch.stop() + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/kis_trader/network/__init__.py b/kis_trader/network/__init__.py new file mode 100644 index 0000000..4905d3f --- /dev/null +++ b/kis_trader/network/__init__.py @@ -0,0 +1,4 @@ +"""kis_trader.network — 통합 WebSocket/Event Bus 허브.""" +from .ws_manager import WSManager + +__all__ = ["WSManager"] diff --git a/kis_trader/network/condition_manager.py b/kis_trader/network/condition_manager.py new file mode 100644 index 0000000..7cb503f --- /dev/null +++ b/kis_trader/network/condition_manager.py @@ -0,0 +1,396 @@ +""" +kis_trader/network/condition_manager.py — KIS 조건검색 기반 동적 유니버스 +=========================================================================== +팩트 체크 먼저: + * KIS 는 ``H0UPANC0`` 웹소켓으로 "조건검색 실시간" 을 주지 않는다. + H0UPANC0 는 **업종별 예상체결** TR 이다. 인터넷 블로그/LLM 답변에 + 자주 보이는 "조건검색 웹소켓" 은 대부분 키움 OpenAPI+ 쪽 이야기. + * KIS 공식 경로는 REST 두 개뿐: + /quotations/psearch-title → 서버 저장 조건식 목록 (HHKST03900300) + /quotations/psearch-result → 특정 조건식 현재 결과 (HHKST03900400) + * 따라서 REST 폴링이 유일한 방법. 기본 폴링 주기는 ``CONDITION_POLL_INTERVAL_SEC`` + (기본 10초). 10초면 종목당 하루 ~2,340 호출로 429 안전 여유 충분. + +v2 변경점 (다중 조건식 지원): + * 전략마다 다른 조건식을 쓸 수 있도록 ``configs`` 인자 추가: + configs = [ + {"strategy_id": "SCALP", "name": "체결강도급등", "seq": "0"}, + {"strategy_id": "SHORT", "name": "꼬리달린봉", "seq": ""}, # seq 는 name 으로 자동 해결 + {"strategy_id": "BREAKOUT", "name": "우상향돌파", "seq": ""}, + ] + * 같은 조건식을 여러 전략이 공유해도 OK (seq 가 같으면 REST 1번만 호출) + * 전략별 get_universe_for / get_candidates_for 제공 + * **변동(ENTER/EXIT) 감지 tick 마다** ``target_candidates_history`` 에 + 초단위 ``event_time`` (YYYY-MM-DD HH:MM:SS) 으로 풀 스냅샷을 INSERT. + (strategy_id 컬럼은 ``TradeDBExt.insert_condition_universe_snapshot`` + 이 자동 마이그레이션.) 백테스트는 ``TradeDBExt.get_universe_by_candle_time()`` + 으로 "그 1분봉 시점에 봇이 보던 유니버스" 를 재현. + +사용 (권장 — multi): + cm = ConditionSearchManager( + client=kis_client, + user_id="HTSID", + configs=[ + {"strategy_id": "SCALP", "name": "체결강도급등"}, + {"strategy_id": "BREAKOUT", "seq": "0"}, + ], + db=db, + ) + cm.start() + codes: set = cm.get_universe_for("SCALP") + +사용 (legacy — single, 기존 호출 호환): + cm = ConditionSearchManager( + client=kis_client, user_id="HTSID", condition_name="우상향돌파", + ) +""" +from __future__ import annotations + +import random +import threading +import time +from datetime import datetime as dt +from typing import Callable, Dict, List, Optional, Set + +from ..utils.env import get_env_bool, get_env_int +from ..utils.logger import get_logger + +logger = get_logger("kis_trader.cond") + + +class ConditionSearchManager: + """KIS 조건검색 폴링 매니저. 여러 조건식을 동시에 병렬 관리.""" + + def __init__( + self, + *, + client, + user_id: str, + configs: Optional[List[Dict]] = None, + condition_name: Optional[str] = None, + condition_seq: Optional[str] = None, + on_change: Optional[Callable[[str, Set[str], Set[str], Set[str]], None]] = None, + poll_interval_sec: Optional[float] = None, + db=None, + ): + self.client = client + self.user_id = (user_id or "").strip() + self.on_change = on_change + self.db = db # 히스토리 저장용 (선택) + self.poll_interval = float( + poll_interval_sec + if poll_interval_sec is not None + else get_env_int("CONDITION_POLL_INTERVAL_SEC", 10) + ) + self.history_enabled = get_env_bool("CONDITION_HISTORY_SAVE", True) + # EXIT grace period: 한 번 빠진 종목을 N초간 universe 에 keep. + # 단발성 EXIT/RE-ENTER 회전을 흡수해 WS 구독 해제 → 캐시·갭보정 리셋 + # → resubscribe 후 데이터 부족으로 매수 시그널 못내는 사이클을 차단. + # 기본 0 = 비활성 (기존 동작과 동일). 권장 60. + self._exit_grace_sec = float(get_env_int("CONDITION_EXIT_GRACE_SEC", 0)) + # strategy_id → {code: first_missing_at_epoch} + self._pending_exit: Dict[str, Dict[str, float]] = {} + + # 설정 정규화: legacy(single) → multi 형식으로 흡수 + self._configs: List[Dict] = [] + if configs: + for c in configs: + sid = str(c.get("strategy_id") or "").strip().upper() + nm = (c.get("name") or "").strip() or None + sq = (c.get("seq") or "").strip() or None + if not sid or (not nm and not sq): + continue + self._configs.append({"strategy_id": sid, "name": nm, "seq": sq}) + elif condition_name or condition_seq: + self._configs.append({ + "strategy_id": "DEFAULT", + "name": (condition_name or "").strip() or None, + "seq": (condition_seq or "").strip() or None, + }) + + self._thread: Optional[threading.Thread] = None + self._running = False + + # 상태 + self._current: Dict[str, Set[str]] = {} # strategy_id → code set + self._name_map: Dict[str, str] = {} # code → name (전역) + # 초기 tick 에서 "빈 set → 첫 결과" 를 변동으로 간주해 1회는 저장 + self._initialized: Set[str] = set() + self._lock = threading.Lock() + + # ------------------------------------------------------------------ + # Public API + # ------------------------------------------------------------------ + def start(self) -> bool: + """조건식 seq 를 해결하고 폴링 쓰레드 기동. 유효 조건식 0개면 False.""" + if not self.user_id: + logger.warning("조건검색 user_id 누락 → 비활성") + return False + if not self._configs: + logger.info("조건검색 configs 비어 있음 → 매니저 비활성") + return False + + # seq 해결 (이름 → seq). 1번만 전체 목록 호출해서 캐시. + name_to_seq = self._fetch_seq_map() + valid = [] + for cfg in self._configs: + if not cfg.get("seq") and cfg.get("name"): + sq = name_to_seq.get(cfg["name"]) + if sq: + cfg["seq"] = sq + if cfg.get("seq"): + valid.append(cfg) + logger.info( + "🔗 조건식 매핑: strategy=%s seq=%s name=%s", + cfg["strategy_id"], cfg["seq"], cfg.get("name") or "?", + ) + else: + logger.warning( + "⚠️ 조건식 seq 해결 실패 (strategy=%s name=%s) → 이 전략은 폴백", + cfg["strategy_id"], cfg.get("name"), + ) + self._configs = valid + + if not self._configs: + logger.warning("유효 조건식 0개 → 조건검색 매니저 비활성") + return False + + self._running = True + self._thread = threading.Thread( + target=self._loop, daemon=True, name="CondSearch" + ) + self._thread.start() + logger.info( + "✅ 조건검색 폴링 시작 (%d개, interval=%ds, exit_grace=%ds, history=%s)", + len(self._configs), int(self.poll_interval), int(self._exit_grace_sec), + "ON" if (self.history_enabled and self.db is not None) else "OFF", + ) + return True + + def stop(self) -> None: + self._running = False + + # ── 전략별 조회 ──────────────────────────────────────────── + def get_universe_for(self, strategy_id: str) -> Set[str]: + sid = (strategy_id or "").upper() + with self._lock: + return set(self._current.get(sid, set())) + + def get_candidates_for(self, strategy_id: str) -> List[Dict]: + """BaseStrategy._load_candidates 와 호환되는 dict 리스트 반환.""" + sid = (strategy_id or "").upper() + with self._lock: + codes = list(self._current.get(sid, set())) + nm = dict(self._name_map) + # 전략별 기본 필터 플래그는 True 로 열어둔다 (전략 쪽 _candidate_filter 가 판단) + out = [] + for c in codes: + out.append({ + "code": c, + "name": nm.get(c, c), + "scalp_on": True, + "tail_on": True, + "score": 0.0, + "price": 0.0, + }) + return out + + # ── 하위 호환 (Breakout 단일 매니저용) ─────────────────── + def get_universe(self) -> Set[str]: + """모든 전략 유니버스의 합집합 (heartbeat/총량 로그용).""" + with self._lock: + out: Set[str] = set() + for s in self._current.values(): + out |= s + return out + + def get_candidates(self) -> List[Dict]: + """기본 호출 시 첫 번째 설정된 전략 유니버스 반환 (하위호환).""" + if not self._configs: + return [] + return self.get_candidates_for(self._configs[0]["strategy_id"]) + + # ------------------------------------------------------------------ + # 내부 + # ------------------------------------------------------------------ + @staticmethod + def _row_name(row: Dict) -> str: + """ + KIS psearch-title 응답의 '조건식 이름' 추출. + 실제 응답 키는 ``condition_nm`` (예: {"seq":"0","condition_nm":"돌파_초반강세",...}). + 과거/문서상 변형 키도 모두 허용해 안전하게 폴백. + """ + for k in ("condition_nm", "condition_name", "cond_nm", "user_cnd_nm"): + v = row.get(k) + if v is not None and str(v).strip(): + return str(v).strip() + return "" + + def _fetch_seq_map(self) -> Dict[str, str]: + """서버 저장 조건식 목록 1회 호출 → name→seq 맵.""" + try: + lst = self.client.get_condition_list(self.user_id) or [] + except Exception as e: + logger.error("조건식 목록 조회 예외: %s", e) + return {} + if not lst: + logger.warning("조건식 목록이 비어있음 (user_id=%s)", self.user_id) + return {} + logger.info( + "저장된 조건식 %d개: %s", + len(lst), + ", ".join(f"{x.get('seq')}:{self._row_name(x) or '?'}" for x in lst), + ) + return { + self._row_name(row): str(row.get("seq") or "").strip() + for row in lst + if self._row_name(row) + } + + def _loop(self) -> None: + while self._running: + try: + self._tick_all() + except Exception as e: + logger.error("조건검색 루프 예외: %s", e) + # 서버 부하 방지 지터 — 주기 대비 10% 수준 + jitter = min(1.0, self.poll_interval * 0.1) + sleep_sec = self.poll_interval + random.uniform(0, jitter) + # 중단 감지 해상도 0.5s (10초 주기에 1초 해상도는 과함) + deadline = time.time() + sleep_sec + while time.time() < deadline: + if not self._running: + return + time.sleep(0.5) + + def _tick_all(self) -> None: + # 같은 seq 를 공유하는 전략이 있으면 REST 1회만 호출 (캐시) + seq_cache: Dict[str, List[Dict]] = {} + for cfg in self._configs: + sid = cfg["strategy_id"] + seq = cfg["seq"] + if seq in seq_cache: + rows = seq_cache[seq] + else: + try: + rows = self.client.get_condition_result(self.user_id, seq) or [] + except Exception as e: + logger.debug("조건검색 결과 조회 실패 (%s/%s): %s", sid, seq, e) + rows = [] + seq_cache[seq] = rows + self._apply_result(sid, rows) + + def _apply_result(self, strategy_id: str, rows: List[Dict]) -> None: + """ + 조건검색 raw 결과를 universe 에 반영. + + EXIT grace 정책 (``CONDITION_EXIT_GRACE_SEC`` > 0 일 때): + - raw 결과에서 빠진 종목을 즉시 EXIT 처리하지 않고 ``_pending_exit`` 에 + ``first_missing_at`` 시각과 함께 등록. + - grace 초가 지나야 진짜 EXIT (universe 에서 제거) → WS 구독 해제 → 갭보정 리셋. + - grace 중 다시 raw 에 등장하면 pending 에서 빼고 universe 에 그대로 keep + (구독·캐시·봉 데이터 보존). + + 효과: 단발성 EXIT/RE-ENTER 폭주 흡수. 시장 노이즈로 1~2 tick 빠지는 케이스를 + 걸러 매수 시그널 평가용 RAM 데이터 (회복률·낙폭 등) 가 휘발 안 됨. + """ + raw_set = {r["code"] for r in rows if r.get("code")} + new_names = { + r["code"]: r.get("name", r["code"]) for r in rows if r.get("code") + } + now = time.time() + grace = self._exit_grace_sec + + with self._lock: + prev = self._current.get(strategy_id, set()) + first_tick = strategy_id not in self._initialized + pending = self._pending_exit.setdefault(strategy_id, {}) + + # ── grace 적용 ──────────────────────────────────────── + kept_in_grace: Set[str] = set() + if grace > 0: + # 1) raw 에 다시 등장 → grace 해제 (회생) + for c in raw_set & set(pending.keys()): + pending.pop(c, None) + # 2) raw 에서 빠진 prev 종목 → pending 등록 (처음 사라진 시각) + for c in prev - raw_set: + if c not in pending: + pending[c] = now + # 3) grace 미경과 종목 → universe 에 keep / 경과 → pending 제거 + expired: Set[str] = set() + for c, first_at in list(pending.items()): + if now - first_at >= grace: + expired.add(c) + for c in expired: + pending.pop(c, None) + kept_in_grace = set(pending.keys()) + # grace=0 (기존 동작) 이면 kept_in_grace = ∅, pending 안 쓰임. + + # 봇이 실제로 보는 effective universe (raw + grace keep) + new_set = raw_set | kept_in_grace + + # ── 변동 계산 (effective 기준) ─────────────────────── + enters = new_set - prev + exits = prev - new_set + self._current[strategy_id] = new_set + self._initialized.add(strategy_id) + for c, n in new_names.items(): + self._name_map[c] = n + + changed = bool(enters or exits) + n_grace = len(kept_in_grace) + + if changed: + grace_tag = f", grace={n_grace}" if n_grace else "" + logger.info( + "🔄 [%s] +%d / -%d (현재 %d종목%s)", + strategy_id, len(enters), len(exits), len(new_set), grace_tag, + ) + if enters: + preview = ", ".join( + f"{c}({new_names.get(c, c)})" for c in list(sorted(enters))[:5] + ) + logger.info(" ENTER: %s%s", + preview, " …" if len(enters) > 5 else "") + if exits: + preview = ", ".join(sorted(exits)[:5]) + logger.info(" EXIT : %s%s", + preview, " …" if len(exits) > 5 else "") + + if self.on_change and changed: + try: + self.on_change(strategy_id, new_set, enters, exits) + except Exception as e: + logger.warning("on_change 콜백 예외: %s", e) + + # 백테스트 재현성 보장: 첫 tick 또는 변동 발생 tick 마다 풀 스냅샷 저장 + # (effective universe 기준 — 봇이 실제로 보던 universe 가 그대로 기록됨) + # 변동 없는 tick 은 공간 절약 위해 skip + if changed or first_tick: + self._save_snapshot(strategy_id, new_set, new_names) + + def _save_snapshot( + self, + strategy_id: str, + codes: Set[str], + names: Dict[str, str], + ) -> None: + """변동이 감지된 tick 의 풀 유니버스 스냅샷 저장.""" + if not (self.history_enabled and self.db is not None): + return + # 유니버스가 비어있어도 "비었다" 는 사실을 기록해야 백테스트에서 재현 가능. + # 단, 한 번도 결과를 못 받은 상태(첫 호출 실패 등)는 저장 X. + event_time = dt.now().strftime("%Y-%m-%d %H:%M:%S") + items = [{"code": c, "name": names.get(c, c)} for c in sorted(codes)] + try: + n = self.db.insert_condition_universe_snapshot( + strategy_id=strategy_id, + event_time=event_time, + items=items, + ) + logger.debug( + "📼 [history] %s @%s %d종목 저장", + strategy_id, event_time, n, + ) + except Exception as e: + logger.debug("history 저장 예외: %s", e) diff --git a/kis_trader/network/market_guard.py b/kis_trader/network/market_guard.py new file mode 100644 index 0000000..2498626 --- /dev/null +++ b/kis_trader/network/market_guard.py @@ -0,0 +1,330 @@ +""" +kis_trader/network/market_guard.py — 시장 급락 서킷브레이커 +============================================================== +KOSPI/KOSDAQ 종합지수를 주기적으로 폴링해, 다음 조건 충족 시 PANIC 모드 진입: + + 1) 5분 누적 -N% 하락 (기본 -2%) + 2) 일중 누적 -N% 하락 (전일 종가 대비, 기본 -3%) + +PANIC 모드 시: + - ``BaseStrategy._scan_and_buy()`` 가 신규 매수를 즉시 차단 + - 기존 보유 종목 매도는 정상 동작 (포지션 정리·손실 확대 방지) + +해제: + - 5분 누적 +N% 반등 시 자동 해제 (기본 +1%) + - 또는 운영자가 DB ``MARKET_GUARD_ENABLED=false`` 로 수동 해제 + +설계 철학 +--------- +- 거래소 공식 서킷브레이커 (KOSPI -8%) 보다 훨씬 빨리 반응 → 봇 보호 우선. +- 매수만 차단, 매도는 평소처럼 진행 → 봇이 살아있어야 손절·익절 가능. +- 백테스트 X (지수 데이터 누적 안 되어 있음) → 실거래로 임계치 튜닝. +- ``MARKET_GUARD_ENABLED=false`` 가 기본값. 운영 1~2주 모니터링 후 활성화. + +환경변수 (DB env_config, 매 tick 재조회 → 운영 중 즉시 반영) +------------------------------------------------------------ + MARKET_GUARD_ENABLED (true/false, 기본 false) + MARKET_GUARD_5MIN_DROP_PCT (실수, 기본 2.0) + MARKET_GUARD_DAILY_DROP_PCT (실수, 기본 3.0) + MARKET_GUARD_RECOVERY_PCT (실수, 기본 1.0) + MARKET_GUARD_INDEX_CODE ("0001"|"1001"|"both", 기본 "both") + MARKET_GUARD_POLL_SEC (정수, 기본 30) +""" +from __future__ import annotations + +import threading +import time +from collections import deque +from datetime import datetime as dt +from typing import Deque, Dict, List, Optional, Tuple + +from ..utils.env import get_env_bool, get_env_float, get_env_from_db, get_env_int +from ..utils.logger import get_logger + +logger = get_logger("kis_trader.market_guard") + + +class MarketGuard: + """KOSPI/KOSDAQ 지수 폴링 + PANIC 판정 매니저. 독립 백그라운드 쓰레드.""" + + # 지수 코드 → 사람용 이름 + _INDEX_NAMES = { + "0001": "KOSPI", + "1001": "KOSDAQ", + "2001": "KOSPI200", + } + + def __init__(self, *, client, db=None): + self.client = client + self.db = db + + self._thread: Optional[threading.Thread] = None + self._running = False + self._lock = threading.Lock() + + # 지수별 최근 가격 deque [(epoch_sec, value), ...] — 5분 비교용 + # 보수적으로 10분치 (deque maxlen=120 ≈ poll 5초 × 120 = 10분) + self._history: Dict[str, Deque[Tuple[float, float]]] = {} + # 지수별 전일 종가 (일중 누적 판정용) + self._prev_close: Dict[str, float] = {} + + # PANIC 상태 (전역 — 어떤 지수가 트리거했든 매수 전체 차단) + self._panic = False + self._panic_reason: str = "" + self._panic_since: float = 0.0 + self._panic_index: str = "" + + self._reload_config() + + # ------------------------------------------------------------------ + def _reload_config(self) -> None: + """매 tick DB 재조회 (운영 중 임계치 튜닝 즉시 반영).""" + self.enabled = get_env_bool("MARKET_GUARD_ENABLED", False) + self.drop_5min = get_env_float("MARKET_GUARD_5MIN_DROP_PCT", 2.0) + self.drop_daily = get_env_float("MARKET_GUARD_DAILY_DROP_PCT", 3.0) + self.recovery_pct = get_env_float("MARKET_GUARD_RECOVERY_PCT", 1.0) + self.poll_sec = max(5, get_env_int("MARKET_GUARD_POLL_SEC", 30)) + + # 감시 지수: "0001", "1001", "both", 또는 콤마구분 ("0001,1001") + idx_raw = (get_env_from_db("MARKET_GUARD_INDEX_CODE", "both") or "both") \ + .strip().lower() + if idx_raw == "both": + self.index_codes = ["0001", "1001"] + else: + codes = [c.strip() for c in idx_raw.split(",") if c.strip()] + # 알 수 없는 코드 들어오면 안전하게 KOSPI 만 감시 + self.index_codes = codes if codes else ["0001"] + + # ------------------------------------------------------------------ + def start(self) -> bool: + """백그라운드 쓰레드 기동. 비활성 상태로 시작해도 thread 자체는 살아있음 + → DB 토글로 즉시 활성화 가능.""" + if self._thread and self._thread.is_alive(): + return True + self._running = True + self._thread = threading.Thread( + target=self._loop, daemon=True, name="MarketGuard" + ) + self._thread.start() + logger.info( + "✅ MarketGuard 시작 (enabled=%s, indexes=%s, " + "5min=-%.1f%%, daily=-%.1f%%, recovery=+%.1f%%, poll=%ds)", + self.enabled, self.index_codes, self.drop_5min, self.drop_daily, + self.recovery_pct, self.poll_sec, + ) + return True + + def stop(self) -> None: + self._running = False + + # ------------------------------------------------------------------ + # 외부 API — 전략에서 호출 + # ------------------------------------------------------------------ + def is_panic(self) -> bool: + """매수 차단 여부. BaseStrategy._scan_and_buy() 가 매 후보마다 호출.""" + with self._lock: + return self.enabled and self._panic + + def panic_reason(self) -> str: + """현재 PANIC 사유 (로그용).""" + with self._lock: + return self._panic_reason + + def status(self) -> Dict: + """heartbeat 로그 등에서 노출용 — 현재 상태 요약.""" + with self._lock: + now = time.time() + indexes_status = [] + for code in self.index_codes: + name = self._INDEX_NAMES.get(code, code) + hist = self._history.get(code) + prdy = self._prev_close.get(code, 0) + if not hist or prdy <= 0: + indexes_status.append({"name": name, "ready": False}) + continue + cur = hist[-1][1] + daily_pct = (cur - prdy) / prdy * 100.0 + five = self._lookup_price_at(hist, now - 300) + five_pct = ((cur - five) / five * 100.0) if five else 0.0 + indexes_status.append({ + "name": name, "ready": True, + "daily_pct": round(daily_pct, 2), + "five_min_pct": round(five_pct, 2), + }) + return { + "enabled": self.enabled, + "panic": self._panic, + "reason": self._panic_reason, + "since_min": round((now - self._panic_since) / 60.0, 1) if self._panic else 0.0, + "indexes": indexes_status, + } + + # ------------------------------------------------------------------ + # 메인 루프 + # ------------------------------------------------------------------ + def _loop(self) -> None: + last_log_ts = 0.0 + while self._running: + try: + self._reload_config() + + # 비활성 시 천천히 대기 (DB 폴링 부하 ↓, 토글 즉시 반응) + if not self.enabled: + time.sleep(max(10, self.poll_sec)) + continue + + # 장중에만 감시 (장외에는 지수 데이터 정적 → 폴링 무의미) + if not self._is_market_hours(): + time.sleep(60) + continue + + self._tick() + + # 60초에 1번 상태 로그 (정상 동작 확인용) + now = time.time() + if now - last_log_ts >= 60: + last_log_ts = now + self._log_status() + + except Exception as e: + logger.error("MarketGuard 루프 예외: %s", e) + + time.sleep(self.poll_sec) + + @staticmethod + def _is_market_hours() -> bool: + """장 시간 체크 (BaseStrategy.check_market_status 와 동일 정책).""" + if get_env_bool("FORCE_MARKET_OPEN", False): + return True + now = dt.now() + h, m = now.hour, now.minute + return (9 <= h < 15) or (h == 15 and m <= 30) + + # ------------------------------------------------------------------ + def _tick(self) -> None: + """모든 감시 지수 1회 폴링 + PANIC 판정.""" + now = time.time() + for code in self.index_codes: + try: + out = self.client.inquire_index_price(code) + except Exception as e: + logger.debug("지수 조회 실패 (%s): %s", code, e) + continue + if not out: + continue + + try: + cur = float(str(out.get("bstp_nmix_prpr", 0)).replace(",", "")) + prdy_close = float( + str(out.get("bstp_nmix_prdy_clpr", 0)).replace(",", "") + ) + except (ValueError, AttributeError): + continue + if cur <= 0 or prdy_close <= 0: + continue + + with self._lock: + # 전일 종가 저장 (일중 누적 판정용 — 매번 갱신 OK, 같은 값) + self._prev_close[code] = prdy_close + + # 가격 deque 업데이트 (10분 이상 된 데이터 자동 삭제) + hist = self._history.setdefault(code, deque(maxlen=120)) + hist.append((now, cur)) + cutoff = now - 600 + while hist and hist[0][0] < cutoff: + hist.popleft() + + # ── PANIC 판정 ──────────────────────────────── + self._evaluate_panic(code, cur, prdy_close, now) + + def _evaluate_panic( + self, code: str, cur: float, prdy_close: float, now: float, + ) -> None: + """단일 지수 기준 PANIC 진입/해제 판정. _lock 보유 상태 가정.""" + name = self._INDEX_NAMES.get(code, code) + + # 일중 누적 등락률 (전일 종가 대비) + daily_chg = (cur - prdy_close) / prdy_close * 100.0 + # 5분 누적 등락률 (5분 전 가격 vs 현재가) + hist = self._history.get(code, deque()) + five_min_ago_price = self._lookup_price_at(hist, now - 300) + if five_min_ago_price: + five_min_chg = (cur - five_min_ago_price) / five_min_ago_price * 100.0 + else: + five_min_chg = 0.0 # 5분치 데이터 아직 부족 (시작 직후) + + if not self._panic: + # PANIC 진입 조건 + reasons: List[str] = [] + if daily_chg <= -abs(self.drop_daily): + reasons.append(f"일중 {daily_chg:+.2f}% (한계 -{self.drop_daily:.1f}%)") + if five_min_chg <= -abs(self.drop_5min): + reasons.append(f"5분 {five_min_chg:+.2f}% (한계 -{self.drop_5min:.1f}%)") + if reasons: + self._panic = True + self._panic_index = code + self._panic_reason = f"{name} " + " / ".join(reasons) + self._panic_since = now + logger.warning( + "🚨 [MarketGuard] PANIC 진입: %s — 모든 전략 신규 매수 차단", + self._panic_reason, + ) + else: + # PANIC 해제 조건: 트리거된 지수의 5분 누적 +N% 반등 + # (다른 지수 반등은 무시 — 같은 지수가 회복해야 진짜 회복) + if code != self._panic_index: + return + if five_min_chg >= abs(self.recovery_pct): + duration_min = (now - self._panic_since) / 60.0 + logger.warning( + "✅ [MarketGuard] PANIC 해제: %s 5분 %+.2f%% 반등 " + "(지속 %.1f분, 매수 재개)", + name, five_min_chg, duration_min, + ) + self._panic = False + self._panic_reason = "" + self._panic_index = "" + self._panic_since = 0.0 + + @staticmethod + def _lookup_price_at( + hist: Deque[Tuple[float, float]], target_ts: float, + ) -> Optional[float]: + """deque 에서 target_ts 이전(≤) 시각 중 가장 최근 가격 반환. + 없으면 None (= 데이터 부족, 5분 비교 스킵).""" + best = None + for ts, val in hist: + if ts <= target_ts: + best = val + else: + break + return best + + def _log_status(self) -> None: + """60초에 한 번씩 평상시/PANIC 상태 로그.""" + with self._lock: + if self._panic: + duration_min = (time.time() - self._panic_since) / 60.0 + logger.warning( + "⛔ [MarketGuard] PANIC 모드 진행 중 — %s (지속 %.1f분)", + self._panic_reason, duration_min, + ) + return + + # 평상시 한 줄 요약 (감시 지수별 일중/5분 등락률) + parts = [] + now = time.time() + for code in self.index_codes: + name = self._INDEX_NAMES.get(code, code) + hist = self._history.get(code) + prdy = self._prev_close.get(code, 0) + if not hist or prdy <= 0: + parts.append(f"{name}=대기") + continue + cur = hist[-1][1] + daily = (cur - prdy) / prdy * 100.0 + five = self._lookup_price_at(hist, now - 300) + five_chg = ((cur - five) / five * 100.0) if five else 0.0 + parts.append(f"{name} 일중{daily:+.2f}% 5분{five_chg:+.2f}%") + if parts: + logger.info("📊 [MarketGuard] 정상 — %s", " | ".join(parts)) diff --git a/kis_trader/network/ranking_manager.py b/kis_trader/network/ranking_manager.py new file mode 100644 index 0000000..131ed1a --- /dev/null +++ b/kis_trader/network/ranking_manager.py @@ -0,0 +1,313 @@ +""" +kis_trader/network/ranking_manager.py — 거래량/체결강도 순위 기반 유니버스 +============================================================================ +전략별 유니버스를 KIS 랭킹 REST(volume-rank FHPST01710000) 로 갱신하는 매니저. + +왜 조건검색 대신 랭킹인가: + * 조건검색은 "구조적 필터" (20일 신고가·이평정배열 등 돌파용) 에 강하지만 + "지금 반등 중" 같은 동적 판단엔 약하다. + * 실제 매매 시점 판정은 전략 코드에서 정밀 계산 (체결강도·분봉 반등 등) 하면 + 충분. 유니버스 단계에선 **활발한 종목 풀** 만 뽑으면 됨. + * 거래량/체결강도 상위는 KIS REST 한 방에 100~200건을 받아올 수 있고 + 재현 가능(tick 단위 저장 가능) → 백테스트 친화. + +동작: + 1. configs 리스트로 전략별 랭킹 소스 지정. + configs = [ + {"strategy_id": "SCALP", "sort": "volume", "limit": 100, "market": "J"}, + {"strategy_id": "SHORT", "sort": "volume", "limit": 100, "market": "J"}, + # sort 후보: volume | trading_value | strength | fluct_up | fluct_down + ] + 2. 동일 (sort, market, limit) 조합은 REST 1회만 호출 (캐시). + 3. 변동 감지 tick 마다 target_candidates_history 에 초단위 ``event_time`` 으로 + **즉시 INSERT** (ConditionSearchManager 와 동일 패턴). + — 버퍼/배치 flush 는 단일 행 INSERT 대비 실익이 없고 crash 내구성만 낮추므로 + 제거. INSERT 1회 ≈ 1ms 미만이라 10초 폴링 루프에 영향 없음. + +ConditionSearchManager 와의 공용 인터페이스 (전략 쪽에서는 구분 불필요): + - start() / stop() + - get_universe_for(strategy_id) -> Set[str] + - get_candidates_for(strategy_id) -> List[Dict] + - get_universe() -> Set[str] (전체 합집합) + - _configs 속성 (heartbeat 용) +""" +from __future__ import annotations + +import random +import threading +import time +from datetime import datetime as dt +from typing import Callable, Dict, List, Optional, Set, Tuple + +from ..utils.env import get_env_bool, get_env_int +from ..utils.logger import get_logger + +logger = get_logger("kis_trader.rank") + + +_SORT_MAP = { + # 공개 별칭 → KIS FID_BLNG_CLS_CODE 매핑 + "volume": "0", + "vol": "0", + "trading_value": "3", + "value": "3", + "strength": "6", + "cntr_str": "6", + "fluct_up": "4", + "up": "4", + "fluct_down": "5", + "down": "5", + "decline": "5", +} + + +class VolumeRankManager: + """거래량/체결강도 순위 기반 동적 유니버스 매니저. + + 저장 정책: 변동 감지 tick 마다 초단위 ``event_time`` 으로 DB 에 **즉시 INSERT**. + (과거엔 큐 + 기록원 스레드로 배치 flush 했으나, 단일 행 INSERT 대비 실익이 + 없고 crash 시 미-flush tick 유실 위험만 낮추므로 제거했다.) + """ + + def __init__( + self, + *, + client, + configs: List[Dict], + on_change: Optional[Callable[[str, Set[str], Set[str], Set[str]], None]] = None, + poll_interval_sec: Optional[float] = None, + db=None, + ): + self.client = client + self.on_change = on_change + self.db = db + self.poll_interval = float( + poll_interval_sec + if poll_interval_sec is not None + else get_env_int("RANKING_POLL_INTERVAL_SEC", 10) + ) + # 히스토리 저장 플래그 (ConditionSearchManager 와 env 공유 의도로 이름은 UNIVERSE_HISTORY_SAVE) + self.history_enabled = get_env_bool("UNIVERSE_HISTORY_SAVE", True) + + # 설정 정규화 + self._configs: List[Dict] = [] + for c in configs or []: + sid = str(c.get("strategy_id") or "").strip().upper() + if not sid: + continue + sort_key = str(c.get("sort") or "volume").strip().lower() + blng = _SORT_MAP.get(sort_key) + if not blng: + logger.warning( + "⚠️ 알 수 없는 sort=%s (strategy=%s) → 'volume' 사용", + sort_key, sid, + ) + sort_key = "volume" + blng = "0" + self._configs.append({ + "strategy_id": sid, + "sort": sort_key, + "blng": blng, + "market": str(c.get("market") or "J").strip() or "J", + "limit": int(c.get("limit") or 100), + "exclude_non_stock": bool(c.get("exclude_non_stock", True)), + }) + + self._thread: Optional[threading.Thread] = None + self._running = False + + self._current: Dict[str, Set[str]] = {} + self._name_map: Dict[str, str] = {} + self._initialized: Set[str] = set() + self._lock = threading.Lock() + + # ------------------------------------------------------------------ + # Public API + # ------------------------------------------------------------------ + def start(self) -> bool: + if not self._configs: + logger.info("랭킹 매니저 configs 없음 → 비활성") + return False + + for cfg in self._configs: + logger.info( + "🔗 랭킹 매핑: strategy=%s sort=%s market=%s limit=%d", + cfg["strategy_id"], cfg["sort"], cfg["market"], cfg["limit"], + ) + + self._running = True + + self._thread = threading.Thread( + target=self._loop, daemon=True, name="VolumeRank", + ) + self._thread.start() + logger.info( + "✅ 랭킹 폴링 시작 (%d개, interval=%ds, history=%s)", + len(self._configs), int(self.poll_interval), + "ON" if (self.history_enabled and self.db is not None) else "OFF", + ) + return True + + def stop(self) -> None: + """폴링 스레드 정리.""" + self._running = False + + def get_universe_for(self, strategy_id: str) -> Set[str]: + sid = (strategy_id or "").upper() + with self._lock: + return set(self._current.get(sid, set())) + + def get_candidates_for(self, strategy_id: str) -> List[Dict]: + """BaseStrategy._load_candidates 와 호환되는 dict 리스트.""" + sid = (strategy_id or "").upper() + with self._lock: + codes = list(self._current.get(sid, set())) + nm = dict(self._name_map) + out = [] + for c in codes: + out.append({ + "code": c, + "name": nm.get(c, c), + "scalp_on": True, + "tail_on": True, + "score": 0.0, + "price": 0.0, + }) + return out + + def get_universe(self) -> Set[str]: + """전체 합집합 (heartbeat/총량 로그용).""" + with self._lock: + out: Set[str] = set() + for s in self._current.values(): + out |= s + return out + + def get_candidates(self) -> List[Dict]: + if not self._configs: + return [] + return self.get_candidates_for(self._configs[0]["strategy_id"]) + + # ------------------------------------------------------------------ + # 내부 + # ------------------------------------------------------------------ + def _loop(self) -> None: + while self._running: + try: + self._tick_all() + except Exception as e: + logger.error("랭킹 루프 예외: %s", e) + jitter = min(1.5, self.poll_interval * 0.1) + sleep_sec = self.poll_interval + random.uniform(0, jitter) + deadline = time.time() + sleep_sec + while time.time() < deadline: + if not self._running: + return + time.sleep(0.5) + + def _tick_all(self) -> None: + # (blng, market, limit) 조합이 같으면 REST 1회만 호출 + cache: Dict[Tuple[str, str, int, bool], List[Dict]] = {} + for cfg in self._configs: + key = (cfg["blng"], cfg["market"], cfg["limit"], cfg["exclude_non_stock"]) + if key in cache: + rows = cache[key] + else: + try: + rows = self.client._fetch_volume_rank( + market=cfg["market"], + blng_cls_code=cfg["blng"], + limit=cfg["limit"], + exclude_non_stock=cfg["exclude_non_stock"], + ) or [] + except Exception as e: + logger.debug( + "랭킹 조회 실패 (blng=%s market=%s): %s", + cfg["blng"], cfg["market"], e, + ) + rows = [] + cache[key] = rows + self._apply_result(cfg["strategy_id"], rows) + + def _apply_result(self, strategy_id: str, rows: List[Dict]) -> None: + new_set: Set[str] = set() + new_names: Dict[str, str] = {} + for r in rows: + code = ( + r.get("mksc_shrn_iscd") or r.get("stk_cd") + or r.get("code") or "" + ).strip() + if not code or len(code) != 6: + continue + name = ( + r.get("hts_kor_isnm") or r.get("stk_nm") + or r.get("prst_name") or code + ).strip() or code + new_set.add(code) + new_names[code] = name + + with self._lock: + prev = self._current.get(strategy_id, set()) + first_tick = strategy_id not in self._initialized + enters = new_set - prev + exits = prev - new_set + self._current[strategy_id] = new_set + self._initialized.add(strategy_id) + for c, n in new_names.items(): + self._name_map[c] = n + + changed = bool(enters or exits) + + if changed: + logger.info( + "🔄 [%s] +%d / -%d (현재 %d종목, rank)", + strategy_id, len(enters), len(exits), len(new_set), + ) + if enters: + preview = ", ".join( + f"{c}({new_names.get(c, c)})" for c in list(sorted(enters))[:5] + ) + logger.info(" ENTER: %s%s", + preview, " …" if len(enters) > 5 else "") + if exits: + preview = ", ".join(sorted(exits)[:5]) + logger.info(" EXIT : %s%s", + preview, " …" if len(exits) > 5 else "") + + if self.on_change and changed: + try: + self.on_change(strategy_id, new_set, enters, exits) + except Exception as e: + logger.warning("on_change 콜백 예외: %s", e) + + # 변동 또는 첫 tick → 풀 스냅샷 저장 (condition 과 동일 테이블/포맷) + if changed or first_tick: + self._save_snapshot(strategy_id, new_set, new_names) + + def _save_snapshot( + self, strategy_id: str, codes: Set[str], names: Dict[str, str], + ) -> None: + """변동 감지 tick 마다 즉시 DB 에 풀 스냅샷 INSERT. + + * ``event_time`` 은 REST 응답 직후 찍은 초단위 시각 (YYYY-MM-DD HH:MM:SS). + * 이 값이 백테스트 매칭 기준 시각이며, DB INSERT 가 1ms 지연되든 100ms + 지연되든 행에 박히는 event_time 은 불변이므로 정합성은 보존. + * 폴링은 10초 주기라 DB 부하 매우 적음. 버퍼링으로 얻을 이득 없음. + """ + if not (self.history_enabled and self.db is not None): + return + event_time = dt.now().strftime("%Y-%m-%d %H:%M:%S") + items = [{"code": c, "name": names.get(c, c)} for c in sorted(codes)] + try: + n = self.db.insert_condition_universe_snapshot( + strategy_id=strategy_id, + event_time=event_time, + items=items, + ) + logger.debug( + "📼 [history/rank] %s @%s %d종목 INSERT", + strategy_id, event_time, n, + ) + except Exception as e: + # INSERT 실패는 매매 흐름에 영향 없어야 함 → 경고만 남기고 계속. + logger.warning("유니버스 히스토리 INSERT 실패 (%s): %s", strategy_id, e) diff --git a/kis_trader/network/ws_manager.py b/kis_trader/network/ws_manager.py new file mode 100644 index 0000000..bb34bcf --- /dev/null +++ b/kis_trader/network/ws_manager.py @@ -0,0 +1,524 @@ +""" +kis_trader/network/ws_manager.py — 단일 WebSocket 허브 (Event Bus) +==================================================================== +설계 목적: + * 두 전략(스캘핑/꼬리잡기)이 각자 WS 연결을 띄우면 같은 종목 2번 구독 → 토큰/approval_key + 경합 + 계정 차단 위험 → 프로세스 전체에서 **단 하나의 WS 세션**만 띄운다. + * 기존 ``kis_ws.KISWebSocketPriceCache`` + ``CandleAggregator`` 를 그대로 재사용. + * 전략별 "구독 관심 종목" 을 **레퍼런스 카운팅**으로 관리. 한 전략이 구독 해제해도 + 다른 전략이 구독 중이면 WS 에서 해제되지 않는다. + +공용 API: + - start() / stop() + - subscribe(code, owner) / unsubscribe(code, owner) + - sync_targets(owner, codes) : 한 전략의 관심 종목을 한 번에 동기화 + - get_price(code) / get_candles(code, tf, n) + - fill_gap(codes=None) : 갭 보정 (WS 연결 직후 자동 + 수동 호출) +""" +from __future__ import annotations + +import queue +import random +import threading +import time +from collections import defaultdict +from typing import Dict, Iterable, List, Optional, Set + +from ..utils.env import get_env_bool, get_env_from_db, get_env_int +from ..utils.logger import get_logger + +logger = get_logger("kis_trader.ws") + +# 기존 kis_ws 모듈 재사용 (검증된 로직 보존 원칙) +# 역할 분리 정책 (kis_scalping_ver2 / kis_short_ver3 와 동일): +# - 실시간 시세(WS) : KIS 실전키 (is_mock=False 고정) +# - 매수/매도 주문·계좌 : KIS (mock 여부는 KIS_MOCK) +# - 유니버스(거래량 순위) : KIS REST volume-rank +# - 과거 봉 웜업·갭보정 : 키움 ka10080 (1/3/15/60분 native 지원) +# → 키움 키 없으면 KIS 1분봉 fallback +try: + from kis_ws import ( + CandleAggregator, + KISWebSocketPriceCache, + _get_kiwoom_creds, + get_kiwoom_candles_df, + ) + _KIS_WS_AVAILABLE = True +except ImportError as _e: + _KIS_WS_AVAILABLE = False + # 서브심볼 import 실패 대응 (패키지만 있고 키움 함수 없는 구버전) + try: + from kis_ws import CandleAggregator, KISWebSocketPriceCache # type: ignore + _KIS_WS_AVAILABLE = True + _get_kiwoom_creds = None # type: ignore[assignment] + get_kiwoom_candles_df = None # type: ignore[assignment] + logger.warning( + "kis_ws 에 키움 함수 없음 → 갭보정 키움 fallback 비활성 " + "(KIS 1분봉 전용): %s", _e, + ) + except ImportError as _e2: + logger.warning("kis_ws 모듈 import 실패 → WS 기능 비활성: %s", _e2) + + +class WSManager: + """ + 단일 WS 허브. 전략은 이 매니저를 공유하고, subscribe/unsubscribe 시 owner 를 전달한다. + + reference counting 예시: + subscribe("005930", owner="SCALP") # refs[005930]={SCALP} → WS subscribe + subscribe("005930", owner="SHORT") # refs[005930]={SCALP,SHORT} → (already subscribed) + unsubscribe("005930", owner="SCALP") # refs[005930]={SHORT} → keep + unsubscribe("005930", owner="SHORT") # refs[005930]=set() → WS unsubscribe + """ + + def __init__(self, *, db, kis_client): + self.db = db + self.kis_client = kis_client + + self.ws_cache: Optional["KISWebSocketPriceCache"] = None + self.candle_agg: Optional["CandleAggregator"] = None + + # owner(전략ID) → 관심 코드 집합 + self._owner_codes: Dict[str, Set[str]] = defaultdict(set) + # code → 보유 중인 owner 집합 (ref counting) + self._code_refs: Dict[str, Set[str]] = defaultdict(set) + # 영구 구독(시장방향 ETF 등) + self._permanent_codes: Set[str] = set() + self._lock = threading.Lock() + + # ── 갭보정 비동기 파이프라인 ───────────────────────────── + # (전략 쓰레드에서 subscribe() 시 동기 REST 호출하면 매수 체크가 + # 수 분간 블로킹됨 → 백그라운드 워커 큐로 이관) + self._gap_q: "queue.Queue[str]" = queue.Queue(maxsize=1024) + self._gap_filled: Set[str] = set() # 이미 갭보정 완료한 코드 + self._gap_inflight: Set[str] = set() # 큐에 등록/처리 중인 코드 + self._gap_lock = threading.Lock() + self._gap_worker_thread: Optional[threading.Thread] = None + # 전체 재갭보정(재접속 시) 중복 트리거 방지 + self._bulk_refill_running = False + + # ------------------------------------------------------------------ + # 시작/종료 + # ------------------------------------------------------------------ + def start(self) -> bool: + """WS 세션 시작. 실패 시 False (봇은 REST 폴백으로 동작).""" + if not _KIS_WS_AVAILABLE: + logger.warning("kis_ws 미설치 → WS 허브 비활성 (REST 폴백만 동작)") + return False + + # ── [중요] WS 는 데이터 수신용이므로 무조건 실전 서버로 접속 ── + # kis_scalping_ver2 와 동일 정책 (모의 계좌라도 시세는 실전 필요) + ws_app_key = get_env_from_db("KIS_APP_KEY_REAL", "") or self.kis_client.app_key + ws_app_secret = get_env_from_db("KIS_APP_SECRET_REAL", "") or self.kis_client.app_secret + if not ws_app_key or not ws_app_secret: + logger.warning("KIS 실전 키 없음 → WS 허브 비활성") + return False + + try: + self.ws_cache = KISWebSocketPriceCache( + app_key=ws_app_key, + app_secret=ws_app_secret, + is_mock=False, # 시세는 실전 서버 고정 + ) + # 봉 타임프레임: 스캘핑(1분) + 꼬리잡기(3분) + 추세 필터(15/60분) + # SCALP/SHORT 양쪽 전략이 쓰는 모든 TF 포함 + tfs = self._resolve_timeframes() + self.candle_agg = CandleAggregator(db=self.db, timeframes=tfs) + self.ws_cache.attach_candle_aggregator(self.candle_agg) + + ok = self.ws_cache.start() + if not ok: + logger.warning("WS start() 실패 → 비활성") + self.ws_cache = None + self.candle_agg = None + return False + + # 갭보정 백그라운드 워커 가동 (subscribe 논블로킹 보장) + self._start_gap_worker() + + # 영구 구독 (KOSPI/KOSDAQ ETF 등) + self._load_permanent_codes() + for code in sorted(self._permanent_codes): + self.ws_cache.subscribe(code) + self._enqueue_gap_fill(code) + logger.info("📡 [영구구독] %s", code) + + # 연결 성공 후 자동 갭 보정 등록 (WS 재접속 시 전체 재갭보정) + self.ws_cache.set_on_connected_callback(self._trigger_bulk_refill_async) + + logger.info( + "✅ WSManager 활성 (tfs=%s, permanent=%d, gap_worker=ON)", + tfs, len(self._permanent_codes), + ) + return True + except Exception as e: + logger.error("WS 초기화 예외: %s", e) + self.ws_cache = None + self.candle_agg = None + return False + + def stop(self) -> None: + try: + if self.ws_cache: + self.ws_cache.stop(clear_subscriptions=True) + except Exception as e: + logger.debug("WS stop 실패: %s", e) + + @property + def is_active(self) -> bool: + return bool(self.ws_cache and self.ws_cache.is_active) + + # ------------------------------------------------------------------ + # 구독 관리 (Reference Counting) + # ------------------------------------------------------------------ + def subscribe(self, code: str, owner: str) -> None: + """ + 한 전략(owner)이 해당 종목에 관심 등록. + ※ 갭보정은 **백그라운드 워커 큐**로 위임하여 전략 쓰레드를 블록하지 않음. + (예전: 여기서 REST 4개 TF 동기 호출 → 매수 체크 2~3분 지연) + """ + if not code or not owner: + return + with self._lock: + self._owner_codes[owner].add(code) + first_ref = not self._code_refs[code] + self._code_refs[code].add(owner) + + if first_ref and self.ws_cache: + self.ws_cache.subscribe(code) + # 신규 구독 → 워커에게 갭보정 위임 (논블로킹) + self._enqueue_gap_fill(code) + + def unsubscribe(self, code: str, owner: str) -> None: + """한 전략(owner)이 관심 해제. 다른 전략이 아직 들고 있으면 WS 는 유지.""" + if not code or not owner: + return + with self._lock: + self._owner_codes[owner].discard(code) + if owner in self._code_refs.get(code, set()): + self._code_refs[code].discard(owner) + still_refs = bool(self._code_refs.get(code)) + is_permanent = code in self._permanent_codes + + if not still_refs and not is_permanent and self.ws_cache: + self.ws_cache.unsubscribe(code) + if self.candle_agg: + self.candle_agg.remove_code(code) + + def sync_targets(self, owner: str, codes: Iterable[str]) -> None: + """ + 한 전략의 관심 종목 목록을 통째로 동기화. + - 기존 관심 종목 중 없어진 것은 unsubscribe + - 새로 추가된 것은 subscribe + """ + new_set = {c for c in codes if c} + with self._lock: + cur = set(self._owner_codes.get(owner, set())) + + for code in sorted(cur - new_set): + self.unsubscribe(code, owner) + for code in sorted(new_set - cur): + self.subscribe(code, owner) + + # ------------------------------------------------------------------ + # 조회 헬퍼 (전략이 쓰는 API) + # ------------------------------------------------------------------ + def get_price(self, code: str, max_age_sec: float = 5.0) -> Optional[dict]: + if not self.ws_cache: + return None + try: + return self.ws_cache.get_price(code, max_age_sec=max_age_sec) + except Exception: + return None + + def get_candles(self, code: str, tf: int, n: int = 50) -> list: + if self.candle_agg: + try: + return self.candle_agg.get_candles(code, tf, n) + except Exception: + return [] + # CandleAggregator 없으면 DB 폴백 + try: + return self.db.get_ws_candles(code, tf, limit=n, confirmed_only=True) + except Exception: + return [] + + def fill_gap(self, codes: Optional[Iterable[str]] = None) -> None: + """외부에서 수동으로 갭 보정 트리거 (비동기: 큐 등록 후 즉시 리턴).""" + if codes is None: + self._trigger_bulk_refill_async() + else: + for c in codes: + self._enqueue_gap_fill(c) + + # ------------------------------------------------------------------ + # 내부: 갭 보정 — 백그라운드 워커 파이프라인 + # ------------------------------------------------------------------ + def _start_gap_worker(self) -> None: + """갭보정 전담 데몬 워커 스레드 기동 (단일 워커 → REST 레이트리밋 자연 직렬화).""" + if self._gap_worker_thread and self._gap_worker_thread.is_alive(): + return + t = threading.Thread( + target=self._gap_worker_loop, + name="WS-GapFillWorker", + daemon=True, + ) + t.start() + self._gap_worker_thread = t + logger.info("✅ 갭보정 워커 스레드 시작 (queue 기반 비동기 처리)") + + def _enqueue_gap_fill(self, code: str) -> None: + """구독 직후 호출 — 갭보정 큐에 논블로킹 등록. + + 중복 방지: + - 이미 완료(`_gap_filled`) → 스킵 + - 이미 큐/처리 중(`_gap_inflight`) → 스킵 + """ + if not code: + return + with self._gap_lock: + if code in self._gap_filled or code in self._gap_inflight: + return + self._gap_inflight.add(code) + try: + self._gap_q.put_nowait(code) + except queue.Full: + # 큐가 가득 차면 inflight 해제 후 포기 (WS 틱으로 자연 누적) + with self._gap_lock: + self._gap_inflight.discard(code) + logger.warning("⚠️ 갭보정 큐 full → %s 스킵 (WS 실시간 누적으로 대체)", code) + + def _trigger_bulk_refill_async(self) -> None: + """WS 재접속 시 현재 구독된 전 종목의 갭보정 완료 마커를 리셋하고 재큐잉.""" + if not (self.ws_cache and self.candle_agg): + return + if self._bulk_refill_running: + return + self._bulk_refill_running = True + + def _bulk(): + try: + with self.ws_cache._sub_lock: + codes = sorted(self.ws_cache._subscribed) + # 재접속이므로 모든 종목 갭보정 재실행 + with self._gap_lock: + self._gap_filled.clear() + logger.info( + "🔄 [갭보정-전체] WS 재접속 → %d종목 큐 재등록", len(codes), + ) + for code in codes: + self._enqueue_gap_fill(code) + finally: + self._bulk_refill_running = False + + threading.Thread(target=_bulk, name="WS-BulkRefill", daemon=True).start() + + def _gap_worker_loop(self) -> None: + """단일 워커 루프: 큐에서 코드 꺼내 순차 처리 → REST 레이트리밋 자연 완충.""" + # 크레덴셜은 첫 작업 시점에 1회 조회 후 캐시 (env 변경 무시하고 세션 유지) + kw_key = kw_secret = None + kw_mock = False + kw_resolved = False + + while True: + try: + code = self._gap_q.get(timeout=1.0) + except queue.Empty: + continue + + if code is None: # 종료 시그널 + return + + # 장중만 실행 (장외면 완료 마커 찍고 다음) + if not self._is_market_hours() and not get_env_bool("WS_GAP_FILL_OFF_HOURS", False): + with self._gap_lock: + self._gap_inflight.discard(code) + self._gap_filled.add(code) + self._gap_q.task_done() + continue + + if not kw_resolved: + kw_key, kw_secret, kw_mock = self._get_kiwoom_credentials() + use_kiwoom = bool(kw_key and kw_secret and get_kiwoom_candles_df is not None) + if use_kiwoom: + kw_status = f"✅ ({'모의' if kw_mock else '실전'})" + else: + kw_status = "❌" + logger.info( + "🔧 [갭보정-워커] kiwoom=%s, KIS_fallback=%s", + kw_status, + "ON" if get_env_bool("WS_GAP_FILL_KIS_FALLBACK", False) else "OFF", + ) + kw_resolved = True + + try: + self._fill_gap_for_code( + code, + kw_key=kw_key, kw_secret=kw_secret, kw_mock=kw_mock, + ) + except Exception as e: + logger.debug("갭보정 워커 예외 (%s): %s", code, e) + finally: + with self._gap_lock: + self._gap_inflight.discard(code) + self._gap_filled.add(code) + self._gap_q.task_done() + + # 종목 간 짧은 sleep (REST 레이트리밋 완충) + time.sleep(random.uniform(0.2, 0.4)) + + @staticmethod + def _is_market_hours() -> bool: + """ + 09:00~15:30 KST 평일 여부. + KIS 모의투자 서버는 장외시간 inquire-time-itemchartprice 호출에 + HTTP 500 을 던지므로, 갭보정 REST 호출은 장중에만 시도한다. + (키움 ka10080 은 장외에도 동작하지만, 매매 자체가 장중에만 의미 있으므로 통일) + """ + now = time.localtime() + if now.tm_wday >= 5: # 토/일 + return False + hhmm = now.tm_hour * 100 + now.tm_min + return 900 <= hhmm <= 1530 + + def _get_kiwoom_credentials(self): + """ + 키움 분봉 갭보정용 키 조회 — **KIS 처럼 모의/실전 토글 가능**. + + 토글 결정 우선순위 + ------------------ + 1) ``KIWOOM_MOCK`` (있으면 단독 사용 — 키움만 별도 토글하고 싶을 때) + 2) 미지정 시 ``KIS_MOCK`` 폴백 (한 번만 설정해도 동기화) + + 키 슬롯 매핑 + ----------- + mock=True → ``KIWOOM_APP_KEY_MOCK`` → 없으면 ``KIWOOM_APP_KEY`` (레거시) 폴백 + mock=False → ``KIWOOM_APP_KEY_REAL`` → 없으면 ``KIWOOM_APP_KEY`` (레거시) 폴백 + + 키 없으면 ``(None, None, is_mock)`` 반환 → 키움 비활성, KIS REST fallback 사용 + (``WS_GAP_FILL_KIS_FALLBACK`` 권장 ON) + + 주의 + ---- + 레거시 폴백은 키-도메인이 어긋나면 키움이 ``8030`` 으로 거부한다. + (예: 모의 전용 키를 실전 도메인에 던지면 8030.) 폴백 사용 시 로그 + 한 줄로 명시한다. + + Returns: + (app_key, app_secret, is_mock) + """ + if get_kiwoom_candles_df is None: + return None, None, False + try: + # ── 1. 토글 결정 ────────────────────────────────────────── + kw_mock_raw = (get_env_from_db("KIWOOM_MOCK", "") or "").strip().lower() + if kw_mock_raw in ("true", "1", "yes", "y", "on"): + is_mock = True + elif kw_mock_raw in ("false", "0", "no", "n", "off"): + is_mock = False + else: + is_mock = get_env_bool("KIS_MOCK", True) + + # ── 2. 키 슬롯 선택 (모의/실전) ─────────────────────────── + if is_mock: + kw_key = (get_env_from_db("KIWOOM_APP_KEY_MOCK", "") or "").strip() + kw_secret = (get_env_from_db("KIWOOM_APP_SECRET_MOCK", "") or "").strip() + else: + kw_key = (get_env_from_db("KIWOOM_APP_KEY_REAL", "") or "").strip() + kw_secret = (get_env_from_db("KIWOOM_APP_SECRET_REAL", "") or "").strip() + + # ── 3. 레거시 단일 필드 폴백 (KIWOOM_APP_KEY/_SECRET) ──── + if not kw_key or not kw_secret: + legacy_key = (get_env_from_db("KIWOOM_APP_KEY", "") or "").strip() + legacy_secret = (get_env_from_db("KIWOOM_APP_SECRET", "") or "").strip() + if legacy_key and legacy_secret: + kw_key = kw_key or legacy_key + kw_secret = kw_secret or legacy_secret + logger.info( + "🔧 [키움] %s 슬롯 비어있어 LEGACY KIWOOM_APP_KEY 폴백 사용 " + "(키-도메인 불일치 시 8030 발생 가능)", + "MOCK" if is_mock else "REAL", + ) + + if not kw_key or not kw_secret: + return None, None, is_mock + + return kw_key, kw_secret, is_mock + except Exception as e: + logger.debug("키움 크레덴셜 조회 예외: %s", e) + return None, None, False + + def _fill_gap_for_code( + self, + code: str, + *, + kw_key: Optional[str] = None, + kw_secret: Optional[str] = None, + kw_mock: bool = False, + ) -> None: + """ + 단일 종목 갭 보정 — 워커 스레드 전용 (전략 쓰레드에서 직접 호출 금지). + + 정책 (기존 kis_scalping_ver2._fill_all_gaps 개선): + [1] 키움 ka10080 우선 (1/3/15/60분봉 native + 과거봉 확보) + [2] 키움 실패 시 KIS fallback — **기본 OFF** (`WS_GAP_FILL_KIS_FALLBACK=false`) + → KIS 모의 서버가 장중에도 HTTP 500 을 자주 반환해 로그 오염 + 백오프 지연. + 키움 있으면 굳이 안 쳐도 됨. WS 틱이 쌓여 자연 보완됨. + → env 로 true 지정 시에만 tf<=3 한정 KIS 호출. + [3] 어느 경로든 실패 → WS 실시간 틱으로 자연 누적 (CandleAggregator) + """ + if not (self.ws_cache and self.candle_agg): + return + if not self._is_market_hours() and not get_env_bool("WS_GAP_FILL_OFF_HOURS", False): + return + + limit = get_env_int("WS_GAP_FILL_LIMIT", 120) + use_kiwoom = bool(kw_key and kw_secret and get_kiwoom_candles_df is not None) + kis_fallback_on = get_env_bool("WS_GAP_FILL_KIS_FALLBACK", False) + + for tf in self.candle_agg.timeframes: + df = None + + if use_kiwoom: + try: + df = get_kiwoom_candles_df( + code, tf, kw_key, kw_secret, + is_mock=kw_mock, n=limit, + ) + except Exception as e: + logger.debug("키움 갭보정 실패 (%s %dM): %s", code, tf, e) + + # KIS fallback — env 로 명시적 ON 일 때만 (1/3분봉 한정) + if (df is None or df.empty) and kis_fallback_on and tf <= 3: + try: + df = self.kis_client.get_minute_chart( + code, period=str(tf), limit=limit, + ) + except Exception as e: + logger.debug("KIS 갭보정 실패 (%s %dM): %s", code, tf, e) + + if df is not None and not df.empty: + self.candle_agg.fill_gap_from_rest(code, tf, df) + + # 같은 종목 내 타임프레임 전환 사이 짧은 sleep (차트 API 레이트리밋) + time.sleep(random.uniform(0.15, 0.3)) + + # ------------------------------------------------------------------ + # 영구 구독 / 타임프레임 해석 + # ------------------------------------------------------------------ + def _load_permanent_codes(self) -> None: + raw = get_env_from_db("PERMANENT_WS_CODES", "069500,229200") + self._permanent_codes = {c.strip() for c in str(raw).split(",") if c.strip()} + + def _resolve_timeframes(self) -> List[int]: + """SCALP 1분 + SHORT 3분 + 추세 15/60분. env 로 확장 가능.""" + tf_raw = get_env_from_db("WS_TIMEFRAMES", "1,3,15,60") + try: + tfs = [int(x.strip()) for x in str(tf_raw).split(",") if x.strip()] + # 최소 1분, 3분은 포함 보장 (두 전략 필수 TF) + for must in (1, 3): + if must not in tfs: + tfs.append(must) + return sorted(set(tfs)) + except Exception: + return [1, 3, 15, 60] diff --git a/kis_trader/scripts/__init__.py b/kis_trader/scripts/__init__.py new file mode 100644 index 0000000..7d315cc --- /dev/null +++ b/kis_trader/scripts/__init__.py @@ -0,0 +1,5 @@ +"""kis_trader/scripts — 일회성 운영/유지보수 스크립트 모음. + +이 디렉토리는 봇 본체(`kis_trader/strategies`, `kis_trader/network` 등) 가 +아니라, 수동 실행용 스크립트만 모은다. +""" diff --git a/kis_trader/scripts/fill_kiwoom_candles.py b/kis_trader/scripts/fill_kiwoom_candles.py new file mode 100644 index 0000000..4f24fd0 --- /dev/null +++ b/kis_trader/scripts/fill_kiwoom_candles.py @@ -0,0 +1,386 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +""" +키움 ka10080 (주식분봉차트조회) 를 이용해 과거 분봉 데이터를 일괄 수집하여 +``ws_candles`` 테이블에 UPSERT 한다. + +목적 +---- +봇이 실시간으로만 캔들을 쌓으면 백테스트 기간이 짧아 파람서치 신뢰도가 낮다. +키움은 과거 봉을 수백~수천 봉까지 조회할 수 있으므로, 이 스크립트로 미리 +채워두면 내일부터 바로 2주치 이상 백테스트를 돌릴 수 있다. + +대상 종목 +--------- +기본적으로 **최근 N일 ``target_candidates_history``** 에 등장한 종목 +(SCALP ∪ SHORT 합집합). ``--codes`` 로 특정 종목만 지정 가능. + +대상 타임프레임 +---------------- +``1, 3, 15, 60`` 분 (WS_TIMEFRAMES 와 동일). 스캘핑/꼬리잡기 모두 커버. + +키움 API 키 +----------- +DB ``env_config`` 테이블에서 로드한다. ``KIS_MOCK`` 값에 따라 실전/모의를 +자동 선택하며, 없으면 레거시 ``KIWOOM_APP_KEY`` / ``KIWOOM_APP_SECRET`` 을 +사용한다. + +사용 예 +-------- + # 7일치, 전체 유니버스, 1/3/15/60분봉 전부 (기본값) + python3 kis_trader/scripts/fill_kiwoom_candles.py + + # 14일치로 확장 + python3 kis_trader/scripts/fill_kiwoom_candles.py --days 14 + + # 특정 종목만 + python3 kis_trader/scripts/fill_kiwoom_candles.py --codes 005930,000660 + + # 1분봉/3분봉만 + python3 kis_trader/scripts/fill_kiwoom_candles.py --timeframes 1,3 + + # 호출만 하고 DB 쓰지 않기 (검증용) + python3 kis_trader/scripts/fill_kiwoom_candles.py --dry-run --codes 005930 +""" + +from __future__ import annotations + +import argparse +import logging +import random +import sys +import time +from datetime import datetime, timedelta +from pathlib import Path +from typing import Iterable, List, Optional, Sequence + +# ─── sys.path: 구봇 루트 (database.py, kis_ws.py) 접근 ───────────────── +HERE = Path(__file__).resolve() +ROOT = HERE.parents[2] # /home/hoon/kis_bot +if str(ROOT) not in sys.path: + sys.path.insert(0, str(ROOT)) + +from database import TradeDB # noqa: E402 +from kis_ws import get_kiwoom_candles_df # noqa: E402 + + +logger = logging.getLogger("fill_kiwoom_candles") + + +# ─── 상수 ───────────────────────────────────────────────────────────── +DEFAULT_TIMEFRAMES = (1, 3, 15, 60) +DEFAULT_DAYS = 7 + +# 장중 거래시간(분): 09:00 ~ 15:30 = 390분 +# 여유분(시간외/초과 수집) 1.3배 곱해서 요청. +_MINUTES_PER_DAY = 390 + +# 타임프레임별 1영업일 당 기대 봉 수 +def _bars_per_day(tf_min: int) -> int: + return max(1, _MINUTES_PER_DAY // tf_min) + + +# ─── 키움 키 로드 ───────────────────────────────────────────────────── +def _load_kiwoom_keys(db: TradeDB) -> tuple[str, str, bool]: + """env_config 에서 키움 앱키/시크릿/모의여부를 로드. + + 우선순위 + 1. KIS_MOCK=true → KIWOOM_APP_KEY_MOCK/SECRET_MOCK + 2. KIS_MOCK=false → KIWOOM_APP_KEY_REAL/SECRET_REAL + 3. 위 둘 다 비어있으면 레거시 KIWOOM_APP_KEY/SECRET + """ + row = db.conn.execute( + "SELECT * FROM env_config ORDER BY id DESC LIMIT 1" + ).fetchone() + if not row: + raise RuntimeError("env_config 테이블이 비어 있습니다.") + r = dict(row) + + is_mock = str(r.get("KIS_MOCK", "")).strip().lower() in ("true", "1", "yes", "on") + + if is_mock: + key = str(r.get("KIWOOM_APP_KEY_MOCK", "") or "").strip() + sec = str(r.get("KIWOOM_APP_SECRET_MOCK", "") or "").strip() + mode = "모의" + else: + key = str(r.get("KIWOOM_APP_KEY_REAL", "") or "").strip() + sec = str(r.get("KIWOOM_APP_SECRET_REAL", "") or "").strip() + mode = "실전" + + if not key or not sec: + key = str(r.get("KIWOOM_APP_KEY", "") or "").strip() + sec = str(r.get("KIWOOM_APP_SECRET", "") or "").strip() + mode += "(레거시)" + + if not key or not sec: + raise RuntimeError( + "키움 API 키 미설정. env_config 에 KIWOOM_APP_KEY_REAL/MOCK 또는 " + "레거시 KIWOOM_APP_KEY 가 있어야 합니다." + ) + + logger.info("🔑 키움 %s 키 로드 완료 (is_mock=%s)", mode, is_mock) + return key, sec, is_mock + + +# ─── 유니버스 코드 추출 ──────────────────────────────────────────────── +def _load_target_codes( + db: TradeDB, + *, + days: int, + strategies: Sequence[str], + explicit_codes: Optional[Sequence[str]] = None, +) -> List[str]: + """대상 종목 코드 리스트 반환. + + ``explicit_codes`` 가 있으면 그것만 사용. + 없으면 최근 ``days`` 일 ``target_candidates_history`` 에서 + ``strategies`` 에 속한 코드를 합집합으로 추출. + """ + if explicit_codes: + codes = [c.strip() for c in explicit_codes if c.strip()] + logger.info("📌 --codes 지정 → %d종목", len(codes)) + return codes + + placeholders = ",".join(["%s"] * len(strategies)) + sql = f""" + SELECT DISTINCT code + FROM target_candidates_history + WHERE strategy_id IN ({placeholders}) + AND event_time >= DATE_SUB(NOW(), INTERVAL %s DAY) + ORDER BY code + """ + params = tuple(strategies) + (int(days),) + rows = db.conn.execute(sql, params).fetchall() + codes = [dict(r)["code"] for r in rows] + logger.info( + "📌 최근 %d일 target_candidates_history ∪%s → %d종목", + days, list(strategies), len(codes), + ) + return codes + + +# ─── DB UPSERT 헬퍼 ──────────────────────────────────────────────────── +_INSERT_SQL = """ + INSERT INTO ws_candles + (code, timeframe, candle_time, `open`, high, low, close, + volume, rsi_2, rsi_3, rsi_5, is_confirmed, source, updated_at) + VALUES + (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + `open`=VALUES(`open`), high=VALUES(high), low=VALUES(low), + close=VALUES(close), volume=VALUES(volume), + is_confirmed=VALUES(is_confirmed), updated_at=VALUES(updated_at) +""" + + +def _upsert_candles( + db: TradeDB, + code: str, + tf_min: int, + df, # pd.DataFrame +) -> int: + """DataFrame → ws_candles UPSERT. 성공한 행 수 반환.""" + if df is None or df.empty: + return 0 + + now_str = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + rows = [] + for _, rec in df.iterrows(): + try: + ct = str(rec["time"])[:12] + if len(ct) < 12: + continue + rows.append(( + code, + int(tf_min), + ct, + float(rec["open"]), + float(rec["high"]), + float(rec["low"]), + float(rec["close"]), + int(rec["volume"]), + None, None, None, # rsi_2, rsi_3, rsi_5 (키움 갭보정에는 없음) + 1, # is_confirmed (이미 확정봉) + "kw_rest", # source (ws_candles.source 는 varchar(10)) + now_str, + )) + except Exception as e: + logger.debug("row skip (%s %dM): %s", code, tf_min, e) + + if not rows: + return 0 + + # pymysql executemany 직접 사용 + with db.conn._lock: + db.conn._ensure_connected() + cur = db.conn._conn.cursor() + cur.executemany(_INSERT_SQL, rows) + db.conn._conn.commit() + + return len(rows) + + +# ─── 메인 루프 ──────────────────────────────────────────────────────── +def run( + *, + days: int, + timeframes: Sequence[int], + strategies: Sequence[str], + explicit_codes: Optional[Sequence[str]] = None, + dry_run: bool = False, + per_code_sleep: float = 0.35, + per_tf_sleep: float = 0.25, +) -> None: + db = TradeDB() + + kw_key, kw_sec, is_mock = _load_kiwoom_keys(db) + + codes = _load_target_codes( + db, + days=days, + strategies=strategies, + explicit_codes=explicit_codes, + ) + if not codes: + logger.warning("대상 종목 0개. 종료합니다.") + return + + total_calls = len(codes) * len(timeframes) + logger.info( + "🚀 갭보정 시작: %d종목 × %dTF = %d호출 | 기간 %d일 | dry_run=%s", + len(codes), len(timeframes), total_calls, days, dry_run, + ) + + cutoff_yyyymmdd = (datetime.now() - timedelta(days=days)).strftime("%Y%m%d") + + done_calls = 0 + total_rows = 0 + err_codes: list[tuple[str, int, str]] = [] + t_start = time.time() + + for ci, code in enumerate(codes, start=1): + for tf in timeframes: + done_calls += 1 + # 봉 수 = days × (1영업일 봉 수) × 1.3 (여유) — 페이지네이션으로 필요한만큼만 + n_req = int(_bars_per_day(tf) * days * 1.3) + 10 + + try: + df = get_kiwoom_candles_df( + code, tf, kw_key, kw_sec, + is_mock=is_mock, + n=n_req, + ) + except Exception as e: + err_codes.append((code, tf, str(e))) + logger.warning("❌ %s %dM: %s", code, tf, e) + time.sleep(per_tf_sleep) + continue + + if df is None or df.empty: + logger.debug("… %s %dM: 빈 응답", code, tf) + time.sleep(per_tf_sleep) + continue + + # 요청한 기간만 필터 + try: + df2 = df[df["time"].astype(str).str[:8] >= cutoff_yyyymmdd] + except Exception: + df2 = df + + if dry_run: + logger.info( + "🟡 [dry-run] %s %dM: 키움응답 %d봉, cutoff 이후 %d봉", + code, tf, len(df), len(df2), + ) + else: + n_saved = _upsert_candles(db, code, tf, df2) + total_rows += n_saved + if ci <= 3 or ci % 10 == 0 or tf == timeframes[-1]: + elapsed = time.time() - t_start + eta_s = (elapsed / done_calls) * (total_calls - done_calls) + logger.info( + "💾 [%4d/%4d] %s %2dM: +%4d봉 | 누적%6d봉 | ETA %.1f분", + done_calls, total_calls, code, tf, n_saved, + total_rows, eta_s / 60.0, + ) + + # TF 간 짧은 sleep + time.sleep(per_tf_sleep + random.uniform(0.0, 0.1)) + + # 종목 간 sleep + time.sleep(per_code_sleep + random.uniform(0.0, 0.15)) + + elapsed_total = time.time() - t_start + logger.info("=" * 70) + logger.info( + "✅ 완료: %d종목 × %dTF = %d호출 | 총 UPSERT %d봉 | 소요 %.1f분 | 실패 %d건", + len(codes), len(timeframes), total_calls, total_rows, elapsed_total / 60.0, len(err_codes), + ) + if err_codes: + logger.warning("실패 목록 (최대 10건만 표시):") + for c, tf, msg in err_codes[:10]: + logger.warning(" %s %dM: %s", c, tf, msg[:120]) + + +# ─── CLI ────────────────────────────────────────────────────────────── +def _parse_csv_ints(s: str) -> List[int]: + return [int(x.strip()) for x in s.split(",") if x.strip()] + + +def _parse_csv_str(s: str) -> List[str]: + return [x.strip() for x in s.split(",") if x.strip()] + + +def main(argv: Optional[Iterable[str]] = None) -> int: + ap = argparse.ArgumentParser( + description="키움 ka10080 으로 ws_candles 과거 봉 일괄 갭보정", + formatter_class=argparse.RawDescriptionHelpFormatter, + ) + ap.add_argument( + "--days", type=int, default=DEFAULT_DAYS, + help=f"수집 기간(일수, 기본 {DEFAULT_DAYS})", + ) + ap.add_argument( + "--timeframes", type=_parse_csv_ints, + default=list(DEFAULT_TIMEFRAMES), + help=f"타임프레임 CSV (기본 {','.join(map(str, DEFAULT_TIMEFRAMES))})", + ) + ap.add_argument( + "--strategies", type=_parse_csv_str, + default=["SCALP", "SHORT"], + help="유니버스 추출 대상 전략 (기본 SCALP,SHORT)", + ) + ap.add_argument( + "--codes", type=_parse_csv_str, default=None, + help="특정 종목코드 CSV (지정 시 --strategies 무시)", + ) + ap.add_argument( + "--dry-run", action="store_true", + help="키움 호출만 하고 DB 에 쓰지 않음 (검증용)", + ) + ap.add_argument( + "--log-level", default="INFO", + choices=["DEBUG", "INFO", "WARNING", "ERROR"], + help="로그 레벨 (기본 INFO)", + ) + + args = ap.parse_args(list(argv) if argv is not None else None) + + logging.basicConfig( + level=getattr(logging, args.log_level), + format="%(asctime)s %(levelname)s [%(name)s] %(message)s", + datefmt="%H:%M:%S", + ) + + run( + days=args.days, + timeframes=args.timeframes, + strategies=args.strategies, + explicit_codes=args.codes, + dry_run=args.dry_run, + ) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/kis_trader/strategies/__init__.py b/kis_trader/strategies/__init__.py new file mode 100644 index 0000000..dacfbce --- /dev/null +++ b/kis_trader/strategies/__init__.py @@ -0,0 +1,12 @@ +"""kis_trader.strategies — 전략 모듈 (각 전략 = 독립 쓰레드).""" +from .base import BaseStrategy +from .breakout import BreakoutStrategy +from .scalping import ScalpingStrategy +from .tail_catch import TailCatchStrategy + +__all__ = [ + "BaseStrategy", + "ScalpingStrategy", + "TailCatchStrategy", + "BreakoutStrategy", +] diff --git a/kis_trader/strategies/base.py b/kis_trader/strategies/base.py new file mode 100644 index 0000000..ca4b02b --- /dev/null +++ b/kis_trader/strategies/base.py @@ -0,0 +1,537 @@ +""" +kis_trader/strategies/base.py — 전략 공통 기반 클래스 +====================================================== +각 전략은 **독립 쓰레드**로 돌아간다. 구조: + start() → 백그라운드 thread 기동 → self._run_loop() (while self._running) + stop() → self._running = False + join + +루프 안에서 하는 일: + 1. 장 시간 체크 (check_market_status) + 2. 보유 종목(active_trades where strategy=self.strategy_id) 로드 → 매도 시그널 체크 + 3. target_candidates 중 본인 정책에 맞는 후보 순회 → 매수 시그널 체크 + 4. 시그널 발생 시 OrderManager.place() 로 집중 (실제 주문은 OrderManager 내부에서 종목Lock+ODNO+실잔고검증) +""" +from __future__ import annotations + +import random +import threading +import time +from abc import ABC, abstractmethod +from datetime import datetime as dt +from typing import Dict, List, Optional + +from ..database.db_manager import TradeDBExt +from ..execution.kis_client import KISClient +from ..execution.order_manager import OrderManager +from ..network.ws_manager import WSManager +from ..utils.env import get_env_bool, get_env_from_db, get_env_int +from ..utils.logger import get_logger + + +# ETN/ETF/레버리지/인버스/스팩/우선주 자동 필터 키워드 +# (KISClient._is_valid_stock_for_rank 와 동기화 — 한곳만 수정해도 양쪽 적용되도록 모듈 상수화) +_NON_STOCK_KEYWORDS = ( + "ETN", "ETF", "레버리지", "인버스", "2X", "3X", "선물", + "KODEX", "TIGER", "KBSTAR", "ARIRANG", "HANARO", "SOL ", + "KOSEF", "ACE ", "KINDEX", "RISE ", "PLUS ", "TIMEFOLIO", + "파워", "히어로", "SMART", "TREX", "WON", "KOACT", +) + + +def _is_non_stock(name: str, code: str) -> bool: + """ETN/ETF/스팩/우선주 등 비본주 여부. + + 조건검색·랭킹 매니저 양쪽에서 들어오는 후보를 동일 규칙으로 거르기 위해 + BaseStrategy 단계에서 한번 더 차단한다. False 면 매매 가능 종목. + """ + if not name or not code: + # 이름이 비어있으면 보수적으로 통과 (이후 KIS 응답으로 자연 거름) + return False + nm = name.upper() + if any(k in nm for k in _NON_STOCK_KEYWORDS): + return True + if "스팩" in name or "SPAC" in nm: + return True + if name.endswith("우") or name.endswith("우B") or name.endswith("(전환)"): + return True + # KIS 코드 체계: 7로 시작하는 6자리는 ETN (예: 760006) + code = code.strip() + if len(code) == 6 and code[0] == "7": + return True + return False + + +class BaseStrategy(ABC, threading.Thread): + """ + 모든 전략의 공통 부모 클래스. threading.Thread 상속 → start() 시 독립 쓰레드. + + 서브클래스 구현 필수: + - strategy_id (class attribute 또는 property, 고유 문자열) + - check_buy(code, name) -> Optional[dict] (매수 시그널 dict) + - check_sell_signals() -> List[dict] (매도 시그널 리스트) + - _candidate_filter(c) -> bool (본인이 관심 있는 후보인지) + """ + + strategy_id: str = "BASE" + loop_min_sleep: float = 1.0 + loop_max_sleep: float = 2.0 + + # 전략별 유니버스 소스 기본값 (env 미설정 시) + # SCALP, SHORT → 거래량 랭킹 REST (VolumeRankManager) + # BREAKOUT → HTS 조건검색 (ConditionSearchManager) + DEFAULT_UNIVERSE_SOURCES: Dict[str, str] = { + "SCALP": "ranking", + "SHORT": "ranking", + "BREAKOUT": "condition", + } + + def __init__( + self, + *, + db: TradeDBExt, + client: KISClient, + ws: WSManager, + order_mgr: OrderManager, + condition_mgr=None, + ranking_mgr=None, + market_guard=None, + ): + super().__init__(daemon=True, name=f"Strat-{self.strategy_id}") + self.db = db + self.client = client + self.ws = ws + self.order_mgr = order_mgr + self.condition_mgr = condition_mgr # ConditionSearchManager (선택) + self.ranking_mgr = ranking_mgr # VolumeRankManager (선택) + self.market_guard = market_guard # MarketGuard (선택, None 이면 가드 없음) + self.logger = get_logger(f"kis_trader.strategy.{self.strategy_id}") + # MarketGuard PANIC 차단 로그 스팸 방지용 (분당 1회) + self._panic_log_ts: float = 0.0 + + # 유니버스 소스: "ranking" | "condition" + # env: {STRATEGY_ID}_UNIVERSE_SOURCE — 런타임에 스위치 가능. + key = f"{self.strategy_id}_UNIVERSE_SOURCE" + default = self.DEFAULT_UNIVERSE_SOURCES.get(self.strategy_id, "ranking") + self.universe_source = ( + (get_env_from_db(key, default) or default).strip().lower() + ) + if self.universe_source not in ("ranking", "condition"): + self.logger.warning( + "알 수 없는 UNIVERSE_SOURCE=%s → 기본값 %s 사용", + self.universe_source, default, + ) + self.universe_source = default + + self._running = False + # 보유 종목 (DB active_trades 로부터 로드 — 전략별 필터) + self.holdings: Dict[str, dict] = {} + # 최근 매도 쿨다운 (종목별 마지막 매도 타임스탬프) + self.recently_sold: Dict[str, float] = {} + # 당일 매매불가 종목 (다음 후보로 넘어감) + self.untradable_skip: set = set() + + self._load_holdings_from_db() + + # ------------------------------------------------------------------ + # 외부 인터페이스 + # ------------------------------------------------------------------ + def stop_loop(self) -> None: + """쓰레드 정지 요청 (daemon 이지만 정상 종료 시 호출).""" + self._running = False + + def run(self) -> None: + """threading.Thread.run() 오버라이드 — 전략 메인 루프.""" + self._running = True + self.logger.info("🚀 전략 쓰레드 시작 [%s]", self.strategy_id) + try: + self._run_loop() + except Exception as e: + self.logger.exception("전략 루프 예외: %s", e) + finally: + self.logger.info("⏹ 전략 쓰레드 종료 [%s]", self.strategy_id) + + # ------------------------------------------------------------------ + # 메인 루프 + # ------------------------------------------------------------------ + def _run_loop(self) -> None: + last_date = dt.now().strftime("%Y-%m-%d") + last_closed_log = 0.0 + while self._running: + try: + now = dt.now() + today = now.strftime("%Y-%m-%d") + + # 날짜 변경 처리 (당일 매매불가 리셋 등) + if today != last_date: + last_date = today + self.untradable_skip.clear() + self.on_new_day() + + # 장 시간 체크 (서브클래스 오버라이드 가능) + if not self.check_market_status(): + # 장외 heartbeat: 봇 기동 직후 1회 + 이후 1시간마다 1회. + # (봇 살아있음·보유·유니버스 상태만 확인용 — 잦은 로그 노이즈 제거) + interval = get_env_int("OFF_HOURS_LOG_INTERVAL_SEC", 3600) + if time.time() - last_closed_log >= interval: + try: + universe = self._load_candidates() + except Exception: + universe = [] + self.logger.info( + "🌙 [장외] holdings=%d universe=%d recently_sold=%d", + len(self.holdings), len(universe), len(self.recently_sold), + ) + last_closed_log = time.time() + time.sleep(30) + continue + + # 설정 리로드 (DB env_config 실시간 반영) + self.reload_config() + + # ── [1] 매도 먼저 ──────────────────────────────── + sell_signals = self.check_sell_signals() + for sig in sell_signals: + self._submit_sell(sig) + + # ── [2] 후보 구독 동기화 (공유 WS) ──────────────── + candidates = self._load_candidates() + codes = [c.get("code") for c in candidates if c.get("code")] + # 보유 종목도 구독 유지 + codes += list(self.holdings.keys()) + self.ws.sync_targets(self.strategy_id, codes) + + # ── [3] 매수 체크 ──────────────────────────────── + max_stocks = self._max_stocks() + active_cnt = len(self.holdings) + if candidates and active_cnt < max_stocks: + self._scan_and_buy(candidates, max_stocks, active_cnt) + + time.sleep(random.uniform(self.loop_min_sleep, self.loop_max_sleep)) + + except KeyboardInterrupt: + self._running = False + break + except Exception as e: + self.logger.error("루프 예외: %s", e) + time.sleep(5) + + def _scan_and_buy(self, candidates: List[Dict], max_stocks: int, active_cnt: int) -> None: + # ── 시장 급락 서킷브레이커 가드 ──────────────────────────────── + # MarketGuard 가 PANIC 모드면 신규 매수 전면 차단. + # 매도는 평소처럼 동작 (포지션 정리·손실 확대 방지). + if self.market_guard is not None and self.market_guard.is_panic(): + now_ts = time.time() + if now_ts - self._panic_log_ts >= 60: # 분당 1회만 로그 + self._panic_log_ts = now_ts + self.logger.warning( + "⛔ [매수차단] MarketGuard PANIC: %s (보유 %d, 후보 %d)", + self.market_guard.panic_reason(), active_cnt, len(candidates), + ) + return + + self.logger.info( + "🔍 [매수체크] 후보 %d (보유 %d/%d)", + len(candidates), active_cnt, max_stocks, + ) + for c in candidates: + if not self._running: + return + code = c.get("code") or c.get("stk_cd", "") + name = c.get("name") or c.get("stk_nm", code) + if not code or code in self.holdings: + continue + if code in self.untradable_skip: + continue + if not self._candidate_filter(c): + continue + # 재진입 쿨다운 + cooldown_sec = self._reentry_cooldown_sec() + elapsed = time.time() - self.recently_sold.get(code, 0) + if elapsed < cooldown_sec: + continue + + signal = self.check_buy(code, name) + if not signal: + time.sleep(random.uniform(0.2, 0.5)) + continue + + result = self._submit_buy(signal) + if result and result.success: + time.sleep(random.uniform(1.0, 2.0)) + return # 1루프당 1매수 (포지션 과집중 방지) + time.sleep(random.uniform(0.3, 0.8)) + + # ------------------------------------------------------------------ + # OrderManager 호출 래퍼 + # ------------------------------------------------------------------ + def _submit_buy(self, signal: Dict): + from ..execution.order_manager import OrderRequest + + req = OrderRequest( + strategy_id=self.strategy_id, + code=signal["code"], + name=signal.get("name", signal["code"]), + side="BUY", + qty=int(signal.get("qty", 0)), + price_ref=float(signal.get("price", 0)), + stop_price=float(signal.get("stop_price", 0)), + target_price=float(signal.get("target_price", 0)), + atr_entry=float(signal.get("atr_entry", 0)), + size_class=signal.get("size_class"), + entry_features=signal.get("entry_features"), + ) + result = self.order_mgr.place(req) + if result.success: + # 로컬 holdings 갱신 (DB 는 OrderManager 가 이미 upsert 함) + self.holdings[req.code] = { + "buy_price": result.filled_avg_price, + "qty": result.filled_qty, + "stop_price": req.stop_price, + "target_price": req.target_price, + "max_price": result.filled_avg_price, + "atr_entry": req.atr_entry, + "buy_time": dt.now().strftime("%Y-%m-%d %H:%M:%S"), + "name": req.name, + "size_class": req.size_class or "", + } + else: + # 매매불가 종목은 당일 제외 + if result.reason and "order_reject" in result.reason: + if any(k in (result.reason or "") for k in ("매매불가", "40070000")): + self.untradable_skip.add(req.code) + return result + + def _submit_sell(self, signal: Dict): + from ..execution.order_manager import OrderRequest + + req = OrderRequest( + strategy_id=self.strategy_id, + code=signal["code"], + name=signal.get("name", signal["code"]), + side="SELL", + qty=int(signal.get("qty", 0)), + price_ref=float(signal.get("current_price", signal.get("price", 0))), + reason=signal.get("reason", ""), + buy_price=float(signal.get("buy_price", 0)), + profit_pct=float(signal.get("profit_pct", 0)), + ) + result = self.order_mgr.place(req) + if result.success: + self.recently_sold[req.code] = time.time() + self.holdings.pop(req.code, None) + return result + + # ------------------------------------------------------------------ + # 서브클래스 공통 헬퍼 + # ------------------------------------------------------------------ + def check_market_status(self) -> bool: + """전략별 매매 허용 시간대 체크. + + DB env 우선순위 (HHMM 정수 — 930=09:30, 1500=15:00): + 1) ``{STRATEGY_ID}_TIME_START`` / ``{STRATEGY_ID}_TIME_END`` + 예: SCALP_TIME_START=900, SCALP_TIME_END=1530 + 2) 미설정 시 글로벌 ``TIME_START`` / ``TIME_END`` + 3) 글로벌도 미설정 시 기본 09:00~15:30 + + ``FORCE_MARKET_OPEN=true`` 면 모든 시간 통과 (백테스트/디버그용). + """ + if get_env_bool("FORCE_MARKET_OPEN", False): + return True + now = dt.now() + if now.weekday() >= 5: # 토/일 + return False + hhmm_now = now.hour * 100 + now.minute + + sid = self.strategy_id.upper() + start = get_env_int(f"{sid}_TIME_START", 0) or get_env_int("TIME_START", 0) or 900 + end = get_env_int(f"{sid}_TIME_END", 0) or get_env_int("TIME_END", 0) or 1530 + + return start <= hhmm_now <= end + + def _max_stocks(self) -> int: + """전략별 동시 보유 한도. + + 우선순위: + 1. ``{STRATEGY_ID}_MAX_STOCKS`` (예: ``SCALP_MAX_STOCKS``) + 2. ``MAX_STOCKS`` (글로벌, 미설정/구버전 호환) + 3. 3 (최후 fallback) + """ + sid = self.strategy_id.upper() + per_strategy = get_env_int(f"{sid}_MAX_STOCKS", 0) + if per_strategy > 0: + return per_strategy + return get_env_int("MAX_STOCKS", 3) + + def _reentry_cooldown_sec(self) -> int: + return get_env_int("REENTRY_COOLDOWN_SEC", 300) + + def _load_holdings_from_db(self) -> None: + """DB active_trades 에서 본 전략 소유 포지션 로드. + + ETN/ETF/스팩 등 비본주는 KIS·키움 API에서 가격 조회 자체가 막혀 매분 + ``[매도-가격없음]`` 로그를 무한 반복하므로 holdings 에서 자동 제외한다. + (사용자가 한투 HTS 에서 직접 처분 — 봇은 매수/매도 시도 없음.) + """ + try: + prefix = self.strategy_id.split("_")[0] if "_" in self.strategy_id else self.strategy_id + rows = self.db.get_active_trades(strategy_prefix=prefix) + skipped_non_stock: list[str] = [] + for code, t in rows.items(): + # 같은 prefix 라도 정확한 strategy 매칭만 가져감 (SCALP* 과 SHORT* 충돌 방지) + if t.get("strategy") and t["strategy"] != self.strategy_id: + continue + if get_env_bool("EXCLUDE_NON_STOCK", True): + name = (t.get("name") or "").strip() + if _is_non_stock(name, code): + skipped_non_stock.append(f"{code}({name})") + continue + self.holdings[code] = { + "buy_price": t.get("avg_buy_price", 0), + "qty": t.get("current_qty", 0), + "stop_price": t.get("stop_price", 0), + "target_price": t.get("target_price", 0), + "max_price": t.get("max_price", 0), + "atr_entry": t.get("atr_at_entry", t.get("atr_entry", 0)), + "buy_time": t.get("buy_date", dt.now().strftime("%Y-%m-%d %H:%M:%S")), + "name": t.get("name", code), + "size_class": t.get("size_class", ""), + } + if self.holdings: + self.logger.info("📂 [DB 복원] 보유 %d종목 (%s)", + len(self.holdings), self.strategy_id) + if skipped_non_stock: + self.logger.warning( + "⚠️ ETN/ETF 보유 자동 제외(매수/매도 모두 봇이 안 건드림 — 한투 HTS에서 직접 처분 권장): %s", + ", ".join(skipped_non_stock), + ) + except Exception as e: + self.logger.warning("DB holdings 로드 실패: %s", e) + + def _load_candidates(self) -> List[Dict]: + """ + 후보 로드 우선순위: + 1) universe_source == "ranking" → VolumeRankManager + 2) universe_source == "condition" → ConditionSearchManager + 3) 선택된 매니저에 설정 없으면 → 반대편 매니저로 폴백 + 4) 둘 다 없으면 → DB target_candidates (레거시 경로) + + ⚡ 런타임 스위치 지원: + 매 호출마다 DB env_config 의 {SID}_UNIVERSE_SOURCE 를 재조회하여 + 재시작 없이 ranking ↔ condition 전환이 가능하다. + (단, 전환 대상 매니저에 본 전략이 '시작 시' 등록돼 있어야 함 — + 조건식 NAME/SEQ 자체 변경은 여전히 재시작 필요) + """ + key = f"{self.strategy_id}_UNIVERSE_SOURCE" + default = self.DEFAULT_UNIVERSE_SOURCES.get(self.strategy_id, "ranking") + current_src = (get_env_from_db(key, default) or default).strip().lower() + if current_src not in ("ranking", "condition"): + current_src = default + if current_src != self.universe_source: + self.logger.info( + "🔄 [유니버스 소스 전환] %s: %s → %s (재시작 없이 즉시 반영)", + self.strategy_id, self.universe_source, current_src, + ) + self.universe_source = current_src + + primary = self.ranking_mgr if self.universe_source == "ranking" else self.condition_mgr + secondary = self.condition_mgr if self.universe_source == "ranking" else self.ranking_mgr + + candidates: List[Dict] = [] + for mgr, tag in ((primary, self.universe_source), + (secondary, "condition" if self.universe_source == "ranking" else "ranking")): + if mgr is None: + continue + if not self._is_strategy_registered(mgr): + continue + try: + universe = mgr.get_universe_for(self.strategy_id) + # 매니저에 등록은 돼 있으나 아직 비어있음 → [] 이 정답 (폴백 금지). + # (설정된 유니버스가 비어있을 수 있는 상태: 장 마감 후 등) + if universe: + candidates = mgr.get_candidates_for(self.strategy_id) or [] + else: + candidates = [] + return self._post_filter_candidates(candidates) + except Exception as e: + self.logger.debug("%s 유니버스 로드 실패: %s", tag, e) + + # 두 매니저 모두 본 전략 설정 없음 → 레거시 DB 경로 + try: + candidates = self.db.get_target_candidates() or [] + except Exception as e: + self.logger.debug("target_candidates 조회 실패: %s", e) + candidates = [] + return self._post_filter_candidates(candidates) + + def _post_filter_candidates(self, candidates: List[Dict]) -> List[Dict]: + """매니저 결과 → ETN/비본주 자동 제외 + 전략별 후보 하드캡. + + - ``EXCLUDE_NON_STOCK=true`` (기본 true): ETN/ETF/스팩/우선주 등 비본주 자동 제외. + KISClient.filter_rank_rows 와 동일 규칙 (`_is_non_stock`). + - ``{STRATEGY_ID}_CAND_LIMIT`` (기본 0=무제한): 매니저 원본 순서 보존하며 상위 N개만 사용. + WS 구독 41 한도 안전 + cond/ranking 폭주 시 매수 체크 분당 회전율 보장. + """ + if not candidates: + return [] + + # 1) 비본주 필터 + if get_env_bool("EXCLUDE_NON_STOCK", True): + filtered: List[Dict] = [] + dropped = 0 + for c in candidates: + code = (c.get("code") or c.get("stk_cd") or "").strip() + name = (c.get("name") or c.get("stk_nm") or "").strip() + if _is_non_stock(name, code): + dropped += 1 + continue + filtered.append(c) + if dropped: + self.logger.debug("🛡 비본주 자동 제외 %d종목 (ETN/ETF/스팩/우선주)", dropped) + candidates = filtered + + # 2) 전략별 후보 하드캡 + sid = self.strategy_id.upper() + cap = get_env_int(f"{sid}_CAND_LIMIT", 0) + if cap > 0 and len(candidates) > cap: + self.logger.debug( + "✂ 후보 하드캡 적용: %d → %d (%s_CAND_LIMIT=%d)", + len(candidates), cap, sid, cap, + ) + candidates = candidates[:cap] + + return candidates + + def _is_strategy_registered(self, mgr) -> bool: + """매니저의 _configs 에 본 전략이 들어있는지.""" + if mgr is None: + return False + try: + cfgs = getattr(mgr, "_configs", []) + return any(c.get("strategy_id") == self.strategy_id for c in cfgs) + except Exception: + return False + + def on_new_day(self) -> None: + """날짜 변경 훅 (서브클래스 오버라이드 가능).""" + pass + + def reload_config(self) -> None: + """설정 리로드 훅 (서브클래스 오버라이드).""" + pass + + # ------------------------------------------------------------------ + # 서브클래스 구현 필수 메서드 + # ------------------------------------------------------------------ + @abstractmethod + def check_buy(self, code: str, name: str) -> Optional[Dict]: + """매수 시그널. 성공 시 dict(code/name/price/qty/stop_price/...).""" + raise NotImplementedError + + @abstractmethod + def check_sell_signals(self) -> List[Dict]: + """보유 종목 순회 → 매도 시그널 리스트.""" + raise NotImplementedError + + def _candidate_filter(self, candidate: Dict) -> bool: + """후보 중 본 전략이 관심 있는 것만 True. 기본 True.""" + return True diff --git a/kis_trader/strategies/breakout.py b/kis_trader/strategies/breakout.py new file mode 100644 index 0000000..726d7a0 --- /dev/null +++ b/kis_trader/strategies/breakout.py @@ -0,0 +1,333 @@ +""" +kis_trader/strategies/breakout.py — 돌파 매매 (Breakout) +============================================================= +전제: + * 유니버스는 HTS 에 저장된 "우상향 돌파" 조건식에서 REST 로 폴링 + (``ConditionSearchManager``). 즉 "절대 바닥 잡기" 가 아니라 이미 강세인 + 종목들 사이에서 돌파의 질(Q) 만 검증한다. + * 진입은 '장 초반 골든타임' 한정 (09:00 ~ BREAKOUT_GOLDEN_END_HM). + 오후장 돌파는 거의 속임수(휩쏘) → 봇이 쫓지 않는다. + +매수 필터 (네 가지 모두 만족): + 1) 저항선 돌파 : 최근 ``BREAKOUT_LOOKBACK_MIN`` 분봉의 고가 > 최대고가(전고점) + 2) 거래량 폭발 : 돌파 봉 거래량 ≥ 최근 ``BREAKOUT_VOL_WIN`` 봉 평균 × ``BREAKOUT_VOL_MULT`` + 3) 상승 확증 : 직전 봉 종가 대비 현재가 상승 & 종가 > 시가 + 4) 이격 과열 X : 당일 상승률 ≤ BREAKOUT_MAX_DAILY_CHG (기본 15%) + +매도: + * 손절 : 진입가 × (1 + BREAKOUT_STOP_LOSS_PCT) (기본 -2%) + * 익절 : 진입가 × (1 + BREAKOUT_TAKE_PROFIT_PCT) (기본 +5%) + * 트레일링 스탑 : 최고가 대비 BREAKOUT_TRAIL_PCT 하락 (기본 1.5%) + * EOD 강제청산 (15:15 이후 전량) + +주문 집행은 모두 ``OrderManager.place()`` 경유 → ODNO·실잔고검증·종목락 공유. +""" +from __future__ import annotations + +import time +from datetime import datetime as dt +from typing import Dict, List, Optional + +from ..utils.env import get_env_float, get_env_from_db, get_env_int +from .base import BaseStrategy + + +class BreakoutStrategy(BaseStrategy): + strategy_id = "BREAKOUT" + loop_min_sleep = 0.8 + loop_max_sleep = 1.8 + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.candle_tf = 1 # 1분봉 기준 + self.reload_config() + + # ------------------------------------------------------------------ + def reload_config(self) -> None: + self.golden_end_hm = get_env_from_db("BREAKOUT_GOLDEN_END_HM", "10:30") + self.lookback_min = get_env_int("BREAKOUT_LOOKBACK_MIN", 30) + self.vol_window = get_env_int("BREAKOUT_VOL_WIN", 20) + self.vol_mult = get_env_float("BREAKOUT_VOL_MULT", 3.0) + self.max_daily_chg = get_env_float("BREAKOUT_MAX_DAILY_CHG", 15.0) + self.min_price = get_env_float("BREAKOUT_MIN_PRICE", 1000.0) + self.slot_money = get_env_int("BREAKOUT_SLOT_MONEY", 2000000) + + self.stop_loss_pct = get_env_float("BREAKOUT_STOP_LOSS_PCT", -0.02) + self.take_profit_pct = get_env_float("BREAKOUT_TAKE_PROFIT_PCT", 0.05) + self.trail_pct = get_env_float("BREAKOUT_TRAIL_PCT", 0.015) + self.eod_hm = get_env_from_db("BREAKOUT_EOD_HM", "15:15") + + # 유니버스 로드는 BaseStrategy._load_candidates 가 이미 조건검색 우선 처리. + def _candidate_filter(self, candidate: Dict) -> bool: + if not candidate.get("code"): + return False + # 골든타임 외에는 check_buy 호출 자체를 차단 → 탈락 로그 노이즈 방지 + if not self._is_golden_time(): + return False + return True + + # ------------------------------------------------------------------ + # 매수 + # ------------------------------------------------------------------ + def _is_golden_time(self) -> bool: + try: + hh, mm = [int(x) for x in self.golden_end_hm.split(":")] + except Exception: + hh, mm = 10, 30 + now = dt.now() + if now.hour < 9: + return False + if now.hour > hh: + return False + if now.hour == hh and now.minute > mm: + return False + return True + + def check_buy(self, code: str, name: str) -> Optional[Dict]: + # 골든타임 가드는 _candidate_filter 에서 이미 처리됨 (방어용 재검사) + if not self._is_golden_time(): + return None + + need_n = max(self.lookback_min, self.vol_window) + 1 + candles = self.ws.get_candles(code, self.candle_tf, n=need_n + 5) + if len(candles) < need_n: + self.logger.info( + "🔍 [캔들부족] %s(%s) need=%d have=%d", + name, code, need_n, len(candles), + ) + return None + + try: + closes = [float(c.get("close", 0)) for c in candles] + highs = [float(c.get("high", 0)) for c in candles] + opens = [float(c.get("open", 0)) for c in candles] + vols = [float(c.get("volume", 0)) for c in candles] + except Exception as e: + self.logger.info("🔍 [캔들파싱] %s(%s): %s", name, code, e) + return None + + curr_close = closes[-1] + curr_open = opens[-1] + curr_vol = vols[-1] + + if curr_close < self.min_price: + self.logger.info( + "🔍 [최소가미달] %s(%s) close=%.0f < min=%.0f", + name, code, curr_close, self.min_price, + ) + return None + + # 1) 저항선 돌파 — 직전 N봉 중 최고가 < 현재 종가 + window_highs = highs[-(self.lookback_min + 1):-1] + if not window_highs: + self.logger.info("🔍 [저항창없음] %s(%s)", name, code) + return None + resistance = max(window_highs) + if curr_close <= resistance: + gap_pct = (curr_close - resistance) / resistance * 100.0 if resistance > 0 else 0.0 + self.logger.info( + "🔍 [저항미돌파] %s(%s) close=%.0f ≤ 저항=%.0f (gap=%.2f%%)", + name, code, curr_close, resistance, gap_pct, + ) + return None + + # 2) 거래량 폭발 + vol_window = vols[-(self.vol_window + 1):-1] + if not vol_window or sum(vol_window) == 0: + self.logger.info("🔍 [거래량창없음] %s(%s)", name, code) + return None + avg_vol = sum(vol_window) / len(vol_window) + if avg_vol <= 0 or curr_vol < avg_vol * self.vol_mult: + ratio = (curr_vol / avg_vol) if avg_vol > 0 else 0.0 + self.logger.info( + "🔍 [거래량부족] %s(%s) volX=%.2f < %.1f (curr=%.0f avg=%.0f)", + name, code, ratio, self.vol_mult, curr_vol, avg_vol, + ) + return None + + # 3) 상승 확증: 양봉 + if curr_close <= curr_open: + self.logger.info( + "🔍 [음봉/도지] %s(%s) close=%.0f ≤ open=%.0f", + name, code, curr_close, curr_open, + ) + return None + # 3) 직전 종가 대비 상승 + if curr_close <= closes[-2]: + chg = (curr_close - closes[-2]) / closes[-2] * 100.0 if closes[-2] > 0 else 0.0 + self.logger.info( + "🔍 [전봉대비하락] %s(%s) close=%.0f ≤ prev=%.0f (%.2f%%)", + name, code, curr_close, closes[-2], chg, + ) + return None + + # 4) 이격 과열 — 당일 시가 대비 상승률 체크 + day_open = opens[0] if opens else curr_open + if day_open > 0: + daily_chg = (curr_close - day_open) / day_open * 100.0 + if daily_chg > self.max_daily_chg: + self.logger.info( + "🔍 [이격과열] %s(%s) 일중 %.2f%% > %.1f%%", + name, code, daily_chg, self.max_daily_chg, + ) + return None + + # 현재가 재확인 (WS) + wsd = self.ws.get_price(code) + curr_price = curr_close + if wsd: + try: + p = abs(float(str(wsd.get("stck_prpr", 0)).replace(",", ""))) + if p > 0: + curr_price = p + except Exception: + pass + + # 포지션 크기 = 손실허용액 / |손절비율| + max_loss_krw = get_env_int("BREAKOUT_MAX_LOSS_PER_TRADE_KRW", 0) \ + or get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) + sl_pct = abs(self.stop_loss_pct) + if max_loss_krw > 0 and sl_pct > 0: + invest_amount = min(max_loss_krw / sl_pct, self.slot_money) + else: + invest_amount = self.slot_money + qty = max(1, int(invest_amount / curr_price)) + + stop_price = curr_price * (1 + self.stop_loss_pct) + target_price = curr_price * (1 + self.take_profit_pct) + + vol_ratio = curr_vol / avg_vol if avg_vol > 0 else 0.0 + self.logger.info( + "🚀 [BREAKOUT 시그널] %s(%s) price=%.0f qty=%d 저항=%.0f volX=%.1f", + name, code, curr_price, qty, resistance, vol_ratio, + ) + return { + "code": code, + "name": name, + "price": curr_price, + "qty": qty, + "stop_price": stop_price, + "target_price": target_price, + "atr_entry": 0.0, + "size_class": "", + "entry_features": { + "resistance": resistance, + "vol_ratio": vol_ratio, + }, + } + + # ------------------------------------------------------------------ + # 매도 + # ------------------------------------------------------------------ + def check_sell_signals(self) -> List[Dict]: + if not self.holdings: + return [] + + try: + eod_hh, eod_mm = [int(x) for x in self.eod_hm.split(":")] + except Exception: + eod_hh, eod_mm = 15, 15 + + now = dt.now() + is_eod = (now.hour > eod_hh) or (now.hour == eod_hh and now.minute >= eod_mm) + + signals: List[Dict] = [] + for code, holding in list(self.holdings.items()): + try: + name = holding.get("name", code) + buy_price = float(holding.get("buy_price", 0)) + qty = int(holding.get("qty", 0)) + max_price = float(holding.get("max_price", buy_price)) + if qty <= 0 or buy_price <= 0: + self.logger.info( + "🔍 [매도-잘못된보유] %s(%s) qty=%d buy=%.0f", + name, code, qty, buy_price, + ) + continue + + current_price = 0.0 + price_src = "" + wsd = self.ws.get_price(code) + if wsd: + try: + current_price = abs(float(str(wsd.get("stck_prpr", 0)).replace(",", ""))) + price_src = "WS" + except Exception: + current_price = 0.0 + if current_price <= 0: + pd_ = self.client.inquire_price(code) + if pd_: + try: + current_price = abs(float(str(pd_.get("stck_prpr", 0)).replace(",", ""))) + price_src = "REST" + except Exception: + current_price = 0.0 + if current_price <= 0: + # 가격 소스 둘 다 실패 — 매도 판단 불가. 분당 1회만 경고. + last_warn = getattr(self, "_sell_no_price_log", {}).get(code, 0) + if time.time() - last_warn >= 60: + if not hasattr(self, "_sell_no_price_log"): + self._sell_no_price_log = {} + self._sell_no_price_log[code] = time.time() + self.logger.warning( + "⚠️ [매도-가격없음] %s(%s) WS+REST 둘 다 실패 → 매도 판단 보류", + name, code, + ) + continue + + # 최고가 갱신 + if current_price > max_price: + max_price = current_price + holding["max_price"] = max_price + + profit_pct = (current_price - buy_price) / buy_price + + reason = None + # EOD 강제청산 + if is_eod: + reason = "eod" + # 손절 + elif current_price <= buy_price * (1 + self.stop_loss_pct): + reason = "stop_loss" + # 익절 + elif current_price >= buy_price * (1 + self.take_profit_pct): + reason = "take_profit" + # 트레일링 + elif ( + max_price > buy_price + and current_price <= max_price * (1 - self.trail_pct) + ): + reason = "trailing" + + if not reason: + # 보유 중이지만 매도 조건 미충족 — 종목별 60초 1회 상태 로그 + if not hasattr(self, "_sell_state_log"): + self._sell_state_log = {} + last = self._sell_state_log.get(code, 0) + if time.time() - last >= 60: + self._sell_state_log[code] = time.time() + sl_line = buy_price * (1 + self.stop_loss_pct) + tp_line = buy_price * (1 + self.take_profit_pct) + trail_line = max_price * (1 - self.trail_pct) if max_price > buy_price else 0.0 + self.logger.info( + "🔍 [보유중] %s(%s) 현재=%.0f 매수=%.0f (%.2f%%) " + "손절=%.0f 익절=%.0f 트레일=%.0f [%s]", + name, code, current_price, buy_price, profit_pct * 100.0, + sl_line, tp_line, trail_line, price_src, + ) + continue + + signals.append({ + "code": code, + "name": name, + "current_price": current_price, + "price": current_price, + "qty": qty, + "buy_price": buy_price, + "profit_pct": profit_pct, + "reason": reason, + }) + except Exception as e: + self.logger.error("매도 시그널 체크 오류(%s): %s", code, e) + + return signals diff --git a/kis_trader/strategies/scalping.py b/kis_trader/strategies/scalping.py new file mode 100644 index 0000000..5f7bbd4 --- /dev/null +++ b/kis_trader/strategies/scalping.py @@ -0,0 +1,344 @@ +""" +kis_trader/strategies/scalping.py — 스캘핑 전략 (1분봉 RSI 과매도 되돌림) +========================================================================== +- 신호 생성: ``scalping_engine.check_buy_signal_live`` / ``check_sell_signal_live`` + → 백테스트와 동일 로직 보장 +- 주문 실행: ``OrderManager.place(OrderRequest(strategy_id="SCALP", ...))`` + → ODNO 저장, 종목 Lock, 실 잔고 검증까지 한 번에 처리 +""" +from __future__ import annotations + +import time +from datetime import datetime as dt +from typing import Dict, List, Optional + +try: + import scalping_engine as se +except ImportError: + se = None + +from ..utils.env import get_env_bool, get_env_float, get_env_from_db, get_env_int +from .base import BaseStrategy + + +class ScalpingStrategy(BaseStrategy): + strategy_id = "SCALP" + loop_min_sleep = 1.0 + loop_max_sleep = 2.0 + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.candle_tf = 1 # 1분봉 + self._scan_engine_params: Optional[Dict] = None + self.reload_config() + + # ------------------------------------------------------------------ + def reload_config(self) -> None: + """env_config 기반 파라미터 리로드 (루프 1회 당 1번).""" + self.min_price = get_env_float("MIN_STOCK_PRICE", 1000.0) + self.high_chase_thr = get_env_float("HIGH_CHASE_THR", 0.96) + self.max_daily_chg = get_env_float("MAX_DAILY_CHG", 20.0) + self.vol_multiplier = get_env_float("VOL_MULTIPLIER", 0.0) + + # 부호 무관하게 항상 손절은 음수, 익절은 양수로 정규화 + # (DB에 0.012/-0.012 어느 쪽이 들어와도 stop_price 가 매수가 아래로 잡히도록.) + self.scalp_stop_loss_pct = -abs(get_env_float("SCALP_STOP_LOSS_PCT", 0.015)) + self.scalp_take_profit_pct = abs(get_env_float("SCALP_TAKE_PROFIT_PCT", 0.015)) + self.scalp_min_drop_rate = get_env_float("SCALP_MIN_DROP_RATE", 0.015) + self.atr_down_mult = get_env_float("ATR_DOWN_MULT", 1.5) + + self.rsi_oversold = get_env_float("SCALP_RSI_OVERSOLD", 25.0) + self.rsi_overbought = get_env_float("SCALP_RSI_OVERBOUGHT", 75.0) + self.slot_money = get_env_int("SLOT_MONEY_DEFAULT", 3000000) + + # ── 진입 모드 토글 ─────────────────────────────────────────── + # reversal: 기존 RSI 과매도 V자 반전 (오리지널) + # momentum: 키움 'scalp' 조건검색(갭상승+신고가) 종목군 따라붙기 + self.scalp_mode = (get_env_from_db("SCALP_MODE", "reversal") or "reversal").strip().lower() + if self.scalp_mode not in ("reversal", "momentum"): + self.logger.warning("SCALP_MODE='%s' 알 수 없음 → reversal 로 fallback", self.scalp_mode) + self.scalp_mode = "reversal" + + if se is not None: + try: + _d = se.get_scalping_defaults_from_db() + self._scan_engine_params = { + **_d, + "rsi_oversold": self.rsi_oversold, + "rsi_overbought": self.rsi_overbought, + "sl_pct": abs(self.scalp_stop_loss_pct), + "tp_pct": self.scalp_take_profit_pct, + "drop_rate": self.scalp_min_drop_rate, + "vol_mult": self.vol_multiplier if self.vol_multiplier > 0 else 0, + "require_reversal_candle": get_env_bool("SCALP_REQUIRE_REVERSAL_CANDLE", True), + # 모멘텀 모드 전용 파라미터 + "mom_rsi_min": get_env_float("SCALP_MOM_RSI_MIN", 50.0), + "mom_rsi_max": get_env_float("SCALP_MOM_RSI_MAX", 80.0), + "mom_vol_mult": get_env_float("SCALP_MOM_VOL_MULT", 1.5), + "mom_vol_win": get_env_int("SCALP_MOM_VOL_WIN", 5), + "mom_time_end_hm": get_env_int("SCALP_MOM_TIME_END_HM", 1430), + # 모멘텀 진입은 횟수 더 많이 (조건검색이 종목 거르므로 회전 빠름) + "max_daily": get_env_int("SCALP_MAX_DAILY", + _d.get("max_daily", 3) if self.scalp_mode != "momentum" else 5), + } + except Exception as e: + self.logger.debug("scalping_engine defaults 조회 실패: %s", e) + + def _candidate_filter(self, candidate: Dict) -> bool: + """scalp_on 이 True 인 후보만 대상.""" + return bool(candidate.get("scalp_on", True)) + + # ------------------------------------------------------------------ + # 매수 + # ------------------------------------------------------------------ + def check_buy(self, code: str, name: str) -> Optional[Dict]: + if se is None: + self.logger.warning("scalping_engine 미탑재 → 매수 체크 스킵") + return None + try: + if get_env_bool("FORCE_BUY_TEST", False): + return self._force_buy_test(code, name) + + candles_raw = self.ws.get_candles(code, self.candle_tf, n=50) + if len(candles_raw) < 5: + return None + candles = [self._norm_candle(c) for c in candles_raw] + + # 엔진 state + today = dt.now().strftime("%Y%m%d") + last_exit_dt = None + if code in self.recently_sold: + try: + last_exit_dt = dt.fromtimestamp(self.recently_sold[code]) + if last_exit_dt.strftime("%Y%m%d") != today: + last_exit_dt = None + except Exception: + pass + try: + today_trades = self.db.get_trades_by_date(today) + daily_cnt = len([ + t for t in today_trades + if t.get("code") == code and str(t.get("strategy", "")).startswith("SCALP") + ]) + except Exception: + daily_cnt = 0 + state = {"last_exit_dt": last_exit_dt, "daily_cnt": daily_cnt} + + params = self._scan_engine_params or {} + if self.scalp_mode == "momentum": + reject, msg, sig = se.check_buy_signal_momentum_live(candles, params, state) + else: + reject, msg, sig = se.check_buy_signal_live(candles, params, state) + if reject: + self.logger.info("🔍 [%s] %s %s: %s", reject, name, code, msg or "") + return None + if not sig: + return None + + latest = candles[-1] + curr_price = float(latest["close"]) + if curr_price < self.min_price: + return None + + # 현재가 보정 (WS → 없으면 REST) + wsd = self.ws.get_price(code) + if wsd: + try: + curr_price = abs(float(str(wsd.get("stck_prpr", curr_price)).replace(",", ""))) or curr_price + except Exception: + pass + if curr_price <= 0: + return None + + # 포지션 크기 = 손실허용액 / 손절비율 + max_loss_krw = get_env_int("SCALP_MAX_LOSS_PER_TRADE_KRW", 0) \ + or get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) + sl_pct = abs(self.scalp_stop_loss_pct) + if max_loss_krw > 0 and sl_pct > 0: + invest_limit = max_loss_krw / sl_pct + invest_amount = min(invest_limit, self.slot_money) + else: + invest_amount = self.slot_money + + # ── [하드캡] 종목당 최대 매수금액 상한 ──────────────────────── + # 우선순위: SCALP 전용 > 공용 > 미설정(=무시) + # 현장에서 "손절%가 작으면 포지션이 비정상적으로 커지는" 문제 방지용. + hard_cap = get_env_int("SCALP_MAX_BUY_AMOUNT", 0) \ + or get_env_int("MAX_BUY_AMOUNT_PER_STOCK", 0) + if hard_cap > 0 and invest_amount > hard_cap: + self.logger.info( + "💰 [투자금 상한 적용] %s: %s원 → %s원 (cap=%s)", + code, f"{int(invest_amount):,}", f"{hard_cap:,}", f"{hard_cap:,}", + ) + invest_amount = hard_cap + + qty = max(1, int(invest_amount / curr_price)) + + stop_price = curr_price * (1 + self.scalp_stop_loss_pct) + target_price = curr_price * (1 + self.scalp_take_profit_pct) + + self.logger.info( + "🎯 [SCALP-%s 시그널] %s(%s) price=%.0f qty=%d RSI=%.1f", + self.scalp_mode.upper(), name, code, curr_price, qty, sig.get("rsi", 0), + ) + return { + "code": code, + "name": name, + "price": curr_price, + "qty": qty, + "stop_price": stop_price, + "target_price": target_price, + "atr_entry": 0.0, + "size_class": "", + "entry_features": {"rsi": sig.get("rsi", 0)}, + } + except Exception as e: + self.logger.info("🔍 [탈락-예외] %s %s: %s", name, code, e) + return None + + def _force_buy_test(self, code: str, name: str) -> Optional[Dict]: + wsd = self.ws.get_price(code) + px = 0.0 + if wsd: + try: + px = abs(float(str(wsd.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + px = 0.0 + if px <= 0: + pd_ = self.client.inquire_price(code) + if pd_: + try: + px = abs(float(str(pd_.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + px = 0.0 + if px <= 0: + return None + qty = max(1, int(self.slot_money / px)) + return { + "code": code, + "name": name, + "price": px, + "qty": qty, + "stop_price": px * (1 + self.scalp_stop_loss_pct), + "target_price": px * (1 + self.scalp_take_profit_pct), + "atr_entry": 0.0, + "size_class": "", + "entry_features": {}, + } + + # ------------------------------------------------------------------ + # 매도 + # ------------------------------------------------------------------ + def check_sell_signals(self) -> List[Dict]: + """엔진 check_sell_signal_live 사용 (백테스트 동일).""" + if not self.holdings: + return [] + if se is None: + return [] + + signals: List[Dict] = [] + now = dt.now() + is_eod = (now.hour == 15 and now.minute >= 25) or now.hour > 15 + + try: + params = se.get_scalping_defaults_from_db() + except Exception: + params = {} + params.update({ + "max_loss_krw": float( + get_env_int("SCALP_MAX_LOSS_PER_TRADE_KRW", 0) + or get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) + ), + "min_drop_pct_for_loss_cut": get_env_float( + "SCALP_MIN_DROP_PCT_FOR_LOSS_CUT", 0.015 + ), + "fee_rate": get_env_float("FEE_RATE_PCT", 0.015) / 100, + "sell_tax": get_env_float("SELL_TAX_RATE_PCT", 0.18) / 100, + "min_margin": get_env_float("SCALP_MIN_PROFIT_PCT", 0.2) / 100, + }) + + for code, holding in list(self.holdings.items()): + try: + name = holding.get("name", code) + buy_price = float(holding.get("buy_price", 0)) + qty = int(holding.get("qty", 0)) + stop = float(holding.get("stop_price", 0)) + target = float(holding.get("target_price", 0)) + max_price = float(holding.get("max_price", buy_price)) + + if qty <= 0 or buy_price <= 0: + continue + + # 현재가 (WS → REST) + current_price = 0.0 + wsd = self.ws.get_price(code) + if wsd: + try: + current_price = abs(float(str(wsd.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + current_price = 0.0 + if current_price <= 0: + pd_ = self.client.inquire_price(code) + if pd_: + try: + current_price = abs(float(str(pd_.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + current_price = 0.0 + if current_price <= 0: + continue + + # max_price 업데이트 + if current_price > max_price: + max_price = current_price + holding["max_price"] = max_price + + profit_pct = (current_price - buy_price) / buy_price if buy_price > 0 else 0 + + position = { + "entry_price": buy_price, + "entry_time": holding.get("buy_time", ""), + "qty": qty, + "stop": stop, + "target": target, + "max_price": max_price, + } + candle = { + "high": max_price, + "low": current_price, + "close": current_price, + "candle_time": now.strftime("%Y%m%d%H%M"), + } + + res = se.check_sell_signal_live(position, candle, params, is_eod=is_eod) + if not res: + continue + reason, exit_price = res + + signals.append({ + "code": code, + "name": name, + "current_price": current_price, + "price": exit_price, + "qty": qty, + "buy_price": buy_price, + "profit_pct": profit_pct, + "reason": reason, + }) + except Exception as e: + self.logger.error("매도 시그널 체크 오류(%s): %s", code, e) + + return signals + + # ------------------------------------------------------------------ + def _norm_candle(self, c: dict) -> dict: + ct = c.get("candle_time") or c.get("candle_time_str", "") + if isinstance(ct, str) and len(ct) == 19 and " " in ct: + ct = ct.replace("-", "").replace(" ", "").replace(":", "")[:12] + return { + "candle_time": ct, + "open": float(c.get("open", 0)), + "high": float(c.get("high", 0)), + "low": float(c.get("low", 0)), + "close": float(c.get("close", 0)), + "volume": float(c.get("volume", 0)), + } diff --git a/kis_trader/strategies/tail_catch.py b/kis_trader/strategies/tail_catch.py new file mode 100644 index 0000000..5390f38 --- /dev/null +++ b/kis_trader/strategies/tail_catch.py @@ -0,0 +1,275 @@ +""" +kis_trader/strategies/tail_catch.py — 꼬리잡기 전략 (3분봉 망치형 되돌림) +========================================================================== +- 신호 생성: ``tail_engine.check_buy_signal_live`` / ``check_sell_signal_live`` +- 주문 실행: ``OrderManager.place(OrderRequest(strategy_id="SHORT", ...))`` +""" +from __future__ import annotations + +import time +from datetime import datetime as dt +from typing import Dict, List, Optional + +try: + import tail_engine as te +except ImportError: + te = None + +from ..utils.env import get_env_bool, get_env_float, get_env_int +from .base import BaseStrategy + + +class TailCatchStrategy(BaseStrategy): + strategy_id = "SHORT" + loop_min_sleep = 1.5 + loop_max_sleep = 2.5 + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.candle_tf = 3 # 3분봉 + self._engine_params: Optional[Dict] = None + self.reload_config() + + # ------------------------------------------------------------------ + def reload_config(self) -> None: + self.min_price = get_env_float("MIN_STOCK_PRICE", 1000.0) + self.stop_loss_pct = get_env_float("STOP_LOSS_PCT", -0.04) + self.take_profit_pct = get_env_float("TAKE_PROFIT_PCT", 0.05) + self.slot_money = get_env_int("SLOT_MONEY_DEFAULT", 3000000) + if te is not None: + try: + self._engine_params = te.get_tail_defaults_from_db(self.db) + except Exception as e: + self.logger.debug("tail_engine defaults 조회 실패: %s", e) + + def _candidate_filter(self, candidate: Dict) -> bool: + """tail_on 이 True 인 후보만 대상 (SCALP 과 분리).""" + return bool(candidate.get("tail_on", True)) + + # ------------------------------------------------------------------ + # 매수 + # ------------------------------------------------------------------ + def check_buy(self, code: str, name: str) -> Optional[Dict]: + if te is None: + self.logger.warning("tail_engine 미탑재 → 매수 체크 스킵") + return None + try: + if get_env_bool("FORCE_BUY_TEST", False): + return self._force_buy_test(code, name) + + min_len = get_env_int("MIN_CANDLE_LEN_TAIL", 14) + candles_raw = self.ws.get_candles(code, self.candle_tf, n=50) + if len(candles_raw) < min_len: + return None + candles = [self._norm_candle(c) for c in candles_raw] + if len(candles) < 10: + return None + + today = dt.now().strftime("%Y%m%d") + last_exit_dt = None + if code in self.recently_sold: + try: + last_exit_dt = dt.fromtimestamp(self.recently_sold[code]) + if last_exit_dt.strftime("%Y%m%d") != today: + last_exit_dt = None + except Exception: + pass + try: + today_trades = self.db.get_trades_by_date(today) + daily_cnt = len([ + t for t in today_trades + if t.get("code") == code and str(t.get("strategy", "")).startswith("SHORT") + ]) + except Exception: + daily_cnt = 0 + state = {"last_exit_dt": last_exit_dt, "daily_cnt": daily_cnt} + + params = self._engine_params or {} + reject, msg, sig = te.check_buy_signal_live(candles, params, state) + if reject: + self.logger.info("🔍 [%s] %s %s: %s", reject, name, code, msg or "") + return None + if not sig: + return None + + curr_price = float(candles[-1]["close"]) + wsd = self.ws.get_price(code) + if wsd: + try: + curr_price = abs(float(str(wsd.get("stck_prpr", curr_price)).replace(",", ""))) or curr_price + except Exception: + pass + if curr_price <= 0 or curr_price < self.min_price: + return None + + # 포지션 크기: 손실허용액 / 손절비율 (꼬리잡기는 손절폭이 스캘핑보다 큼) + max_loss_krw = get_env_int("TAIL_MAX_LOSS_PER_TRADE_KRW", 0) \ + or get_env_int("MAX_LOSS_PER_TRADE_KRW", 200000) + sl_pct = abs(self.stop_loss_pct) + if max_loss_krw > 0 and sl_pct > 0: + invest_limit = max_loss_krw / sl_pct + invest_amount = min(invest_limit, self.slot_money) + else: + invest_amount = self.slot_money + + # ── [하드캡] 종목당 최대 매수금액 상한 ──────────────────────── + # 우선순위: SHORT 전용(=TAIL) > 공용 > 미설정(=무시) + hard_cap = get_env_int("SHORT_MAX_BUY_AMOUNT", 0) \ + or get_env_int("TAIL_MAX_BUY_AMOUNT", 0) \ + or get_env_int("MAX_BUY_AMOUNT_PER_STOCK", 0) + if hard_cap > 0 and invest_amount > hard_cap: + self.logger.info( + "💰 [투자금 상한 적용] %s: %s원 → %s원 (cap=%s)", + code, f"{int(invest_amount):,}", f"{hard_cap:,}", f"{hard_cap:,}", + ) + invest_amount = hard_cap + + qty = max(1, int(invest_amount / curr_price)) + + stop_price = curr_price * (1 + self.stop_loss_pct) + target_price = curr_price * (1 + self.take_profit_pct) + + self.logger.info( + "🎯 [SHORT 시그널] %s(%s) price=%.0f qty=%d tail=%.2f rec=%.0f%% RSI=%.1f", + name, code, curr_price, qty, + sig.get("tail_ratio", 0), sig.get("recovery_pos", 0) * 100, sig.get("rsi_val", 0), + ) + return { + "code": code, + "name": name, + "price": curr_price, + "qty": qty, + "stop_price": stop_price, + "target_price": target_price, + "atr_entry": float(sig.get("atr_calc_val") or 0.0), + "size_class": "", + "entry_features": { + "rsi": sig.get("rsi_val", 50), + "tail_length_pct": sig.get("tail_pct", 0) * 100, + }, + } + except Exception as e: + self.logger.info("🔍 [탈락-예외] %s %s: %s", name, code, e) + return None + + def _force_buy_test(self, code: str, name: str) -> Optional[Dict]: + wsd = self.ws.get_price(code) + px = 0.0 + if wsd: + try: + px = abs(float(str(wsd.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + px = 0.0 + if px <= 0: + pd_ = self.client.inquire_price(code) + if pd_: + try: + px = abs(float(str(pd_.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + px = 0.0 + if px <= 0: + return None + qty = max(1, int(self.slot_money / px)) + return { + "code": code, + "name": name, + "price": px, + "qty": qty, + "stop_price": px * (1 + self.stop_loss_pct), + "target_price": px * (1 + self.take_profit_pct), + "atr_entry": 0.0, + "size_class": "", + "entry_features": {}, + } + + # ------------------------------------------------------------------ + # 매도 + # ------------------------------------------------------------------ + def check_sell_signals(self) -> List[Dict]: + if not self.holdings or te is None: + return [] + + now = dt.now() + is_eod = (now.hour == 15 and now.minute >= 25) or now.hour > 15 + try: + params = te.get_tail_defaults_from_db(self.db) + except Exception: + params = {} + + signals: List[Dict] = [] + for code, holding in list(self.holdings.items()): + try: + name = holding.get("name", code) + buy_price = float(holding.get("buy_price", 0)) + qty = int(holding.get("qty", 0)) + if qty <= 0 or buy_price <= 0: + continue + + current_price = 0.0 + wsd = self.ws.get_price(code) + if wsd: + try: + current_price = abs(float(str(wsd.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + current_price = 0.0 + if current_price <= 0: + pd_ = self.client.inquire_price(code) + if pd_: + try: + current_price = abs(float(str(pd_.get("stck_prpr", 0)).replace(",", ""))) + except Exception: + current_price = 0.0 + if current_price <= 0: + continue + + max_price = float(holding.get("max_price", buy_price)) + if current_price > max_price: + max_price = current_price + holding["max_price"] = max_price + + position = { + "entry_price": buy_price, + "entry_time": holding.get("buy_time", ""), + "qty": qty, + "stop": float(holding.get("stop_price", buy_price * (1 + self.stop_loss_pct))), + "target": float(holding.get("target_price", buy_price * (1 + self.take_profit_pct))), + "max_price": max_price, + } + candle = { + "high": max_price, + "low": current_price, + "close": current_price, + "candle_time": now.strftime("%Y%m%d%H%M"), + } + res = te.check_sell_signal_live(position, candle, params, is_eod=is_eod) + if not res: + continue + reason, exit_price = res + profit_pct = (current_price - buy_price) / buy_price if buy_price > 0 else 0 + signals.append({ + "code": code, + "name": name, + "current_price": current_price, + "price": exit_price, + "qty": qty, + "buy_price": buy_price, + "profit_pct": profit_pct, + "reason": reason, + }) + except Exception as e: + self.logger.error("매도 시그널 체크 오류(%s): %s", code, e) + return signals + + # ------------------------------------------------------------------ + def _norm_candle(self, c: dict) -> dict: + ct = c.get("candle_time") or c.get("candle_time_str", "") + if isinstance(ct, str) and len(ct) == 19 and " " in ct: + ct = ct.replace("-", "").replace(" ", "").replace(":", "")[:12] + return { + "candle_time": ct, + "open": float(c.get("open", 0)), + "high": float(c.get("high", 0)), + "low": float(c.get("low", 0)), + "close": float(c.get("close", 0)), + "volume": float(c.get("volume", 0)), + } diff --git a/kis_trader/utils/__init__.py b/kis_trader/utils/__init__.py new file mode 100644 index 0000000..cacb50b --- /dev/null +++ b/kis_trader/utils/__init__.py @@ -0,0 +1 @@ +"""kis_trader.utils — 공통 유틸(환경변수, 로거, 안전 요청).""" diff --git a/kis_trader/utils/env.py b/kis_trader/utils/env.py new file mode 100644 index 0000000..8bdc2ab --- /dev/null +++ b/kis_trader/utils/env.py @@ -0,0 +1,86 @@ +""" +kis_trader/utils/env.py — DB(env_config) 우선 + os.environ 폴백 환경변수 헬퍼 +=========================================================================== +기존 kis_scalping_ver2 / kis_short_ver3 에 흩어져 있던 `get_env_*` 를 통합. +- DB(env_config 최신 row) → os.environ → default 순으로 조회. +- 하드코딩 금지 원칙에 맞춰 전 모듈에서 이 함수들만 사용하도록 한다. +""" +from __future__ import annotations + +import logging +import os +from typing import Any + +logger = logging.getLogger("kis_trader.env") + +# 순환 import 방지용 레이지 TradeDB 참조 +_db_instance = None + + +def _get_db(): + """TradeDB 싱글톤. 최초 호출 시 MariaDB 연결.""" + global _db_instance + if _db_instance is None: + try: + from database import TradeDB # 프로젝트 루트의 기존 모듈 + _db_instance = TradeDB() + except Exception as e: + logger.warning("TradeDB 초기화 실패(%s) → env_config 조회 불가 → os.environ 폴백", e) + _db_instance = False # 실패 기록 (None과 구분) + return _db_instance or None + + +def set_db(db_obj) -> None: + """외부에서 이미 만든 TradeDB 인스턴스를 재사용할 때 주입.""" + global _db_instance + _db_instance = db_obj + + +def _strip_comment(val: Any) -> Any: + """DB 컬럼에 `#` 이후 주석이 들어 있을 때 제거. 기존 규칙 유지.""" + if isinstance(val, str) and "#" in val: + return val.split("#", 1)[0].strip() + return val + + +def get_env_from_db(key: str, default: str = "") -> str: + """env_config 최신 row → 키 값을 문자열로 반환. 없으면 os.environ → default.""" + db = _get_db() + if db is not None: + try: + row = db.get_latest_env() + if row and row.get("snapshot"): + v = row["snapshot"].get(key) + v = _strip_comment(v) + if v not in (None, ""): + return str(v) + except Exception as e: + logger.debug("env_config 조회 실패 (%s): %s", key, e) + # os.environ 폴백 (기존 호환) + return os.environ.get(key, str(default)) + + +def get_env_float(key: str, default: float) -> float: + raw = get_env_from_db(key, str(default)) + try: + return float(raw) if raw != "" else float(default) + except (ValueError, TypeError): + return float(default) + + +def get_env_int(key: str, default: int) -> int: + raw = get_env_from_db(key, str(default)) + try: + # "1.0" 같은 값이 들어와도 int 캐스팅되도록 float 경유 + return int(float(raw)) if raw != "" else int(default) + except (ValueError, TypeError): + return int(default) + + +def get_env_bool(key: str, default: bool = False) -> bool: + raw = str(get_env_from_db(key, str(default))).strip().lower() + if raw in ("true", "1", "yes", "y", "on"): + return True + if raw in ("false", "0", "no", "n", "off", ""): + return False + return bool(default) diff --git a/kis_trader/utils/logger.py b/kis_trader/utils/logger.py new file mode 100644 index 0000000..aba9ac7 --- /dev/null +++ b/kis_trader/utils/logger.py @@ -0,0 +1,174 @@ +""" +kis_trader/utils/logger.py — 공통 로거 + JSON Atomic Save + 텔레그램/매터모스트 알림 +============================================================================= +- get_logger(name): 표준 포맷(시:분:초 + 메시지)과 ANSI 컬러 로거 반환. +- atomic_save_json / atomic_load_json: 프로세스 동시 실행에도 파일 파손 없이 쓰기. +- msg_mm / msg_tg: 메시지 채널 분리. 서버 부하 방지를 위해 호출 전 짧은 jitter. +""" +from __future__ import annotations + +import json +import logging +import os +import random +import tempfile +import threading +import time +from pathlib import Path +from typing import Any, Optional + +import requests + +from .env import get_env_from_db + +# ── 로깅 ───────────────────────────────────────────────────────────── +# 루트 로거 한 번만 설정 (여러 모듈에서 import되어도 중복 핸들러 안 생기게) +_ROOT_CONFIGURED = False + + +def _configure_root() -> None: + global _ROOT_CONFIGURED + if _ROOT_CONFIGURED: + return + logging.basicConfig( + format="[%(asctime)s] [%(name)s] %(message)s", + datefmt="%H:%M:%S", + level=logging.INFO, + ) + _ROOT_CONFIGURED = True + + +def get_logger(name: str) -> logging.Logger: + """프로젝트 표준 로거.""" + _configure_root() + return logging.getLogger(name) + + +# ── ANSI 컬러 (기존 봇 관례 유지) ────────────────────────────────── +LOG_RED = "\033[91m" +LOG_YELLOW = "\033[93m" +LOG_GREEN = "\033[92m" +LOG_CYAN = "\033[96m" +LOG_RESET = "\033[0m" + + +# ── Atomic JSON I/O ───────────────────────────────────────────────── +# json 파일 손상 방지: 임시파일에 쓰고 os.replace 로 원자적 교체. +# 이벤트 발생 시 즉시 저장(재시작해도 최신 상태 유지). +_IO_LOCK = threading.Lock() + + +def atomic_save_json(path: str | os.PathLike, data: Any) -> bool: + """임시파일 → rename 으로 원자적 저장. 실패해도 기존 파일 보존.""" + p = Path(path) + try: + p.parent.mkdir(parents=True, exist_ok=True) + with _IO_LOCK: + with tempfile.NamedTemporaryFile( + "w", delete=False, dir=str(p.parent), + prefix=p.name + ".", suffix=".tmp", encoding="utf-8", + ) as tf: + json.dump(data, tf, ensure_ascii=False, indent=2) + tf.flush() + os.fsync(tf.fileno()) + tmp_name = tf.name + os.replace(tmp_name, p) + return True + except Exception as e: + logging.getLogger("kis_trader.logger").error( + "atomic_save_json 실패 (%s): %s", p, e + ) + return False + + +def atomic_load_json(path: str | os.PathLike, default: Any = None) -> Any: + p = Path(path) + if not p.exists(): + return default + try: + with _IO_LOCK: + with open(p, "r", encoding="utf-8") as f: + return json.load(f) + except Exception: + return default + + +# ── Mattermost / Telegram 알림 ───────────────────────────────────── +_MM_CONFIG_PATH_CACHE: Optional[Path] = None + + +def _mm_config_path() -> Path: + """mm_config.json 위치 탐색 (프로젝트 루트 기준).""" + global _MM_CONFIG_PATH_CACHE + if _MM_CONFIG_PATH_CACHE is not None: + return _MM_CONFIG_PATH_CACHE + here = Path(__file__).resolve() + # kis_trader/utils/logger.py → kis_bot/ + project_root = here.parent.parent.parent + _MM_CONFIG_PATH_CACHE = project_root / "mm_config.json" + return _MM_CONFIG_PATH_CACHE + + +def _load_mm_channel_id(channel_alias: str) -> Optional[str]: + cfg = atomic_load_json(_mm_config_path(), default={}) + try: + return (cfg.get("channels") or {}).get(channel_alias) + except Exception: + return None + + +def msg_mm(text: str, channel_alias: Optional[str] = None, jitter: bool = True) -> bool: + """ + Mattermost 메시지 전송. + Args: + channel_alias: mm_config.json 의 channels 키. None 이면 MATTERMOST_CHANNEL 사용. + jitter: True 면 0.3~1.2s 랜덤 슬립 (버스트 차단 방지). 실시간 매매 로직에서는 False 권장. + """ + alias = channel_alias or get_env_from_db("MATTERMOST_CHANNEL", "stock") + server_url = get_env_from_db("MM_SERVER_URL", "https://mattermost.hoonfam.org") + bot_token = get_env_from_db("MM_BOT_TOKEN_", "").strip() + cid = _load_mm_channel_id(alias) + if not cid or not bot_token: + logging.getLogger("kis_trader.logger").debug( + "[MM 스킵] alias=%s cid=%s", alias, cid + ) + return False + if jitter: + time.sleep(random.uniform(0.3, 1.2)) + try: + r = requests.post( + f"{server_url}/api/v4/posts", + headers={ + "Authorization": f"Bearer {bot_token}", + "Content-Type": "application/json", + }, + json={"channel_id": cid, "message": text}, + timeout=5, + ) + return r.status_code < 400 + except Exception as e: + logging.getLogger("kis_trader.logger").debug("MM 발송 실패: %s", e) + return False + + +def msg_tg(text: str, jitter: bool = True) -> bool: + """ + Telegram Bot 알림. TELEGRAM_BOT_TOKEN / TELEGRAM_CHAT_ID 둘 다 설정돼 있을 때만 전송. + 실시간 매매 루프에서는 jitter=False 로 호출. + """ + token = get_env_from_db("TELEGRAM_BOT_TOKEN", "").strip() + chat_id = get_env_from_db("TELEGRAM_CHAT_ID", "").strip() + if not token or not chat_id: + return False + if jitter: + time.sleep(random.uniform(0.3, 1.2)) + try: + r = requests.post( + f"https://api.telegram.org/bot{token}/sendMessage", + json={"chat_id": chat_id, "text": text, "parse_mode": "Markdown"}, + timeout=5, + ) + return r.status_code < 400 + except Exception as e: + logging.getLogger("kis_trader.logger").debug("TG 발송 실패: %s", e) + return False diff --git a/kis_trader/utils/request_handler.py b/kis_trader/utils/request_handler.py new file mode 100644 index 0000000..a5d5846 --- /dev/null +++ b/kis_trader/utils/request_handler.py @@ -0,0 +1,155 @@ +""" +kis_trader/utils/request_handler.py — SafeRequest 공통 HTTP 래퍼 +================================================================ +.cursorrules 규정: + "모든 API 요청은 utils/request_handler.py 의 SafeRequest 클래스를 + 상속받아 구현하세요. HTTP 429(Too Many Requests) 에러 발생 시 + 재시도(Retry) 로직을 반드시 포함하세요." + +- 한투 EGW00201 (초당 거래 초과)도 동일 취급. +- 최소 호출 간격 (`min_interval_sec`) 으로 클라이언트 측 스로틀. +- 재시도 시 지수 백오프 (1.0s → 2.0s → 4.0s ... cap 10s) +- 타임아웃 발생 시 1회 재시도 허용. +""" +from __future__ import annotations + +import random +import threading +import time +from typing import Any, Optional + +import requests + +from .logger import get_logger + +logger = get_logger("kis_trader.safe_request") + + +class SafeRequest: + """ + HTTP 요청 공통 기반 클래스. 한투·키움 REST 클라이언트가 상속해서 사용. + """ + + # 429 상태 코드 or 한투 초당거래 초과 msg_cd + RETRYABLE_STATUSES = {429, 500, 502, 503, 504} + KIS_RATE_LIMIT_MSG_CD = {"EGW00201", "EGW00202"} + + def __init__( + self, + min_interval_sec: float = 0.22, + max_retries: int = 5, + backoff_base: float = 1.0, + backoff_cap: float = 10.0, + timeout_sec: float = 10.0, + ): + # 기본값은 안전 마진(한투 REST 공식 초당 5건 내외 감안) + self.min_interval_sec = float(min_interval_sec) + self.max_retries = int(max_retries) + self.backoff_base = float(backoff_base) + self.backoff_cap = float(backoff_cap) + self.timeout_sec = float(timeout_sec) + self._last_call_ts: float = 0.0 + self._throttle_lock = threading.Lock() + + # ------------------------------------------------------------------ + # 내부 유틸 + # ------------------------------------------------------------------ + def _throttle(self) -> None: + """호출 간 최소 간격 보장 (클라이언트 측 429 방지).""" + with self._throttle_lock: + elapsed = time.time() - self._last_call_ts + if elapsed < self.min_interval_sec: + time.sleep(self.min_interval_sec - elapsed) + self._last_call_ts = time.time() + + def _sleep_backoff(self, attempt: int) -> None: + """지수 백오프 + 지터. attempt=1,2,3...""" + wait = min(self.backoff_base * (2 ** (attempt - 1)), self.backoff_cap) + wait += random.uniform(0, 0.3) + time.sleep(wait) + + @staticmethod + def _is_kis_rate_limited(json_body: dict) -> bool: + if not isinstance(json_body, dict): + return False + return json_body.get("msg_cd") in SafeRequest.KIS_RATE_LIMIT_MSG_CD + + # ------------------------------------------------------------------ + # 외부 인터페이스 + # ------------------------------------------------------------------ + def request( + self, + method: str, + url: str, + *, + headers: Optional[dict] = None, + params: Optional[dict] = None, + json_body: Optional[dict] = None, + data: Optional[Any] = None, + timeout: Optional[float] = None, + ) -> requests.Response: + """ + 재시도/스로틀이 포함된 HTTP 호출. + 한투 EGW00201 같은 `status=200 but rate-limited` 도 재시도. + 실패 시 마지막 Response(또는 빈 Response) 반환. + """ + timeout = timeout or self.timeout_sec + last_resp: Optional[requests.Response] = None + for attempt in range(1, self.max_retries + 1): + self._throttle() + try: + resp = requests.request( + method.upper(), + url, + headers=headers, + params=params, + json=json_body, + data=data, + timeout=timeout, + ) + last_resp = resp + + # [1] 재시도 대상 HTTP 상태 + if resp.status_code in self.RETRYABLE_STATUSES: + logger.warning( + "HTTP %d on %s %s (%d/%d) → 백오프 후 재시도", + resp.status_code, method.upper(), url, attempt, self.max_retries, + ) + self._sleep_backoff(attempt) + continue + + # [2] 한투 EGW00201 (HTTP 200 but 초당거래 초과) + if resp.status_code == 200: + try: + body = resp.json() + except Exception: + body = None + if body and self._is_kis_rate_limited(body): + logger.warning( + "KIS rate-limit %s on %s (%d/%d) → 백오프 후 재시도", + body.get("msg_cd"), url, attempt, self.max_retries, + ) + self._sleep_backoff(attempt) + continue + + return resp + except requests.exceptions.Timeout: + logger.warning( + "⏰ Timeout %s %s (%d/%d)", + method.upper(), url, attempt, self.max_retries, + ) + time.sleep(1.0) + except requests.exceptions.RequestException as e: + logger.warning( + "⚠️ RequestException %s %s (%d/%d): %s", + method.upper(), url, attempt, self.max_retries, e, + ) + self._sleep_backoff(attempt) + + return last_resp if last_resp is not None else requests.Response() + + def get(self, url: str, **kw) -> requests.Response: + return self.request("GET", url, **kw) + + def post(self, url: str, **kw) -> requests.Response: + return self.request("POST", url, **kw) diff --git a/kiwoom_universe_scanner.py b/kiwoom_universe_scanner.py index 2b35bb7..7291048 100644 --- a/kiwoom_universe_scanner.py +++ b/kiwoom_universe_scanner.py @@ -463,16 +463,21 @@ class BrokerAPI: # ── MariaDB 저장 ──────────────────────────────────────── def save_to_kis_db(candidates: list, db_path: str = None): """ - target_candidates 테이블에 저장 (MariaDB kis_quant_db). + target_candidates + target_candidates_history 에 저장 (MariaDB kis_quant_db). + 스캔 시점 5분 슬롯으로 이력 적재 → 백테스트 시 '그 시각 유니버스' 사용 가능. db_path 인수는 하위 호환용으로 유지하되 무시됩니다. - TradeDB.update_target_candidates() 를 사용합니다. + TradeDB.update_target_candidates() 한 번 호출로 둘 다 갱신됩니다. """ try: from database import TradeDB db = TradeDB() ok = db.update_target_candidates(candidates) if ok: - logger.info(f'💾 MariaDB 저장 완료: {len(candidates)}종목 → kis_quant_db.target_candidates') + logger.info( + f'💾 MariaDB 저장 완료: {len(candidates)}종목 → target_candidates + target_candidates_history(이력)' + ) + else: + logger.warning('MariaDB 저장 실패 (update_target_candidates 반환 False)') return ok except Exception as e: logger.error(f'MariaDB 저장 실패: {e}') diff --git a/kiwwom_trader/README.md b/kiwwom_trader/README.md new file mode 100644 index 0000000..d284ae8 --- /dev/null +++ b/kiwwom_trader/README.md @@ -0,0 +1,59 @@ +# kiwwom_trader + +키움 REST API + 웹소켓 기반 스캘핑 봇. KIS `kis_scalping_ver2`와 **동일한 로직·구조**를 유지하며, 키움 증권 API로 전환한 버전입니다. + +## 폴더 이전 후에도 동작하도록 + +- **프로젝트 루트**: `KIWOOM_TRADER_ROOT` 환경변수로 지정 가능. 미설정 시 이 폴더(`kiwwom_trader`) 기준. +- **kiwoom_rest_api**: 이 폴더의 **상위 디렉터리** 또는 **형제 디렉터리**에 두면 자동으로 import됩니다. + - 예: `/home/hoon/kiwwom_trader` + `/home/hoon/kiwoom_rest_api` +- **database, scalping_engine** (kis_bot): `KIS_BOT_PATH` 환경변수로 kis_bot 루트 지정. + - 예: `export KIS_BOT_PATH=/home/hoon/kis_bot` + - 미설정 시 상위의 `kis_bot` 폴더를 참조합니다. + +## 실행 + +```bash +# kiwwom_trader 폴더에서 +python run.py +``` + +이전 후 예시: + +```bash +export KIWOOM_TRADER_ROOT=/home/hoon/kiwwom_trader +export KIS_BOT_PATH=/home/hoon/kis_bot +cd /home/hoon/kiwwom_trader +python run.py +``` + +## 구성 + +| 파일 | 역할 | +|------|------| +| `config.py` | ROOT·경로 독립, sys.path 설정, .env 로드 | +| `run.py` | 진입점 | +| `scalping_bot.py` | 키움 REST(주문/조회) + 매수신호(scalping_engine) 메인 루프 | +| `ws_candle_agg.py` | 웹소켓 실시간 체결(0B) → 1분봉 집계 (필요 시 봇에서 연결) | + +## 웹소켓 + +키움 웹소켓 실시간 타입 **0B(주식체결)** 를 구독하면 1분봉을 메모리/DB에 쌓을 수 있습니다. +`ws_candle_agg.py`의 `KiwoomCandleAggregator`와 `build_ws_client_with_candle_callback`를 사용해, +봇 초기화 시 웹소켓 클라이언트를 띄우고 후보 종목 리스트로 등록하면 됩니다. +(현재 `run()` 루프는 REST 조회 + DB `ws_candles` 기준으로 동작합니다.) + +## 의존성 + +- `pip install -r requirements.txt` (httpx 등 kiwoom_rest_api 의존성 포함) +- `kiwoom_rest_api` 패키지는 이 저장소의 `kiwoom_rest_api` 폴더를 상위/형제 경로에 두거나, `PYTHONPATH`에 추가해야 합니다. + +## 인증 + +`kiwoom_rest_api/.env` 또는 이 폴더의 `.env`에 다음을 설정합니다. + +- `KIWOOM_API_KEY` +- `KIWOOM_API_SECRET` +- `KIWOOM_USE_SANDBOX` (true/false) + +DB(MariaDB) 접속은 kis_bot과 동일하게 `DB_HOST`, `DB_USER`, `DB_PASS`, `DB_NAME` 등 환경변수를 사용합니다. diff --git a/kiwwom_trader/config.py b/kiwwom_trader/config.py new file mode 100644 index 0000000..78c16b1 --- /dev/null +++ b/kiwwom_trader/config.py @@ -0,0 +1,43 @@ +# kiwwom_trader/config.py +# 폴더를 /home/hoon 밑으로 옮겨도 경로 변경 없이 동작하도록 ROOT·경로 독립 처리 + +import os +import sys + +# 프로젝트 루트: 환경변수 우선, 없으면 이 파일 기준 상위 디렉터리 (kiwwom_trader) +_THIS_DIR = os.path.dirname(os.path.abspath(__file__)) +ROOT = os.environ.get("KIWOOM_TRADER_ROOT", _THIS_DIR) + +# kiwoom_rest_api 패키지 경로 후보 (폴더 이전 후에도 import 가능하도록) +def _ensure_paths(): + if ROOT not in sys.path: + sys.path.insert(0, ROOT) + # 부모 디렉터리: /home/hoon/kiwwom_trader → /home/hoon (kiwoom_rest_api, kis_bot 형제) + _parent = os.path.dirname(ROOT) + if _parent not in sys.path: + sys.path.insert(0, _parent) + # kis_bot (database, scalping_engine): 환경변수로 명시 가능 + _kis_bot = os.environ.get("KIS_BOT_PATH", os.path.join(_parent, "kis_bot")) + if os.path.isdir(_kis_bot) and _kis_bot not in sys.path: + sys.path.insert(0, _kis_bot) + +_ensure_paths() + +# .env 로드: kiwoom_rest_api/.env 또는 ROOT/.env +def load_dotenv(): + try: + from dotenv import load_dotenv as _load + for p in [ + os.path.join(ROOT, "kiwoom_rest_api", ".env"), + os.path.join(ROOT, ".env"), + os.path.join(os.path.dirname(ROOT), "kiwoom_rest_api", ".env"), + ]: + if os.path.isfile(p): + _load(p) + return p + except ImportError: + pass + return None + +LOG_DIR = os.environ.get("KIWOOM_TRADER_LOG_DIR", os.path.join(ROOT, "logs")) +os.makedirs(LOG_DIR, exist_ok=True) diff --git a/kiwwom_trader/requirements.txt b/kiwwom_trader/requirements.txt new file mode 100644 index 0000000..75b645a --- /dev/null +++ b/kiwwom_trader/requirements.txt @@ -0,0 +1,5 @@ +# kiwwom_trader 전용 (키움 REST API는 상위 또는 형제 경로 kiwoom_rest_api 사용) +python-dotenv>=1.0.0 +requests>=2.28.0 +websockets>=11.0 +httpx>=0.24.0 diff --git a/kiwwom_trader/run.py b/kiwwom_trader/run.py new file mode 100644 index 0000000..fe9d1b2 --- /dev/null +++ b/kiwwom_trader/run.py @@ -0,0 +1,23 @@ +#!/usr/bin/env python3 +# kiwwom_trader/run.py +# 진입점. 폴더를 /home/hoon 밑으로 옮겨도 KIWOOM_TRADER_ROOT / KIS_BOT_PATH 로 동작. + +import os +import sys + +# 이 파일이 있는 디렉터리를 먼저 path에 넣어 같은 폴더의 config 로드 +_run_dir = os.path.dirname(os.path.abspath(__file__)) +if _run_dir not in sys.path: + sys.path.insert(0, _run_dir) + +import config # noqa: F401 + +config.load_dotenv() + +def main(): + from scalping_bot import ScalpingBotKiwoom + bot = ScalpingBotKiwoom() + bot.run() + +if __name__ == "__main__": + main() diff --git a/kiwwom_trader/scalping_bot.py b/kiwwom_trader/scalping_bot.py new file mode 100644 index 0000000..fb9d06f --- /dev/null +++ b/kiwwom_trader/scalping_bot.py @@ -0,0 +1,261 @@ +# kiwwom_trader/scalping_bot.py +# 키움 REST API + 웹소켓 기반 스캘핑 봇. KIS kis_scalping_ver2와 동일한 로직·구조. +# 폴더를 /home/hoon 밑으로 옮겨도 config 경로 설정으로 동작. + +import logging +import os +import time +from datetime import datetime as dt +from typing import Dict, List, Optional + +# config는 run.py에서 먼저 import됨. 여기서는 ROOT만 참조 +import config + +logging.basicConfig( + format="[%(asctime)s] %(message)s", + datefmt="%H:%M:%S", + level=logging.INFO, +) +logger = logging.getLogger("KiwoomScalp") + +# ── 의존성: kiwoom_rest_api (ROOT/.. 에 있거나 sys.path에 추가된 상태) ── +try: + from kiwoom_rest_api.auth.token import TokenManager + from kiwoom_rest_api.koreanstock.stockinfo import StockInfo + from kiwoom_rest_api.koreanstock.chart import Chart + from kiwoom_rest_api.koreanstock.order import Order + from kiwoom_rest_api.koreanstock.rank_info import RankInfo + from kiwoom_rest_api.koreanstock.account import Account + from kiwoom_rest_api.koreanstock.market_condition import MarketCondition + _KIWOOM_AVAILABLE = True +except ImportError as e: + logger.warning("kiwoom_rest_api 미설치 또는 경로 미등록: %s", e) + _KIWOOM_AVAILABLE = False + +# ── kis_bot (database, scalping_engine 래핑 로직) ── +try: + from database import TradeDB + from scalping_logic import ( + load_defaults_from_db, + check_buy_signal as logic_check_buy_signal, + ) + _KIS_BOT_AVAILABLE = True +except ImportError as e: + logger.warning( + "kis_bot 경로 미등록(database, scalping_logic): %s → KIS_BOT_PATH 또는 동일 레포 내 실행 필요", + e, + ) + _KIS_BOT_AVAILABLE = False + + +def _get_env_from_db(db, key: str, default: str = ""): + if not db: + return os.environ.get(key, default) + env_data = db.get_latest_env() + if env_data and env_data.get("snapshot"): + return env_data["snapshot"].get(key, default) + return os.environ.get(key, default) + + +def _get_env_float(db, key: str, default: float): + v = _get_env_from_db(db, key, str(default)) + if isinstance(v, str) and "#" in v: + v = v.split("#")[0].strip() + try: + return float(v) if v else default + except (ValueError, TypeError): + return default + + +def _get_env_int(db, key: str, default: int): + v = _get_env_from_db(db, key, str(default)) + if isinstance(v, str) and "#" in v: + v = v.split("#")[0].strip() + try: + return int(v) if v else default + except (ValueError, TypeError): + return default + + +class ScalpingBotKiwoom: + """ + 키움 REST API로 주문·조회, 웹소켓으로 실시간 체결 수신 후 1분봉 집계. + 매수/매도 판단은 scalping_engine (kis_bot)과 동일. + """ + + def __init__(self): + if not _KIWOOM_AVAILABLE: + raise RuntimeError("kiwoom_rest_api를 사용할 수 없습니다. 경로 또는 설치를 확인하세요.") + if not _KIS_BOT_AVAILABLE: + raise RuntimeError("database, scalping_engine을 사용할 수 없습니다. KIS_BOT_PATH 또는 kis_bot 경로를 설정하세요.") + + self.db = TradeDB() + self.token_manager = TokenManager() + self.stock_info = StockInfo(token_manager=self.token_manager) + self.chart = Chart(token_manager=self.token_manager) + self.order = Order(token_manager=self.token_manager) + self.rank = RankInfo(token_manager=self.token_manager) + self.account = Account(token_manager=self.token_manager) + self.market = MarketCondition(token_manager=self.token_manager) + + self.candle_tf = 1 + self.rsi_oversold = _get_env_float(self.db, "SCALP_RSI_OVERSOLD", 25.0) + self.scalp_stop_loss_pct = _get_env_float(self.db, "SCALP_STOP_LOSS_PCT", 0.015) + self.scalp_take_profit_pct = _get_env_float(self.db, "SCALP_TAKE_PROFIT_PCT", 0.015) + self.scalp_min_drop_rate = _get_env_float(self.db, "SCALP_MIN_DROP_RATE", 0.015) + self.max_stocks = _get_env_int(self.db, "SCALP_MAX_POSITIONS", 3) + self._scan_engine_params = None + self._candle_agg = None + self._ws_client = None + self._ws_thread = None + + def start_websocket_candles(self, codes: List[str]) -> None: + """웹소켓 실시간 체결(0B) 구독 → 1분봉 집계. codes는 종목 코드 리스트 (최대 100개 권장).""" + from ws_candle_agg import KiwoomCandleAggregator, build_ws_client_with_candle_callback + token = self.token_manager.access_token + if not token: + logger.warning("웹소켓: 토큰 없음 → 스킵") + return + self._candle_agg = KiwoomCandleAggregator() + client = build_ws_client_with_candle_callback(token, self._candle_agg) + if client is None: + return + self._ws_client = client + import asyncio + async def run_ws(): + await client.start() + await client.register_realtime(type_list=["0B"], item_list=codes if codes else [""]) + await client.run_forever() + def thread_target(): + asyncio.run(run_ws()) + import threading + self._ws_thread = threading.Thread(target=thread_target, daemon=True) + self._ws_thread.start() + logger.info("웹소켓 캔들 구독 시작: %d종목", len(codes)) + + def _ensure_engine_params(self): + if self._scan_engine_params is None: + d = load_defaults_from_db() + self._scan_engine_params = { + **d, + "rsi_oversold": self.rsi_oversold, + "sl_pct": abs(self.scalp_stop_loss_pct), + "tp_pct": self.scalp_take_profit_pct, + "drop_rate": self.scalp_min_drop_rate, + } + + def _norm_candle(self, c: dict) -> dict: + """scalping_engine이 기대하는 키: candle_time, open, high, low, close, volume.""" + return { + "candle_time": c.get("candle_time", ""), + "open": float(c.get("open", 0)), + "high": float(c.get("high", 0)), + "low": float(c.get("low", 0)), + "close": float(c.get("close", 0)), + "volume": int(c.get("volume", 0)), + } + + def get_candles(self, code: str, n: int = 50) -> List[dict]: + """캔들 소스: 웹소켓 집계 → 없으면 DB ws_candles. scalping_engine 형식으로 반환.""" + if self._candle_agg: + candles = self._candle_agg.get_candles(code, self.candle_tf, n=n) + if candles: + return [self._norm_candle(c) for c in candles] + raw = self.db.get_ws_candles(code, self.candle_tf, limit=n, confirmed_only=True) + return [self._norm_candle(c) for c in raw] + + def _get_ws_codes_from_universe_history(self, max_codes: int = 100) -> List[str]: + """ + 오늘자 유니버스 히스토리(target_candidates_history)에서 + 슬롯 순서대로 종목 코드를 모아서 웹소켓 구독 리스트 생성. + - slot_key(YYYYMMDDHHMM) 오름차순으로 flatten + - 중복 제거, 최대 max_codes개까지 + - 히스토리가 비어 있으면 현재 target_candidates로 폴백 + """ + today_ymd = dt.now().strftime("%Y%m%d") + codes: List[str] = [] + seen = set() + try: + universe_by_slot = self.db.get_universe_history_for_backtest(today_ymd, today_ymd) + for slot_key in sorted(universe_by_slot.keys()): + for code in universe_by_slot[slot_key]: + if not code or code in seen: + continue + seen.add(code) + codes.append(code) + if len(codes) >= max_codes: + break + if len(codes) >= max_codes: + break + except Exception as e: + logger.warning("유니버스 히스토리 조회 실패 → 폴백 사용: %s", e) + + # 히스토리가 아직 없으면 현재 target_candidates 상위 N개로 폴백 + if not codes: + try: + current = self.db.get_target_candidates() + for c in current: + code = c.get("code") + if not code or code in seen: + continue + seen.add(code) + codes.append(code) + if len(codes) >= max_codes: + break + except Exception as e: + logger.warning("폴백 후보 조회 실패: %s", e) + + return codes + + def check_buy_signal(self, code: str, name: str) -> Optional[dict]: + """scalping_engine.check_buy_signal_live 사용 (KIS 봇과 동일).""" + self._ensure_engine_params() + candles = self.get_candles(code, n=50) + if len(candles) < 5: + return None + today = dt.now().strftime("%Y%m%d") + try: + today_trades = self.db.get_trades_by_date(today) + daily_cnt = len([t for t in today_trades if t.get("code") == code and str(t.get("strategy", "")).startswith("SCALP")]) + except Exception: + daily_cnt = 0 + state = {"last_exit_dt": None, "daily_cnt": daily_cnt} + reject_reason, reject_msg, sig = logic_check_buy_signal(candles, self._scan_engine_params, state) + if reject_reason or sig is None: + return None + return sig + + def run(self): + """메인 루프: 후보 조회 → 매수 신호 검사 → 주문 (구조만 연결, 실제 주문은 안전을 위해 로그만).""" + logger.info("키움 스캘핑 봇 시작 (ROOT=%s)", config.ROOT) + # 웹소켓 캔들: 후보가 있으면 0B 구독 (선택) + if _get_env_from_db(self.db, "KIWOOM_WS_CANDLES", "0").lower() in ("1", "true", "yes"): + try: + codes = self._get_ws_codes_from_universe_history(max_codes=100) + if codes: + self.start_websocket_candles(codes) + except Exception as e: + logger.warning("웹소켓 캔들 시작 스킵: %s", e) + while True: + try: + candidates = self.db.get_target_candidates() + if not candidates: + logger.info("후보 0건 → 대기") + time.sleep(60) + continue + for c in candidates[: self.max_stocks * 2]: + code = c.get("code") + name = c.get("name", code) + if not code: + continue + sig = self.check_buy_signal(code, name) + if sig: + logger.info("[매수신호] %s %s RSI=%.1f (실주문은 주석 해제 후 사용)", name, code, sig.get("rsi")) + # self._place_buy(code, name, sig) # 실제 주문 시 구현 + time.sleep(30) + except KeyboardInterrupt: + logger.info("종료") + break + except Exception as e: + logger.exception("루프 오류: %s", e) + time.sleep(60) diff --git a/kiwwom_trader/scalping_logic.py b/kiwwom_trader/scalping_logic.py new file mode 100644 index 0000000..294dc22 --- /dev/null +++ b/kiwwom_trader/scalping_logic.py @@ -0,0 +1,45 @@ +""" +kiwwom_trader/scalping_logic.py +키움 스캘핑 봇이 사용할 공통 매매 로직 래퍼. + +핵심 계산/판단은 모두 kis_bot/scalping_engine.py 를 그대로 호출해서 사용하고, +봇 쪽에서는 이 모듈만 임포트해서 매수/매도 시그널을 판단한다. +""" + +from typing import Any, Dict, List, Optional, Tuple + +import scalping_engine as _se + + +def load_defaults_from_db() -> Dict[str, Any]: + """ + env_config 최신 행에서 스캘핑 관련 기본값 로드. + kis_bot/scalping_engine.get_scalping_defaults_from_db 를 그대로 래핑. + """ + return _se.get_scalping_defaults_from_db() + + +def check_buy_signal( + candles: List[Dict[str, Any]], + params: Dict[str, Any], + state: Dict[str, Any], +) -> Tuple[Optional[str], Optional[str], Optional[Dict[str, Any]]]: + """ + 실시간 매수 시그널 판단. + kis_bot/scalping_engine.check_buy_signal_live 를 그대로 사용. + """ + return _se.check_buy_signal_live(candles, params, state) + + +def check_sell_signal( + position: Dict[str, Any], + current_candle: Dict[str, Any], + params: Dict[str, Any], + is_eod: bool = False, +) -> Optional[Tuple[str, float]]: + """ + 실시간 매도 시그널 판단. + kis_bot/scalping_engine.check_sell_signal_live 를 그대로 사용. + """ + return _se.check_sell_signal_live(position, current_candle, params, is_eod) + diff --git a/kiwwom_trader/ws_candle_agg.py b/kiwwom_trader/ws_candle_agg.py new file mode 100644 index 0000000..ea75bdd --- /dev/null +++ b/kiwwom_trader/ws_candle_agg.py @@ -0,0 +1,122 @@ +# kiwwom_trader/ws_candle_agg.py +# 키움 웹소켓 실시간 체결(0B) 수신 → 1분봉 집계 → DB 또는 메모리 버퍼 + +import asyncio +import logging +from collections import defaultdict +from datetime import datetime +from typing import Callable, Dict, List, Optional + +logger = logging.getLogger(__name__) + + +def _slot_1m(now: datetime) -> str: + """현재 시각 기준 1분 봉 키 (YYYYMMDDHHMI).""" + return now.strftime("%Y%m%d%H%M") + + +class KiwoomCandleAggregator: + """ + 키움 실시간 타입 0B(주식체결) 수신 시 호출되는 콜백에서 + 종목별·1분봉별 OHLCV를 집계. 확정된 봉은 on_candle 콜백 또는 DB에 전달. + """ + def __init__( + self, + on_candle: Optional[Callable[[str, int, str, dict], None]] = None, + timeframe_min: int = 1, + ): + """ + Args: + on_candle: (code, timeframe_min, candle_time, candle_dict) 호출. DB 저장 시 사용. + timeframe_min: 봉 간격(분). 1 = 1분봉. + """ + self.on_candle = on_candle + self.timeframe_min = timeframe_min + # code -> slot_1m -> { open, high, low, close, volume } + self._buf: Dict[str, Dict[str, dict]] = defaultdict(dict) + self._lock = asyncio.Lock() + + def push_tick(self, code: str, price: float, volume: int, tick_time: Optional[datetime] = None): + """ + 체결 1건 누적. 스레드 세이프하지 않음; 이벤트 루프 한 스레드에서 호출 권장. + """ + t = tick_time or datetime.now() + slot = _slot_1m(t) + if slot not in self._buf[code]: + self._buf[code][slot] = { + "open": price, + "high": price, + "low": price, + "close": price, + "volume": volume, + } + else: + c = self._buf[code][slot] + c["high"] = max(c["high"], price) + c["low"] = min(c["low"], price) + c["close"] = price + c["volume"] = c.get("volume", 0) + volume + + def flush_slot(self, code: str, slot: str) -> Optional[dict]: + """해당 종목·슬롯 봉을 확정해 반환하고 버퍼에서 제거.""" + if code not in self._buf or slot not in self._buf[code]: + return None + c = self._buf[code].pop(slot) + if not self._buf[code]: + del self._buf[code] + return c + + def get_candles(self, code: str, timeframe_min: int, n: int = 50) -> List[dict]: + """ + 메모리 버퍼만 사용하는 경우: 현재 버퍼에 쌓인 봉 반환. 없으면 빈 리스트. + DB와 연동 시에는 이 메서드에서 DB를 조회하도록 확장. + """ + if code not in self._buf: + return [] + slots = sorted(self._buf[code].keys()) + out = [] + for slot in slots[-n:]: + c = self._buf[code][slot].copy() + c["candle_time"] = slot + c["volume"] = c.get("volume", 0) + out.append(c) + return out + + +def build_ws_client_with_candle_callback( + access_token: str, + aggregator: KiwoomCandleAggregator, + ws_url: Optional[str] = None, +): + """ + 키움 WebSocketClient에 실시간 0B 수신 시 aggregator.push_tick 호출하도록 연결. + kiwoom_rest_api.websocket / websocket_helper 사용. + """ + try: + from kiwoom_rest_api.websocket import WebSocketClient, RealTimeData + from kiwoom_rest_api.websocket_constants import STOCK_TRADE_FIELDS, get_field_name + except ImportError: + logger.warning("kiwoom_rest_api 미설치 또는 경로 미등록 → 웹소켓 캔들 비활성") + return None + + client = WebSocketClient(access_token=access_token, ws_url=ws_url) + + async def on_data(realtime_data: RealTimeData): + if realtime_data.trnm != "REAL": + return + for item in realtime_data.data or []: + type_code = item.get("type", "") + if type_code != "0B": + continue + item_code = (item.get("item") or [""])[0] if isinstance(item.get("item"), list) else item.get("item", "") + if not item_code: + continue + values = item.get("values") or {} + # 10:현재가, 15:거래량 등 (STOCK_TRADE_FIELDS) + price = float(values.get("10", 0) or 0) + vol = int(values.get("15", 0) or 0) + if price > 0: + aggregator.push_tick(item_code, price, vol) + + client.on_data = on_data + return client diff --git a/ml_model.pkl b/ml_model.pkl index fbbf3925d35cbe143a0043d0e0838aed993cc5ea..164fc4682a2c217e6edd169081fa4f0ed8cb91ef 100644 GIT binary patch literal 963546 zcmdqK2Y6LQ6EJ)zN)-aqK?n)GhThqwmrw#IU6K$2H`EXUNYhXS2^b|<5H(=KhLI*B 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Callable, Dict, Optional, Tuple import requests # ------------------------------------------------------------------ -# 내부 모듈 (kis_long_ver1 공용 함수·DB 재사용) +# 내부 모듈 — 무거운 봇(kis_long_ver1/2) 의존 제거. +# - env 헬퍼는 kis_trader.utils.env 의 통합본을 사용 (TradeDB 싱글톤 lazy 발급) +# - LongWatchBotV2 는 !종목분석 핸들러 내부에서 lazy import (mm_butler 기동 시 +# 불필요한 KIS 토큰 발급·Gemini configure 부수효과 방지) # ------------------------------------------------------------------ from database import TradeDB, ENV_CONFIG_KEYS -from kis_long_ver1 import ( +from kis_trader.utils.env import ( + get_env_bool, + get_env_float, get_env_from_db, get_env_int, - get_env_float, - get_env_bool, - MM_SERVER_URL, - MM_BOT_TOKEN, - MM_CONFIG_FILE, - SCRIPT_DIR, - db as shared_db, + set_db as _set_env_db, ) -from kis_long_ver2 import LongWatchBotV2 from news_analyzer import NewsAnalyzer +# Mattermost 설정 (구 kis_long_ver1 module-level 코드 동등 — 단독 정의) +SCRIPT_DIR = Path(__file__).resolve().parent +MM_CONFIG_FILE = SCRIPT_DIR / "mm_config.json" +MM_SERVER_URL = (get_env_from_db("MM_SERVER_URL", "https://mattermost.hoonfam.org") or "").strip() +MM_BOT_TOKEN = (get_env_from_db("MM_BOT_TOKEN_", "") or "").strip() + +# 공용 DB 싱글톤 — env 헬퍼와 같은 인스턴스를 공유 (DB 연결 1개로 절약) +shared_db = TradeDB() +_set_env_db(shared_db) + # ------------------------------------------------------------------ # Claude 초기화 (클로드분석용) # ------------------------------------------------------------------ @@ -178,22 +186,40 @@ def _save_ai_recommendations(db: TradeDB, analysis_text: str) -> None: def _read_bot_source() -> str: """ - kis_short_ver2.py 소스 전체를 읽어 반환. - AI가 매매 로직을 이해하고 정확한 변수명·수치로 추천하기 위해 프롬프트에 첨부. - AI_SOURCE_MAX_CHARS(env/DB) 로 최대 길이 제한 (기본 120,000자 ≈ Claude 30k 토큰). + 분석 대상 봇 소스를 읽어 반환. AI가 매매 로직을 이해하고 정확한 변수명· + 수치로 추천하기 위해 프롬프트에 첨부. + + 환경변수 ``AI_SOURCE_FILES`` (콤마 구분 상대경로) 로 여러 파일 합쳐 분석 가능. + 기본값은 새 메인 봇 ``kis_trader/strategies/base.py`` (전략 공통 뼈대). + AI_SOURCE_MAX_CHARS(env/DB) 로 합본 최대 길이 제한 (기본 120,000자). """ - src_path = SCRIPT_DIR / "kis_short_ver2.py" - if not src_path.exists(): - return "(kis_short_ver2.py 파일 없음)" - try: - max_chars = get_env_int("AI_SOURCE_MAX_CHARS", 120000) - content = src_path.read_text(encoding="utf-8") - if len(content) > max_chars: - content = content[:max_chars] + f"\n\n...(이하 {len(content) - max_chars:,}자 생략)..." - return content - except Exception as e: - logger.warning("kis_short_ver2.py 읽기 실패: %s", e) - return f"(소스 읽기 실패: {e})" + raw = get_env_from_db("AI_SOURCE_FILES", "kis_trader/strategies/base.py") + files = [f.strip() for f in (raw or "").split(",") if f.strip()] + if not files: + files = ["kis_trader/strategies/base.py"] + + max_chars = get_env_int("AI_SOURCE_MAX_CHARS", 120000) + parts: list[str] = [] + total_len = 0 + for rel in files: + p = SCRIPT_DIR / rel + if not p.exists(): + parts.append(f"# === {rel} (파일 없음) ===") + continue + try: + txt = p.read_text(encoding="utf-8") + except Exception as e: + logger.warning("%s 읽기 실패: %s", rel, e) + parts.append(f"# === {rel} (읽기 실패: {e}) ===") + continue + header = f"# === {rel} ({len(txt):,}자) ===" + parts.append(header + "\n" + txt) + total_len += len(txt) + + merged = "\n\n".join(parts) + if len(merged) > max_chars: + merged = merged[:max_chars] + f"\n\n...(이하 {len(merged) - max_chars:,}자 생략)..." + return merged def _build_analyze_context(db: TradeDB) -> Dict: @@ -677,8 +703,12 @@ def handler_watchlist_analyze(args: str, db: TradeDB, hub: "CommandHub") -> str: !종목분석 — kis_long_ver2 장기 투자 체크 리포트를 즉시 1회 실행. - 장 시작/마감에 자동으로 나가는 리포트와 동일한 형식을, 사용자가 원할 때 수동으로 호출. - 실제 리포트 전송은 kis_long_ver2.LongWatchBotV2 의 Mattermost 설정(MM_CHANNEL_LONG 등)을 그대로 사용. + + ※ ``LongWatchBotV2`` 는 KIS 토큰 발급을 트리거하므로 mm_butler 기동 시점에는 + import 하지 않고 이 핸들러 호출 시점에만 lazy import. """ try: + from kis_long_ver2 import LongWatchBotV2 bot = LongWatchBotV2() # 장 시작/마감과 동일 포맷, 레이블만 '수동'으로 구분 bot.send_long_check_report("수동 요청") @@ -765,6 +795,122 @@ def handler_apply(args: str, db: TradeDB, hub: "CommandHub") -> str: return "\n".join(lines) +# ================================================================== +# 봇 제어 핸들러 (systemctl + journalctl) — 화이트리스트 방식 +# ================================================================== + +# ⚠️ 보안: 명령어 인자 일체 받지 않음 → command injection 차단. +# sudoers 에 NOPASSWD 등록된 명령만 실행. 자기 자신 (mm_butler.service) 은 제어 불가. +_BOT_TARGET_SERVICE = "kis_trader_main.service" +_BOT_LOG_DEFAULT_LINES = 100 +_BOT_LOG_MAX_LINES = 500 +_BOT_LOG_MM_MAX_CHARS = 3500 # Mattermost 메시지 한계 4000자 안전 마진 + + +def _run_systemctl(verb: str, *, use_sudo: bool = True) -> Tuple[int, str]: + """systemctl kis_trader_main.service 실행. (returncode, stdout+stderr).""" + cmd = [] + if use_sudo: + cmd.append("sudo") + cmd.extend(["/bin/systemctl", verb, _BOT_TARGET_SERVICE]) + try: + r = subprocess.run(cmd, capture_output=True, text=True, timeout=15) + out = (r.stdout or "") + (r.stderr or "") + return r.returncode, out.strip() + except subprocess.TimeoutExpired: + return 124, "❌ 명령 시간 초과 (15초)" + except FileNotFoundError as e: + return 127, f"❌ 명령 실행 불가: {e}" + except Exception as e: + return 1, f"❌ 예외: {e}" + + +def handler_bot_restart(args: str, db: TradeDB, hub: "CommandHub") -> str: + """!봇재시작 — kis_trader_main.service 재시작.""" + rc, out = _run_systemctl("restart") + rc2, status = _run_systemctl("is-active", use_sudo=False) + icon = "✅" if rc == 0 and status == "active" else "❌" + return ( + f"{icon} **kis_trader_main 재시작 결과** (exit={rc})\n" + f"- 현재 상태: `{status or '?'}`\n" + f"- 출력:\n```\n{out or '(없음)'}\n```\n" + "_몇 초 안에 첫 heartbeat 로그가 찍히면 정상입니다 → `!봇로그`_" + ) + + +def handler_bot_stop(args: str, db: TradeDB, hub: "CommandHub") -> str: + """!봇중지 — kis_trader_main.service 중지.""" + rc, out = _run_systemctl("stop") + rc2, status = _run_systemctl("is-active", use_sudo=False) + icon = "✅" if rc == 0 and status != "active" else "⚠️" + return ( + f"{icon} **kis_trader_main 중지 결과** (exit={rc})\n" + f"- 현재 상태: `{status or '?'}`\n" + f"- 출력:\n```\n{out or '(없음)'}\n```\n" + "_재시작하려면 `!봇시작` 또는 `!봇재시작`_" + ) + + +def handler_bot_start(args: str, db: TradeDB, hub: "CommandHub") -> str: + """!봇시작 — kis_trader_main.service 시작.""" + rc, out = _run_systemctl("start") + rc2, status = _run_systemctl("is-active", use_sudo=False) + icon = "✅" if rc == 0 and status == "active" else "❌" + return ( + f"{icon} **kis_trader_main 시작 결과** (exit={rc})\n" + f"- 현재 상태: `{status or '?'}`\n" + f"- 출력:\n```\n{out or '(없음)'}\n```" + ) + + +def handler_bot_status(args: str, db: TradeDB, hub: "CommandHub") -> str: + """!봇상태 — is-active + status 요약.""" + rc, status = _run_systemctl("is-active", use_sudo=False) + rc2, full = _run_systemctl("status", use_sudo=False) + # status 출력은 길어서 앞 25줄만 + head = "\n".join((full or "").splitlines()[:25]) + icon = "🟢" if status == "active" else "🔴" + return ( + f"{icon} **kis_trader_main 상태**: `{status or '?'}`\n\n" + f"```\n{head or '(상태 출력 없음)'}\n```" + ) + + +def handler_bot_log(args: str, db: TradeDB, hub: "CommandHub") -> str: + """!봇로그 [N] — kis_trader_main.service 의 최근 N줄 (기본 100, 최대 500).""" + arg = (args or "").strip() + try: + n = int(arg) if arg else _BOT_LOG_DEFAULT_LINES + except ValueError: + return f"❌ 사용법: `!봇로그 [N]` (N=숫자, 기본 {_BOT_LOG_DEFAULT_LINES}, 최대 {_BOT_LOG_MAX_LINES})" + n = max(1, min(_BOT_LOG_MAX_LINES, n)) + + cmd = ["sudo", "/bin/journalctl", "-u", _BOT_TARGET_SERVICE, + "-n", str(n), "-o", "short-iso", "--no-pager"] + try: + r = subprocess.run(cmd, capture_output=True, text=True, timeout=15) + log = (r.stdout or "").strip() + if r.returncode != 0: + log = f"(exit={r.returncode}) {(r.stderr or '').strip()}\n{log}" + except Exception as e: + return f"❌ journalctl 실행 실패: {e}" + + if not log: + return "📜 로그가 비어있습니다." + + # Mattermost 메시지 한계: 뒤쪽(최신) 우선 보존 + if len(log) > _BOT_LOG_MM_MAX_CHARS: + cut = log[-_BOT_LOG_MM_MAX_CHARS:] + # 첫 줄이 잘렸을 수 있으므로 줄바꿈 위치까지 잘라냄 + nl = cut.find("\n") + if nl != -1: + cut = cut[nl + 1:] + log = f"...(앞 {len(log) - len(cut):,}자 생략)...\n{cut}" + + return f"📜 **kis_trader_main 최근 {n}줄**\n```\n{log}\n```" + + +# ================================================================== def handler_set(args: str, db: TradeDB, hub: "CommandHub") -> str: """!설정 KEY=값 또는 !설정 KEY 값 — 단일 설정값 DB 반영.""" rest = args.strip() @@ -885,6 +1031,12 @@ class CommandHub: self.register_command("적용", handler_apply, "마지막 AI 추천 수치 전체 DB 반영") self.register_command("설정", handler_set, "단일 설정값 DB 반영 (예: !설정 MAX_STOCKS=4)") self.register_command("분석기록", handler_analysis_log, "저장된 AI 분석 기록 목록/상세 (나중에 꺼내보기)") + # ── 봇 제어 (kis_trader_main.service) ──────────────────────────── + self.register_command("봇재시작", handler_bot_restart, "메인 봇 재시작 (kis_trader_main.service)") + self.register_command("봇중지", handler_bot_stop, "메인 봇 중지") + self.register_command("봇시작", handler_bot_start, "메인 봇 시작") + self.register_command("봇상태", handler_bot_status, "메인 봇 상태 + status 출력 25줄") + self.register_command("봇로그", handler_bot_log, "메인 봇 최근 로그 (예: !봇로그 200, 최대 500)") def register_command(self, cmd: str, handler: Callable, description: str = "") -> None: """외부에서 동적으로 명령어 추가 가능.""" diff --git a/scalping_engine.py b/scalping_engine.py index 95dfe42..b47083d 100644 --- a/scalping_engine.py +++ b/scalping_engine.py @@ -2,17 +2,13 @@ """ scalping_engine.py — 스캘핑 백테스트·파라미터서치·실매매 공통 엔진 ==================================================================== -계산식만 같으면 백테스트와 실매매 결과가 같아지도록, 공통 로직만 이 모듈에 두고 +계산식만 같으면 백테스트와 실매매 결과가 같아지도록, 모든 로직을 이 모듈로 통합했습니다. backtest_web / param_search / kis_scalping_ver2 가 모두 이 엔진만 호출합니다. -■ 엔진에 들어간 공통 로직 (백테스트·파라미터서치·실매매 동일) - - 매수: 시간대(time_start_hm~time_end_hm), 쿨다운(cooldown_min), 일일 진입 횟수(max_daily), - RSI(3) 과매도(rsi_oversold), 이전봉 음봉+현재봉 양봉, 당일 낙폭(drop_rate), 거래량 배수(vol_mult). - - 매도: 손절가(sl_pct), 익절가(tp_pct), 트레일링스탑(trail_trigger/trail_stop), 장마감청산(is_eod). - -■ 엔진 밖(실매매 전용) 로직 — 백테스트에는 없음 - - 매수 추가 필터: 고점추격 방지(high_chase_thr), 급등주(max_daily_chg), 시장/테마 필터, ML, min_price 등. - - 매도 추가: 본절사수(breakeven), 금액손실컷(MAX_LOSS_PER_TRADE_KRW). (백테스트는 % 손절/익절/트레일만 사용) +■ 엔진에 통합된 공통 로직 (백테스트·파라미터서치·실매매 100% 동일) + - 매수: 시간대, 쿨다운, 일일 진입 횟수, RSI 과매도/과매수, 되돌림(음봉->양봉), 낙폭, 거래량. + - 매수 방어: 고점추격 방지(high_chase_thr), 급등주(max_daily_chg), 최소 가격(min_price). + - 매도: 손절가(sl_pct), 익절가(tp_pct), 금액손실컷(max_loss_krw), 본절사수(breakeven), 트레일링스탑, 장마감청산. 캔들 형식: list of dict with keys candle_time(YYYYMMDDHHMI), open, high, low, close, volume """ @@ -20,13 +16,24 @@ backtest_web / param_search / kis_scalping_ver2 가 모두 이 엔진만 호출 from datetime import datetime from typing import List, Dict, Any, Optional, Tuple +# 문자열/숫자/불리언 입력을 안전하게 bool로 변환 +def _to_bool(v: Any, default: bool = True) -> bool: + if v is None: + return default + if isinstance(v, bool): + return v + s = str(v).strip().lower() + if s in ("1", "true", "t", "y", "yes", "on"): + return True + if s in ("0", "false", "f", "n", "no", "off", ""): + return False + return default + # DB 기본값 로드 (백테스트/param_search가 동일한 값 사용하도록 단일 소스) def get_scalping_defaults_from_db() -> Dict[str, Any]: """ env_config 최신 행에서 스캘핑 관련 기본값 로드. 백테스트 API·param_search가 이 함수만 쓰면 실매매(DB)와 동일한 값으로 동작. - 반환 키: cooldown_min, time_start_hm, time_end_hm, fee_rate, sell_tax, - slot_money, rsi_period, vol_mult, trail_trigger, trail_stop, max_daily """ try: from database import TradeDB @@ -41,10 +48,34 @@ def get_scalping_defaults_from_db() -> Dict[str, Any]: fee_pct = float(r.get("FEE_RATE_PCT") or 0.015) tax_pct = float(r.get("SELL_TAX_RATE_PCT") or 0.18) slot = float(r.get("SLOT_MONEY_DEFAULT") or 300_000) + + # ──────── 방어 로직 파라미터 (스캘핑 전용 키 우선, 없으면 꼬리잡기 공용 키 fallback) ──────── + high_chase_thr = float(r.get("SCALP_HIGH_PRICE_CHASE_THRESHOLD") or r.get("HIGH_PRICE_CHASE_THRESHOLD") or 0.96) + max_daily_chg = float(r.get("SCALP_MAX_DAILY_CHANGE_PCT") or r.get("MAX_DAILY_CHANGE_PCT") or 20.0) + min_price = float(r.get("SCALP_MIN_PRICE") or r.get("MIN_PRICE_TAIL") or 1000.0) + max_loss_krw = int(r.get("SCALP_MAX_LOSS_PER_TRADE_KRW") or r.get("MAX_LOSS_PER_TRADE_KRW") or 200000) + _min_drop_loss = r.get("SCALP_MIN_DROP_PCT_FOR_LOSS_CUT") + min_drop_pct_for_loss_cut = 0.015 + if _min_drop_loss not in (None, ""): + v = float(_min_drop_loss) + min_drop_pct_for_loss_cut = v / 100.0 if v >= 1 else v + min_margin = float(r.get("SCALP_MIN_PROFIT_PCT") or 0.2) + rsi_overbought = float(r.get("SCALP_RSI_OVERBOUGHT") or 75.0) + use_defense_filters = _to_bool(r.get("SCALP_USE_DEFENSE_FILTERS"), True) else: cooldown_min, fee_pct, tax_pct, slot = 10, 0.015, 0.18, 300_000.0 + high_chase_thr, max_daily_chg, min_price = 0.96, 20.0, 1000.0 + max_loss_krw, min_margin, rsi_overbought = 200000, 0.2, 75.0 + min_drop_pct_for_loss_cut = 0.015 + use_defense_filters = True + except Exception: cooldown_min, fee_pct, tax_pct, slot = 10, 0.015, 0.18, 300_000.0 + high_chase_thr, max_daily_chg, min_price = 0.96, 20.0, 1000.0 + max_loss_krw, min_margin, rsi_overbought = 200000, 0.2, 75.0 + min_drop_pct_for_loss_cut = 0.015 + use_defense_filters = True + return { "cooldown_min": cooldown_min, "time_start_hm": 900, @@ -54,11 +85,19 @@ def get_scalping_defaults_from_db() -> Dict[str, Any]: "fee_rate": fee_pct / 100, "sell_tax": tax_pct / 100, "slot_money": slot, - "rsi_period": 3, + "rsi_period": 3, "vol_mult": 0, "trail_trigger": 0.007, "trail_stop": 0.004, "max_daily": 3, + "high_chase_thr": high_chase_thr, + "max_daily_chg": max_daily_chg, + "min_price": min_price, + "max_loss_krw": max_loss_krw, + "min_drop_pct_for_loss_cut": min_drop_pct_for_loss_cut, + "min_margin": min_margin / 100, + "rsi_overbought": rsi_overbought, + "use_defense_filters": use_defense_filters, } @@ -88,24 +127,122 @@ def _t2dt(t: str) -> datetime: return datetime.strptime(t, "%Y%m%d%H%M") +def _slot_key(candle_time: str, scan_interval_min: int = 1) -> str: + """ + 봉 시각을 N분 단위 슬롯 키로 변환. + + 신봇 기준: + * 실매매는 10초 주기 REST 폴링 + 변동 tick 마다 초단위 event_time 저장. + * 백테스트 caller(``param_search``/``tail_param_search``)가 + ``TradeDBExt.get_universe_by_candle_time()`` 으로 **1분 캔들 시각 키** + (YYYYMMDDHHMM) 를 가진 dict 를 만들어 엔진에 주입한다. + * 엔진은 그 dict 를 분단위(scan_interval_min=1) 키로 바로 조회. + + 과거 호환: + * ``--fallback-universe`` 시뮬레이션 경로는 여전히 5분 버킷팅을 쓸 수 + 있도록 ``scan_interval_min`` 파라미터는 남겨 둔다. + """ + date = candle_time[:8] + hm = int(candle_time[8:12]) + total_min = (hm // 100) * 60 + (hm % 100) + slot_min = (total_min // scan_interval_min) * scan_interval_min + slot_hm = (slot_min // 60) * 100 + (slot_min % 60) + return date + str(slot_hm).zfill(4) + + +def build_universe_simulation( + codes_candles: Dict[str, List[Dict]], + top_n: int = 20, + min_score: float = 4.0, + scan_interval_min: int = 5, +) -> Dict[str, List[str]]: + """ + 과거 1분봉만으로 '5분마다 강도 순 상위 N종목' 유니버스를 흉내 냄. + kiwoom_universe_scanner의 개미털기 점수(drop_rate·회복률)를 1분봉 기준으로 근사. + 실매매의 target_candidates 5분 갱신과 동일한 타이밍으로 백테스트 제한용. + + Returns: + slot_key(YYYYMMDDHHMM) → 해당 슬롯에 매수 검사 허용할 종목 코드 리스트 + """ + slot_codes_scores: Dict[str, List[Tuple[str, float, float]]] = {} # slot -> [(code, score, vol)] + + for code, rows in codes_candles.items(): + if len(rows) < 2: + continue + candles = [dict(r) for r in rows] + # 날짜별로 묶어서 당일 시가/고/저/종가 누적 + by_day: Dict[str, List[Dict]] = {} + for c in candles: + day = c["candle_time"][:8] + if day not in by_day: + by_day[day] = [] + by_day[day].append(c) + + for day, day_candles in by_day.items(): + day_candles.sort(key=lambda x: x["candle_time"]) + day_open = float(day_candles[0]["open"]) + running_high = max(float(c["high"]) for c in day_candles) + running_low = min(float(c["low"]) for c in day_candles) + vol_sum = sum(float(c.get("volume", 0)) for c in day_candles) + + # 5분 단위 슬롯: 해당 슬롯 시작 시점까지의 데이터로 점수 계산 (슬롯 시작 직전 봉까지) + market_open_min = 9 * 60 # 09:00 = 540분 + seen_slots = set() + for j, c in enumerate(day_candles): + ct = c["candle_time"] + hm = int(ct[8:12]) + total_min = (hm // 100) * 60 + (hm % 100) + slot_min = (total_min // scan_interval_min) * scan_interval_min + slot_hm = (slot_min // 60) * 100 + (slot_min % 60) + slot_key = day + str(slot_hm).zfill(4) + if slot_key in seen_slots: + continue + seen_slots.add(slot_key) + # as_of: 이 슬롯에 쓰일 마지막 봉 (슬롯 시작 직전 봉, 장시작 09:00 이상) + slot_min_val = (slot_hm // 100) * 60 + (slot_hm % 100) + as_of_min = max(market_open_min, slot_min_val - 1) + as_of_hm = (as_of_min // 60) * 100 + (as_of_min % 60) + as_of_str = day + str(as_of_hm).zfill(4) + up_to = [x for x in day_candles if x["candle_time"] <= as_of_str] + if not up_to: + continue + o = float(up_to[0]["open"]) + hi = max(float(x["high"]) for x in up_to) + lo = min(float(x["low"]) for x in up_to) + cl = float(up_to[-1]["close"]) + drop_rate = (o - lo) / o if o > 0 else 0 + rng = hi - lo + recovery_pos = (cl - lo) / rng if rng > 0 else 0 + score = (drop_rate * 100) if (drop_rate >= 0.03 and recovery_pos >= 0.5) else 0.0 + vol_part = sum(float(x.get("volume", 0)) for x in up_to) + + if slot_key not in slot_codes_scores: + slot_codes_scores[slot_key] = [] + slot_codes_scores[slot_key].append((code, score, vol_part)) + + # 슬롯별 상위 top_n, min_score 이상만 + universe_by_slot: Dict[str, List[str]] = {} + for slot_key, lst in slot_codes_scores.items(): + lst = [(c, s, v) for c, s, v in lst if s >= min_score] + lst.sort(key=lambda x: (-x[1], -x[2])) + universe_by_slot[slot_key] = [x[0] for x in lst[:top_n]] + return universe_by_slot + + def run_scalping_backtest( codes_candles: Dict[str, List[Dict]], params: Dict[str, Any], + universe_by_slot: Optional[Dict[str, List[str]]] = None, ) -> List[Dict]: """ - 종목별 캔들에 대해 스캘핑 백테스트 실행. 실매매와 동일한 규칙 적용. + 종목별 캔들에 대해 스캘핑 백테스트 실행. 실매매와 동일한 규칙(방어로직 포함) 적용. - params: - rsi_period, rsi_oversold, sl_pct, tp_pct, drop_rate, - slot_money, fee_rate, sell_tax, - cooldown_min, trail_trigger, trail_stop, - time_start_hm, time_end_hm, max_daily, vol_mult - sl_pct/tp_pct/drop_rate/trail_trigger/trail_stop: 비율 (0.015 = 1.5%) - fee_rate, sell_tax: 비율 (0.00015, 0.0018) - time_start_hm, time_end_hm: HHMM 정수 (900, 1530) + universe_by_slot이 주어지면, 5분마다 해당 슬롯의 후보 종목에서만 매수 신호를 검사 + (실매매의 target_candidates 5분 갱신과 동일한 유니버스 시뮬레이션). """ rsi_period = int(params.get("rsi_period", 3)) rsi_oversold = float(params.get("rsi_oversold", 25)) + rsi_overbought = float(params.get("rsi_overbought", 75.0)) sl_pct = float(params.get("sl_pct", 0.015)) tp_pct = float(params.get("tp_pct", 0.015)) drop_rate = float(params.get("drop_rate", 0.015)) @@ -119,6 +256,14 @@ def run_scalping_backtest( time_end_hm = int(params.get("time_end_hm", 1530)) max_daily = int(params.get("max_daily", 3)) vol_mult = float(params.get("vol_mult", 0)) + + # 방어 로직 파라미터 + high_chase_thr = float(params.get("high_chase_thr", 0.96)) + max_daily_chg = float(params.get("max_daily_chg", 20.0)) + min_price = float(params.get("min_price", 1000.0)) + max_loss_krw = float(params.get("max_loss_krw", 200000.0)) + min_margin = float(params.get("min_margin", 0.002)) + use_defense_filters = _to_bool(params.get("use_defense_filters", True), True) all_trades: List[Dict] = [] @@ -135,6 +280,7 @@ def run_scalping_backtest( daily_cnt: Dict[str, int] = {} cur_day = None running_open = 0.0 + running_high = 0.0 running_low = 0.0 for i in range(rsi_period + 1, len(candles)): @@ -146,37 +292,23 @@ def run_scalping_backtest( hi = float(c["high"]) vol = volumes[i] if i < len(volumes) else 0 + # 당일 고가/저가 누적 (피뢰침 방지용) if day != cur_day: cur_day = day running_open = float(c["open"]) + running_high = hi running_low = lo else: + running_high = max(running_high, hi) running_low = min(running_low, lo) is_eod = (i == len(candles) - 1) or (candles[i + 1]["candle_time"][:8] != day) # ── 포지션 보유 중: 청산 체크 ── if position is not None: - max_price = max(position["max_price"], hi) - position["max_price"] = max_price - reason = None - exit_price = cl - - if lo <= position["stop"]: - reason = "손절" - exit_price = position["stop"] - elif hi >= position["target"]: - reason = "익절" - exit_price = position["target"] - elif trail_trigger > 0 and max_price >= position["entry_price"] * (1 + trail_trigger): - ts = max_price * (1 - trail_stop) - if cl <= ts: - reason = "트레일링스탑" - exit_price = cl - if reason is None and is_eod: - reason = "장마감청산" - exit_price = cl - + # check_sell_signal_live 재사용하여 로직 100% 일치 + reason, exit_price = check_sell_signal_live(position, c, params, is_eod) or (None, cl) + if reason: qty = position["qty"] buy_amt = position["entry_price"] * qty @@ -210,7 +342,13 @@ def run_scalping_backtest( position = None continue - # ── 포지션 없음: 매수 신호 ── + # ── 포지션 없음: 매수 신호 (유니버스 시뮬레이션 시 해당 슬롯 후보만 검사) ── + if universe_by_slot is not None: + # 신봇 기본: 1분봉 == 슬롯 키. simulation fallback 은 caller 가 + # ``scan_interval_min`` 을 params 에 명시해 5분 슬롯으로 바꿀 수 있음. + slot_key = _slot_key(c["candle_time"], params.get("scan_interval_min", 1)) + if code not in universe_by_slot.get(slot_key, []): + continue if hm < time_start_hm or hm >= time_end_hm: continue if day in last_exit_dt: @@ -223,22 +361,36 @@ def run_scalping_backtest( rsi = rsis[i] if rsi is None or rsi > rsi_oversold: continue + prev_c = candles[i - 1] prev_bear = float(prev_c["close"]) < float(prev_c["open"]) curr_bull = cl > float(c["open"]) if not (prev_bear and curr_bull): continue + if running_open <= 0: continue - dr = (running_open - running_low) / running_open - if dr < drop_rate: - continue + + # 진입 방어 ON/OFF: 스캘핑에서 진입 빈도가 너무 낮을 때 필터를 일괄 비활성화 가능 + # (손절/익절/장마감청산 등 청산 리스크 관리는 그대로 유지) + if use_defense_filters: + if cl < min_price: + continue + dr = (running_open - running_low) / running_open + if dr < drop_rate: + continue + if cl >= running_high * high_chase_thr: + continue + if running_low > 0 and ((running_high - running_low) / running_low * 100) > max_daily_chg: + continue + if vol_mult > 0: win = max(1, min(20, i)) vol_avg = sum(volumes[i - win : i]) / win if vol_avg > 0 and vol < vol_avg * vol_mult: continue + # 다음 봉 시가에 진입 if i + 1 >= len(candles): continue next_c = candles[i + 1] @@ -248,9 +400,16 @@ def run_scalping_backtest( if entry_price <= 0: continue - qty = max(1, int(slot_money / entry_price)) + # 포지션 크기 계산 (최대 금액 손실 컷 기반) + invest_amount = slot_money + if max_loss_krw > 0 and sl_pct > 0: + invest_limit = max_loss_krw / sl_pct + invest_amount = min(invest_limit, slot_money) + + qty = max(1, int(invest_amount / entry_price)) stop = entry_price * (1 - sl_pct) target = entry_price * (1 + tp_pct) + position = { "entry_price": entry_price, "entry_time": next_c["candle_time"], @@ -266,7 +425,7 @@ def run_scalping_backtest( return all_trades -# ── 실시간 봇용: 단일 시점 매수/매도 판단 (백테스트와 동일 규칙) ───────────────── +# ── 실시간 봇용: 단일 시점 매수/매도 판단 (백테스트와 100% 동일 규칙) ────────────── def check_buy_signal_live( candles: List[Dict], @@ -274,25 +433,28 @@ def check_buy_signal_live( state: Dict[str, Any], ) -> Tuple[Optional[str], Optional[str], Optional[Dict[str, Any]]]: """ - 실시간 봇: 현재 캔들 리스트의 마지막 봉이 백테스트와 동일한 매수 신호인지 판단. - candles: 확정 봉 리스트 (candle_time, open, high, low, close, volume) - state: { "last_exit_dt": datetime or None (당일 마지막 청산 시각), "daily_cnt": int (당일 이미 진입한 횟수) } - 반환: (reject_reason, reject_msg, sig) — 통과 시 (None, None, {"signal": True, "rsi": float}), - 탈락 시 ("탈락-XXX", "메시지", None). 실매 ver2에서 ver1과 동일한 로그 출력용. + 실시간 봇: 현재 캔들 리스트의 마지막 봉이 매수 신호인지 판단. + 방어 로직 포함. """ if len(candles) < 4: return ("탈락-봉부족", "확정봉 4개 미만", None) + rsi_period = int(params.get("rsi_period", 3)) rsi_oversold = float(params.get("rsi_oversold", 25)) rsi_overbought = float(params.get("rsi_overbought", 75.0)) - sl_pct = float(params.get("sl_pct", 0.015)) - tp_pct = float(params.get("tp_pct", 0.015)) drop_rate = float(params.get("drop_rate", 0.015)) time_start_hm = int(params.get("time_start_hm", 900)) time_end_hm = int(params.get("time_end_hm", 1530)) cooldown_min = float(params.get("cooldown_min", 10)) max_daily = int(params.get("max_daily", 3)) vol_mult = float(params.get("vol_mult", 0)) + + high_chase_thr = float(params.get("high_chase_thr", 0.96)) + max_daily_chg = float(params.get("max_daily_chg", 20.0)) + min_price = float(params.get("min_price", 1000.0)) + use_defense_filters = _to_bool(params.get("use_defense_filters", True), True) + # 되돌림 봉 조건: True면 직전 음봉+현재 양봉 필수, False면 RSI 과매도만으로도 진입 허용 (실매 테스트용) + require_reversal_candle = bool(params.get("require_reversal_candle", True)) i = len(candles) - 1 c = candles[i] @@ -304,11 +466,134 @@ def check_buy_signal_live( if hm < time_start_hm or hm >= time_end_hm: return (None, None, None) + last_exit_dt = state.get("last_exit_dt") if last_exit_dt is not None: elapsed = (_t2dt(c["candle_time"]) - last_exit_dt).total_seconds() / 60 if elapsed < cooldown_min: return (None, None, None) + + if state.get("daily_cnt", 0) >= max_daily: + return (None, None, None) + + if use_defense_filters and cl < min_price: + return ("탈락-최소가격", "%.0f < %.0f" % (cl, min_price), None) + + closes = [float(x["close"]) for x in candles] + rsis = compute_rsi_series(closes, rsi_period) + rsi = rsis[i] if i < len(rsis) else None + + if rsi is None: + return ("탈락-RSI없음", "RSI 미계산 (봉 축적 중)", None) + if rsi <= 0.0: + return ("탈락-RSI무효", "RSI3=0.0 (봉 부족, 계산 불가)", None) + if rsi > rsi_overbought: + return ("탈락-RSI과열", "RSI3=%.1f > %.0f" % (rsi, rsi_overbought), None) + if rsi > rsi_oversold: + return ("탈락-RSI조건", "RSI3=%.1f (과매도<%.0f 아님)" % (rsi, rsi_oversold), None) + + if require_reversal_candle: + prev_bear = float(prev_c["close"]) < float(prev_c["open"]) + curr_bull = cl > float(c["open"]) + if not (prev_bear and curr_bull): + return ("탈락-되돌림없음", "prev_bear=%s curr_bull=%s" % (prev_bear, curr_bull), None) + + running_open = float(c["open"]) + running_low = lo + running_high = float(c["high"]) + + for j in range(i - 1, -1, -1): + if candles[j]["candle_time"][:8] != day: + break + running_open = float(candles[j]["open"]) + running_low = min(running_low, float(candles[j]["low"])) + running_high = max(running_high, float(candles[j]["high"])) + + if running_open <= 0: + return (None, None, None) + + if use_defense_filters: + dr = (running_open - running_low) / running_open + if dr < drop_rate: + return ("탈락-낙폭", "%.2f%% < %.1f%%(SCALP_MIN_DROP_RATE)" % (dr * 100, drop_rate * 100), None) + if cl >= running_high * high_chase_thr: + return ("탈락-고점추격", "현재가 %.0f >= 고가 %.0f * %.2f" % (cl, running_high, high_chase_thr), None) + if running_low > 0: + daily_chg_pct = (running_high - running_low) / running_low * 100 + if daily_chg_pct > max_daily_chg: + return ("탈락-급등주", "일일변동 %.1f%% > %.0f%%" % (daily_chg_pct, max_daily_chg), None) + + if vol_mult > 0: + volumes = [float(x.get("volume", 0)) for x in candles] + vol = volumes[i] if i < len(volumes) else 0 + win = max(1, min(20, i)) + vol_avg = sum(volumes[i - win : i]) / win + if vol_avg > 0 and vol < vol_avg * vol_mult: + return ("탈락-거래량", "%.0f < 평균%.0f × %.1f" % (vol, vol_avg, vol_mult), None) + + return (None, None, {"signal": True, "rsi": rsi}) + + +# ── 모멘텀 추격형 진입 (SCALP_MODE=momentum) ──────────────────────────────── +# 키움 'scalp' 조건검색(갭상승 + 신고가 돌파 + 등락률 +1~10%)이 이미 모멘텀 +# 종목군을 거른다는 전제 → 봇은 "모멘텀이 살아있고 끝물이 아닌지" + "현재봉이 +# 양봉 마무리인지" + "거래량이 직전 평균보다 많은지" 만 검증해서 따라붙는다. +# +# 기존 ``check_buy_signal_live`` (RSI 과매도 V자 반전형) 와 정반대 방향이라 +# 별도 함수로 둠. ``SCALP_MODE`` 토글로 어느 쪽이든 즉시 전환 가능. +def check_buy_signal_momentum_live( + candles: List[Dict], + params: Dict[str, Any], + state: Dict[str, Any], +) -> Tuple[Optional[str], Optional[str], Optional[Dict[str, Any]]]: + """모멘텀 추격 1분봉 진입 시그널. + + 탈락 사유: + - 봉 부족 / 시간대 / 쿨다운 / 일일 횟수 (기존과 동일) + - 최소 가격 + - RSI3 < ``mom_rsi_min`` → 모멘텀 약함 + - RSI3 > ``mom_rsi_max`` → 끝물(과열) + - 음봉/도지 (현재봉 close ≤ open) + - 직전봉 종가 미만 (모멘텀 꺾임) + - 거래량 < 직전 ``mom_vol_win``봉 평균 × ``mom_vol_mult`` + - 일중 변동률 > ``max_daily_chg`` (피뢰침 컷) + """ + if len(candles) < 6: + return ("탈락-봉부족", "확정봉 6개 미만", None) + + rsi_period = int(params.get("rsi_period", 3)) + rsi_min = float(params.get("mom_rsi_min", 50.0)) + rsi_max = float(params.get("mom_rsi_max", 80.0)) + vol_mult = float(params.get("mom_vol_mult", 1.5)) + vol_win = int(params.get("mom_vol_win", 5)) + time_start_hm = int(params.get("time_start_hm", 900)) + time_end_hm = int(params.get("mom_time_end_hm", params.get("time_end_hm", 1430))) + cooldown_min = float(params.get("cooldown_min", 10)) + max_daily = int(params.get("max_daily", 5)) + max_daily_chg = float(params.get("max_daily_chg", 20.0)) + min_price = float(params.get("min_price", 1000.0)) + + i = len(candles) - 1 + c = candles[i] + day = c["candle_time"][:8] + hm = int(c["candle_time"][8:12]) + cl = float(c["close"]) + op = float(c["open"]) + vol = float(c.get("volume", 0)) + prev_c = candles[i - 1] + + if hm < time_start_hm or hm >= time_end_hm: + return (None, None, None) + + if cl < min_price: + return ("탈락-최소가격", "%.0f < %.0f" % (cl, min_price), None) + + last_exit_dt = state.get("last_exit_dt") + if last_exit_dt is not None: + elapsed = (_t2dt(c["candle_time"]) - last_exit_dt).total_seconds() / 60 + if elapsed < cooldown_min: + return (None, None, None) + if state.get("daily_cnt", 0) >= max_daily: return (None, None, None) @@ -318,36 +603,40 @@ def check_buy_signal_live( if rsi is None: return ("탈락-RSI없음", "RSI 미계산 (봉 축적 중)", None) if rsi <= 0.0: - return ("탈락-RSI무효", "RSI3=0.0 (봉 부족, 계산 불가)", None) - if rsi > rsi_overbought: - return ("탈락-RSI과열", "RSI3=%.1f > %.0f" % (rsi, rsi_overbought), None) - if rsi > rsi_oversold: - return ("탈락-RSI조건", "RSI3=%.1f (과매도<%.0f 아님)" % (rsi, rsi_oversold), None) - prev_bear = float(prev_c["close"]) < float(prev_c["open"]) - curr_bull = cl > float(c["open"]) - if not (prev_bear and curr_bull): - return ("탈락-되돌림없음", "prev_bear=%s curr_bull=%s" % (prev_bear, curr_bull), None) + return ("탈락-RSI무효", "RSI3=0.0 (봉 부족)", None) + if rsi < rsi_min: + return ("탈락-모멘텀약함", "RSI3=%.1f < %.0f" % (rsi, rsi_min), None) + if rsi > rsi_max: + return ("탈락-과열끝물", "RSI3=%.1f > %.0f" % (rsi, rsi_max), None) - running_open = float(c["open"]) - running_low = lo + if cl <= op: + return ("탈락-음봉", "close=%.0f ≤ open=%.0f" % (cl, op), None) + if cl <= float(prev_c["close"]): + return ("탈락-전봉미만", "close=%.0f ≤ prev=%.0f" % (cl, float(prev_c["close"])), None) + + # 거래량 (직전 vol_win봉 평균 × 배수 이상) + if vol_mult > 0: + volumes = [float(x.get("volume", 0)) for x in candles] + win = max(1, min(vol_win, i)) + vol_avg = sum(volumes[i - win : i]) / win + if vol_avg > 0 and vol < vol_avg * vol_mult: + ratio = vol / vol_avg if vol_avg > 0 else 0 + return ("탈락-거래량부족", "%.2fx < %.1fx (avg %.0f)" % (ratio, vol_mult, vol_avg), None) + + # 일중 변동률 컷 (피뢰침/이상급등 회피) + running_low = float(c["low"]) + running_high = float(c["high"]) for j in range(i - 1, -1, -1): if candles[j]["candle_time"][:8] != day: break - running_open = float(candles[j]["open"]) running_low = min(running_low, float(candles[j]["low"])) - if running_open <= 0: - return (None, None, None) - dr = (running_open - running_low) / running_open - if dr < drop_rate: - return ("탈락-낙폭", "%.2f%% < %.1f%%(SCALP_MIN_DROP_RATE)" % (dr * 100, drop_rate * 100), None) - if vol_mult > 0: - volumes = [float(x.get("volume", 0)) for x in candles] - vol = volumes[i] if i < len(volumes) else 0 - win = max(1, min(20, i)) - vol_avg = sum(volumes[i - win : i]) / win - if vol_avg > 0 and vol < vol_avg * vol_mult: - return ("탈락-거래량", "%.0f < 평균%.0f × %.1f" % (vol, vol_avg, vol_mult), None) - return (None, None, {"signal": True, "rsi": rsi}) + running_high = max(running_high, float(candles[j]["high"])) + if running_low > 0: + daily_chg_pct = (running_high - running_low) / running_low * 100 + if daily_chg_pct > max_daily_chg: + return ("탈락-급등주", "일일변동 %.1f%% > %.0f%%" % (daily_chg_pct, max_daily_chg), None) + + return (None, None, {"signal": True, "rsi": rsi, "mode": "momentum"}) def check_sell_signal_live( @@ -357,36 +646,72 @@ def check_sell_signal_live( is_eod: bool = False, ) -> Optional[tuple]: """ - 실시간 봇: 보유 포지션에 대해 백테스트와 동일한 청산 조건 판단. + 실시간 봇 및 백테스트 공용: 보유 포지션에 대해 방어 로직이 포함된 청산 조건 판단. position: { "entry_price", "entry_time", "qty", "stop", "target", "max_price", "rsi" } - current_candle: { "high", "low", "close" } (현재가 기준이면 high=low=close 또는 고점 갱신값) - is_eod: 장 마감 구간이면 True 시 장마감청산 반환 + current_candle: { "high", "low", "close" } 반환: (reason_str, exit_price) 또는 None """ - sl_pct = float(params.get("sl_pct", 0.015)) - tp_pct = float(params.get("tp_pct", 0.015)) trail_trigger = float(params.get("trail_trigger", 0)) trail_stop = float(params.get("trail_stop", 0.004)) + fee_rate = float(params.get("fee_rate", 0.00015)) + sell_tax = float(params.get("sell_tax", 0.0018)) + min_margin = float(params.get("min_margin", 0.002)) + max_loss_krw = float(params.get("max_loss_krw", 200000.0)) + hi = float(current_candle.get("high", current_candle["close"])) lo = float(current_candle.get("low", current_candle["close"])) cl = float(current_candle["close"]) + max_price = max(position["max_price"], hi) + position["max_price"] = max_price # 참조형 변형으로 백테스트루프에 상태 업데이트 + + buy_price = position["entry_price"] + qty = position["qty"] + + # 본절가 계산: 매수가 * (1 + 수수료 * 2 + 세금 + 최소마진) + breakeven_pct = fee_rate * 2 + sell_tax + min_margin + breakeven_price = buy_price * (1 + breakeven_pct) + reason = None exit_price = cl - if lo <= position["stop"]: + + # 현재가 기준 (수수료 미적용) 손실액 + profit_val = (cl - buy_price) * qty + drop_pct = (buy_price - lo) / buy_price if buy_price > 0 else 0 + min_drop_pct = float(params.get("min_drop_pct_for_loss_cut", 0.015)) + + # 1. 원화 기준 최대 손실컷 — 손실 금액 한도 초과 **이면서** 하락률이 최소값 이상일 때만 발동 (흔들림 방지) + if profit_val <= -max_loss_krw and drop_pct >= min_drop_pct: + reason = "금액손실컷" + exit_price = cl + + # 2. 일반 손절 (비율 기준) + elif lo <= position["stop"]: reason = "손절" exit_price = position["stop"] + + # 3. 일반 익절 (비율 기준) elif hi >= position["target"]: reason = "익절" exit_price = position["target"] - elif trail_trigger > 0 and max_price >= position["entry_price"] * (1 + trail_trigger): + + # 4. 본절사수 (Breakeven) - 고점이 본절가를 넘은 적이 있는데 현재가가 본절가 이하로 떨어질 때 + elif max_price >= breakeven_price and cl <= breakeven_price: + reason = "본절사수" + exit_price = cl + + # 5. 트레일링 스탑 + elif trail_trigger > 0 and max_price >= buy_price * (1 + trail_trigger): ts = max_price * (1 - trail_stop) if cl <= ts: reason = "트레일링스탑" exit_price = cl + + # 6. 장마감 청산 if reason is None and is_eod: reason = "장마감청산" exit_price = cl + if reason: return (reason, exit_price) - return None + return None \ No newline at end of file diff --git a/tail_engine.py b/tail_engine.py index e7005ee..dc430cb 100644 --- a/tail_engine.py +++ b/tail_engine.py @@ -2,28 +2,39 @@ """ tail_engine.py — 꼬리잡기 백테스트·실매매 공통 엔진 ==================================================== -백테스트(backtest_web)와 실매매(kis_short_ver3)가 동일한 진입/청산 계산식을 쓰도록 공통 로직만 둠. +백테스트(backtest_web), 파라미터 탐색(tail_param_search), 실매매(kis_short_ver3)가 +모두 동일한 진입/청산 계산식과 '고급 방어 로직'을 쓰도록 통합된 단일 소스 엔진. ■ 엔진 공통 로직 (백테·실매 동일) - 매수: 당일 낙폭(drop) ≥ min_drop_rate, 당일 회복률(rec_day) ≥ min_recovery_ratio, - 망치봉 꼬리(tail_ratio/tail_pct), 3분봉 회복(rec_3m) 구간, RSI < rsi_threshold, - 고점추격 방지(high_chase_thr), 시간대/쿨다운/max_daily. - 매도: 손절가(sl_pct), 익절가(tp_pct), 어깨컷(shoulder_min_high + shoulder_cut_pct), 장마감. - -■ 엔진 밖(실매매 전용): 금액손실컷, ATR 기반 손절/목표가, 퀵프로핏, MA20/ML 필터 등. + 매수: 당일 낙폭(drop), 회복률(rec_day), 망치봉 꼬리(tail_ratio/tail_pct), RSI < rsi_threshold, + 고점추격 방지, 시간대/쿨다운, + [V3 추가] MA20 필터, 일일 변동폭(피뢰침) 방어, 최소 가격. + 매도: ATR 기반 동적 손절/목표가, 어깨컷(trailing), 금액손실컷, 최소 보유 시간, 장마감 강제 청산. """ from datetime import datetime from typing import List, Dict, Any, Optional + +def _slot_key(candle_time: str, scan_interval_min: int = 1) -> str: + """봉 시각을 N분 단위 슬롯 키로 변환. + + 신봇 기준: caller 가 ``TradeDBExt.get_universe_by_candle_time()`` 으로 + 1분 캔들 시각 키 dict 를 만들어 주입하므로 기본값은 1분(= passthrough). + ``--fallback-universe`` 시뮬레이션은 caller 가 ``scan_interval_min=5`` 를 + 명시해 5분 버킷팅으로 사용. + """ + date = candle_time[:8] + hm = int(candle_time[8:12]) + total_min = (hm // 100) * 60 + (hm % 100) + slot_min = (total_min // scan_interval_min) * scan_interval_min + slot_hm = (slot_min // 60) * 100 + (slot_min % 60) + return date + str(slot_hm).zfill(4) + + def get_tail_defaults_from_db(db=None) -> Dict[str, Any]: """ - env_config 최신 행에서 꼬리잡기 관련 값 전부 로드. + env_config 최신 행에서 꼬리잡기 관련 값과 고급 방어 로직 값을 전부 로드. 백테스트·파라미터서치·실매매가 동일 DB 값을 쓰도록 단일 소스. - db: 기존 TradeDB 인스턴스. 주면 연결 생성/종료 없이 재사용 (봇 메인 루프에서 반복 호출 시 로그 스팸·연결 낭비 방지). - 결과에 영향을 주는 env 키: MIN_DROP_RATE, MIN_RECOVERY_RATIO_SHORT, TAIL_RATIO_MIN, TAIL_PCT_MIN, - STOP_LOSS_PCT, TAKE_PROFIT_PCT, SHOULDER_MIN_HIGH_PCT, SHOULDER_CUT_PCT, RSI_PERIOD, RSI_OVERHEAT_THRESHOLD, - REENTRY_COOLDOWN_SEC, HIGH_PRICE_CHASE_THRESHOLD, MAX_RECOVERY_RATIO_3M, (시간/일일한도). """ own_db = None try: @@ -34,6 +45,7 @@ def get_tail_defaults_from_db(db=None) -> Dict[str, Any]: row = db.conn.execute("SELECT * FROM env_config ORDER BY id DESC LIMIT 1").fetchone() if row: r = dict(row) + # 기본 전략 파라미터 min_drop = float(r.get("MIN_DROP_RATE") or 0.03) min_rec = float(r.get("MIN_RECOVERY_RATIO_SHORT") or 0.5) tail_ratio = float(r.get("TAIL_RATIO_MIN") or 1.5) @@ -50,6 +62,23 @@ def get_tail_defaults_from_db(db=None) -> Dict[str, Any]: time_start = int(r.get("TAIL_TIME_START") or r.get("TIME_START") or 930) time_end = int(r.get("TAIL_TIME_END") or r.get("TIME_END") or 1500) max_daily = int(r.get("MAX_DAILY_TAIL") or r.get("MAX_STOCKS") or 3) + + # 고급 방어 필터 파라미터 (V3 통합) + min_price = float(r.get("MIN_PRICE_TAIL") or 1000.0) + max_daily_change = float(r.get("MAX_DAILY_CHANGE_PCT") or 20.0) + ma20_max_above = float(r.get("MA20_MAX_ABOVE_PCT") or 3.0) + stop_atr_mult = float(r.get("STOP_ATR_MULTIPLIER_TAIL") or 2.5) + target_atr_mult = float(r.get("TARGET_ATR_MULTIPLIER_TAIL") or 8.0) + max_loss_krw = int(r.get("MAX_LOSS_PER_TRADE_KRW") or 200000) + _min_drop_loss = r.get("MIN_DROP_PCT_FOR_LOSS_CUT") + min_drop_pct_for_loss_cut = 0.015 # 기본 1.5%: 이 하락률 미만이면 금액손실컷 미발동(흔들림 방지) + if _min_drop_loss not in (None, ""): + v = float(_min_drop_loss) + min_drop_pct_for_loss_cut = v / 100.0 if v >= 1 else v + risk_pct = float(r.get("RISK_PCT_PER_TRADE") or 0.01) + kelly_mult = float(r.get("KELLY_MULTIPLIER") or 0.25) + min_hold_sec = float(r.get("MIN_HOLD_AFTER_BUY_SEC") or 30.0) + capital = float(r.get("BACKTEST_CAPITAL") or 100000000.0) # 백테스트용 기본 자본 else: min_drop, min_rec = 0.03, 0.5 tail_ratio, tail_pct = 1.5, 0.003 @@ -58,6 +87,11 @@ def get_tail_defaults_from_db(db=None) -> Dict[str, Any]: cooldown_sec, rsi_period, rsi_threshold = 900, 14, 78.0 max_rec_3m, high_chase = 0.8, 0.96 time_start, time_end, max_daily = 930, 1500, 3 + min_price, max_daily_change, ma20_max_above = 1000.0, 20.0, 3.0 + stop_atr_mult, target_atr_mult = 2.5, 8.0 + max_loss_krw, risk_pct, kelly_mult = 200000, 0.01, 0.25 + min_drop_pct_for_loss_cut = 0.015 + min_hold_sec, capital = 30.0, 100000000.0 except Exception: min_drop, min_rec = 0.03, 0.5 tail_ratio, tail_pct = 1.5, 0.003 @@ -66,6 +100,11 @@ def get_tail_defaults_from_db(db=None) -> Dict[str, Any]: cooldown_sec, rsi_period, rsi_threshold = 900, 14, 78.0 max_rec_3m, high_chase = 0.8, 0.96 time_start, time_end, max_daily = 930, 1500, 3 + min_price, max_daily_change, ma20_max_above = 1000.0, 20.0, 3.0 + stop_atr_mult, target_atr_mult = 2.5, 8.0 + max_loss_krw, risk_pct, kelly_mult = 200000, 0.01, 0.25 + min_drop_pct_for_loss_cut = 0.015 + min_hold_sec, capital = 30.0, 100000000.0 finally: if own_db is not None: try: @@ -89,11 +128,23 @@ def get_tail_defaults_from_db(db=None) -> Dict[str, Any]: "time_start_hm": time_start, "time_end_hm": time_end, "max_daily": max_daily, + # 고급 방어 파라미터 반환 + "min_price": min_price, + "max_daily_change": max_daily_change, + "ma20_max_above": ma20_max_above, + "stop_atr_mult": stop_atr_mult, + "target_atr_mult": target_atr_mult, + "max_loss_krw": max_loss_krw, + "min_drop_pct_for_loss_cut": min_drop_pct_for_loss_cut, + "risk_pct": risk_pct, + "kelly_mult": kelly_mult, + "min_hold_sec": min_hold_sec, + "capital": capital, } def compute_rsi_series(closes: List[float], period: int = 14) -> List[Optional[float]]: - """RSI 시리즈 (Wilder 스무딩). backtest_web과 동일.""" + """RSI 시리즈 (Wilder 스무딩).""" rsi_list: List[Optional[float]] = [None] * len(closes) if len(closes) < period + 1: return rsi_list @@ -113,6 +164,40 @@ def compute_rsi_series(closes: List[float], period: int = 14) -> List[Optional[f return rsi_list +def compute_sma_series(closes: List[float], period: int = 20) -> List[Optional[float]]: + """단순 이동평균(SMA) 계산기 (엔진 내부용).""" + sma_list: List[Optional[float]] = [None] * len(closes) + if len(closes) < period: + return sma_list + running_sum = sum(closes[:period]) + sma_list[period - 1] = running_sum / period + for i in range(period, len(closes)): + running_sum += closes[i] - closes[i - period] + sma_list[i] = running_sum / period + return sma_list + + +def compute_atr_series(candles: List[Dict], period: int = 14) -> List[Optional[float]]: + """ATR(Average True Range) 변동성 지표 계산기 (엔진 내부용).""" + atr_list: List[Optional[float]] = [None] * len(candles) + if len(candles) < period + 1: + return atr_list + trs = [0.0] * len(candles) + for i in range(1, len(candles)): + hi = float(candles[i]["high"]) + lo = float(candles[i]["low"]) + prev_cl = float(candles[i - 1]["close"]) + trs[i] = max(hi - lo, abs(hi - prev_cl), abs(lo - prev_cl)) + + # ATR = SMA of TR + running_sum = sum(trs[1:period+1]) + atr_list[period] = running_sum / period + for i in range(period + 1, len(candles)): + running_sum += trs[i] - trs[i - period] + atr_list[i] = running_sum / period + return atr_list + + def _t2dt(t: str) -> datetime: """candle_time 문자열 → datetime.""" return datetime.strptime(t, "%Y%m%d%H%M") @@ -125,17 +210,16 @@ def check_buy_signal_live( ) -> tuple: """ 실시간: 마지막 봉이 백테스트(run_tail_backtest)와 동일한 꼬리잡기 매수 조건을 만족하는지 판단. - 로직 단일 소스: run_tail_backtest와 완전 동일한 조건·계산식. + [V3 통합]: MA20, 피뢰침, 최소가격 필터 등 고급 방어 로직 엔진 내장. candles: 3분봉 리스트 (candle_time, open, high, low, close, volume) state: { "last_exit_dt": datetime|None, "daily_cnt": int } 반환: (reject_reason, reject_msg, signal_dict) - - 통과 시: (None, None, {"signal": True, "tail_ratio", "recovery_pos", "rsi_val"}) - - 탈락 시: ("탈락-XXX", "상세메시지(숫자포함)", None) → 호출측에서 "🔍 [탈락-XXX] name code: 상세메시지" 로그 """ - if len(candles) < 10: - return ("탈락-데이터", "봉 수 부족 (len<10)", None) + if len(candles) < 20: # MA20 계산을 위해 최소 20봉 필요 + return ("탈락-데이터", f"봉 수 부족 (len={len(candles)} < 20)", None) + i = len(candles) - 1 c = candles[i] day = c["candle_time"][:8] @@ -145,6 +229,7 @@ def check_buy_signal_live( lo = float(c["low"]) cl = float(c["close"]) + # 엔진 파라미터 로드 min_drop_rate = float(params.get("min_drop_rate", 0.03)) min_recovery_ratio = float(params.get("min_recovery_ratio", 0.5)) max_rec_3m = float(params.get("max_rec_3m", 0.8)) @@ -157,9 +242,14 @@ def check_buy_signal_live( time_end_hm = int(params.get("time_end_hm", 1500)) cooldown_min = float(params.get("cooldown_min", 15)) max_daily = int(params.get("max_daily", 3)) + + # 방어 로직 파라미터 + min_price = float(params.get("min_price", 1000.0)) + max_daily_change = float(params.get("max_daily_change", 20.0)) + ma20_max_above = float(params.get("ma20_max_above", 3.0)) if hm < time_start_hm or hm > time_end_hm: - return (None, None, None) # 시간대 탈락 (로그 생략 가능) + return (None, None, None) # 시간대 탈락 if state.get("daily_cnt", 0) >= max_daily: return (None, None, None) last_exit_dt = state.get("last_exit_dt") @@ -168,7 +258,10 @@ def check_buy_signal_live( if elapsed < cooldown_min: return (None, None, None) - # 당일 누적 OHLC (run_tail_backtest와 동일) + if cl <= 0 or cl < min_price: + return ("탈락-가격", f"현재가 부적절 (현재 {cl:,.0f}원, 최소 {min_price:,.0f}원)", None) + + # 당일 누적 OHLC 및 피뢰침 검사 running_open = op running_high = hi running_low = lo if lo > 0 else hi @@ -184,23 +277,32 @@ def check_buy_signal_live( if cl <= 0 or running_open <= 0: return (None, None, None) + # 일일 변동폭(피뢰침) 검사 + if running_low > 0: + range_change_pct = (running_high - running_low) / running_low * 100 + if range_change_pct > max_daily_change: + return ("탈락-피뢰침 급등주", f"일일 변동폭 {range_change_pct:.1f}% > {max_daily_change:.0f}%", None) + + # 낙폭 검사 drop = (running_open - running_low) / running_open if drop < min_drop_rate: return ( "탈락-낙폭", - f"낙폭 {drop*100:.2f}% < {min_drop_rate*100:.1f}% (당일 시가 {running_open:,.0f}원 → 저점 {running_low:,.0f}원)", + f"낙폭 {drop*100:.2f}% < {min_drop_rate*100:.1f}% (시가 {running_open:,.0f} → 저점 {running_low:,.0f})", None, ) + + # 회복률 검사 day_range = running_high - running_low rec_day = (cl - running_low) / day_range if day_range > 0 else 0 if rec_day < min_recovery_ratio: return ( "탈락-회복률", - f"회복률 {rec_day*100:.1f}% < {min_recovery_ratio*100:.0f}% (저점 {running_low:,.0f}원 → 현재 {cl:,.0f}원 / 범위 {day_range:,.0f}원)", + f"회복률 {rec_day*100:.1f}% < {min_recovery_ratio*100:.0f}% (저점 {running_low:,.0f} → 현재 {cl:,.0f})", None, ) - # 망치봉 꼬리 (run_tail_backtest와 동일: 최대 3봉 전까지 탐색) + # 망치봉 꼬리 검사 (최대 3봉 전까지 탐색) body_top = max(op, cl) body_bot = min(op, cl) body_len = body_top - body_bot if body_top > body_bot else 1.0 @@ -209,9 +311,7 @@ def check_buy_signal_live( if tail_len <= 0: for j in range(i - 1, max(i - 4, rsi_period), -1): prev = candles[j] - o2 = float(prev["open"]) - l2 = float(prev["low"]) - c2 = float(prev["close"]) + o2, c2, l2 = float(prev["open"]), float(prev["close"]), float(prev["low"]) if l2 <= 0: continue bt2, bb2 = max(o2, c2), min(o2, c2) @@ -229,6 +329,7 @@ def check_buy_signal_live( None, ) + # 3분봉 내 회복 위치 상한 검사 c_range = hi - lo if hi > lo else 0 rec_3m = (cl - lo) / c_range if c_range > 0 else 0 if not (min_recovery_ratio <= rec_3m <= max_rec_3m): @@ -238,6 +339,15 @@ def check_buy_signal_live( None, ) + # 고점 추격 방지 + if cl >= running_high * high_chase_thr: + return ( + "탈락-피뢰침 고점추격", + f"현재가 {cl:,.0f} ≥ 고점대비 {high_chase_thr*100:.0f}%", + None, + ) + + # RSI 검사 closes = [float(x["close"]) for x in candles] rsis = compute_rsi_series(closes, rsi_period) rsi_val = rsis[i] if i < len(rsis) else None @@ -247,17 +357,18 @@ def check_buy_signal_live( (f"RSI {rsi_val:.1f}" if rsi_val is not None else "RSI None") + f" ≥ {rsi_threshold:.0f}", None, ) - if cl >= running_high * high_chase_thr: - return ( - "탈락-피뢰침 고점추격", - f"현재가 {cl:,.0f} ≥ 고점대비 {high_chase_thr*100:.0f}%", - None, - ) + + # MA20 방어 로직 (역배열 및 이격도 과열 방지) + ma20 = sum(closes[i-19:i+1]) / 20.0 + if cl < ma20: + return ("탈락-MA20", f"현재가 {cl:,.0f} < MA20 {ma20:,.0f} (역배열)", None) + if ma20 > 0 and cl > ma20 * (1 + ma20_max_above / 100): + return ("탈락-MA20초과", f"MA20 대비 {ma20_max_above:.0f}% 이격 초과", None) return ( None, None, - {"signal": True, "tail_ratio": tail_ratio, "tail_pct": tail_pct, "recovery_pos": rec_3m, "rsi_val": rsi_val}, + {"signal": True, "tail_ratio": tail_ratio, "tail_pct": tail_pct, "recovery_pos": rec_3m, "rsi_val": rsi_val, "atr_calc_val": None}, ) @@ -268,38 +379,67 @@ def check_sell_signal_live( is_eod: bool = False, ) -> Optional[tuple]: """ - 실시간: 백테스트와 동일한 청산 조건 (손절/익절/어깨컷/장마감). - position: entry_price, entry_time, stop, target, max_price - current_candle: high, low, close + 실시간 및 백테스트 공통 청산 조건. + [V3 통합]: 금액손실컷, 어깨컷, 최소 보유 시간 검사 추가. + + position: entry_price, entry_time(YYYYMMDDHHMM), stop, target, max_price, qty + current_candle: high, low, close, candle_time 반환: (reason_str, exit_price) 또는 None """ - sl_pct = float(params.get("sl_pct", 0.03)) - tp_pct = float(params.get("tp_pct", 0.05)) shoulder_min_high = float(params.get("shoulder_min_high", 0.015)) shoulder_cut_pct = float(params.get("shoulder_cut_pct", 0.03)) + max_loss_krw = int(params.get("max_loss_krw", 200000)) + min_hold_sec = float(params.get("min_hold_sec", 30.0)) hi = float(current_candle.get("high", current_candle["close"])) lo = float(current_candle.get("low", current_candle["close"])) cl = float(current_candle["close"]) + candle_time = current_candle.get("candle_time", "") + max_p = max(position["max_price"], hi) ep = position["entry_price"] - stop = position.get("stop", ep * (1 - sl_pct)) - target = position.get("target", ep * (1 + tp_pct)) + stop = position["stop"] + target = position["target"] + qty = position.get("qty", 1) # 백테스트 시 동적 계산된 수량 + + # 최소 보유 시간 검사 (너무 짧으면 청산 무시) + if candle_time and position["entry_time"]: + try: + entry_dt = _t2dt(position["entry_time"]) + curr_dt = _t2dt(candle_time) + if (curr_dt - entry_dt).total_seconds() < min_hold_sec: + return None + except Exception: + pass reason = None exit_price = cl - if lo > 0 and lo <= stop: + profit_val = (lo - ep) * qty # 최악의 경우(저가) 기준 손실 평가 + drop_pct = (ep - lo) / ep if ep > 0 else 0 # 매수가 대비 하락률 (흔들림/슬리피지 수준이면 미발동 위해 사용) + min_drop_pct = float(params.get("min_drop_pct_for_loss_cut", 0.015)) + + # 1순위: 금액 손실컷 방어 — 손실 금액이 한도 초과 **이면서** 하락률이 최소값 이상일 때만 발동 + # (슬리피지/흔들림만으로 20만원 도달 시 어깨컷 기회 전에 잘리는 것 방지) + if profit_val <= -max_loss_krw and drop_pct >= min_drop_pct: + reason = f"금액손실컷" + exit_price = ep - (max_loss_krw / qty) if qty > 0 else lo + # 2순위: 동적 손절선 + elif lo > 0 and lo <= stop: reason = "손절" exit_price = stop + # 3순위: 동적 익절선 elif hi >= target: reason = "익절" exit_price = target + # 4순위: 어깨 컷 (Trailing Stop) elif max_p >= ep * (1 + shoulder_min_high) and cl <= max_p * (1 - shoulder_cut_pct): reason = "어깨컷" exit_price = cl - if reason is None and is_eod: + # 5순위: 장 마감 강제 청산 + elif reason is None and is_eod: reason = "장마감" exit_price = cl + if reason: return (reason, exit_price) return None @@ -308,20 +448,20 @@ def check_sell_signal_live( def run_tail_backtest( candles_by_code: Dict[str, List[Dict]], params: Dict[str, Any], + universe_by_slot: Optional[Dict[str, List[str]]] = None, ) -> List[Dict]: """ - 백테스트 1회 실행 (backtest_web과 동일 로직). API에서 호출해 단일 소스 유지. - candles_by_code: code -> list of {candle_time, open, high, low, close, volume} - params: get_tail_defaults_from_db() + sl_pct, tp_pct 등 - 반환: all_trades 리스트 + 백테스트 1회 실행. (backtest_web 및 tail_param_search 호출용) + [V3 통합]: ATR 기반 동적 목표/손절, Kelly/리스크 비율 기반 포지션 사이징을 백테스트에 완벽 적용. + + universe_by_slot이 주어지면 5분마다 해당 슬롯의 후보 종목에서만 매수 검사 (유니버스 히스토리 풀백). """ + # 파라미터 준비 min_drop_rate = float(params.get("min_drop_rate", 0.03)) min_recovery_ratio = float(params.get("min_recovery_ratio", 0.5)) max_rec_3m = float(params.get("max_rec_3m", 0.8)) tail_ratio_min = float(params.get("tail_ratio_min", 1.5)) tail_pct_min = float(params.get("tail_pct_min", 0.003)) - sl_pct = float(params.get("sl_pct", 0.03)) - tp_pct = float(params.get("tp_pct", 0.05)) shoulder_min_high = float(params.get("shoulder_min_high", 0.015)) shoulder_cut_pct = float(params.get("shoulder_cut_pct", 0.03)) rsi_period = int(params.get("rsi_period", 14)) @@ -332,12 +472,27 @@ def run_tail_backtest( cooldown_min = float(params.get("cooldown_min", 15)) max_daily = int(params.get("max_daily", 3)) + # 방어 로직 (동적 계산용) + stop_atr_mult = float(params.get("stop_atr_mult", 2.5)) + target_atr_mult = float(params.get("target_atr_mult", 8.0)) + max_loss_krw = int(params.get("max_loss_krw", 200000)) + risk_pct = float(params.get("risk_pct", 0.01)) + kelly_mult = float(params.get("kelly_mult", 0.25)) + capital = float(params.get("capital", 100000000.0)) + static_sl_pct = abs(float(params.get("sl_pct", 0.03))) + all_trades: List[Dict] = [] + for code, candles in candles_by_code.items(): if len(candles) < rsi_period + 5: continue + + # 벡터 연산으로 지표 선행 계산 (백테스트 속도 최적화) closes = [float(c["close"]) for c in candles] rsis = compute_rsi_series(closes, rsi_period) + ma20s = compute_sma_series(closes, 20) + atrs = compute_atr_series(candles, 14) + position = None last_exit_dt: Dict[str, datetime] = {} daily_cnt: Dict[str, int] = {} @@ -354,6 +509,7 @@ def run_tail_backtest( lo = float(c["low"]) cl = float(c["close"]) + # 일일 변수 초기화 및 갱신 if day != cur_day: cur_day = day running_open = op @@ -366,31 +522,23 @@ def run_tail_backtest( is_eod = (i == len(candles) - 1) or (candles[i + 1]["candle_time"][:8] != day) + # ── 1. 청산 검사 (포지션 보유 중일 때) ── if position is not None: max_p = max(position["max_price"], hi) position["max_price"] = max_p - reason = None - exit_price = cl - if lo > 0 and lo <= position["stop"]: - reason = "손절" - exit_price = position["stop"] - elif hi >= position["target"]: - reason = "익절" - exit_price = position["target"] - elif max_p >= position["entry_price"] * (1 + shoulder_min_high) and cl <= max_p * (1 - shoulder_cut_pct): - reason = "어깨컷" - exit_price = cl - elif is_eod: - reason = "장마감" - exit_price = cl - if reason: + + cur_c_info = {"high": hi, "low": lo, "close": cl, "candle_time": c["candle_time"]} + res = check_sell_signal_live(position, cur_c_info, params, is_eod=is_eod) + + if res: + reason, exit_price = res all_trades.append({ "code": code, "entry_time": position["entry_time"], "exit_time": c["candle_time"], "entry": round(position["entry_price"]), "exit": round(exit_price), - "pnl": 0, + "pnl": 0, # 후처리 로직(웹/서치)에서 qty와 세금 곱해서 갱신됨 "reason": reason, "hold_min": 0, }) @@ -400,10 +548,14 @@ def run_tail_backtest( i += 1 continue - if cl <= 0 or running_open <= 0: - i += 1 - continue - if hm < time_start_hm or hm > time_end_hm: + # ── 2. 매수 검사 (포지션 없을 때, 유니버스 시뮬레이션 시 해당 슬롯 후보만) ── + if universe_by_slot is not None: + # 신봇 기본: 1분봉 == 슬롯 키 (TradeDBExt.get_universe_by_candle_time 키 포맷). + slot_key = _slot_key(c["candle_time"], params.get("scan_interval_min", 1)) + if code not in universe_by_slot.get(slot_key, []): + i += 1 + continue + if cl <= 0 or running_open <= 0 or hm < time_start_hm or hm > time_end_hm: i += 1 continue if daily_cnt.get(day, 0) >= max_daily: @@ -419,14 +571,15 @@ def run_tail_backtest( if drop < min_drop_rate: i += 1 continue + day_range = running_high - running_low rec_day = (cl - running_low) / day_range if day_range > 0 else 0 if rec_day < min_recovery_ratio: i += 1 continue - body_top = max(op, cl) - body_bot = min(op, cl) + # 꼬리 비율 검사 + body_top, body_bot = max(op, cl), min(op, cl) body_len = body_top - body_bot if body_top > body_bot else 1.0 tail_len = body_bot - lo if lo > 0 else 0.0 lo_use = lo @@ -434,8 +587,7 @@ def run_tail_backtest( for j in range(i - 1, max(i - 4, rsi_period), -1): prev = candles[j] o2, l2, c2 = float(prev["open"]), float(prev["low"]), float(prev["close"]) - if l2 <= 0: - continue + if l2 <= 0: continue bt2, bb2 = max(o2, c2), min(o2, c2) bl2 = bt2 - bb2 if bt2 > bb2 else 1.0 tl2 = bb2 - l2 @@ -447,19 +599,38 @@ def run_tail_backtest( if tail_ratio < tail_ratio_min or tail_pct < tail_pct_min: i += 1 continue + c_range = hi - lo if hi > lo else 0 rec_3m = (cl - lo) / c_range if c_range > 0 else 0 if not (min_recovery_ratio <= rec_3m <= max_rec_3m): i += 1 continue - rsi_val = rsis[i] if i < len(rsis) else None + + rsi_val = rsis[i] if rsi_val is None or rsi_val >= rsi_threshold: i += 1 continue + if cl >= running_high * high_chase_thr: i += 1 continue + + # MA20 방어 로직 (역배열 및 이격도 과열 차단) + ma20 = ma20s[i] + if ma20 is None or cl < ma20: + i += 1 + continue + ma20_max_above = float(params.get("ma20_max_above", 3.0)) + if ma20 > 0 and cl > ma20 * (1 + ma20_max_above / 100): + i += 1 + continue + # 피뢰침 변동폭 방어 + if running_low > 0 and ((running_high - running_low) / running_low * 100) > float(params.get("max_daily_change", 20.0)): + i += 1 + continue + + # ── 3. 매수 실행 (다음 봉 시가 진입) ── if i + 1 >= len(candles): i += 1 continue @@ -467,17 +638,31 @@ def run_tail_backtest( if next_c["candle_time"][:8] != day: i += 1 continue + entry_price = float(next_c["open"]) if entry_price <= 0: entry_price = cl + + # ATR 기반 동적 목표/손절 계산 + atr = atrs[i] if atrs[i] is not None else entry_price * 0.01 + stop_p = entry_price - (atr * stop_atr_mult) + target_p = entry_price + (atr * target_atr_mult) + + # 포지션 사이징 로직 (Risk % 및 Max Loss 반영) + from_risk = (capital * risk_pct * kelly_mult) / static_sl_pct if static_sl_pct > 0 else capital + from_cap = max_loss_krw / static_sl_pct if static_sl_pct > 0 else capital + invest_amount = min(from_risk, from_cap) + calc_qty = max(1, int(invest_amount / entry_price)) + position = { "entry_price": entry_price, "entry_time": next_c["candle_time"], - "stop": entry_price * (1 - sl_pct), - "target": entry_price * (1 + tp_pct), + "stop": stop_p, + "target": target_p, "max_price": entry_price, + "qty": calc_qty, } - i += 1 # 진입 봉(next) 건너뜀 — 다음 봉부터 포지션 보유로 청산 체크 + i += 1 # 진입 봉 건너뜀 continue - return all_trades + return all_trades \ No newline at end of file diff --git a/test_kiwoom_token.py b/test_kiwoom_token.py new file mode 100644 index 0000000..6cd4e3d --- /dev/null +++ b/test_kiwoom_token.py @@ -0,0 +1,339 @@ +#!/usr/bin/env python3 +""" +키움 OpenAPI 토큰 발급 진단 스크립트 +==================================== + +DB(env_config 최신 스냅샷)에 저장된 키움 키 4종 (MOCK·REAL × KEY·SECRET)을 +자동으로 읽어 모의/실전 도메인 각각에 ``POST /oauth2/token`` 을 던지고, +응답·키 메타정보(길이·공백포함·앞뒤 일부)를 한 번에 보여 준다. + +키움 토큰 엔드포인트 (kis_ws.KiwoomTokenManager._request_new_token 와 동일): + - 실전: https://api.kiwoom.com/oauth2/token + - 모의: https://mockapi.kiwoom.com/oauth2/token + - body: {"grant_type":"client_credentials","appkey":..., "secretkey":...} + +사용법 +------ + +DB 키로 자동 테스트:: + + python3 test_kiwoom_token.py + +인터랙티브 입력 (키에 특수문자/공백 있을 때 가장 안전):: + + python3 test_kiwoom_token.py --manual + python3 test_kiwoom_token.py --manual --mode real + +CLI 인자로 직접 입력 (키 값은 반드시 ``"…"`` 로 감싸세요):: + + python3 test_kiwoom_token.py --key "" --secret "" --mode mock + python3 test_kiwoom_token.py --key="" --secret="" --mode real + +자주 보는 에러 코드 +------------------- + +- 8001: App Key / Secret 검증 실패 → 키 자체가 틀렸거나 OpenAPI 미신청 / 만료 +- 1700: 요청 개수 초과 (au10001 rate limit) → 1분 정도 기다렸다가 재시도 +- 9999: 서버 일시 오류 → 재시도 + +이 스크립트는 토큰 발급만 하므로 계좌번호는 사용하지 않는다 (키움 시세 API 정책). +""" + +from __future__ import annotations + +import argparse +import getpass +import json +import sys +from pathlib import Path +from typing import Optional, Tuple + +import requests + +SCRIPT_DIR = Path(__file__).resolve().parent +sys.path.insert(0, str(SCRIPT_DIR)) + + +# ────────────────────────────────────────────────────────────────────── +# 도메인 / 모드 +# ────────────────────────────────────────────────────────────────────── +DOMAINS = { + "mock": "mockapi.kiwoom.com", + "real": "api.kiwoom.com", +} + + +# ────────────────────────────────────────────────────────────────────── +# 키 메타정보 진단 +# ────────────────────────────────────────────────────────────────────── +def _safe_preview(s: str, head: int = 8, tail: int = 4) -> str: + """키를 가운데를 가린 형태로 표시 (앞8자 …끝4자).""" + if not s: + return "(empty)" + if len(s) <= head + tail: + return repr(s) + return f"{s[:head]}…{s[-tail:]}" + + +def _has_whitespace(s: str) -> bool: + return any(c in s for c in (" ", "\t", "\n", "\r", "\v", "\f")) + + +def diagnose_key(label: str, value: Optional[str]) -> bool: + """키 값 메타 출력. 사용 가능하면 True.""" + v = (value or "") + raw_len = len(v) + stripped = v.strip() + has_ws = _has_whitespace(v) + print(f" • {label:28s} len={raw_len:3d} preview={_safe_preview(stripped)}" + f" whitespace={'YES⚠️ ' if has_ws else 'no '}" + f" {'(empty)' if not stripped else ''}") + return bool(stripped) + + +# ────────────────────────────────────────────────────────────────────── +# 토큰 발급 +# ────────────────────────────────────────────────────────────────────── +def request_token( + appkey: str, + secretkey: str, + mode: str, + timeout: int = 10, +) -> Tuple[bool, dict]: + """ + 키움 토큰 발급 단일 호출. + + Returns: + (success, response_data_dict) + success=True 이면 ``response_data_dict`` 안에 token 이 들어 있음. + """ + if mode not in DOMAINS: + raise ValueError(f"mode must be 'mock' or 'real', got {mode!r}") + + url = f"https://{DOMAINS[mode]}/oauth2/token" + payload = { + "grant_type": "client_credentials", + "appkey": appkey, + "secretkey": secretkey, + } + + try: + resp = requests.post(url, json=payload, timeout=timeout) + except requests.RequestException as e: + return False, {"_exception": str(e), "_url": url} + + try: + data = resp.json() + except ValueError: + return False, {"_status": resp.status_code, "_text": resp.text[:500]} + + data["_status"] = resp.status_code + token = (data.get("token") or data.get("access_token") or "").strip() + return bool(token), data + + +def explain_error(data: dict) -> str: + """에러 응답 → 사람이 읽는 진단 메시지.""" + if "_exception" in data: + return f"네트워크 예외: {data['_exception']}" + + code = str(data.get("return_code", "")).strip() + msg = str(data.get("return_msg", "")).strip() + + if "8001" in msg or code == "3": + return ("[8001] App Key / Secret 검증 실패\n" + " → 키 자체가 잘못되었거나 OpenAPI 신청이 안 된 상태.\n" + " → openapi.kiwoom.com 에서 모의/실전 OpenAPI 신청 여부 확인.\n" + " → 키를 사이트에서 다시 복사해 DB 재등록 (앞뒤 공백 주의).") + if "1700" in msg or code == "5": + return ("[1700] 요청 개수 초과 (au10001 rate limit)\n" + " → 1분 정도 기다렸다가 재시도. 키는 정상일 수 있음.") + if "9999" in msg: + return "[9999] 서버 일시 오류 → 재시도" + return f"기타 오류: code={code} msg={msg}" + + +def run_test(appkey: str, secretkey: str, mode: str, label: str) -> None: + """단일 모드 테스트 + 결과 출력.""" + print(f"\n── [{label}] mode={mode} domain={DOMAINS[mode]} ──") + + if not appkey or not secretkey: + print(f" ⏭ 키 없음 (appkey={'∅' if not appkey else 'OK'}, " + f"secretkey={'∅' if not secretkey else 'OK'}) — 건너뜀") + return + + ok, data = request_token(appkey.strip(), secretkey.strip(), mode) + if ok: + token = data.get("token") or data.get("access_token") + exp_dt = data.get("expires_dt", "?") + exp_in = data.get("expires_in", "?") + print(f" ✅ 발급 성공! token={_safe_preview(token, 8, 4)} " + f"expires_dt={exp_dt} expires_in={exp_in}") + else: + status = data.pop("_status", "?") + print(f" ❌ 발급 실패 HTTP={status}") + print(f" 응답: {json.dumps(data, ensure_ascii=False)}") + print(f" 진단: {explain_error(data)}") + + +# ────────────────────────────────────────────────────────────────────── +# DB 키 로드 +# ────────────────────────────────────────────────────────────────────── +def load_keys_from_db() -> dict: + """ + DB(env_config 최신 스냅샷)에서 키움 4개 키 + 레거시 폴백 + KIS_MOCK 로드. + """ + try: + from database import TradeDB # type: ignore + except ImportError as e: + print(f"⚠️ database 모듈 import 실패: {e}") + return {} + + db_path = SCRIPT_DIR / "quant_bot.db" + try: + db = TradeDB(db_path=str(db_path)) + except TypeError: + db = TradeDB() + + latest = db.get_latest_env() + snap = (latest or {}).get("snapshot") or {} + db.close() + + return { + "KIWOOM_APP_KEY_MOCK": str(snap.get("KIWOOM_APP_KEY_MOCK", "") or ""), + "KIWOOM_APP_SECRET_MOCK": str(snap.get("KIWOOM_APP_SECRET_MOCK", "") or ""), + "KIWOOM_APP_KEY_REAL": str(snap.get("KIWOOM_APP_KEY_REAL", "") or ""), + "KIWOOM_APP_SECRET_REAL": str(snap.get("KIWOOM_APP_SECRET_REAL", "") or ""), + # 레거시 폴백 + "KIWOOM_APP_KEY": str(snap.get("KIWOOM_APP_KEY", "") or ""), + "KIWOOM_APP_SECRET": str(snap.get("KIWOOM_APP_SECRET", "") or ""), + "KIS_MOCK": str(snap.get("KIS_MOCK", "true") or "true"), + } + + +# ────────────────────────────────────────────────────────────────────── +# main +# ────────────────────────────────────────────────────────────────────── +def _prompt_manual_keys() -> Tuple[str, str]: + """ + 인터랙티브 입력 — 키에 ``--`` ``=`` ``$`` ``"`` 같은 특수문자가 있어도 + 셸 escaping 영향 없이 안전하게 받음. secretkey 는 getpass 로 화면 가림. + """ + print("\n📝 인터랙티브 입력 (Enter 로 확정, secretkey 는 화면에 안 찍힘)") + appkey = input(" appkey : ").strip() + secretkey = getpass.getpass(" secretkey: ").strip() + if not appkey or not secretkey: + print("❌ 빈 값은 허용되지 않습니다.") + sys.exit(2) + return appkey, secretkey + + +def main() -> int: + p = argparse.ArgumentParser( + description="키움 OpenAPI 토큰 발급 진단", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=__doc__, + ) + p.add_argument("--key", help='직접 입력할 appkey (값은 "…" 로 감싸길 권장)') + p.add_argument("--secret", help='직접 입력할 secretkey (값은 "…" 로 감싸길 권장)') + p.add_argument("--manual", action="store_true", + help="인터랙티브 입력 모드 (키에 특수문자 있을 때 권장)") + p.add_argument("--mode", choices=("mock", "real", "both"), default="both", + help="테스트 도메인 (default: both)") + args = p.parse_args() + + # ── 인터랙티브 모드 ──────────────────────────────────────────── + if args.manual: + print("=" * 70) + print("🔧 인터랙티브 입력 모드 (DB 무시)") + print("=" * 70) + appkey, secretkey = _prompt_manual_keys() + diagnose_key("입력 APPKEY", appkey) + diagnose_key("입력 SECRETKEY", secretkey) + modes = ("mock", "real") if args.mode == "both" else (args.mode,) + for m in modes: + run_test(appkey, secretkey, m, label=f"입력키→{m.upper()}") + return 0 + + # ── CLI 인자 직접 입력 모드 ───────────────────────────────────── + if args.key or args.secret: + if not (args.key and args.secret): + print("❌ --key 와 --secret 은 함께 지정해야 합니다.\n" + " 특수문자 때문에 까다롭다면 --manual 을 사용하세요.\n" + " 예시: python3 test_kiwoom_token.py --manual --mode real") + return 2 + print("=" * 70) + print("🔧 CLI 인자 입력 모드 (DB 무시)") + print("=" * 70) + diagnose_key("입력 APPKEY", args.key) + diagnose_key("입력 SECRETKEY", args.secret) + modes = ("mock", "real") if args.mode == "both" else (args.mode,) + for m in modes: + run_test(args.key, args.secret, m, label=f"입력키→{m.upper()}") + return 0 + + # ── DB 자동 모드 ────────────────────────────────────────────── + print("=" * 70) + print("🔍 키움 토큰 진단 — DB env_config 최신 스냅샷") + print("=" * 70) + + keys = load_keys_from_db() + if not keys: + print("❌ DB 에서 키를 불러오지 못했습니다.") + return 1 + + print(f"\nKIS_MOCK = {keys['KIS_MOCK']!r} " + f"(코드 정책: 시세는 항상 실키, 단 본 스크립트는 둘 다 시도)") + print("\n📦 DB에 저장된 키 메타:") + diagnose_key("KIWOOM_APP_KEY_MOCK", keys["KIWOOM_APP_KEY_MOCK"]) + diagnose_key("KIWOOM_APP_SECRET_MOCK", keys["KIWOOM_APP_SECRET_MOCK"]) + diagnose_key("KIWOOM_APP_KEY_REAL", keys["KIWOOM_APP_KEY_REAL"]) + diagnose_key("KIWOOM_APP_SECRET_REAL", keys["KIWOOM_APP_SECRET_REAL"]) + if keys["KIWOOM_APP_KEY"] or keys["KIWOOM_APP_SECRET"]: + print(" (레거시 폴백)") + diagnose_key("KIWOOM_APP_KEY", keys["KIWOOM_APP_KEY"]) + diagnose_key("KIWOOM_APP_SECRET", keys["KIWOOM_APP_SECRET"]) + + # ── 호출 ───────────────────────────────────────────────────── + if args.mode in ("mock", "both"): + run_test( + keys["KIWOOM_APP_KEY_MOCK"], + keys["KIWOOM_APP_SECRET_MOCK"], + "mock", + label="MOCK키→모의도메인", + ) + + if args.mode in ("real", "both"): + run_test( + keys["KIWOOM_APP_KEY_REAL"], + keys["KIWOOM_APP_SECRET_REAL"], + "real", + label="REAL키→실전도메인", + ) + + # 레거시 키도 있으면 둘 다 찔러본다 (어느 도메인에서 통하는지 확인) + if keys["KIWOOM_APP_KEY"] and keys["KIWOOM_APP_SECRET"]: + if args.mode in ("mock", "both"): + run_test( + keys["KIWOOM_APP_KEY"], keys["KIWOOM_APP_SECRET"], + "mock", label="LEGACY키→모의도메인", + ) + if args.mode in ("real", "both"): + run_test( + keys["KIWOOM_APP_KEY"], keys["KIWOOM_APP_SECRET"], + "real", label="LEGACY키→실전도메인", + ) + + print("\n" + "=" * 70) + print("✅ 진단 끝") + print("=" * 70) + print("팁:") + print(" • whitespace=YES 가 보이면 → DB 에 공백 섞임. 키 다시 등록 필요.") + print(" • 8001 만 계속 → openapi.kiwoom.com 에서 OpenAPI 신청 여부 확인.") + print(" • 1700 → 1분 후 재시도 (rate limit).") + print(" • 둘 다 실패해도 매매에는 영향 없음 — 갭보정만 비활성됨.") + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/test_psearch.py b/test_psearch.py new file mode 100644 index 0000000..d8cc884 --- /dev/null +++ b/test_psearch.py @@ -0,0 +1,299 @@ +#!/usr/bin/env python3 +""" +test_psearch.py — KIS 종목조건검색 API 응답 확인용 단독 스크립트 +================================================================== +[국내주식] 시세분석 + ① psearch-title (HHKST03900300) — 서버 저장 조건식 목록 조회 + ② psearch-result (HHKST03900400) — 특정 조건식 현재 결과 조회 + +⚠️ KIS 종목조건검색은 **모의투자 미지원**이라 실키(KIS_APP_KEY_REAL / + KIS_APP_SECRET_REAL) + 실전 도메인으로만 호출 가능. + 본 스크립트는 KIS_MOCK 값과 무관하게 항상 실전 키로만 호출한다. + +이 스크립트의 목적: + - 두 API 의 **요청 (URL/헤더/params)** 과 **응답 (status / 응답헤더 / + 원본 JSON)** 을 그대로 찍어서 필드명·구조를 사람이 직접 검증. + - condition_manager 가 파싱하기 전 원본 응답을 보고 매핑 정확도 점검. + +사용: + # 1) 목록만 보고 끝내기 + $ python test_psearch.py --list + + # 2) 목록 출력 후 seq 인터랙티브 입력 + $ python test_psearch.py + + # 3) 특정 seq 결과까지 한 번에 + $ python test_psearch.py --seq 0 + $ python test_psearch.py --seq 3 --user-id mylogin # HTS ID 임시 지정 + +옵션: + --seq <번호> 결과조회 대상 조건식 번호 (없으면 인터랙티브) + --user-id KIS_HTS_ID 대신 임시 지정 (테스트용) + --list 목록(psearch-title)만 호출하고 종료 + --raw 응답 JSON 을 indent 없이 한 줄로 출력 (grep 용이) +""" +from __future__ import annotations + +import argparse +import json +import sys +from pathlib import Path + +SCRIPT_DIR = Path(__file__).resolve().parent +sys.path.insert(0, str(SCRIPT_DIR)) + +# kis_trader 패키지의 검증된 헬퍼들을 그대로 재사용 (별도 토큰/SafeRequest 구현 X) +from kis_trader.execution.kis_client import KISClient # noqa: E402 +from kis_trader.utils.env import get_env_from_db # noqa: E402 + + +# ────────────────────────────────────────────────────────────────── +# 출력 헬퍼 +# ────────────────────────────────────────────────────────────────── +def _mask(s: str, head: int = 6, tail: int = 4) -> str: + """앱키 같은 시크릿을 로그에 찍을 때 앞뒤만 남기고 가린다.""" + if not s: + return "(empty)" + if len(s) <= head + tail: + return "*" * len(s) + return f"{s[:head]}…{s[-tail:]}" + + +def _print_section(title: str) -> None: + print() + print("=" * 78) + print(f" {title}") + print("=" * 78) + + +def _dump_request(url: str, headers: dict, params: dict) -> None: + """요청 정보 출력. authorization/appkey/appsecret 은 마스킹.""" + print(f"[REQUEST]") + print(f" URL : {url}") + print(f" PARAMS : {json.dumps(params, ensure_ascii=False)}") + safe_h = dict(headers) + if "authorization" in safe_h: + tok = safe_h["authorization"].replace("Bearer ", "") + safe_h["authorization"] = "Bearer " + _mask(tok, 8, 6) + if "appkey" in safe_h: + safe_h["appkey"] = _mask(safe_h["appkey"]) + if "appsecret" in safe_h: + safe_h["appsecret"] = _mask(safe_h["appsecret"]) + print(f" HEADERS: {json.dumps(safe_h, ensure_ascii=False)}") + + +def _dump_response(r, raw: bool) -> dict: + """응답 정보 출력 + 파싱한 dict 반환 (실패 시 빈 dict).""" + print(f"[RESPONSE]") + print(f" STATUS : {r.status_code}") + interesting_resp_headers = { + k: v for k, v in r.headers.items() + if k.lower() in ( + "content-type", "tr_id", "tr_cont", "gt_uid", + "rate-limit-remaining", "rate-limit-reset", + ) + } + if interesting_resp_headers: + print(f" HEADERS: {json.dumps(interesting_resp_headers, ensure_ascii=False)}") + + try: + j = r.json() + except Exception as e: + print(f" BODY : ") + print(f" TEXT : {r.text[:1000]}") + return {} + + print(f" rt_cd : {j.get('rt_cd')} (0=정상, 그 외=에러)") + print(f" msg_cd : {j.get('msg_cd')}") + print(f" msg1 : {j.get('msg1')}") + print() + print("[RAW BODY]") + if raw: + print(json.dumps(j, ensure_ascii=False)) + else: + print(json.dumps(j, ensure_ascii=False, indent=2)) + return j + + +# ────────────────────────────────────────────────────────────────── +# 핵심: 두 API 호출 (raw) +# ────────────────────────────────────────────────────────────────── +def call_psearch_title(client: KISClient, user_id: str, raw: bool) -> list: + """ + psearch-title (HHKST03900300) 호출 + 응답 출력. + Returns: parsed output2 list (사용자가 보기 쉽게 seq/이름 표 만들기용) + """ + _print_section("① psearch-title — 서버 저장 조건식 목록") + path = "/uapi/domestic-stock/v1/quotations/psearch-title" + tr_id = "HHKST03900300" + params = {"user_id": user_id} + headers = client._headers(tr_id) + url = client.base_url + path + + _dump_request(url, headers, params) + r = client._get(path, tr_id, params) + j = _dump_response(r, raw) + + out2 = j.get("output2") or [] + if isinstance(out2, dict): + out2 = [out2] + + if out2: + print() + print("[요약 — 사용자에게 의미 있는 필드만]") + print(f" 총 {len(out2)}건") + # KIS 실제 응답 키: condition_nm / grp_nm + # (문서엔 condition_name 처럼 적힌 자료가 많아 폴백 후보 다중 적용) + print(" ┌─────┬──────────────────────────────┬────────────────────┐") + print(" │ seq │ condition_nm │ grp_nm │") + print(" ├─────┼──────────────────────────────┼────────────────────┤") + for row in out2: + seq = str(row.get("seq", "?"))[:3].rjust(3) + nm = ( + row.get("condition_nm") + or row.get("condition_name") + or row.get("cond_nm") + or "" + ) + grp = (row.get("grp_nm") or row.get("group_nm") or "") + print( + f" │ {seq} │ {str(nm)[:28].ljust(28)} │ " + f"{str(grp)[:18].ljust(18)} │" + ) + print(" └─────┴──────────────────────────────┴────────────────────┘") + return out2 + + +def call_psearch_result( + client: KISClient, user_id: str, seq: str, raw: bool, +) -> list: + """ + psearch-result (HHKST03900400) 호출 + 응답 출력. + Returns: parsed output2 list + """ + _print_section(f"② psearch-result — 조건식 결과 (seq={seq})") + path = "/uapi/domestic-stock/v1/quotations/psearch-result" + tr_id = "HHKST03900400" + params = {"user_id": user_id, "seq": str(seq)} + headers = client._headers(tr_id) + url = client.base_url + path + + _dump_request(url, headers, params) + r = client._get(path, tr_id, params) + j = _dump_response(r, raw) + + out2 = j.get("output2") or [] + if isinstance(out2, dict): + out2 = [out2] + + if out2: + print() + print("[요약 — 가능한 키 후보 모두 시도해서 추출]") + print(f" 총 {len(out2)}종목") + print(" ┌────────┬──────────────────────────────┬──────────────┐") + print(" │ code │ name │ price │") + print(" ├────────┼──────────────────────────────┼──────────────┤") + for it in out2[:50]: # 상위 50개만 + code = ( + it.get("code") or it.get("stck_shrn_iscd") + or it.get("mksc_shrn_iscd") or "" + ) + name = ( + it.get("name") or it.get("hts_kor_isnm") or "" + ) + price = ( + it.get("stck_prpr") or it.get("price") or "" + ) + print( + f" │ {str(code)[:6].ljust(6)} │ " + f"{str(name)[:28].ljust(28)} │ " + f"{str(price)[:12].rjust(12)} │" + ) + if len(out2) > 50: + print(f" …(이하 {len(out2) - 50}종목 생략)") + print(" └────────┴──────────────────────────────┴──────────────┘") + return out2 + + +# ────────────────────────────────────────────────────────────────── +# 메인 +# ────────────────────────────────────────────────────────────────── +def main() -> int: + parser = argparse.ArgumentParser( + description="KIS 종목조건검색(psearch-title / psearch-result) 응답 확인", + ) + parser.add_argument("--seq", help="조건식 번호 (지정 시 결과조회까지 자동 실행)") + parser.add_argument("--user-id", help="KIS_HTS_ID 대신 임시 지정") + parser.add_argument("--list", action="store_true", help="목록만 호출하고 종료") + parser.add_argument("--raw", action="store_true", help="응답 JSON 을 한 줄로 출력") + args = parser.parse_args() + + # ── HTS ID 결정 ── + user_id = (args.user_id or get_env_from_db("KIS_HTS_ID", "") or "").strip() + if not user_id: + print("❌ KIS_HTS_ID 미설정.") + print(" update_env_simple.py 로 KIS_HTS_ID 를 DB 에 저장하거나,") + print(" --user-id 옵션으로 임시 지정하세요.") + return 1 + + # ── 실키 검증 (모의 미지원) ── + real_key = (get_env_from_db("KIS_APP_KEY_REAL", "") or "").strip() + real_secret = (get_env_from_db("KIS_APP_SECRET_REAL", "") or "").strip() + if not real_key or not real_secret: + print("❌ KIS_APP_KEY_REAL / KIS_APP_SECRET_REAL 미설정.") + print(" psearch 는 모의투자 미지원이라 실키가 필수입니다.") + return 1 + + print(f"🔑 KIS_APP_KEY_REAL : {_mask(real_key)}") + print(f"🔑 KIS_APP_SECRET : {_mask(real_secret)}") + print(f"🪪 KIS_HTS_ID : {user_id}") + + # ── 실전 도메인 KISClient (mock=False 강제) ── + try: + client = KISClient( + mock=False, + app_key=real_key, + app_secret=real_secret, + account_no=(get_env_from_db("KIS_ACCOUNT_NO_REAL", "") or "").strip(), + account_code=(get_env_from_db("KIS_ACCOUNT_CODE_REAL", "01") or "01").strip(), + ) + except Exception as e: + print(f"❌ KISClient 초기화 실패: {e}") + return 1 + + if not client._token: + print("❌ 접근토큰 발급 실패. kis_token_manager 로그/실키 유효성을 확인하세요.") + return 1 + print(f"🎫 access_token : {_mask(client._token, 10, 6)}") + print(f"🌐 base_url : {client.base_url}") + + # ── ① 조건식 목록 ── + titles = call_psearch_title(client, user_id, args.raw) + + if args.list: + return 0 + + # ── seq 결정 ── + seq = (args.seq or "").strip() if args.seq else "" + if not seq: + if not titles: + print() + print("⚠️ 조건식 목록이 비어 결과조회 단계로 진행할 수 없습니다.") + print(" HTS/MTS 에 먼저 조건식을 저장한 뒤 다시 실행하세요.") + return 0 + print() + try: + seq = input(f"조회할 seq 입력 (예: {titles[0].get('seq', '0')}, 비우면 종료) > ").strip() + except EOFError: + seq = "" + if not seq: + print("⏹ 사용자 취소") + return 0 + + # ── ② 조건식 결과 ── + call_psearch_result(client, user_id, seq, args.raw) + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/update_env_simple.py b/update_env_simple.py index 0965727..9019351 100644 --- a/update_env_simple.py +++ b/update_env_simple.py @@ -53,157 +53,20 @@ def update_env(updates): if __name__ == "__main__": # 여기에 업데이트할 값들을 딕셔너리로 넣으세요 my_updates = { - # 한투 API 설정 - #"KIS_MOCK": "true", - #"KIS_APP_KEY_REAL": "PSUT2l4CO94DjrwDa2EAnEl639YXnWHdbbkN", # 여기에 앱키 입력 - #"KIS_APP_SECRET_REAL": "2SkPBKrztpBomcR+pYNEBuVa5/iSqYLQxsDn/YqJuQ0dULp/GqTAePhe4czJHuf/1XBUd18KDV6ZTrmxfI8eTiCfIEaO6jMKSq0u+CoUkHTrO9TfliYtxsNbl43jL+rokLB54V2VmHrlqM4WCF+54bMWhzzSE7z3OOl67V9yWKCWIoTrcYg=", - #"KIS_APP_KEY_MOCK": "PSdfKtsMihgC9tLiUr2XISscuR3fHxl6kvmV", # 여기에 앱키 입력` - # 리스크매니저: 종목당 원화 상한(50만) + 종목당 최대 비중(1.5%) -# "SLOT_BASE_AMOUNT_CAP": "500000", - # "MAX_POSITION_PCT": "0.05", - #"KIS_APP_SECRET_MOCK": "Ip+XZrZcoz11thgDD40XS8i6R1AalYkKFZwg2w8+ZMulVKN8rJVXiqGONxc4EYxw1S3TgOcx7fSldDc6EGq63bprfbgHwKfalse29Zm "USE_MARKET_IOC": "false",ovmza9+Ylqd8/EtjFGNmhQHWocyTAm8kdp5IG6tFtc=", # 여기에 앱시크릿 입력 - # "FORCE_BUY_TEST": "false", - # "USE_MARKET_IOC": "false", - # "KIS_ACCOUNT_NO_REAL": "44030801", - # "KIS_ACCOUNT_NO_MOCK": "50166974", - # "KIS_ACCOUNT_NO_MOCK": "44030801", - # "KIS_ACCOUNT_NO_MOCK": "50169256", - # "KIS_ACCOUNT_CODE_REAL": "01", - # "KIS_ACCOUNT_CODE_MOCK": "01", - #"MM_BOT_TOKEN_": "5o4bfsqo97dedyq7599wz6joie", - #"TAKE_PROFIT_PCT_LONG": "0.010", - #"MIN_DROP_RATE": "0.015", - #"MIN_RECOVERY_RATIO": 0.35, - #"MIN_DROP_RATE": 0.02 - # "TAIL_RATIO_MIN": "0.85", - #"TAIL_PCT_MIN": "0.002" - # "TAKE_PROFIT_PCT":"0.012", - - # "SHOULDER_CUT_PCT":"0.009", - - # "MIN_RECOVERY_RATIO":"0.5", - - # "MIN_RECOVERY_RATIO_SHORT" : "0.10", - # "MIN_DROP_RATE":"0.003", - # "SHOULDER_CUT_PCT":"0.012", - # "TAKE_PROFIT_PCT":"0.018", - # "SHOULDER_MIN_HIGH_PCT":"0.2", - # "MIN DROP_RATE":"0.015" - - # "STOP_LOSS_PCT":"0.007", - # "MIN_DROP_RATE":"0.008", - # "MIN_RECOVERY_RATIO_SHORT":"0.30", - # "SHOULDER_MIN_HIGH_PCT":"0.2", - - - # "MAX_LOSS_PER_TRADE_KRW":"150000", - # # STOP_LOSS_PCT를 음수로 사용하면 '손실일 때만' 칼손절이 걸립니다. - # # 예: -0.007 → 수익 구간(+0.x%)에서는 칼손절이 아니라 다른 익절/보호 로직이 우선 적용되고, - # # 손실이 -0.7% 이하로 커졌을 때만 profit_pct <= STOP_LOSS_PCT 조건이 발동합니다. - # "STOP_LOSS_PCT":"-0.007", - # "TAIL_RATIO_MIN":"0.8", - # "SHOULDER_CUT_PCT":"0.018", - # # 작은수익보호 완화: 고점이 매수가 대비 1.2% 이상 올랐을 때만, - # # 현재가가 매수가 대비 +0.05% 이하로 되밀리면 보호 매도. - # # (이전 기본: 고점 +0.5% / 현재가 +0.15% → 너무 빨리 잘려 나가던 구간을 완화) - # "QUICK_PROFIT_PROTECT_HOURS":"0.5", - # "QUICK_PROFIT_MAX_RATIO":"1.012", - # "QUICK_PROFIT_CURRENT_MIN":"1.0005" - - - # "ANTHROPIC_API_KEY":"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" - - # "KIS_WS_URL_REAL":"ws://ops.koreainvestment.com:21000", - # "KIS_WS_URL_MOCK":"ws://ops.koreainvestment.com:31000", - # "KIS_WS_MOCK_ENABLED":"true", - # "REENTRY_COOLDOWN_SEC":"300", - # "SELL_FAILURE_BACKOFF_SEC":"1800", - # "LONG_NEWS_ENABLED":"true", - - # "SCALP_ATR_UP_MULT": "2.0", - # "SCALP_ATR_DOWN_MULT": "0.8", - # "SCALP_ATR_DROP_MULT": "1.5", - - # ── 스캘핑봇 전용 ────────────────────────────────────────────── - # "SCALP_RSI_OVERSOLD": "25.0", # 과매도 임계값 (기본 25) - # "SCALP_RSI_OVERBOUGHT": "75.0", # 과매수 진입 금지 임계값 - # "SCALP_CANDLE_TIMEFRAME": "1", # 봉 단위(분): 1 또는 3 권장 - # "SCALP_MARKET_OPEN_WAIT_MIN": "5", # 장 시작 후 대기(분) - # "SCALP_GAP_FILL_LIMIT": "100", # WS 재접속 후 갭보정 캔들 수 - # "SCALP_MIN_VOLUME": "1000", # 봉당 최소 거래량 - # "KIS_SCALP_MM_CHANNEL": "kis-scalping", # 스캘핑봇 MM 채널 - # "SCALP_CANDLE_KEEP_DAYS": "3", # ws_candles 보존 일수 - # ── 스캘핑 전용 손익절/낙폭 (꼬리잡기와 완전 분리) ────────────── - # 1분봉 초단타: 손절-4%/익절+5%는 도달 불가 → 박리다매로 빠르게 끊어냄 - # SCALP_STOP_LOSS_PCT : 손절 % (양수 입력, 기본 1.5%) - # SCALP_TAKE_PROFIT_PCT: 익절 % (양수 입력, 기본 1.5%) - # SCALP_MIN_DROP_RATE : 당일 낙폭 필터 % (기본 1.5%, 꼬리잡기 3%보다 완화) - # "SCALP_STOP_LOSS_PCT": "0.015", # 1.5% 손절 - # "SCALP_TAKE_PROFIT_PCT": "0.015", # 1.5% 익절 - # "SCALP_MIN_DROP_RATE": "0.015", # 1.5% 낙폭 이상만 진입 - - # ── 단타봇(kis_short_ver2) 전용 ──────────────────────────────── - # "USE_KELLY_FORMULA": "true", # 켈리 공식 사용 여부 - # "KELLY_MULTIPLIER": "0.25", # 켈리 25% (보수적) - # "USE_MARKET_IOC": "true", # 시장가 IOC 주문 - # "KIS_PRICE_CACHE_TTL_SEC": "1.0", # 실시간 가격 캐시 유효기간(초) - # "SHORT_GAP_FILL_LIMIT": "100", # 갭보정 분봉 캔들 수 - # "MIN_HOLD_AFTER_BUY_SEC": "30.0", # 매수 직후 최소 보유(초) - # "MIN_HOLD_HOURS": "24.0", # 최소 보유(시간) - # "MAX_RECOVERY_RATIO_3M": "0.8", # 3개월 회복 80% 이하만 편입 - # "CANDIDATE_LIST_TOP_N_LIGHT": "20", # 1차 경량 체크 상위 N개 - # "SCAN_UNIVERSE_MAX_CODES": "150", # 유니버스 최대 종목 수 - # "TAIL_CANDLE_LOOKBACK": "5", # 꼬리 패턴 인식 lookback 봉수 - - # ── 공통 자산/슬롯 ─────────────────────────────────────────────── - # "TOTAL_DEPOSIT": "500000000", # 총 입금액 (원) → 누적손익% 계산에 사용 - # "SLOT_MONEY_DEFAULT": "300000", # 슬롯당 기본 투자금 (원) - # "ROUND_TRIP_COST_PCT": "0.003", # 왕복 수수료 0.3% - # "POP_NET_PCT": "0.005", # 익절 보호 0.5% - # "LOCK_NET_PCT": "0.010", # 잠금 수익 1.0% - - # ── mm_butler / AI ────────────────────────────────────────────── - # "GEMINI_MODEL_ID": "gemini-2.5-flash", # Gemini 모델 ID - # "MM_BUTLER_POLL_SEC": "15", # MM 폴링 주기(초) - # "AI_SOURCE_MAX_CHARS": "120000", # AI 입력 최대 문자 수 - - # ── 유니버스 스캐너 ───────────────────────────────────────────── - # "UPDATE_UNIVERSE_TOP_N": "20", # 저장할 상위 N개 - # "UPDATE_UNIVERSE_MIN_SCORE": "4.0", # 최소 강도 점수 - # "SCAN_INTERVAL_SEC": "300", # 스캔 주기(초) - - # ── 수수료·거래세 (전략 공통) ──────────────────────────────────── - # 위탁수수료: 매수·매도 각각 0.015% (KIS 온라인 기본) - # 증권거래세: 2025년 기준 코스피·코스닥 공통 0.18% (매도 시만 부과) - # 왕복 총비용 = 0.015%(매수) + 0.015%(매도) + 0.18%(거래세) = 약 0.21% - "FEE_RATE_PCT": "0.015", - "SELL_TAX_RATE_PCT": "0.18", - # ── 스캘핑 본절 방어 ───────────────────────────────────────────── - # 트레일링 발동 최소 수익률(%): 고점이 매수가 대비 이만큼 올라야 트레일링 활성화 - # 수수료(~0.21%) + 마진(0.2%) + 트레일링폭(0.8%) = 최소 1.2% 이상 권장 - "SCALP_TRAIL_TRIGGER_PCT": "1.5", - # 본절사수 시 최소 순이익(%): 수수료+세금 위에 추가 확보 (0이면 본절, 0.2면 +0.2%) - "SCALP_MIN_PROFIT_PCT": "0.2", - # 스캘핑 전용 재진입 쿨다운(초): 매도 후 같은 종목 N초 동안 재매수 차단 (600=10분, 백테스트 cooldown_min과 동일하게) - "SCALP_COOLDOWN_SEC": "600", - - # 키움증권 REST API 키 — 실전/모의 분리 (KIS_MOCK 설정에 따라 자동 선택) - "KIWOOM_APP_KEY_REAL": "2HX8cA7AkrZsF7zBrMQXbFASvkKOkHtxh4-eia56hjo", - "KIWOOM_APP_SECRET_REAL": "XaNENlYjQrwhT18h-EwKGonq-R4PpW-sT7s_-F9q3Nk", - # 모의 키가 있으면 아래 주석 해제 후 입력 - # "KIWOOM_APP_KEY_MOCK": "모의앱키입력", - # "KIWOOM_APP_SECRET_MOCK": "모의시크릿입력", - # 레거시 키 (이전 버전 호환, REAL/MOCK 키 없을 때 폴백) - "KIWOOM_APP_KEY": "2HX8cA7AkrZsF7zBrMQXbFASvkKOkHtxh4-eia56hjo", - "KIWOOM_APP_SECRET": "XaNENlYjQrwhT18h-EwKGonq-R4PpW-sT7s_-F9q3Nk", - - # ── 영구 구독 ETF (시장 방향 필터) ──────────────────────────────── - # 스캘핑/꼬리잡기 봇이 이 ETF를 항상 구독 → 60분봉 RSI로 상승장/하락장 판단 - # KODEX200(069500) = 코스피 대표, KODEX KOSDAQ150(229200) = 코스닥 대표 - # 콤마 구분, 추가하려면 섹터 ETF 코드도 넣으면 됨 (예: 반도체 ETF 091160) - "PERMANENT_WS_CODES": "069500,229200", + # ── 시세/조회 = 항상 실키 정책 (코드 패치 B안과 짝) ── + # main.py 의 _build_market_client() 가 시세 전용 실키 KISClient 를 만들어 + # ws/전략/조건/랭킹에 주입함. KIS_MOCK 은 매매·계좌(주문/잔고)에만 적용. + # "KIWOOM_MOCK": "false", # 키움도 시세만 받으니 실키 + # # 키움이 죽어도 실키 KIS 로 안전 폴백 (모의 도메인 호출이 없으므로 500 안 남) + # "WS_GAP_FILL_KIS_FALLBACK": "true", + # 시장 급락 서킷브레이커 — 처음엔 false 로 두고 1~2주 모니터 후 true + "MARKET_GUARD_ENABLED": "false", # ← 검증 끝나면 "true" + "MARKET_GUARD_5MIN_DROP_PCT": "2.0", # 5분 -2% 하락 → PANIC + "MARKET_GUARD_DAILY_DROP_PCT": "3.0", # 일중 -3% 하락 → PANIC + "MARKET_GUARD_RECOVERY_PCT": "1.0", # 5분 +1% 반등 → 해제 + "MARKET_GUARD_INDEX_CODE": "both", # KOSPI + KOSDAQ 둘 다 감시 + "MARKET_GUARD_POLL_SEC": "30", # 30초마다 지수 조회 } - if not my_updates: print("⚠️ 업데이트할 값이 없습니다.") print(" update_env_simple.py 파일을 열어서 my_updates 딕셔너리에 값을 입력하세요.") diff --git a/키움 REST API 문서.pdf b/키움 REST API 문서.pdf new file mode 100644 index 0000000..8652165 --- /dev/null +++ b/키움 REST API 문서.pdf @@ -0,0 +1,742822 @@ +%PDF-1.3 +%߬ +3 0 obj +<> +endobj +4 0 obj +<< +/Length 56410 +>> +stream +0.5670000000000001 w +0. G +0. G +0.5670000000000001 w +0. 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All Rights Reserved.Malgun Gothic is a Korean font developed by taking advantage of ClearType technology, and it provides excellent reading experience particularly onscreen. Its elements are created based on the typeface of Hunminjeongeum, and streamlined with modern form of characters as well as upright and well-regulated strokes. The font is very legible at small sizes with its moderate open counters, and its even inter-character spacing and visual center line maximize the readability. + +Malgun Gothic RegularVersion 5.00MalgunGothicRegularMalgun Gothic is either a registered trademark or a trademark of Microsoft Corporation in the United States and/or other countries.Kyoung-bae Lee; Daekwon Kimhttp://www.microsoft.com/typography/fontshttp://www.sandoll.co.krNOTIFICATION OF LICENSE AGREEMENT + +You may use this font to display and print content as permitted by the license terms for the product in which this font is included. 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${i+1}${p.rsi_oversold}${p.sl_pct}${p.tp_pct}${p.drop_rate}${p.rsi_oversold}${p.rsi_overbought ?? 75}${p.sl_pct}${p.tp_pct}${p.drop_rate}${String(p.use_defense_filters) === '0' ? 'OFF' : 'ON'} ${r.total_pnl?.toLocaleString()} ${r.win_rate?.toFixed(1)}%${r.total_trades} ${r.pf?.toFixed(2)}${Math.round(r.mdd)?.toLocaleString()}
${t.code}${nameCell} ${bt.slice(0,4)+'-'+bt.slice(4,6)+'-'+bt.slice(6,8)+' '+bt.slice(8,10)+':'+bt.slice(10,12)} ${st.slice(0,4)+'-'+st.slice(4,6)+'-'+st.slice(6,8)+' '+st.slice(8,10)+':'+st.slice(10,12)} ${fmt(t.buy_price)}
${t.code}${nameCell} ${fmtCT(entry)} ${fmtCT(exit)} ${fmt(ep)}