Files
kis_bot/scripts/mom_bt_one_day_trial120.py
Your Name 8fbba264ba feat(옵투나·웹): 후처리 재탐색·ob_modes·적용감사·수집통계
- Optuna web jobs/TPE/apply snapshot·틱로더 정합, jobs limit·감사로그
- 백테 UI 호가모드·후보 적용 흐름, feed_collect_stats API/탭
- 가설검증·교차검증 룰, 4전략 스모크·OB slot41 진단 스크립트

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-27 15:23:44 +09:00

147 lines
4.5 KiB
Python

#!/usr/bin/env python3
"""Apply trial#120 params → 1일 모멘텀 백테 (호가 ON). DB 미변경."""
from __future__ import annotations
import json
import sys
import time
from pathlib import Path
_ROOT = Path(__file__).resolve().parents[1]
if str(_ROOT) not in sys.path:
sys.path.insert(0, str(_ROOT))
def main() -> int:
t0 = time.time()
start = end = "2026-08-25"
out_json = _ROOT / "logs" / "mom_bt_20260825_trial120_ob_on.json"
print(f"start prepare {start} OB=on", flush=True)
from database import TradeDB
from kis_trader.backtest.optuna_momentum import prepare_momentum_search_context
from kis_trader.backtest.param_search_momentum import evaluate_momentum_param_combo
db = TradeDB()
row = db.conn.execute(
"SELECT payload_json FROM optuna_study_result WHERE study_name=%s",
("momentum_tpe_20260818_20260821_20260823_192516",),
).fetchone()
payload = json.loads(row["payload_json"])
t120 = next(x for x in payload["results_gated"] if x.get("optuna_trial_number") == 120)
combo = dict(t120["params"])
print(
"trial120 ob=%s whip=%s sl=%s tp=%s" % (
combo.get("_orderbook_filter_enabled"),
combo.get("whipsaw_enabled"),
combo.get("sl_pct"),
combo.get("tp_pct"),
),
flush=True,
)
ctx = prepare_momentum_search_context(
start,
end,
"tpe",
orderbook_filter="on",
market="KR",
)
if ctx is None:
print("PREPARE FAILED", flush=True)
return 1
print(
"ctx ready codes=%d ticks=%s ob_codes=%d fee=%s slot=%s max=%s budget=%s"
% (
len(ctx.codes_candles),
bool(ctx.ticks_by_code),
len(ctx.orderbook_by_code or {}),
ctx.fee_rate,
ctx.slot_money,
ctx.max_stocks,
ctx.total_budget_krw,
),
flush=True,
)
base = dict(ctx.base_fixed)
base["_orderbook_filter_enabled"] = True
base["ob_filter_enabled"] = True
grid_keys = list(payload.get("grid_keys") or [])
if not grid_keys:
grid_keys = [k for k in combo.keys() if not str(k).startswith("_")]
result = evaluate_momentum_param_combo(
combo,
base_fixed=base,
grid_keys=grid_keys,
codes_candles=ctx.codes_candles,
min_trades=0,
min_win_rate=0.0,
min_pf=0.0,
universe_by_slot=ctx.universe_by_slot,
slot_money=ctx.slot_money,
max_stocks=ctx.max_stocks,
total_budget_krw=ctx.total_budget_krw,
fee_rate=ctx.fee_rate,
sell_tax=ctx.sell_tax,
period_days=1,
cache_holder=ctx.cache_holder,
ticks_by_code=ctx.ticks_by_code,
orderbook_by_code=ctx.orderbook_by_code,
program_by_code=getattr(ctx, "program_by_code", None),
start_key="20260825",
end_key="20260825",
include_trades=True,
)
print("elapsed_sec", round(time.time() - t0, 1), flush=True)
if not result:
print("NO RESULT", flush=True)
return 2
trades = result.get("_trades") or result.get("trades") or []
out = {
"ok": True,
"date": start,
"source": "optuna trial#120 + prepare orderbook_filter=on",
"study": "momentum_tpe_20260818_20260821_20260823_192516",
"total_trades": result.get("total_trades"),
"win_rate": result.get("win_rate"),
"total_pnl": result.get("total_pnl"),
"pf": result.get("pf"),
"trades": trades,
}
print(
"RESULT trades=%s WR=%s PnL=%s PF=%s"
% (out["total_trades"], out["win_rate"], out["total_pnl"], out["pf"]),
flush=True,
)
for tr in trades:
code = str(tr.get("code") or "")
line = (
" %s->%s %s %s pnl=%s entry=%s exit=%s"
% (
tr.get("buy_time") or tr.get("entry_time"),
tr.get("sell_time") or tr.get("exit_time"),
code,
tr.get("sell_reason"),
tr.get("pnl"),
tr.get("entry_price") or tr.get("buy_price"),
tr.get("exit_price") or tr.get("sell_price"),
)
)
print(line, flush=True)
if code == "417010":
print(" *** NANOTEAM IN BACKTEST ***", flush=True)
out_json.write_text(json.dumps(out, ensure_ascii=False, indent=2, default=str))
print("JSON", out_json, flush=True)
print("DONE", flush=True)
return 0
if __name__ == "__main__":
raise SystemExit(main())