Files
kis_bot/kis_trader/backtest/range_break_backtest_common.py
2026-07-30 18:05:07 +09:00

240 lines
8.3 KiB
Python

#!/usr/bin/env python3
"""
박스권 돌파(RANGE_BREAK) 백테스트 공통 로더 — backtest_web / param_search 단일 진입점.
"""
from __future__ import annotations
from typing import Any, Dict, List, Optional, Tuple
from kis_trader.backtest.backtest_portfolio_common import (
attach_scalp_trade_pnl,
backtest_slip_pct,
build_budget_warning,
fee_and_slot_from_env_row,
merge_portfolio_into_params,
min_invest_ratio_of_slot,
resolve_portfolio_params,
summarize_trades,
)
from kis_trader.backtest.breakout_tick_loader import (
load_breakout_ticks_by_code,
tick_coverage_stats,
)
from kis_trader.engine.range_break_engine import (
RANGE_BREAK_STRATEGY_ID,
range_break_min_bars_required,
run_range_break_backtest,
)
from kis_trader.engine.tick_exit_common import strategy_use_tick_exit
RANGE_BREAK_STRATEGY_ID = RANGE_BREAK_STRATEGY_ID # noqa: F811 — re-export
def date_keys(start: str, end: str) -> Tuple[str, str, str, str]:
start_key = start.replace("-", "") + "0000"
end_key = end.replace("-", "") + "2359"
return start_key, end_key, start_key[:8], end_key[:8]
def resolve_range_break_universe(
start_ymd: str,
end_ymd: str,
*,
use_saved_history: bool,
strategy_id: str = RANGE_BREAK_STRATEGY_ID,
) -> Tuple[Optional[Dict[str, List[str]]], str, int, int]:
if use_saved_history and strategy_id:
try:
from kis_trader.database.db_manager import get_db as _get_ext_db
from kis_trader.backtest.universe_timeline import (
universe_exit_debounce_sec_for_strategy,
)
history = _get_ext_db().get_universe_by_candle_time(
strategy_id=strategy_id,
start_ymd=start_ymd,
end_ymd=end_ymd,
exit_debounce_sec=universe_exit_debounce_sec_for_strategy(strategy_id),
)
if history:
return history, "history", len(history), 1
except Exception:
pass
return None, "all", 0, 1
def load_range_break_candles_by_code(
db,
start_key: str,
end_key: str,
params: Optional[Dict[str, Any]] = None,
) -> Tuple[Dict[str, List[Dict]], int]:
"""ws_candles 1분봉 전 종목 로드."""
p = dict(params or {})
min_bars = range_break_min_bars_required(p)
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]
candles_by_code: Dict[str, List[Dict]] = {}
total_candles = 0
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) < min_bars:
continue
candles_by_code[code] = [dict(r) for r in rows]
total_candles += len(rows)
return candles_by_code, total_candles
def run_range_break_backtest_web_aligned(
candles_by_code: Dict[str, List[Dict]],
params: Dict[str, Any],
universe_by_slot: Optional[Dict[str, List[str]]],
*,
slot_money: float,
fee_rate: float,
sell_tax: float,
max_stocks: Optional[int] = None,
total_budget_krw: Optional[float] = None,
meta_out: Optional[Dict[str, Any]] = None,
ticks_by_code: Optional[Dict[str, Dict[str, List[Dict]]]] = None,
) -> List[Dict]:
engine_params = dict(params)
engine_params["slot_money"] = float(slot_money)
if max_stocks is not None:
engine_params["max_stocks"] = int(max_stocks)
if total_budget_krw is not None:
tb = float(total_budget_krw)
engine_params["total_budget_krw"] = tb if tb > 0 else float(
int(engine_params.get("max_stocks") or 3) * slot_money
)
if universe_by_slot is not None:
engine_params.setdefault("scan_interval_min", 1)
engine_params.setdefault("portfolio_mode", True)
from kis_trader.backtest.backtest_env_timeline import attach_backtest_env_timeline_to_params
attach_backtest_env_timeline_to_params(engine_params, meta_out, "RANGE_BREAK")
loaded_ticks: Dict[str, Dict[str, List[Dict]]] = dict(ticks_by_code or {})
tick_meta: Dict[str, Any] = {}
if strategy_use_tick_exit(engine_params, "RANGE_BREAK_BACKTEST_USE_TICK_EXIT", default=True):
if not loaded_ticks and meta_out is not None:
start_key = str(meta_out.get("start_key") or "")
end_key = str(meta_out.get("end_key") or "")
db = meta_out.get("db")
if db is None and start_key and end_key:
from kis_trader.backtest.backtest_portfolio_common import ensure_meta_db
db = ensure_meta_db(meta_out)
if db and start_key and end_key:
loaded_ticks, tick_rows = load_breakout_ticks_by_code(
db, start_key, end_key, set(candles_by_code.keys()),
)
tick_meta = tick_coverage_stats(candles_by_code, loaded_ticks)
tick_meta["ws_tick_rows_loaded"] = tick_rows
if tick_rows <= 0:
from kis_trader.utils.logger import get_logger as _get_logger
_get_logger("kis_trader.range_break_backtest").warning(
"⚠️ ws_ticks 데이터 없음 — RANGE_BREAK 틱 청산 스킵 "
"(틱 수집 후 재백테 권장, FALLBACK_OHLC=1 시 OHLC)",
)
elif loaded_ticks:
tick_meta = tick_coverage_stats(candles_by_code, loaded_ticks)
tick_meta["ws_tick_rows_loaded"] = sum(
len(lst) for cm in loaded_ticks.values() for lst in cm.values()
)
trades = run_range_break_backtest(
candles_by_code,
engine_params,
universe_by_slot=universe_by_slot,
ticks_by_code=loaded_ticks or None,
)
attach_scalp_trade_pnl(
trades, fee_rate=fee_rate, sell_tax=sell_tax,
slip_pct=backtest_slip_pct(engine_params),
)
if meta_out is not None:
skip_stats = engine_params.get("_portfolio_skip_stats") or {}
meta_out["skip_stats"] = dict(skip_stats)
meta_out["engine_params"] = engine_params
if tick_meta:
from kis_trader.backtest.breakout_tick_loader import enrich_tick_meta_with_traded_codes
tick_meta = enrich_tick_meta_with_traded_codes(
tick_meta, candles_by_code, loaded_ticks, trades,
)
meta_out["tick_backtest"] = tick_meta
if tick_meta.get("ws_tick_rows_loaded", 0) > 0:
meta_out["backtest_buy_source"] = "ws_ticks"
else:
meta_out["backtest_buy_source"] = "ohlc_fallback"
else:
meta_out["backtest_buy_source"] = "align"
return trades
def resolve_range_break_portfolio_params(
env_row: Optional[Dict[str, Any]],
base_defaults: Optional[Dict[str, Any]] = None,
*,
slot_money: Optional[float] = None,
max_stocks: Optional[int] = None,
total_budget_krw: Optional[float] = None,
) -> Dict[str, Any]:
return resolve_portfolio_params(
env_row,
base_defaults,
strategy="RANGE_BREAK",
slot_money=slot_money,
max_stocks=max_stocks,
total_budget_krw=total_budget_krw,
)
def merge_range_break_portfolio_into_params(
params: Dict[str, Any],
portfolio: Dict[str, Any],
) -> Dict[str, Any]:
return merge_portfolio_into_params(params, portfolio)
def build_range_break_budget_warning(
portfolio: Dict[str, Any],
skip_stats: Optional[Dict[str, Any]] = None,
) -> Optional[str]:
ratio = min_invest_ratio_of_slot({}, strategy="RANGE_BREAK")
return build_budget_warning(portfolio, skip_stats, min_invest_ratio=ratio)
def summarize_range_break_trades(
trades: List[Dict],
*,
total_budget_krw: float,
period_days: int = 1,
) -> Dict[str, Any]:
return summarize_trades(
trades,
total_budget_krw=total_budget_krw,
period_days=period_days,
)
def fee_and_slot_from_env(
row: Optional[Dict[str, Any]],
) -> Tuple[float, float, float]:
return fee_and_slot_from_env_row(row, strategy="RANGE_BREAK")