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

304 lines
12 KiB
Python

"""
kis_trader/strategies/range_break.py — 박스권 돌파(RANGE_BREAK) 실매 전략
====================================================================
[SCAN] HTS momentum 조건(F·G·J) — 오늘 거래 활발 종목 풀
[TRIGGER] 횡보 박스 → 거래량 폭발 양봉으로 박스 상단 돌파 시 진입 (10:30~15:20)
"""
from __future__ import annotations
from datetime import datetime as dt
from typing import Dict, List, Optional
from ..engine import range_break_engine as rbe
from ..utils.env import get_env_bool, get_env_int
from .base import BaseStrategy
class RangeBreakStrategy(BaseStrategy):
"""박스권 돌파 — 오후 횡보 후 squeeze 돌파."""
strategy_id = "RANGE_BREAK"
loop_min_sleep = 1.0
loop_max_sleep = 2.0
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.candle_tf = 1
self._engine_params: Optional[Dict] = None
self.reload_config()
def reload_config(self) -> None:
try:
base = rbe.get_range_break_defaults_from_db()
base.update({
"stop_loss_pct": -abs(float(base.get("sl_pct", 0.03))),
"take_profit_pct": abs(float(base.get("tp_pct", 0.10))),
"trail_pct": abs(float(base.get("trail_pct", 0.015))),
"trail_arm_pct": abs(float(base.get("trail_arm_pct", 0.015))),
"shoulder_min_high": abs(float(base.get("shoulder_min_high", 0.03))),
"shoulder_cut_pct": abs(float(base.get("shoulder_cut_pct", 0.005))),
})
self._engine_params = base
self.min_price = float(base.get("min_price", 1000.0))
self.stop_loss_pct = -abs(float(base.get("sl_pct", 0.03)))
self.take_profit_pct = abs(float(base.get("tp_pct", 0.10)))
self.slot_money = int(base.get("slot_money", 200_000))
self.time_start_hm = int(base.get("time_start_hm", 1030))
self.time_end_hm = int(base.get("time_end_hm", 1520))
self.max_daily = int(base.get("max_daily", 1))
except Exception as e:
self.logger.debug("range_break_engine defaults 조회 실패: %s", e)
self._engine_params = {}
def _in_trade_window(self) -> bool:
now = dt.now()
hm = now.hour * 100 + now.minute
return self.time_start_hm <= hm < self.time_end_hm
def _candidate_filter(self, candidate: Dict) -> bool:
if not candidate.get("code"):
return False
if not self._in_trade_window():
return False
return True
def check_buy(self, code: str, name: str) -> Optional[Dict]:
if not self._in_trade_window():
return None
try:
if get_env_bool("FORCE_BUY_TEST", False):
return self._force_buy_test(code, name)
need_n = rbe.range_break_min_bars_required(self._engine_params or {})
candles_raw = self.ws.get_candles(code, self.candle_tf, n=need_n + 10)
if len(candles_raw) < need_n - 2:
try:
self.ws.fill_gap([code], force=True)
except Exception:
pass
return None
candles = [self._norm_candle(c) for c in candles_raw]
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", "")).upper().startswith("RANGE_BREAK")
])
except Exception:
daily_cnt = 0
state = {"last_exit_dt": last_exit_dt, "daily_cnt": daily_cnt}
params = dict(self._engine_params or {})
if getattr(self.ws, "get_share_denom", None):
params["share_denom"] = float(self.ws.get_share_denom(code))
reject, msg, sig = rbe.check_buy_signal_range_break_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
_ebk = str(sig.get("entry_bar_key") or "")[:12]
_defer = self._defer_mid_enroll_entry(
code, _ebk, int(getattr(self, "candle_tf", 1) or 1), params,
)
if _defer:
self.logger.info("🔍 [%s] %s(%s)", _defer, name, code)
return None
align_on = get_env_bool("RANGE_BREAK_LIVE_BACKTEST_ALIGN", True)
entry_open = float(sig.get("entry_price", 0) or 0)
if align_on and entry_open > 0:
curr_price = entry_open
else:
curr_price = float(sig.get("close") or 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
hard_cap = get_env_int("RANGE_BREAK_MAX_BUY_AMOUNT", 0) or get_env_int(
"MAX_BUY_AMOUNT_PER_STOCK", 0,
)
qty, rej = self._resolve_buy_qty_live(
curr_price, hard_cap=hard_cap,
)
if rej:
self.logger.info(
"🔍 [탈락-%s] %s(%s) price=%.0f",
rej, name, code, curr_price,
)
return None
stop_price = curr_price * (1 + self.stop_loss_pct)
target_price = curr_price * (1 + self.take_profit_pct)
box_high = float(sig.get("box_high", 0) or 0)
self.logger.info(
"📦 [RANGE_BREAK] %s(%s) price=%.0f qty=%d box=%.0f~%.0f volX=%.1f",
name, code, curr_price, qty,
float(sig.get("box_low", 0) or 0), box_high,
float(sig.get("vol_ratio", 0) or 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": {
"box_high": box_high,
"box_low": float(sig.get("box_low", 0) or 0),
"box_width_pct": sig.get("box_width_pct", 0),
"vol_ratio": sig.get("vol_ratio", 0),
"box_stop_line": box_high,
},
}
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": {},
}
def check_sell_signals(self) -> List[Dict]:
if not self.holdings:
return []
signals: List[Dict] = []
now = dt.now()
is_eod = (now.hour == 15 and now.minute >= 25) or now.hour > 15
params = dict(self._engine_params or rbe.get_range_break_defaults_from_db())
params.update({
"stop_loss_pct": self.stop_loss_pct,
"take_profit_pct": self.take_profit_pct,
})
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:
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
if current_price > max_price:
max_price = current_price
holding["max_price"] = max_price
ef = holding.get("entry_features") or {}
box_stop = float(ef.get("box_stop_line", ef.get("box_high", 0)) or 0)
position = {
"entry_price": buy_price,
"entry_time": holding.get("buy_time", ""),
"qty": qty,
"max_price": max_price,
"box_stop_line": box_stop,
}
candle = {
"high": max_price,
"low": current_price,
"close": current_price,
"candle_time": now.strftime("%Y%m%d%H%M"),
}
res = rbe.check_sell_signal_range_break_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,
"reason": reason,
"profit_pct": profit_pct,
})
except Exception as e:
self.logger.debug("RANGE_BREAK 매도체크 오류 %s: %s", code, e)
return signals
def run_range_break_backtest(*args, **kwargs):
return rbe.run_range_break_backtest(*args, **kwargs)
def range_break_ui_to_engine_params(ui: Dict):
return rbe.range_break_ui_to_engine_params(ui)