Prepare protections for backtesting
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@ -202,6 +202,10 @@ class Trade(_DECL_BASE):
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"""
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__tablename__ = 'trades'
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use_db: bool = True
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# Trades container for backtesting
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trades: List['Trade'] = []
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id = Column(Integer, primary_key=True)
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orders = relationship("Order", order_by="Order.id", cascade="all, delete-orphan")
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@ -562,6 +566,43 @@ class Trade(_DECL_BASE):
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else:
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return Trade.query
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@staticmethod
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def get_trades_proxy(*, pair: str = None, is_open: bool = None,
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open_date: datetime = None, close_date: datetime = None,
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) -> List['Trade']:
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"""
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Helper function to query Trades.
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Returns a List of trades, filtered on the parameters given.
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In live mode, converts the filter to a database query and returns all rows
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In Backtest mode, uses filters on Trade.trades to get the result.
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:return: unsorted List[Trade]
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"""
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if Trade.use_db:
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trade_filter = []
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if pair:
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trade_filter.append(Trade.pair == pair)
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if open_date:
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trade_filter.append(Trade.open_date > open_date)
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if close_date:
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trade_filter.append(Trade.close_date > close_date)
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if is_open is not None:
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trade_filter.append(Trade.is_open.is_(is_open))
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return Trade.get_trades(trade_filter).all()
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else:
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# Offline mode - without database
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sel_trades = [trade for trade in Trade.trades]
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if pair:
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sel_trades = [trade for trade in sel_trades if trade.pair == pair]
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if open_date:
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sel_trades = [trade for trade in sel_trades if trade.open_date > open_date]
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if close_date:
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sel_trades = [trade for trade in sel_trades if trade.close_date
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and trade.close_date > close_date]
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if is_open is not None:
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sel_trades = [trade for trade in sel_trades if trade.is_open == is_open]
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return sel_trades
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@staticmethod
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def get_open_trades() -> List[Any]:
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"""
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@ -3,7 +3,7 @@ Protection manager class
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"""
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import logging
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from datetime import datetime, timezone
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from typing import Dict, List
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from typing import Dict, List, Optional
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from freqtrade.persistence import PairLocks
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from freqtrade.plugins.protections import IProtection
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@ -43,7 +43,8 @@ class ProtectionManager():
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"""
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return [{p.name: p.short_desc()} for p in self._protection_handlers]
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def global_stop(self) -> bool:
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def global_stop(self, now: Optional[datetime] = None) -> bool:
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if not now:
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now = datetime.now(timezone.utc)
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result = False
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for protection_handler in self._protection_handlers:
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@ -57,7 +58,8 @@ class ProtectionManager():
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result = True
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return result
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def stop_per_pair(self, pair) -> bool:
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def stop_per_pair(self, pair, now: Optional[datetime] = None) -> bool:
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if not now:
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now = datetime.now(timezone.utc)
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result = False
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for protection_handler in self._protection_handlers:
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@ -35,13 +35,16 @@ class CooldownPeriod(IProtection):
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Get last trade for this pair
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"""
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look_back_until = date_now - timedelta(minutes=self._stop_duration)
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filters = [
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Trade.is_open.is_(False),
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Trade.close_date > look_back_until,
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Trade.pair == pair,
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]
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trade = Trade.get_trades(filters).first()
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if trade:
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# filters = [
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# Trade.is_open.is_(False),
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# Trade.close_date > look_back_until,
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# Trade.pair == pair,
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# ]
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# trade = Trade.get_trades(filters).first()
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trades = Trade.get_trades_proxy(pair=pair, is_open=False, close_date=look_back_until)
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if trades:
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# Get latest trade
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trade = sorted(trades, key=lambda t: t.close_date)[-1]
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self.log_once(f"Cooldown for {pair} for {self.stop_duration_str}.", logger.info)
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until = self.calculate_lock_end([trade], self._stop_duration)
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@ -40,13 +40,15 @@ class LowProfitPairs(IProtection):
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Evaluate recent trades for pair
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"""
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look_back_until = date_now - timedelta(minutes=self._lookback_period)
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filters = [
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Trade.is_open.is_(False),
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Trade.close_date > look_back_until,
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]
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if pair:
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filters.append(Trade.pair == pair)
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trades = Trade.get_trades(filters).all()
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# filters = [
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# Trade.is_open.is_(False),
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# Trade.close_date > look_back_until,
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# ]
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# if pair:
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# filters.append(Trade.pair == pair)
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trades = Trade.get_trades_proxy(pair=pair, is_open=False, close_date=look_back_until)
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# trades = Trade.get_trades(filters).all()
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if len(trades) < self._trade_limit:
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# Not enough trades in the relevant period
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return False, None, None
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@ -44,11 +44,8 @@ class MaxDrawdown(IProtection):
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Evaluate recent trades for drawdown ...
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"""
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look_back_until = date_now - timedelta(minutes=self._lookback_period)
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filters = [
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Trade.is_open.is_(False),
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Trade.close_date > look_back_until,
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]
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trades = Trade.get_trades(filters).all()
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trades = Trade.get_trades_proxy(is_open=False, close_date=look_back_until)
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trades_df = pd.DataFrame([trade.to_json() for trade in trades])
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@ -43,16 +43,21 @@ class StoplossGuard(IProtection):
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Evaluate recent trades
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"""
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look_back_until = date_now - timedelta(minutes=self._lookback_period)
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filters = [
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Trade.is_open.is_(False),
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Trade.close_date > look_back_until,
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or_(Trade.sell_reason == SellType.STOP_LOSS.value,
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and_(Trade.sell_reason == SellType.TRAILING_STOP_LOSS.value,
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Trade.close_profit < 0))
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]
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if pair:
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filters.append(Trade.pair == pair)
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trades = Trade.get_trades(filters).all()
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# filters = [
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# Trade.is_open.is_(False),
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# Trade.close_date > look_back_until,
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# or_(Trade.sell_reason == SellType.STOP_LOSS.value,
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# and_(Trade.sell_reason == SellType.TRAILING_STOP_LOSS.value,
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# Trade.close_profit < 0))
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# ]
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# if pair:
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# filters.append(Trade.pair == pair)
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# trades = Trade.get_trades(filters).all()
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trades1 = Trade.get_trades_proxy(pair=pair, is_open=False, close_date=look_back_until)
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trades = [trade for trade in trades1 if trade.sell_reason == SellType.STOP_LOSS
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or (trade.sell_reason == SellType.TRAILING_STOP_LOSS
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and trade.close_profit < 0)]
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if len(trades) > self._trade_limit:
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self.log_once(f"Trading stopped due to {self._trade_limit} "
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