Merge branch 'feat/short' into pr/samgermain/5378
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@@ -281,6 +281,43 @@ class IStrategy(ABC, HyperStrategyMixin):
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"""
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return self.stoploss
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def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
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**kwargs) -> float:
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"""
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Custom entry price logic, returning the new entry price.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, returns None, orderbook is used to set entry price
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:param pair: Pair that's currently analyzed
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:param current_time: datetime object, containing the current datetime
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:param proposed_rate: Rate, calculated based on pricing settings in ask_strategy.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return float: New entry price value if provided
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"""
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return proposed_rate
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def custom_exit_price(self, pair: str, trade: Trade,
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current_time: datetime, proposed_rate: float,
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current_profit: float, **kwargs) -> float:
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"""
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Custom exit price logic, returning the new exit price.
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For full documentation please go to https://www.freqtrade.io/en/latest/strategy-advanced/
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When not implemented by a strategy, returns None, orderbook is used to set exit price
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:param pair: Pair that's currently analyzed
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:param trade: trade object.
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:param current_time: datetime object, containing the current datetime
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:param proposed_rate: Rate, calculated based on pricing settings in ask_strategy.
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:param current_profit: Current profit (as ratio), calculated based on current_rate.
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:param **kwargs: Ensure to keep this here so updates to this won't break your strategy.
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:return float: New exit price value if provided
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"""
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return proposed_rate
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def custom_sell(self, pair: str, trade: Trade, current_time: datetime, current_rate: float,
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current_profit: float, **kwargs) -> Optional[Union[str, bool]]:
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"""
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@@ -591,7 +628,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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current_rate = rate
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current_profit = trade.calc_profit_ratio(current_rate)
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trade.adjust_min_max_rates(high or current_rate)
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trade.adjust_min_max_rates(high or current_rate, low or current_rate)
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stoplossflag = self.stop_loss_reached(current_rate=current_rate, trade=trade,
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current_time=date, current_profit=current_profit,
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@@ -761,7 +798,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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else:
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return current_profit > roi
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def ohlcvdata_to_dataframe(self, data: Dict[str, DataFrame]) -> Dict[str, DataFrame]:
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def advise_all_indicators(self, data: Dict[str, DataFrame]) -> Dict[str, DataFrame]:
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"""
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Populates indicators for given candle (OHLCV) data (for multiple pairs)
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Does not run advise_buy or advise_sell!
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