mirror of
https://github.com/freqtrade/freqtrade.git
synced 2026-01-20 14:00:38 +00:00
add trade param to custom entry price in interface, bot, backtesting, exemples
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@@ -520,7 +520,7 @@ class AwesomeStrategy(IStrategy):
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# ... populate_* methods
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def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
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def custom_entry_price(self, pair: str, trade: 'Trade', current_time: datetime, proposed_rate: float,
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entry_tag: Optional[str], side: str, **kwargs) -> float:
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dataframe, last_updated = self.dp.get_analyzed_dataframe(pair=pair,
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@@ -271,7 +271,7 @@ New string argument `side` - which can be either `"long"` or `"short"`.
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``` python hl_lines="3"
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class AwesomeStrategy(IStrategy):
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def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
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def custom_entry_price(self, pair: str, trade: 'Trade', current_time: datetime, proposed_rate: float,
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entry_tag: Optional[str], **kwargs) -> float:
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return proposed_rate
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```
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@@ -280,7 +280,7 @@ After:
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``` python hl_lines="3"
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class AwesomeStrategy(IStrategy):
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def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
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def custom_entry_price(self, pair: str, trade: 'Trade', current_time: datetime, proposed_rate: float,
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entry_tag: Optional[str], side: str, **kwargs) -> float:
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return proposed_rate
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```
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@@ -937,7 +937,7 @@ class FreqtradeBot(LoggingMixin):
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# Don't call custom_entry_price in order-adjust scenario
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custom_entry_price = strategy_safe_wrapper(self.strategy.custom_entry_price,
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default_retval=enter_limit_requested)(
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pair=pair, current_time=datetime.now(timezone.utc),
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pair=pair, trade=trade, current_time=datetime.now(timezone.utc),
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proposed_rate=enter_limit_requested, entry_tag=entry_tag,
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side=trade_side,
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)
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@@ -738,7 +738,7 @@ class Backtesting:
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if order_type == 'limit':
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new_rate = strategy_safe_wrapper(self.strategy.custom_entry_price,
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default_retval=propose_rate)(
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pair=pair, current_time=current_time,
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pair=pair, trade=trade, current_time=current_time,
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proposed_rate=propose_rate, entry_tag=entry_tag,
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side=direction,
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) # default value is the open rate
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@@ -395,7 +395,8 @@ 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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def custom_entry_price(self, pair: str, trade: Trade, current_time: datetime,
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proposed_rate: float,
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entry_tag: Optional[str], side: str, **kwargs) -> float:
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"""
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Custom entry price logic, returning the new entry price.
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@@ -6,6 +6,8 @@ from typing import Optional
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from pandas import DataFrame
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from strategy_test_v3 import StrategyTestV3
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from freqtrade.persistence import Trade
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class StrategyTestV3CustomEntryPrice(StrategyTestV3):
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"""
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@@ -31,7 +33,7 @@ class StrategyTestV3CustomEntryPrice(StrategyTestV3):
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return dataframe
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def custom_entry_price(self, pair: str, current_time: datetime, proposed_rate: float,
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def custom_entry_price(self, pair: str, trade: 'Trade', current_time: datetime, proposed_rate: float,
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entry_tag: Optional[str], side: str, **kwargs) -> float:
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return self.new_entry_price
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