50 lines
1.8 KiB
Python
50 lines
1.8 KiB
Python
"""
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The strategies here are minimal strategies designed to fail loading in certain conditions.
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They are not operational, and don't aim to be.
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"""
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from datetime import datetime
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from pandas import DataFrame
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from freqtrade.strategy.interface import IStrategy
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class TestStrategyNoImplements(IStrategy):
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return super().populate_indicators(dataframe, metadata)
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class TestStrategyNoImplementSell(TestStrategyNoImplements):
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def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return super().populate_entry_trend(dataframe, metadata)
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class TestStrategyImplementCustomSell(TestStrategyNoImplementSell):
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return super().populate_exit_trend(dataframe, metadata)
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def custom_sell(self, pair: str, trade, current_time: datetime,
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current_rate: float, current_profit: float,
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**kwargs):
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return False
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class TestStrategyImplementBuyTimeout(TestStrategyNoImplementSell):
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return super().populate_exit_trend(dataframe, metadata)
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def check_buy_timeout(self, pair: str, trade, order: dict,
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current_time: datetime, **kwargs) -> bool:
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return False
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class TestStrategyImplementSellTimeout(TestStrategyNoImplementSell):
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def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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return super().populate_exit_trend(dataframe, metadata)
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def check_sell_timeout(self, pair: str, trade, order: dict,
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current_time: datetime, **kwargs) -> bool:
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return False
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