49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
"""
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IStrategy interface
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This module defines the interface to apply for strategies
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"""
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from abc import ABC, abstractmethod
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from typing import Dict
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from pandas import DataFrame
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class IStrategy(ABC):
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"""
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Interface for freqtrade strategies
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Defines the mandatory structure must follow any custom strategies
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Attributes you can use:
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minimal_roi -> Dict: Minimal ROI designed for the strategy
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stoploss -> float: optimal stoploss designed for the strategy
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ticker_interval -> str: value of the ticker interval to use for the strategy
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"""
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minimal_roi: Dict
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stoploss: float
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ticker_interval: str
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@abstractmethod
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def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
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"""
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Populate indicators that will be used in the Buy and Sell strategy
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:param dataframe: Raw data from the exchange and parsed by parse_ticker_dataframe()
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:return: a Dataframe with all mandatory indicators for the strategies
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"""
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@abstractmethod
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def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
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"""
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Based on TA indicators, populates the buy signal for the given dataframe
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:param dataframe: DataFrame
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:return: DataFrame with buy column
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"""
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@abstractmethod
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def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
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"""
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Based on TA indicators, populates the sell signal for the given dataframe
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:param dataframe: DataFrame
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:return: DataFrame with sell column
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"""
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