stable/freqtrade/strategy/interface.py
2018-01-22 20:51:39 -08:00

57 lines
1.7 KiB
Python

from abc import ABC, abstractmethod
from pandas import DataFrame
from typing import Dict
class IStrategy(ABC):
@property
def name(self) -> str:
"""
Name of the strategy.
:return: str representation of the class name
"""
return self.__class__.__name__
"""
Attributes you can use:
minimal_roi -> Dict: Minimal ROI designed for the strategy
stoploss -> float: ptimal stoploss designed for the strategy
"""
@abstractmethod
def populate_indicators(self, dataframe: DataFrame) -> DataFrame:
"""
Populate indicators that will be used in the Buy and Sell strategy
:param dataframe: Raw data from the exchange and parsed by parse_ticker_dataframe()
:return: a Dataframe with all mandatory indicators for the strategies
"""
@abstractmethod
def populate_buy_trend(self, dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the buy signal for the given dataframe
:param dataframe: DataFrame
:return: DataFrame with buy column
:return:
"""
@abstractmethod
def populate_sell_trend(self, dataframe: DataFrame) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame
:return: DataFrame with buy column
"""
@abstractmethod
def hyperopt_space(self) -> Dict:
"""
Define your Hyperopt space for the strategy
"""
@abstractmethod
def buy_strategy_generator(self, params) -> None:
"""
Define the buy strategy parameters to be used by hyperopt
"""