mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 10:21:59 +00:00
46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
"""
|
|
IStrategy interface
|
|
This module defines the interface to apply for strategies
|
|
"""
|
|
|
|
from abc import ABC, abstractmethod
|
|
|
|
from pandas import DataFrame
|
|
|
|
|
|
class IStrategy(ABC):
|
|
"""
|
|
Interface for freqtrade strategies
|
|
Defines the mandatory structure must follow any custom strategies
|
|
|
|
Attributes you can use:
|
|
minimal_roi -> Dict: Minimal ROI designed for the strategy
|
|
stoploss -> float: optimal stoploss designed for the strategy
|
|
ticker_interval -> int: value of the ticker interval to use 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
|
|
"""
|