# source: https://raw.githubusercontent.com/joaorafaelm/freqtrade-heroku/0f37679a3d9b0cba9376f061859471a50914b846/user_data/strategies/BuyAllSellAllStrategy.py
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
from freqtrade.persistence import Trade
from datetime import datetime
import numpy as np


class github_joaorafaelm_freqtrade_heroku__BuyAllSellAllStrategy__20210904_065018(IStrategy):
    stoploss = -0.25
    timeframe = '5m'

    use_sell_signal = True
    sell_profit_only = False
    ignore_roi_if_buy_signal = False

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        return dataframe

    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe["buy"] = np.random.randint(0, 2, size=len(dataframe))
        return dataframe

    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe["sell"] = 0
        return dataframe

    def custom_sell(
        self, pair: str, trade: 'Trade', current_time: 'datetime', current_rate: float, current_profit: float, **kwargs
    ) -> float:
        dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
        last_candle = dataframe.iloc[-1].squeeze()
        if (last_candle is not None):
            return True
        return None