# Source: generated via dynamic_strategy_generator
from freqtrade.strategy import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib

class ACO_41_15(IStrategy):
    timeframe = '1h'
    
    # Standard ROI and Stoploss
    minimal_roi = {"0": 0.1, "60": 0.05, "120": 0.0}
    stoploss = -0.05
    
    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe['mom'] = ta.MOM(dataframe, timeperiod=20)
        dataframe['bop'] = ta.BOP(dataframe)
        dataframe['kama'] = ta.KAMA(dataframe, timeperiod=30)
        dataframe['ad'] = ta.AD(dataframe)
        dataframe['ad_sma'] = ta.SMA(dataframe, timeperiod=10, price='ad')
        dataframe['atr'] = ta.ATR(dataframe, timeperiod=7)
        dataframe['willr'] = ta.WILLR(dataframe, timeperiod=14)
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            qtpylib.crossed_above(dataframe['mom'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['bop'], 0)
        ) & (
            qtpylib.crossed_above(dataframe['close'], dataframe['kama'])
        ) & (
            qtpylib.crossed_above(dataframe['ad'], dataframe['ad_sma'])
        ),
        'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
        (
            (dataframe['willr'] > -20)
        ) & (
            (dataframe['willr'] > -25)
        ),
        'exit_long'] = 1
        return dataframe