# source: https://raw.githubusercontent.com/tjgeirk/freqport/1155cf9f1afabc26bcd91fdc1f5ef0589a26102d/bot2/strategies/BbandRsi.py
# --- Do not remove these libs ---
from freqtrade.strategy import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib


# --------------------------------


class github_tjgeirk_freqport__BbandRsi__20220811_232550(IStrategy):
    """
    author@: Gert Wohlgemuth
    converted from:
    
https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/github_tjgeirk_freqport__BbandRsi__20220811_232550.cs
    """

    INTERFACE_VERSION: int = 3
    # Minimal ROI designed for the strategy.
    # adjust based on market conditions. We would recommend to keep it low 
for quick turn arounds
    # This attribute will be overridden if the config file contains 
"minimal_roi"
    minimal_roi = {
        "0": 0.1
    }

    # Optimal stoploss designed for the strategy
    stoploss = -0.25

    # Optimal timeframe for the strategy
    timeframe = '1h'

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> 
DataFrame:
        dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)

        # Bollinger bands
        bollinger = 
qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, 
stds=2)
        dataframe['bb_lowerband'] = bollinger['lower']
        dataframe['bb_middleband'] = bollinger['mid']
        dataframe['bb_upperband'] = bollinger['upper']

        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) 
-> DataFrame:
        dataframe.loc[
            (
                    (dataframe['rsi'] < 30) &
                    (dataframe['close'] < dataframe['bb_lowerband'])

            ),
            'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> 
DataFrame:
        dataframe.loc[
            (
                    (dataframe['rsi'] > 70)

            ),
            'exit_long'] = 1
        return dataframe