# source: https://raw.githubusercontent.com/DerSalvador/freqtrade-helm-chart/a669dc11b640b0eb63aa8f8b51e9f181fd7ee43c/chart/deployed_strategies/binance-michael-k8s-namespace/CCI_BB.py
import freqtrade.vendor.qtpylib.indicators as qtpylib
import talib.abstract as ta
from freqtrade.strategy import DecimalParameter, IStrategy, IntParameter
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame, DatetimeIndex, merge, Series

class Github_DerSalvador_freqtrade_helm_chart__CCI_BB__20260115_122204(IStrategy):
    INTERFACE_VERSION = 3
    # Buy hyperspace params:
    entry_params = {}
    # Sell hyperspace params:
    exit_params = {}
    minimal_roi = {'0': 0.02, '60': 0.04, '120': 0.02}
    stoploss = -1
    timeframe = '5m'
    exit_profit_only = False

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe['cci'] = ta.CCI(dataframe)
        bollinger1 = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
        dataframe['bb_lowerband1'] = bollinger1['lower']
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[(dataframe['cci'] <= -134) & (dataframe['close'] < dataframe['bb_lowerband1']), 'enter_long'] = 1
        return dataframe

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