# source: https://raw.githubusercontent.com/DerSalvador/freqtrade-helm-chart/a669dc11b640b0eb63aa8f8b51e9f181fd7ee43c/chart/deployed_strategies/binance-michael-k8s-namespace/MACD_TRIPLE_MA.py
# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
# --------------------------------

class Github_DerSalvador_freqtrade_helm_chart__MACD_TRIPLE_MA__20260115_122204(IStrategy):
    INTERFACE_VERSION = 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"
    # Optimal stoploss designed for the strategy
    # ROI table:
    minimal_roi = {'0': 0.15825, '28': 0.08491, '45': 0.04, '88': 0.0194, '120': 0}
    # Stoploss:
    stoploss = -0.03
    # Trailing stop:
    trailing_stop = True
    trailing_stop_positive = 0.1455
    trailing_stop_positive_offset = 0.15434
    trailing_only_offset_is_reached = True
    # Optimal timeframe for the strategy
    timeframe = '5m'
    # Number of candles the strategy requires before producing valid signals
    startup_candle_count: int = 26

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        SMA6 = 6
        SMA14 = 14
        SMA26 = 26
        # MACD 
        macd = ta.MACD(dataframe)
        dataframe['macd'] = macd['macd']
        dataframe['macdsignal'] = macd['macdsignal']
        dataframe['macdhist'] = macd['macdhist']
        # SMA - Simple Moving Average
        dataframe['sma6'] = ta.SMA(dataframe, timeperiod=SMA6)
        dataframe['sma26'] = ta.SMA(dataframe, timeperiod=SMA26)
        dataframe['sma14'] = ta.SMA(dataframe, timeperiod=SMA14)
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[qtpylib.crossed_above(dataframe['macd'], dataframe['macdsignal']) & qtpylib.crossed_above(dataframe['sma6'], dataframe['sma14']) & (dataframe['sma26'] > dataframe['sma6']), 'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[qtpylib.crossed_below(dataframe['macd'], dataframe['macdsignal']) & qtpylib.crossed_below(dataframe['sma6'], dataframe['sma14']) & (dataframe['sma26'] < dataframe['sma6']) & (dataframe['sma26'] < dataframe['sma14']), 'exit_long'] = 1
        return dataframe