# source: https://raw.githubusercontent.com/HaoweiChan/FreqTrade/cfd9f0a74f79a4e99d5902a2002cb063493732b3/user_data/strategies/MACDCCI/MACDCCI.py
# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from typing import Dict, List
from functools import reduce
from pandas import DataFrame
# --------------------------------

import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy # noqa

__author__      = "Kevin Ossenbrück"
__copyright__   = "Free For Use"
__credits__     = ["Bloom Trading, Mohsen Hassan"]
__license__     = "MIT"
__version__     = "1.0"
__maintainer__  = "Kevin Ossenbrück"
__email__       = "kevin.ossenbrueck@pm.de"
__status__      = "Live"

class_name = 'Github_HaoweiChan_FreqTrade__MACDCCI__20251104_160232'
class Github_HaoweiChan_FreqTrade__MACDCCI__20251104_160232(IStrategy):
    INTERFACE_VERSION = 3


    # Disable ROI
    # Could be replaced with new ROI from hyperopt.
    minimal_roi = {
         "0":  100
    }

    stoploss = -0.30

    ### Do extra hyperopt for trailing seperat. Use "--spaces default" and then "--spaces trailing".
    ### See here for more information: https://www.freqtrade.io/en/latest/hyperopt
    trailing_stop = False
    trailing_stop_positive = 0.08
    trailing_stop_positive_offset = 0.10
    trailing_only_offset_is_reached = False

    ticker_interval = '30m'

    def informative_pairs(self):
        return []

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

        macd = ta.MACD(dataframe, fastperiod=12, slowperiod=26, signalperiod=9)
        dataframe['macd'] = macd['macd']
        dataframe['macdsignal'] = macd['macdsignal']
        dataframe['macdhist'] = macd['macdhist']

        ### Add timeperiod from hyperopt (replace xx with value):
        ### "xx" must be replaced even before the first hyperopt is run,
        ### else "xx" would be a syntax error because it must be a Integer value.
        dataframe['cci-buy'] = ta.CCI(dataframe, timeperiod=35)
        dataframe['cci-sell'] = ta.CCI(dataframe, timeperiod=62)

        return dataframe

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

        dataframe.loc[
            (
                (dataframe['macd'] > dataframe['macdsignal']) &
                (dataframe['cci-buy'] <= -100.0) # Replace with value from hyperopt.
            ),
            'enter_long'] = 1

        return dataframe

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

        dataframe.loc[
            (
                (dataframe['macd'] < dataframe['macdsignal']) &
                (dataframe['cci-sell'] >= 200.0) # Replace with value from hyperopt.
            ),
            'exit_long'] = 1

        return dataframe