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

__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"

cciBuyTP = 72
cciBuyVal = -175
cciSellTP = 66
cciSellVal = -106

rsiBuyTP = 36
rsiBuyVal = 90
rsiSellTP = 45
rsiSellVal = 88


class Swing_High_To_Sky_865(IStrategy):

    timeframe = '5m'

    stoploss = -0.34338

    minimal_roi = {"0": 0.15058, "33": 0.0453, "64": 0.02333, "244": 0}

    def informative_pairs(self):
        return []

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

        dataframe['cci-'+str(cciBuyTP)] = ta.CCI(dataframe,
                                                 timeperiod=cciBuyTP)
        dataframe['cci-'+str(cciSellTP)] = ta.CCI(dataframe,
                                                  timeperiod=cciSellTP)

        dataframe['rsi-'+str(rsiBuyTP)] = ta.RSI(dataframe,
                                                 timeperiod=rsiBuyTP)
        dataframe['rsi-'+str(rsiSellTP)] = ta.RSI(dataframe,
                                                  timeperiod=rsiSellTP)

        return dataframe

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

        dataframe.loc[
            (
                (dataframe['cci-'+str(cciBuyTP)] < cciBuyVal) &
                (dataframe['rsi-'+str(rsiBuyTP)] < rsiBuyVal)
            ),
            'buy'] = 1

        return dataframe

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

        dataframe.loc[
            (
                (dataframe['cci-'+str(cciSellTP)] > cciSellVal) &
                (dataframe['rsi-'+str(rsiSellTP)] > rsiSellVal)
            ),
            'sell'] = 1

        return dataframe