from freqtrade.strategy.interface import IStrategy
from freqtrade.strategy import IStrategy, merge_informative_pair
from pandas import DataFrame

from technical.util import resample_to_interval, resampled_merge
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
import numpy
from technical.indicators import ichimoku

class Ichimoku_v13(IStrategy):
    """

    """

    minimal_roi = {
        "0": 10
    }

    stoploss = -1 #-0.35

    ticker_interval = '4h' #3m







    def informative_pairs(self):

        informative_pairs += [("BTC/USDT", "1d")]

        return informative_pairs

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        if not self.dp:

            return dataframe

        inf_tf = '1d'

        informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=inf_tf)







        ichi = ichimoku(informative, conversion_line_period=20, base_line_periods=60, laggin_span=120, displacement=30)
        informative['tenkan'] = ichi['tenkan_sen']
        informative['kijun'] = ichi['kijun_sen']







        dataframe = merge_informative_pair(dataframe, informative, self.timeframe, inf_tf, ffill=True)





        ichi = ichimoku(dataframe, conversion_line_period=20, base_line_periods=60, laggin_span=120, displacement=30)

        dataframe['tenkan'] = ichi['tenkan_sen']
        dataframe['kijun'] = ichi['kijun_sen']
        dataframe['senkou_a'] = ichi['senkou_span_a']
        dataframe['senkou_b'] = ichi['senkou_span_b']
        dataframe['cloud_green'] = ichi['cloud_green']
        dataframe['cloud_red'] = ichi['cloud_red']

        return dataframe

    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
            (
                (dataframe['close'] > dataframe['senkou_a']) &
                (dataframe['close'] > dataframe['senkou_b'])
            ),
            'buy'] = 1

        dataframe.loc[
            (
                (dataframe['close'] > dataframe['senkou_a']) &
                (dataframe['close'] > dataframe['senkou_b'])
            ),
            'buy'] = 1

        return dataframe

    def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        (qtpylib.crossed_below(dataframe['tenkan_1d'], dataframe['kijun_1d']))

        return dataframe