# source: https://raw.githubusercontent.com/Jarrodsz/ft/5ccdbdc20a8334f2d3ba4387077aaac53be05332/user_data/strategies_inactive/Scalp.py
# --- Do not remove these libs ---
from freqtrade.strategy 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

class github_Jarrodsz_ft__Scalp__20230327_161906(IStrategy):

    INTERFACE_VERSION: int = 3

    minimal_roi = {
        "0": 0.01
    }
    # Optimal stoploss designed for the strategy
    # This attribute will be overridden if the config file contains "stoploss"
    # should not be below 3% loss

    stoploss = -0.04
    # Optimal timeframe for the strategy
    # the shorter the better
    timeframe = '1m'

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe['ema_high'] = ta.EMA(dataframe, timeperiod=5, price='high')
        dataframe['ema_close'] = ta.EMA(dataframe, timeperiod=5, price='close')
        dataframe['ema_low'] = ta.EMA(dataframe, timeperiod=5, price='low')
        stoch_fast = ta.STOCHF(dataframe, 5, 3, 0, 3, 0)
        dataframe['fastd'] = stoch_fast['fastd']
        dataframe['fastk'] = stoch_fast['fastk']
        dataframe['adx'] = ta.ADX(dataframe)

        # required for graphing
        bollinger = qtpylib.bollinger_bands(dataframe['close'], window=20, stds=2)
        dataframe['bb_lowerband'] = bollinger['lower']
        dataframe['bb_upperband'] = bollinger['upper']
        dataframe['bb_middleband'] = bollinger['mid']

        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
            (
                    (dataframe['open'] < dataframe['ema_low']) &
                    (dataframe['adx'] > 30) &
                    (
                            (dataframe['fastk'] < 30) &
                            (dataframe['fastd'] < 30) &
                            (qtpylib.crossed_above(dataframe['fastk'], dataframe['fastd']))
                    )
            ),
            'enter_long'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[
            (
                (dataframe['open'] >= dataframe['ema_high'])
            ) |
            (
                    (qtpylib.crossed_above(dataframe['fastk'], 70)) |
                    (qtpylib.crossed_above(dataframe['fastd'], 70))
            ),
            'exit_long'] = 1
        return dataframe