# source: https://raw.githubusercontent.com/DerSalvador/freqtrade-helm-chart/a669dc11b640b0eb63aa8f8b51e9f181fd7ee43c/chart/deployed_strategies/binance-futures-k8s-namespace/keltnerchannel.py
# --- Do not remove these libs ---
from freqtrade.strategy.interface import IStrategy
from pandas import DataFrame
# Add your lib to import here
import talib.abstract as ta
import freqtrade.vendor.qtpylib.indicators as qtpylib
import pandas_ta as pta
import numpy as np  # noqa
import pandas as pd  # noqa
# These libs are for hyperopt
from functools import reduce
from freqtrade.strategy import BooleanParameter, CategoricalParameter, DecimalParameter, IStrategy, IntParameter

class Github_DerSalvador_freqtrade_helm_chart__keltnerchannel__20260115_122204(IStrategy):
    INTERFACE_VERSION = 3
    timeframe = '6h'
    # Both stoploss and roi are set to 100 to prevent them to give a exit signal.
    stoploss = -0.254
    minimal_roi = {'0': 100}
    plot_config = {'main_plot': {'kc_upperband': {'color': 'purple', 'plotly': {'opacity': 0.4}}, 'kc_middleband': {'color': 'blue'}, 'kc_lowerband': {'color': 'purple', 'plotly': {'opacity': 0.4}}}, 'subplots': {'RSI': {'rsi': {'color': 'orange'}, 'hline': {'color': 'grey', 'plotly': {'opacity': 0.4}}}}}

    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        # Keltner Channel
        keltner = qtpylib.keltner_channel(dataframe, window=20, atrs=1)
        dataframe['kc_upperband'] = keltner['upper']
        dataframe['kc_lowerband'] = keltner['lower']
        dataframe['kc_middleband'] = keltner['mid']
        # RSI
        dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
        # Horizontal RSI line
        hline = 55
        dataframe['hline'] = hline
        # Print stuff for debugging dataframe
        # print(metadata)
        # print(dataframe.tail(20))
        return dataframe

    def populate_entry_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[qtpylib.crossed_above(dataframe['close'], dataframe['kc_upperband']) & (dataframe['rsi'] > dataframe['hline']), 'entry'] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
        dataframe.loc[qtpylib.crossed_below(dataframe['close'], dataframe['kc_middleband']), 'exit'] = 1
        return dataframe