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The ClucHAnix strategy is a trading strategy that uses various technical indicators to make buy and sell decisions in the cryptocurrency market. Here is a brief description of what the strategy does:
populate_indicators(): This function calculates and adds several indicators to the input dataframe, including Heikin Ashi candles, Bollinger Bands, EMA (Exponential Moving Average), ROCR (Rate of Change Ratio), RSI (Relative Strength Index), and Fisher Transform. populate_buy_trend(): Based on predefined parameters, this function identifies buy signals in the dataframe.
It checks conditions such as the rate of change (ROCR) being greater than a specified value, Bollinger Bands parameters, candlestick patterns, and the relationship between the closing price and moving averages.
populate_sell_trend(): This function determines sell signals in the dataframe.
It considers conditions like the Fisher Transform exceeding a threshold, specific candlestick patterns, the relationship between the closing price and moving averages, and trading volume. The ClucHAnix_ETH class is a subclass that extends the functionality of the ClucHAnix strategy specifically for trading Ethereum (ETH).
It checks conditions such as the rate of change (ROCR) being greater than a specified value, Bollinger Bands parameters, candlestick patterns, and the relationship between the closing price and moving averages.
populate_sell_trend(): This function determines sell signals in the dataframe.
It considers conditions like the Fisher Transform exceeding a threshold, specific candlestick patterns, the relationship between the closing price and moving averages, and trading volume. The ClucHAnix_ETH class is a subclass that extends the functionality of the ClucHAnix strategy specifically for trading Ethereum (ETH).
stoploss: -0.99 timeframe: 1m hash(sha256): 108936bb47912734aa1b3ef45f9965c99354719d79a8e9b794a7217c053e81e5
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last change: 2022-07-02 19:54:08