The ClucHAnix_5m1c strategy is a trading strategy that performs backtesting on a given dataset. Here is a short description of what the strategy does:
The strategy starts by populating various indicators on the input dataframe, including Heikin-Ashi candlestick data, Bollinger Bands, Exponential Moving Averages (EMA), Relative Strength Index (RSI), and others. It retrieves additional informative data for a higher timeframe and merges it with the original dataframe.
It calculates and adds additional columns to the dataframe, such as percentage change, average percentage change, and normalized percentage change.
The populate_buy_trend function populates the "buy" column of the dataframe based on specific conditions, including the rate of change (ROC), Bollinger Bands, candlestick patterns, and volume.
The populate_sell_trend function populates the "sell" column of the dataframe based on conditions involving the Fisher Transform indicator, candlestick patterns, moving averages, Bollinger Bands, and volume. The ClucHAnix_5mTB1 class extends the ClucHAnix_5m1 class and adds trailing buy functionality. The strategy checks for trade entry confirmation and initiates trailing buy orders based on certain conditions, such as the current price, trailing buy offset, and previous candlestick data. The strategy provides logging and information updates throughout the process. This strategy combines various technical indicators and conditions to generate buy and sell signals based on the backtested data.