The ClucHAnix strategy is a backtesting strategy that uses various technical indicators to generate buy and sell signals for trading. Here's a breakdown of what the strategy does:
In the populate_indicators method, the strategy calculates and adds several indicators to the input dataframe, including Heikin-Ashi candles, Bollinger Bands, price deltas, tails, exponential moving averages (EMA), ROCR (Rate of Change Ratio), RSI (Relative Strength Index), and Fisher Transform. The strategy retrieves informative data on a higher timeframe (1 hour) and merges it with the current timeframe data using the merge_informative_pair function.
In the populate_buy_trend method, the strategy determines the conditions for a buy signal.
It checks if the ROCR on the higher timeframe is above a specified threshold, and then evaluates additional conditions involving Bollinger Bands, price deltas, tails, and exponential moving averages.
If all conditions are met, a 'buy' signal is generated. In the populate_sell_trend method, the strategy determines the conditions for a sell signal. It checks if the Fisher Transform value is above a specified threshold and evaluates conditions involving the previous and current candle's high and close prices, the fast EMA, Bollinger Bands, and volume. If all conditions are met, a 'sell' signal is generated. The ClucDCA class extends the ClucHAnix class, indicating that it is a modified version of the original strategy with additional functionality. Overall, the ClucHAnix strategy combines multiple indicators to generate buy and sell signals based on specific conditions.