The ClucHAnix trading strategy is designed to backtest and analyze trading signals using various technical indicators. Here's a short description of what the strategy does:
In the populate_indicators method, the strategy calculates and adds several indicators to the trading dataframe, including Heikin Ashi candles, Bollinger Bands, EMA (Exponential Moving Average), ROCR (Rate of Change Ratio), RSI (Relative Strength Index), and Fisher Transform. The strategy then obtains an informative dataframe for a higher timeframe (1 hour) to incorporate additional data for analysis.
Next, in the populate_buy_trend method, the strategy sets the conditions for a buy signal based on a combination of indicator values.
These conditions include checking for certain thresholds of ROCR, Bollinger Bands delta, close delta, tail, and the relationship between the closing price and the lower Bollinger Band.
Finally, in the populate_sell_trend method, the strategy sets the conditions for a sell signal. These conditions involve the Fisher Transform value, the high and close prices of Heikin Ashi candles, the EMA, the middle Bollinger Band, and the volume. The ClucHAnix_ETH class extends the ClucHAnix class, indicating that it's a variant of the strategy specifically designed for ETH (Ethereum) trading. Overall, the ClucHAnix strategy combines multiple technical indicators to generate buy and sell signals based on specific conditions. The backtesting website can utilize this strategy to evaluate its performance and analyze the effectiveness of different trading approaches.