The ElliotV8_original_ichiv3 strategy is a backtesting strategy that uses various technical indicators to generate buy and sell signals for trading. In the populate_indicators method, the strategy calculates and adds several indicators to the input dataframe:
Moving averages (ma_buy_{val} and ma_sell_{val}) using the Exponential Moving Average (EMA) with different time periods. Hull Moving Average (hma_50) calculated using the Hull Moving Average formula.
Simple Moving Average (sma_9) with a time period of 9.
Elliott Wave Oscillator (EWO) calculated using the fast and slow EWO parameters.
Relative Strength Index (rsi) with a time period of 14. Fast and slow versions of RSI (rsi_fast and rsi_slow) with different time periods. In the populate_buy_trend method, the strategy defines conditions for generating buy signals based on the calculated indicators. The conditions include:
RSI fast indicator being less than 35. Closing price being below the buy moving average (ma_buy_{self.base_nb_candles_buy.value}) multiplied by a low offset value. EWO indicator being higher than a specified EWO high value. RSI indicator being below a specified RSI buy value. Volume being greater than 0. Closing price being below the sell moving average (ma_sell_{self.base_nb_candles_sell.value}) multiplied by a high offset value. If any of the conditions are met, the buy column in the dataframe is set to 1. In the populate_sell_trend method, the strategy defines conditions for generating sell signals based on the indicators. The conditions include:
Closing price being above the Hull Moving Average (hma_50). Closing price being above the sell moving average multiplied by a high offset 2 value, and RSI being above 50, with volume being greater than 0, and fast RSI being higher than slow RSI. Closing price being below the Hull Moving Average and above the sell moving average multiplied by a high offset value, with volume being greater than 0, and fast RSI being higher than slow RSI. If any of the conditions are met, the sell column in the dataframe is set to 1. Overall, the strategy uses a combination of moving averages, oscillators, and price conditions to generate buy and sell signals based on predefined criteria.