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The "ElliotV8_original_ichiv2" strategy is a trading strategy implemented in Python for backtesting purposes. Here is a short description of what the strategy does:
The strategy uses various technical indicators to generate buy and sell signals. In the "populate_indicators" method, the strategy calculates moving averages (EMA) for different time periods, including both buy and sell moving averages.
It also calculates the Hull Moving Average (HMA) and the Simple Moving Average (SMA) for a window of 9.
Additionally, it computes the Elliott Wave Oscillator (EWO) and two different Relative Strength Index (RSI) values.
In the "populate_buy_trend" method, the strategy defines conditions for buying. These conditions include the RSI fast value being less than 35, the closing price being below the buy moving average multiplied by a low offset value, the EWO being higher than a specified threshold, the RSI being below a specified buy threshold, the volume being greater than 0, and the closing price being below the sell moving average multiplied by a high offset value. If any of these conditions are met, the "buy" signal is set to 1. In the "populate_sell_trend" method, the strategy defines conditions for selling. These conditions include the closing price being above the Hull Moving Average (HMA) of 50, the closing price being above the sell moving average multiplied by a high offset value or above the HMA, the RSI being above 50, the volume being greater than 0, and the RSI fast value being greater than the RSI slow value. If any of these conditions are met, the "sell" signal is set to 1. Overall, the strategy aims to generate buy signals when certain criteria are met, indicating potential opportunities for buying, and sell signals when different criteria are satisfied, suggesting potential selling opportunities.
It also calculates the Hull Moving Average (HMA) and the Simple Moving Average (SMA) for a window of 9.
Additionally, it computes the Elliott Wave Oscillator (EWO) and two different Relative Strength Index (RSI) values.
In the "populate_buy_trend" method, the strategy defines conditions for buying. These conditions include the RSI fast value being less than 35, the closing price being below the buy moving average multiplied by a low offset value, the EWO being higher than a specified threshold, the RSI being below a specified buy threshold, the volume being greater than 0, and the closing price being below the sell moving average multiplied by a high offset value. If any of these conditions are met, the "buy" signal is set to 1. In the "populate_sell_trend" method, the strategy defines conditions for selling. These conditions include the closing price being above the Hull Moving Average (HMA) of 50, the closing price being above the sell moving average multiplied by a high offset value or above the HMA, the RSI being above 50, the volume being greater than 0, and the RSI fast value being greater than the RSI slow value. If any of these conditions are met, the "sell" signal is set to 1. Overall, the strategy aims to generate buy signals when certain criteria are met, indicating potential opportunities for buying, and sell signals when different criteria are satisfied, suggesting potential selling opportunities.
stoploss: -0.2 timeframe: 5m hash(sha256): d229037a32d6a14b6b9a32c7e55f2f0b8acc9405e6fe31fefa35335e06355b4c indicators: rsi_buy ma_sell_val volume EWO rsi_slow rsi_fast ewo_high low_offset close high_offset_2 ewo_low rsi high_offset base_nb_candles_sell hma_50 sma_9 base_nb_candles_buy ma_buy_val
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