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The ElliotV8HO strategy is a trading strategy that uses various indicators to determine buy and sell signals. Here is a short description of what the strategy does:
populate_indicators():
Calculates moving averages (MA) using the Exponential Moving Average (EMA) indicator for different time periods specified by base_nb_candles_buy and base_nb_candles_sell. Calculates the Hull Moving Average (HMA) using the close price and a window of 50 periods.
Calculates the Simple Moving Average (SMA) with a time period of 9.
Calculates the Elliot Wave Oscillator (EWO) using the EWO function, which takes the dataframe, fast EWO, and slow EWO parameters as inputs.
Calculates the Relative Strength Index (RSI) with time periods of 14, 4, and 20. populate_buy_trend(): Defines buy conditions based on the following criteria: RSI fast is less than 35. Close price is below the MA buy value multiplied by the low offset value. EWO value is greater than the EWO high value. RSI is below the RSI buy value. Volume is greater than 0. Close price is below the MA sell value multiplied by the high offset value. If any of the buy conditions are met, the 'buy' column in the dataframe is set to 1. populate_sell_trend(): Defines sell conditions based on the following criteria: Option 1: Close price is above the HMA. Close price is above the MA sell value multiplied by the high offset 2 value. RSI is above 50. Volume is greater than 0. RSI fast is greater than RSI slow. Option 2: Close price is below the HMA. Close price is above the MA sell value multiplied by the high offset value. Volume is greater than 0. RSI fast is greater than RSI slow. If any of the sell conditions are met, the 'sell' column in the dataframe is set to 1. The strategy aims to generate buy signals when certain conditions are met and sell signals when other conditions are met, based on the calculated indicators and thresholds.
Calculates the Simple Moving Average (SMA) with a time period of 9.
Calculates the Elliot Wave Oscillator (EWO) using the EWO function, which takes the dataframe, fast EWO, and slow EWO parameters as inputs.
Calculates the Relative Strength Index (RSI) with time periods of 14, 4, and 20. populate_buy_trend(): Defines buy conditions based on the following criteria: RSI fast is less than 35. Close price is below the MA buy value multiplied by the low offset value. EWO value is greater than the EWO high value. RSI is below the RSI buy value. Volume is greater than 0. Close price is below the MA sell value multiplied by the high offset value. If any of the buy conditions are met, the 'buy' column in the dataframe is set to 1. populate_sell_trend(): Defines sell conditions based on the following criteria: Option 1: Close price is above the HMA. Close price is above the MA sell value multiplied by the high offset 2 value. RSI is above 50. Volume is greater than 0. RSI fast is greater than RSI slow. Option 2: Close price is below the HMA. Close price is above the MA sell value multiplied by the high offset value. Volume is greater than 0. RSI fast is greater than RSI slow. If any of the sell conditions are met, the 'sell' column in the dataframe is set to 1. The strategy aims to generate buy signals when certain conditions are met and sell signals when other conditions are met, based on the calculated indicators and thresholds.
startup_candle_count : 400 EWO: 0.086%
stoploss: -0.189 timeframe: 5m hash(sha256): 1aaaffde944b15224584d1c1f17caf61822865d87b807c5fd02cdb86d062202b indicators: rsi_buy EWO ewo_high close high_offset_2 ewo_low rsi_fast ma_sell_val ma_buy_val volume low_offset high_offset base_nb_candles_buy base_nb_candles_sell hma_50 sma_9 rsi_slow rsi runmode
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last change: 2023-06-28 09:45:16