The RalliV1_disable56 strategy is a trading strategy that uses various indicators to generate buy and sell signals. Here is a short description of what the strategy does:
The populate_indicators function calculates and adds several indicators to the input dataframe:
Moving averages (MA) for different time periods (defined by self.base_nb_candles_buy.range and self.base_nb_candles_sell.range). Hull Moving Average (HMA) with windows of 50 and 9.
Exponential Moving Averages (EMA) with time periods of 100, 14, and 9.
The Elder's Force Index (EWO).
Relative Strength Index (RSI) with time periods of 14, 4, and 20. The populate_buy_trend function defines buy conditions based on the calculated indicators and assigns a value of 1 to the 'buy' column in the dataframe if the conditions are met. The buy conditions include checks for: MA buy values being lower than the EMA 100. SMA 9 being lower than MA buy values. RSI fast being between 4 and 35. Close price being below a certain offset from MA buy values and above a certain offset from MA sell values. EWO being above a certain threshold. RSI being below a specified value. Volume being greater than zero. The populate_sell_trend function defines sell conditions based on the indicators and assigns a value of 1 to the 'sell' column if the conditions are met. The sell conditions include checks for: HMA 50 being greater than EMA 100 and close price being above SMA 9. Close price being above a certain offset from MA sell values. Close price being below EMA 100. RSI fast being greater than RSI slow. Volume being greater than zero. The strategy aims to generate buy signals when specific conditions are met and sell signals when different conditions are satisfied. It utilizes moving averages, RSI, EWO, and other indicators to determine the appropriate times to enter and exit trades.
Exponential Moving Averages (EMA) with time periods of 100, 14, and 9.
The Elder's Force Index (EWO).
Relative Strength Index (RSI) with time periods of 14, 4, and 20. The populate_buy_trend function defines buy conditions based on the calculated indicators and assigns a value of 1 to the 'buy' column in the dataframe if the conditions are met. The buy conditions include checks for: MA buy values being lower than the EMA 100. SMA 9 being lower than MA buy values. RSI fast being between 4 and 35. Close price being below a certain offset from MA buy values and above a certain offset from MA sell values. EWO being above a certain threshold. RSI being below a specified value. Volume being greater than zero. The populate_sell_trend function defines sell conditions based on the indicators and assigns a value of 1 to the 'sell' column if the conditions are met. The sell conditions include checks for: HMA 50 being greater than EMA 100 and close price being above SMA 9. Close price being above a certain offset from MA sell values. Close price being below EMA 100. RSI fast being greater than RSI slow. Volume being greater than zero. The strategy aims to generate buy signals when specific conditions are met and sell signals when different conditions are satisfied. It utilizes moving averages, RSI, EWO, and other indicators to determine the appropriate times to enter and exit trades.
startup_candle_count : 200 hma_50: 0.001% ema_100: -0.026% rsi_slow: 0.002%
stoploss: -0.3 timeframe: 5m hash(sha256): 623e39c7d09c83ffcc98a081ae488607e77b7e08a82fc92e571ccce2b8e4129b indicators: rsi_buy EWO ewo_high ewo_low high_offset_2 close ewo_high_2 sell_signal ema_9 rsi_fast ma_sell_val ema_14 ma_buy_val volume low_offset high_offset low_offset_2 base_nb_candles_buy hma_9 rsi_buy_2 base_nb_candles_sell hma_50 sma_9 ema_100 rsi_slow rsi low
Similar Strategies: (based on used indicators)
Strategy: RV1X, Similarity Score: 92.86%
Strategy: RalliV1_2, Similarity Score: 92.86%
last change: 2024-05-02 14:08:11