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The MultiRSI strategy is a trading strategy that uses multiple timeframes and the Relative Strength Index (RSI) indicator to determine buy and sell signals. Here is a breakdown of how the strategy works:
Indicator Calculation:
The strategy calculates two simple moving averages (SMAs) on the input data: a 5-period SMA (sma5) and a 200-period SMA (sma200). It then resamples the data to two different timeframes: one that is twice the ticker indicator timeframe (dataframe_short) and another that is eight times the ticker indicator timeframe (dataframe_long).
RSI is calculated for both resampled dataframes: dataframe_short and dataframe_long.
The RSI is also calculated for the original dataframe.
All calculated indicators are merged back into the original dataframe. Buy Signal: To generate a buy signal, the following conditions must be met: The sma5 must be greater than or equal to sma200, indicating a potential bullish trend. The RSI of the current timeframe must be lower than the RSI of the resampled dataframe_long by 20 points. If these conditions are met, a 'buy' signal is generated for the corresponding timeframe. Sell Signal: To generate a sell signal, the following conditions must be met: The RSI of the current timeframe must be higher than the RSI of both resampled dataframes (dataframe_short and dataframe_long). If these conditions are met, a 'sell' signal is generated for the corresponding timeframe. The strategy sets a minimal return on investment (ROI) of 0.01 and a stop loss of -0.05, which indicates the desired profit target and maximum acceptable loss for each trade, respectively. The strategy operates on a 5-minute timeframe. Please note that this is a simplified description of the strategy, and there may be additional factors or considerations not mentioned here. It is recommended to review the complete code and consult the original author for a comprehensive understanding of the strategy.
RSI is calculated for both resampled dataframes: dataframe_short and dataframe_long.
The RSI is also calculated for the original dataframe.
All calculated indicators are merged back into the original dataframe. Buy Signal: To generate a buy signal, the following conditions must be met: The sma5 must be greater than or equal to sma200, indicating a potential bullish trend. The RSI of the current timeframe must be lower than the RSI of the resampled dataframe_long by 20 points. If these conditions are met, a 'buy' signal is generated for the corresponding timeframe. Sell Signal: To generate a sell signal, the following conditions must be met: The RSI of the current timeframe must be higher than the RSI of both resampled dataframes (dataframe_short and dataframe_long). If these conditions are met, a 'sell' signal is generated for the corresponding timeframe. The strategy sets a minimal return on investment (ROI) of 0.01 and a stop loss of -0.05, which indicates the desired profit target and maximum acceptable loss for each trade, respectively. The strategy operates on a 5-minute timeframe. Please note that this is a simplified description of the strategy, and there may be additional factors or considerations not mentioned here. It is recommended to review the complete code and consult the original author for a comprehensive understanding of the strategy.
stoploss: -0.05 timeframe: 5m hash(sha256): 7d77e2e144594bb355d031c25717716941d759b4e8454fed4cacc25e221a2883 indicators: sma5 _long _short _shortrsi rsi _longrsi sma200
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last change: 2022-07-02 19:54:08