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The BbandRsi strategy is a trading strategy that combines Bollinger Bands and the Relative Strength Index (RSI) to generate buy and sell signals. Here's a breakdown of how the strategy works:
The strategy uses a 1-hour timeframe for analyzing the market. It calculates the RSI indicator with a time period of 14 and adds it to the DataFrame.
It also calculates two sets of Bollinger Bands: The first set uses a window of 20 and standard deviations of 1.
The second set uses the same window of 20 but with standard deviations of 3.
The strategy's buy signal is generated when the following conditions are met: RSI is below 28. The closing price is below the lower Bollinger Band with 3 standard deviations. A 'buy' value of 1 is assigned to the corresponding DataFrame rows. The strategy's sell signal is generated when the following conditions are met: RSI is above 92. The closing price is above the lower Bollinger Band with 1 standard deviation. A 'sell' value of 1 is assigned to the corresponding DataFrame rows. The strategy aims for a minimal return on investment (ROI) defined by the "minimal_roi" attribute, which provides a gradual increase in ROI as the holding period extends. The stoploss is set to -0.426, indicating the maximum loss tolerated before triggering a sell signal. Overall, the strategy uses Bollinger Bands and RSI to identify potential buying and selling opportunities based on overbought and oversold conditions in the market.
It also calculates two sets of Bollinger Bands: The first set uses a window of 20 and standard deviations of 1.
The second set uses the same window of 20 but with standard deviations of 3.
The strategy's buy signal is generated when the following conditions are met: RSI is below 28. The closing price is below the lower Bollinger Band with 3 standard deviations. A 'buy' value of 1 is assigned to the corresponding DataFrame rows. The strategy's sell signal is generated when the following conditions are met: RSI is above 92. The closing price is above the lower Bollinger Band with 1 standard deviation. A 'sell' value of 1 is assigned to the corresponding DataFrame rows. The strategy aims for a minimal return on investment (ROI) defined by the "minimal_roi" attribute, which provides a gradual increase in ROI as the holding period extends. The stoploss is set to -0.426, indicating the maximum loss tolerated before triggering a sell signal. Overall, the strategy uses Bollinger Bands and RSI to identify potential buying and selling opportunities based on overbought and oversold conditions in the market.
stoploss: -0.426 timeframe: 1h hash(sha256): 3501111d18076436634ce8f07175722d420dff1a0739ce953e5f5a68b3959c57 indicators: bb_upperband1 mid lower bb_lowerband1 upper bb_middleband3 bb_upperband3 close bb_middleband1 rsi bb_lowerband3
No similar strategies found. (based on used indicators)
last change: 2023-06-28 06:01:25