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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:
Populating Indicators:
Calculates the RSI with a time period of 14 and adds it as a column in the dataframe. Calculates the Bollinger Bands using a window of 20 and standard deviations of 2.
Adds the lower, middle, and upper Bollinger Bands as columns in the dataframe.
Populating Buy Trend: Identifies potential buy signals based on the following conditions: RSI is below 30 (oversold condition).
The closing price is below the lower Bollinger Band. Marks these buy signals by setting the 'buy' column to 1 for the corresponding rows. Populating Sell Trend: Identifies potential sell signals based on the following condition: RSI is above 70 (overbought condition). Marks these sell signals by setting the 'sell' column to 1 for the corresponding rows. Other key details about the strategy: The minimal return on investment (ROI) for the strategy is set to 0.1, meaning it aims for at least a 0.1% return on each trade. The stop loss is set to -0.25, indicating that if a trade goes against the strategy by 0.25%, it will be closed to limit losses. The strategy operates on a 1-minute timeframe, meaning it analyzes price data at 1-minute intervals. Please note that this is just a brief summary of the strategy's functionality. The complete implementation and further customization can be found in the provided code.
Adds the lower, middle, and upper Bollinger Bands as columns in the dataframe.
Populating Buy Trend: Identifies potential buy signals based on the following conditions: RSI is below 30 (oversold condition).
The closing price is below the lower Bollinger Band. Marks these buy signals by setting the 'buy' column to 1 for the corresponding rows. Populating Sell Trend: Identifies potential sell signals based on the following condition: RSI is above 70 (overbought condition). Marks these sell signals by setting the 'sell' column to 1 for the corresponding rows. Other key details about the strategy: The minimal return on investment (ROI) for the strategy is set to 0.1, meaning it aims for at least a 0.1% return on each trade. The stop loss is set to -0.25, indicating that if a trade goes against the strategy by 0.25%, it will be closed to limit losses. The strategy operates on a 1-minute timeframe, meaning it analyzes price data at 1-minute intervals. Please note that this is just a brief summary of the strategy's functionality. The complete implementation and further customization can be found in the provided code.
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.25 timeframe: 1m hash(sha256): 70dbbcdefd1fd6048c04ca31447bcc0dcd35d3662bf819cb632ca0e5008edb11 indicators: upper mid lower bb_middleband rsi close bb_upperband bb_lowerband
No similar strategies found. (based on used indicators)
last change: 2024-08-02 08:52:54