The BBRSI strategy is a default strategy provided by the Freqtrade bot. It is designed for backtesting trading strategies. Here's a short description of what the strategy does:
The strategy uses various technical analysis (TA) indicators to make buy and sell decisions.
It calculates the Relative Strength Index (RSI) using the ta.RSI function and adds it to the dataframe.
It also calculates Bollinger Bands using the qtpylib.bollinger_bands function with a window of 20 and 2 standard deviations.
The strategy populates the "buy" signal in the dataframe when the RSI is greater than 30 and the closing price is below the lower Bollinger Band. Similarly, it populates the "sell" signal when the closing price is above the middle Bollinger Band. The strategy uses a minimal return on investment (ROI) and stop loss values, but the values are not specified in the code. The ticker interval for the strategy is set to 1 hour. The strategy uses "limit" order types for buying and selling, and "gtc" (good 'til canceled) time in force for orders. Please note that the code provided is incomplete, and certain parameters such as minimal ROI and stop loss values are not specified.
It calculates the Relative Strength Index (RSI) using the ta.RSI function and adds it to the dataframe.
It also calculates Bollinger Bands using the qtpylib.bollinger_bands function with a window of 20 and 2 standard deviations.
The strategy populates the "buy" signal in the dataframe when the RSI is greater than 30 and the closing price is below the lower Bollinger Band. Similarly, it populates the "sell" signal when the closing price is above the middle Bollinger Band. The strategy uses a minimal return on investment (ROI) and stop loss values, but the values are not specified in the code. The ticker interval for the strategy is set to 1 hour. The strategy uses "limit" order types for buying and selling, and "gtc" (good 'til canceled) time in force for orders. Please note that the code provided is incomplete, and certain parameters such as minimal ROI and stop loss values are not specified.
stoploss: -0.99 timeframe: 1h hash(sha256): 26f5b80297c887d6fb409c1b126f3ff7d24571be95d7195844fe4eaf9b00baa3
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last change: 2024-04-28 00:08:00