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The "bbrsi" strategy is a trading strategy that uses several technical analysis (TA) indicators to generate buy and sell signals. Here is a breakdown of what the strategy does:
populate_indicators: This function adds various TA indicators to the given DataFrame, which contains data from the exchange. The indicators added include:
RSI (Relative Strength Index)
Bollinger Bands with a window of 20 and standard deviations of 1 (bb_lowerband1, bb_middleband1, bb_upperband1)
Bollinger Bands with a window of 20 and standard deviations of 4 (bb_lowerband4, bb_middleband4, bb_upperband4)
The function returns the DataFrame with all the mandatory indicators for the strategy.
populate_buy_trend: This function populates the buy signal for the given DataFrame based on the TA indicators.
The buy signal conditions are: RSI is greater than 46 The closing price is below the lower Bollinger Band with 4 standard deviations If these conditions are met, the 'buy' column in the DataFrame is set to 1 to indicate a buy signal.
populate_sell_trend: This function populates the sell signal for the given DataFrame based on the TA indicators. The sell signal conditions are: The 'sell-rsi' (presumably a separate RSI calculation) is greater than 61 The closing price is above the upper Bollinger Band with 1 standard deviation If these conditions are met, the 'sell' column in the DataFrame is set to 1 to indicate a sell signal. Overall, the strategy combines RSI and Bollinger Bands to generate buy and sell signals based on specific thresholds. The buy signal is generated when the RSI is high and the price is below the lower Bollinger Band, while the sell signal is generated when the separate RSI is high and the price is above the upper Bollinger Band.
populate_buy_trend: This function populates the buy signal for the given DataFrame based on the TA indicators.
The buy signal conditions are: RSI is greater than 46 The closing price is below the lower Bollinger Band with 4 standard deviations If these conditions are met, the 'buy' column in the DataFrame is set to 1 to indicate a buy signal.
populate_sell_trend: This function populates the sell signal for the given DataFrame based on the TA indicators. The sell signal conditions are: The 'sell-rsi' (presumably a separate RSI calculation) is greater than 61 The closing price is above the upper Bollinger Band with 1 standard deviation If these conditions are met, the 'sell' column in the DataFrame is set to 1 to indicate a sell signal. Overall, the strategy combines RSI and Bollinger Bands to generate buy and sell signals based on specific thresholds. The buy signal is generated when the RSI is high and the price is below the lower Bollinger Band, while the sell signal is generated when the separate RSI is high and the price is above the upper Bollinger Band.
stoploss: -0.2 timeframe: 1h hash(sha256): 02ff43a79e35e030ca7e8f86b7d19cb52a5532b8657f8b534ee351a801d6e63a
Was not able to fetch indicators from Strategyfile.
last change: 2023-06-30 11:31:11