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The bbrsi7ss strategy is a trading strategy that utilizes various technical indicators to generate buy and sell signals. The strategy is implemented as a class that inherits from the IStrategy interface. The strategy consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend.
The populate_indicators function calculates and adds several technical indicators to the given DataFrame.
These indicators include: Relative Strength Index (RSI): It measures the strength and momentum of price movements.
Bollinger Bands: It consists of three lines - the lower band, middle band, and upper band - that represent volatility levels. The populate_buy_trend function populates the buy signal for the DataFrame based on the calculated indicators. In this case, the buy signal is triggered when the closing price is below the lower Bollinger Band with a larger standard deviation (bb_lowerband3). The populate_sell_trend function populates the sell signal for the DataFrame based on the indicators. In this case, the sell signal is triggered when the RSI is above 92 and the closing price is above the lower Bollinger Band with a smaller standard deviation (bb_lowerband1). Overall, the strategy aims to identify buying opportunities when the price is below the lower Bollinger Band and selling opportunities when the RSI is high and the price is above the lower Bollinger Band. Please note that this is a brief description of the strategy, and further details or customization may be required depending on the specific implementation and goals of the backtesting website.
The populate_indicators function calculates and adds several technical indicators to the given DataFrame.
These indicators include: Relative Strength Index (RSI): It measures the strength and momentum of price movements.
Bollinger Bands: It consists of three lines - the lower band, middle band, and upper band - that represent volatility levels. The populate_buy_trend function populates the buy signal for the DataFrame based on the calculated indicators. In this case, the buy signal is triggered when the closing price is below the lower Bollinger Band with a larger standard deviation (bb_lowerband3). The populate_sell_trend function populates the sell signal for the DataFrame based on the indicators. In this case, the sell signal is triggered when the RSI is above 92 and the closing price is above the lower Bollinger Band with a smaller standard deviation (bb_lowerband1). Overall, the strategy aims to identify buying opportunities when the price is below the lower Bollinger Band and selling opportunities when the RSI is high and the price is above the lower Bollinger Band. Please note that this is a brief description of the strategy, and further details or customization may be required depending on the specific implementation and goals of the backtesting website.
stoploss: -0.384 timeframe: 15m hash(sha256): 722c20bc2587f33cb504a8c5c51d69e6431068aefaf46904543916d314c87ce1 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: 2023-09-30 10:37:33