The BBRSIOptimizedStrategy is a trading strategy that uses Bollinger Bands and the Relative Strength Index (RSI) to generate buy and sell signals. Here's a breakdown of how the strategy works:
Indicators:
RSI: The strategy calculates the RSI indicator using the ta.RSI function and adds it to the dataframe. Bollinger Bands: The strategy calculates the upper band, middle band, and lower band of the Bollinger Bands using the qtpylib.bollinger_bands function and adds them to the dataframe.
Buy Signal:
The strategy generates a buy signal when the following conditions are met:
RSI is greater than 38.
The closing price is lower than the lower Bollinger Band (2 standard deviations below the middle band).
Sell Signal:
The strategy generates a sell signal when the following conditions are met:
RSI is greater than 88. The closing price is higher than the middle Bollinger Band. Minimal ROI and Stoploss:
The strategy defines a minimal return on investment (ROI) and stoploss values. The ROI values specify the desired minimum return at different stages of holding a position, while the stoploss value indicates the maximum acceptable loss before selling a position. Ticker Interval and Candle Count:
The strategy is designed to work with 15-minute candle intervals. It requires a startup candle count of 30, meaning it needs at least 30 candles of data before generating valid signals. Order Type and Time in Force:
The strategy specifies the order types for buying and selling as 'limit', and the order time in force as 'gtc' (good till canceled). Plot Configuration:
The strategy provides a plot configuration that visualizes the Bollinger Bands and RSI indicators on the chart. Overall, the strategy aims to capture buying opportunities when the price is relatively low compared to the lower Bollinger Band and the RSI is in a favorable range. It looks for selling opportunities when the price is relatively high compared to the middle Bollinger Band and the RSI is overbought. The minimal ROI and stoploss values help manage risk and define the strategy's target returns and maximum loss thresholds.