The BBRSI strategy is a backtesting strategy implemented in Python for trading cryptocurrencies. It utilizes the Bollinger Bands and Relative Strength Index (RSI) indicators to generate buy and sell signals. Here's a breakdown of the important parts of the strategy:
Indicators:
RSI: Calculates the RSI indicator for the given dataframe.
Bollinger Bands: Calculates the lower, middle, and upper bands of the Bollinger Bands indicator using the typical price.
Buy Signal:
The buy signal is generated when the following conditions are met:
RSI is below 74.
The closing price is below the middle Bollinger Band. Sell Signal:
The sell signal is generated when the following condition is met:
The closing price is above the upper Bollinger Band. Trading Parameters:
Minimal ROI: Specifies the minimum desired return on investment (ROI) for the strategy at different stages. Stoploss: Defines the optimal stop-loss level for the strategy. Trailing Stop: Enables trailing stop functionality. Timeframe: Specifies the timeframe for the strategy, which is set to 15 minutes. Order Types and Time in Force:
Defines the order types for different scenarios (buy, sell, emergency sell, force buy, force sell, stop loss). Specifies the time in force for buy and sell orders (set to 'gtc', meaning "good 'til canceled"). The BBRSI strategy aims to capture potential buying opportunities when the RSI is below a certain threshold and the price is below the middle Bollinger Band. It attempts to sell when the price exceeds the upper Bollinger Band. The strategy also incorporates a stop-loss mechanism and trailing stop functionality to manage risk. Please note that the strategy provided is the default implementation in the Freqtrade bot framework, and it can be overridden or customized to fit specific trading preferences and market conditions.