The "Low_BB" strategy is designed for backtesting trading strategies on a website. Here is a short description of what the strategy does:
The strategy uses Bollinger Bands and MACD indicators to determine buy and sell signals. It calculates the Bollinger Bands with a window size of 20 and 2 standard deviations.
The lower Bollinger Band is used as a buy signal when the closing price crosses below 0.98 times the lower band.
For the sell signal, no specific condition is implemented in the provided code.
The "sell" column is populated with zeros for all rows in the dataframe. The strategy has a predefined minimal ROI (return on investment) and stoploss values, which can be overridden in the configuration file. The minimal ROI specifies the desired minimum returns for different time intervals. The stoploss value represents the optimal stop loss level for the strategy. The ticker interval for the strategy is set to 1 minute. Overall, the strategy aims to buy when the price crosses below the lower Bollinger Band and sell based on a trailing stop loss condition, which is not fully implemented in the given code.