The SuperTrendPure strategy is a trading strategy implemented in Python for backtesting purposes. Here's a short description of what the strategy does:
The strategy uses the Supertrend indicator, which is an adaptation of the Supertrend indicator for the Freqtrade trading framework. The strategy defines a minimal return on investment (ROI) table, which specifies the target returns for different holding periods.
It sets a stop loss level to limit potential losses.
In this case, the stop loss is set at -0.265, meaning that if the price drops by this percentage from the entry point, the position will be automatically sold.
The strategy implements a trailing stop mechanism, which allows the stop loss level to be adjusted as the price moves in the desired direction. The trailing stop parameters include a positive offset and an offset that determines when the trailing stop should start being applied. The timeframe used for the strategy is set to 1 hour, meaning that it operates based on hourly price data. The strategy requires at least 50 startup candles before making any trading decisions. The strategy populates indicators by calculating the Supertrend values based on the given multiplier and period. The strategy determines buy signals when the price crosses above the Supertrend line and the volume is greater than 0. The strategy determines sell signals when the price crosses below the Supertrend line and the volume is greater than 0. Overall, the SuperTrendPure strategy aims to generate returns by following the Supertrend indicator and using stop loss and trailing stop mechanisms to manage risk and maximize profits.