SuperTrend Crossover Trading with Adaptive Periods and Loss Exits

Summary

This strategy combines a trend state with crossovers between fast and slow double exponential moving averages. It enters long when the crossover condition turns positive and closes the position on an opposing crossover or a separate trend signal. The script selects different fast and slow periods when its trend filter indicates an uptrend, aiming to behave differently in stronger rising markets. A loss threshold can trigger an exit, while a deeper loss zone suppresses that stop response.

The document gives configurable indicator and loss parameters and publishes a short BTC/USDT spot backtest window, but reports no results, so it does not establish profitability or robustness. The source comments warn that signals can lag and that repainting may still affect backtesting; execution timing also depends on bar closes. It notes that frequent trades raise costs and that thresholds and periods need testing across markets. The strategy is long-only in the provided implementation, despite the prose describing both long and short signals.

Key ideas

• A trend filter selects between normal and uptrend-specific fast and slow DEMA periods.
• Crossovers generate long entries, while opposing crossovers or a trend condition close the position.
• A loss threshold can close a trade, with a deeper loss zone disabling that stop condition.
• The published example reports no performance results, and the source notes possible lag and backtest repainting.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.