Parabolic SAR Trend Signals Filtered by Fast and Slow EMAs

Summary

This trend-following strategy combines Parabolic SAR with a slow EMA and a faster EMA. It seeks long entries when price and SAR conditions indicate an upward shift and price is above the slow EMA plus an offset; short entries use corresponding downward conditions below the slow EMA minus the offset. Fast and slow EMA crossovers also factor into the entry logic. The script closes positions when price crosses SAR and includes configurable SAR sensitivity, EMA lengths, and an offset.

The document argues that the EMA filters may reduce false SAR signals, but reports no measured evidence or backtest results. It identifies range-bound markets as a source of whipsaws, EMA lag as a possible cause of late entries, and volatile moves as a risk to stops. The published test settings concern BTC/USDT futures, while the strategy description does not provide performance figures. Its written signal conditions and source code are not fully consistent, so implementation details should be checked before relying on the rules.

Key ideas

• The strategy uses Parabolic SAR reversals with slow-EMA price thresholds to form directional entries.
• Fast and slow EMA crossovers provide an additional entry condition.
• SAR sensitivity, EMA lengths, and the EMA offset are configurable.
• The document highlights whipsaws in ranging markets, indicator lag, and volatility-related stop risk.
• No performance evidence is reported, and the prose and source signal rules differ in places.

Tags

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