PSAR Trend Reversals with Regression-Based Volatility Bands

Summary

This indicator combines Parabolic SAR with a linear regression channel to create a trailing line that changes with the inferred trend. It fits a regression to recent SAR values, estimates residual dispersion, and offsets the SAR by a deviation-scaled amount. Price crossing the resulting line generates a long entry on an upward cross or a short entry on a downward cross.

The listed settings use a 100-bar regression length and a deviation factor of 1.9, alongside the standard SAR inputs. The document gives a short BTC/USDT futures backtest window at 15-minute resolution, but includes no performance statistics or discussion of risks. It describes the indicator as a way to catch trends early, but that claim is not supported by reported results. As with other reversal-based trailing signals, the crossings may lag, whipsaw in sideways markets, or react poorly when conditions shift; those limits are not evaluated in the document.

Key ideas

• The indicator applies linear regression to recent Parabolic SAR values.
• Residual dispersion sets the width of offsets around the SAR reference.
• Price crossing the adaptive line triggers a long or short strategy entry.
• The document lists short-window BTC futures backtest settings but reports no results.

Tags

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