Parafrac V2 Normalizes Parabolic SAR with ATR for Smoother Signals

Summary

The article presents Parafrac V2, an oscillator that combines Parabolic SAR with Average True Range. It replaces the original Parafrac oscillator’s use of discrete fractal pivots with ATR as a continuous, smoothed measure of price range. The SAR-to-price distance is normalized by ATR, producing positive or negative readings according to trend direction; the stated aim is to reduce anomalous spikes and make readings more comparable across instruments.

The author discusses using oscillator thresholds and crosses to assess trend direction, divergence, and potentially overextended conditions. ATR period affects responsiveness and smoothing, while the article suggests users set their own thresholds and validate rules with backtesting and additional filters. The evidence is mainly chart comparisons and qualitative observations, not a quantified performance study. The conclusion explicitly leaves rigorous comparisons of sensitivity, accuracy, and profitability to future research, so the oscillator’s trading value remains unproven.

Key ideas

• Parafrac V2 scales the distance between price and Parabolic SAR by ATR.
• ATR replaces discrete fractal pivots with a continuous volatility estimate intended to reduce spike sensitivity.
• The oscillator’s sign represents trend direction, while threshold crossings and divergences are proposed as analytical signals.
• Changing the ATR period trades faster response against smoother readings.
• The article offers illustrative comparisons but no measured evidence of profitability.

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