Smoothing Williams %R with Harmonic Filtering

Summary

The document describes an indicator that smooths the Larry Williams Percent Range (WPR) time series by filtering higher-order harmonics. It presents this as a general method that can also be applied to the output of other indicators, with practically zero latency as its stated advantage.

The main controls include a power-of-two series length and a smoothing coefficient that removes frequencies above a selected level. The coefficient cannot exceed the spectrum size; at the maximum value, the WPR series is repeated rather than smoothed. The document lists additional settings for the force period, moving-average type, applied volume, and horizontal shift. It explains the indicator’s inputs but gives no performance tests, trading rules, or evidence that the smoothing improves signals. Its practical value and behavior therefore need to be assessed for the intended market and use case.

Key ideas

• The indicator smooths Williams %R by filtering higher-order harmonics.
• The described filtering approach can be applied to other indicator time series.
• The smoothing coefficient sets the frequency cutoff and is capped by the spectrum size.
• At the maximum smoothing coefficient, the source WPR series is repeated.
• The document claims practically zero latency but provides no performance evidence.

Tags

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