Smoothing Accumulation/Distribution with Harmonic Filtering

Summary

This indicator example smooths the Accumulation/Distribution (A/D) time series by filtering higher-order harmonics in its spectrum. The document presents the method as a way to smooth other indicator outputs as well, with the stated advantage of practically zero latency.

Users set the series length, a smoothing coefficient, volume type, and horizontal shift. The series length must be a power of two; the coefficient controls which frequencies are removed, and setting it to its maximum makes the A/D series repeat. The document supplies no formulas, charts, or performance tests, so it does not establish how the filter behaves across different markets or parameter choices. It also depends on an external library, which is referenced but not explained here.

Key ideas

• The indicator smooths A/D data by filtering higher-order spectral harmonics.
• The same filtering approach can be applied to other indicator series.
• The series length must be a power of two.
• The smoothing coefficient controls frequency removal, while its maximum setting repeats the series.
• The document claims practically zero latency but provides no supporting performance evidence.

Tags

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