Adaptive Bandpass Filtering with Hilbert Phase Accumulation

Summary

The document describes an adaptive bandpass filter intended to isolate market cycles within a selected swing-frequency range while suppressing slower trends and faster noise. It attributes the underlying bandpass-filter concept to John Ehlers and explains that this version adapts the filter period using Hilbert-transform phase accumulation.

The user specifies how many cycles the phase accumulation should span when estimating the current bar period; the setting may be fractional. The stated trading use is to treat changes in the filter’s color as signals. No parameter values, formula details, chart examples, markets, or backtest evidence are provided. As a result, the note introduces the indicator’s purpose and adaptation mechanism but does not establish how reliable its color changes are as trading entries or exits.

Key ideas

• A bandpass filter aims to retain frequencies associated with a target swing period while attenuating trends and high-frequency noise.
• Hilbert-transform phase accumulation is used to adapt the filter period to the current cycle.
• The phase accumulation setting specifies the number of cycles used in estimating the period and may be fractional.
• Color changes are presented as potential trading signals.
• The document gives no empirical validation or implementation parameters.

Tags

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