Cybernetic Oscillator: Filtered and RMS-Normalized Momentum
Summary
This document explains a momentum oscillator built from a second-order high-pass filter, a second-order Super Smoother, and rolling root-mean-square normalization. The high-pass stage removes slower price movement, smoothing reduces noise, and normalization scales the filtered signal by its recent energy. The resulting series is centered on zero, with optional positive and negative threshold bands to help interpret direction and stronger moves.
It describes how filter periods, the normalization window, and threshold settings affect responsiveness, noise, and scaling. Suggested uses include watching zero-line changes for directional bias, looking for pullback continuation in trends, and fading threshold extremes near range boundaries. The document also recommends defining trade invalidation and sizing positions. These are illustrative approaches, not tested performance claims: it provides no empirical results or validation across instruments. It cautions that thresholds are contextual and that excessive filtering can mute signals; the indicator alone does not establish a reliable entry or exit rule.
Key ideas
- A high-pass filter followed by smoothing isolates price swings while reducing noise.
- Rolling RMS scaling makes oscillator amplitude less dependent on recent volatility.
- Zero-line crossings indicate changes in the oscillator’s directional polarity.
- Threshold extremes can support trend-continuation or range-reversion interpretations, depending on regime.
- Filter periods and thresholds trade responsiveness against noise and lag.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.