Adapting EMA Length Through Hilbert Phase Accumulation
Summary
This indicator adapts an exponential moving average using phase information derived from a Hilbert Transform. The document describes the transform as splitting price information into in-phase and quadrature components using current and prior price differences with feedback. It then accumulates one-bar in-phase values to estimate how many bars are needed to reach a target cycle, adjusting the average to changing market conditions.
Like conventional moving averages, the indicator changes color when its slope changes, and those color shifts may be used as signals. The description offers a conceptual account but no formula, parameter settings, chart examples, or backtest results. It does not establish that the adaptive average or color changes produce profitable trades; users would need to evaluate lag, whipsaws, and performance across markets and regimes.
Key ideas
- The method uses Hilbert Transform phase components to adapt the EMA period to market conditions.
- It accumulates one-bar in-phase values to estimate the bars needed to reach a chosen cycle.
- Color changes indicate shifts in the average’s slope and are presented as possible signals.
- The document provides no equations, parameter guidance, or empirical evidence of trading performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.