Volume-Adaptive Moving Average Bands for Trend Filtering

Summary

The document describes an elastic volume-weighted moving average (eWMA) and a band intended to mark possible support or resistance and help identify trend changes. The average updates using current volume relative to the sum of volume over a chosen period, so higher-volume observations have greater influence. The example initializes the average from closing prices, then compares it with earlier extrema of the average to switch the displayed band between a recent high and low.

The method is presented as an indicator for buy or sell triggers or trend filtering, rather than as a tested trading system. It requires instruments with volume data. The document provides an implementation example and default period and lookback settings, but no backtest, performance evidence, execution rules, or risk controls. Its description of the band and trend-change condition is brief, so the example’s exact behavior and suitability should be checked before use.

Key ideas

• The eWMA adjusts its price weighting according to observed trading volume.
• The example seeds the average with closing prices before applying its volume-based update.
• Recent extrema of the eWMA are used to construct a changing support or resistance band.
• The indicator is proposed for trend filtering or trigger generation, but no performance evidence is provided.
• Volume data is required for the calculation.

Tags

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