Variable Moving Average: Adapting EMA Smoothing with a Momentum-Based Volatility Index

Summary

A variable moving average adjusts its smoothing in response to changing market conditions. The document contrasts this with fixed smoothing, which can lag during reversals or produce false signals when prices move sideways. It describes a modified VIDYA approach in which a volatility index based on the Chande Momentum Oscillator controls how strongly the average responds to current prices. The historical account notes that an earlier version used standard deviation for this role.

The provided indicator procedure smooths positive and negative price movements, derives a normalized directional measure, scales it over a rolling range, and uses that value to vary the moving average’s effective smoothing. This is an indicator description and implementation example, not evidence of profitable trading performance. It does not specify a trading rule, benchmark, or test results, and adaptive responsiveness alone cannot establish signal quality or robustness across assets and market regimes.

Key ideas

• The variable moving average changes its effective smoothing according to a market-derived index.
• The described version uses a Chande Momentum Oscillator based measure as its volatility input.
• The adaptive approach is intended to respond more quickly in some conditions and more slowly in others.
• The document supplies indicator logic but no standalone entry, exit, or risk management rules.
• It gives no empirical performance evidence, so usefulness must be evaluated in the intended market and timeframe.

Tags

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