VIDYA: An Exponential Average Adapted to Market Volatility

Summary

The document explains the Variable Index Dynamic Average, an adaptive form of the exponential moving average associated with Tushar Chande. Its smoothing factor is scaled by a measure of market activity, so the effective averaging speed changes with conditions. The example uses the absolute Chande Momentum Oscillator as that scaling input; the description also mentions RSI, close-price standard deviation, and the coefficient of determination as possible ways to represent volatility or activity. The included formula illustrates how the current close and previous VIDYA value are combined recursively.

The source claims this adaptation can reduce false signals relative to fixed moving averages, particularly in ranging markets, but offers no empirical comparison or test results. It notes that parameter choices must keep the recursive weight valid. VIDYA is an indicator construction rather than a complete entry, exit, or risk-management strategy, and the document does not specify how traders should turn its values into trades.

Key ideas

• VIDYA modifies an exponential moving average so its smoothing responds to a market activity measure.
• The example scales the smoothing factor using the absolute value of the Chande Momentum Oscillator.
• Other proposed activity measures include RSI, close-price standard deviation, and the coefficient of determination.
• The claimed reduction in false signals is not supported by performance evidence in the document.

Tags

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