Measuring Price-Volatility and Volume-Variability Correlation Across Windows

Summary

This indicator compares rolling variability in closing prices with rolling variability in volume across a range of lookback windows. For each window, it calculates standard deviations for price and volume, then correlates those series over a separate smoothing length. The resulting set of correlation readings is plotted together, with color indicating whether price volatility is rising or falling and shade distinguishing the window length.

The indicator also summarizes the readings with minimum, maximum, and average lines, and displays a histogram of the current and recent distribution of correlation values. The author describes higher readings as stronger synchronicity between price behavior and volume changes. This is a visualization and exploratory measure, not a defined entry or exit strategy. The page provides no empirical validation or evidence that the correlation predicts returns; interpretation may depend on the asset, volume quality, lookback choices, and market regime.

Key ideas

• The indicator correlates rolling standard deviations of closing price and volume at multiple lookback lengths.
• The color scheme marks rising versus falling price volatility, while shade represents the window length.
• Minimum, maximum, and average readings summarize the correlation values across windows.
• A histogram displays the current and aggregated recent distribution of those readings.
• The indicator is descriptive and supplies no demonstrated predictive or trading performance.

Tags

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