A Rolling Dollar-Volume Percentile Index for Market Activity
Summary
The Trading Activity Index gauges whether an instrument is unusually busy or quiet relative to its own recent history. It starts with price multiplied by volume, averages that dollar-volume measure over a short formation window, then applies a logarithm to compress its scale. Rolling percentile thresholds divide the resulting series into activity zones, while a color gradient shows its position within the recent range. The document explains an implementation that estimates multiple rolling percentiles with a histogram, reducing computation compared with repeated search methods.
The proposed reading is contextual: elevated activity can help confirm breakouts or trend legs, while unusually quiet readings can flag weak participation or inform mean-reversion filters. The percentile bands adapt as activity regimes change, so they do not represent fixed cross-market thresholds. The histogram only approximates percentile values, and the document provides no independent performance study, transaction costs, or evidence that the suggested filters improve returns. Activity should therefore be treated as a participation measure to combine with a separately tested trading method, not as a standalone directional signal.
Key ideas
- The index uses price times volume to measure traded value rather than raw units traded.
- A moving average and logarithm compress dollar-volume readings into a more readable activity series.
- Rolling percentile bands compare current activity with the instrument's own recent history.
- A histogram estimates several percentile thresholds in one pass, with some resolution error.
- High or low activity can contextualize breakout and mean-reversion decisions, but the index is not independently validated as a trading signal.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.