Using the Gopalakrishnan Range Index to Measure Market Volatility
Summary
The article explains the Gopalakrishnan Range Index (GRI), also called the Range of Chaos Index, as a way to quantify recent price activity from the range of closing prices over a chosen lookback. It describes taking the maximum close minus the minimum close, then applying a logarithmic normalization by the logarithm of the period. Larger values are interpreted as greater volatility, while low values suggest a quieter, narrower market. The implementation discussion offers variants: shifting the range by one so the scale approaches zero from above, then scaling by the instrument’s point size to make thresholds easier to enter in an Expert Advisor.
Proposed uses include filtering trend signals, identifying volatility expansion after a lull, distinguishing quiet from active conditions, and adjusting other system parameters with market activity. The article says an Expert Advisor test over a selected historical interval showed a positive result, but supplies no detailed performance statistics in the excerpt. GRI is a range-based indicator, so its values depend on the instrument, period, and scaling choice; the suggested interpretations are not evidence that a spike predicts a profitable move.
Key ideas
- GRI applies logarithmic normalization to the range between the highest and lowest closes over a lookback period.
- Higher readings indicate a wider recent closing-price range, while low readings indicate quieter conditions.
- Adding one to the range makes the indicator scale approach zero from above; dividing by point size rescales values for settings.
- The article suggests using GRI to filter signals, classify market conditions, and adapt system parameters.
- Interpretation depends on the instrument, lookback, and formula variant, and the reported test lacks detailed performance evidence.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.