Logarithmic Garman–Klass Volatility as a Non-Directional Measure
Article MQL5 code base
Summary
The document identifies logarithmic Garman–Klass volatility as one possible method for estimating volatility. It offers no derivation, formula, input requirements, comparison with other estimators, or empirical results, so it serves only as a brief pointer to the estimator rather than a practical implementation guide.
Its main interpretive caveat is that the measure is not directional: it is intended to assess volatility, not predict whether prices will rise or fall. The document provides no assets, time horizon, calibration guidance, or evidence about performance, leaving those choices to further research.
Key ideas
- Logarithmic Garman–Klass is presented as one possible volatility estimator.
- The measure is not intended to predict market direction.
- The document gives no formula or empirical comparison to guide implementation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.