Weighted Deviation as a More Responsive Dispersion Indicator

Summary

This brief indicator note describes a weighted deviation measure that applies linear weighting throughout its calculation. It distinguishes the measure from a built-in deviation function that uses a linear weighted moving average as its averaging method. The note characterizes the resulting indicator as more responsive than standard deviation and recommends using it as a general deviation indicator.

The document does not provide a formula, parameter choices, worked example, chart, comparison data, or trading rules. It therefore offers only a high-level description of the weighting idea and its claimed responsiveness; readers cannot evaluate how the calculation behaves or whether it is useful for a particular market or time frame from the material provided. It also does not specify how to interpret indicator values or validate them empirically.

Key ideas

• The measure applies linear weights throughout its deviation calculation.\nIt is presented as distinct from built-in deviation calculations using a linearly weighted moving average method.\nThe note claims it responds more quickly than standard deviation.\nNo formula, parameters, examples, or performance evidence are provided.\nThe suggested role is as a general-purpose deviation indicator.

Tags

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