FTB-C000305 / Statistical method

Weighted Moving Average

Weighted Moving Average is a weighted mean evaluated over each declared moving window.

Also known asWMA

Definitions

In plain terms

A common technical-analysis variant gives linearly larger weights to newer observations.

Technical

The implementation freezes window, weight schedule, orientation, normalization, readiness, missing values, and rounding.

Scope

WMA does not universally mean linear newest-heavy weighting unless the schedule is declared.

Formula

WMA_t = sum(w_i * x_i) / sum(w_i) over W_t
LaTeX: WMA_t=\frac{\sum_{i\in W_t}w_i x_i}{\sum_{i\in W_t}w_i}
SymbolMeaningUnit
w_ideclared window weightweight
x_iordered observationinput unit
W_tmoving window ending at tobservations

Output unit: input unit

Examples

  • A governed lesson uses Weighted Moving Average only with declared inputs, timing, parameters, and edge-case behavior.

Common misconceptions

  • WMA does not universally mean linear newest-heavy weighting unless the schedule is declared.

Concept relationships

Where this concept is used

Evidence and governance

  1. Weighted Mean NIST · official standard

    Supports: preferred label, short definition, technical definition, formula

    Limits: The reference does not choose the newest-heavy linear weights used by one technical-analysis WMA convention.

Reviewed by
fintech-builder-batch-006
Last reviewed
2026-07-27
Next review
2027-07-27
Record status
evidence reviewed

This record is evidence-reviewed and readable, but not yet promoted to published — it is served noindex,follow and excluded from the sitemap.