FTB-C000336 / Indicator

MESA Adaptive Moving Average

MESA Adaptive Moving Average is an adaptive recursive average whose smoothing rate responds to estimated phase change in the input cycle.

Also known asMAMA

Advanced 1 linked topicEvidence-reviewed

Definitions

In plain terms

It is paired with a slower following adaptive moving average and uses bounded fast and slow limits.

Technical

Exact output requires a fully pinned signal-processing implementation, coefficients, state, clamps, seed, warm-up, and numerical precision.

Scope

MAMA is not KAMA and its MESA name does not make every implementation identical.

Examples

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

Common misconceptions

  • MAMA is not KAMA and its MESA name does not make every implementation identical.

Concept relationships

Prerequisites

Related

Required by

Where this concept is used

Evidence and governance

  1. MESA Adaptive Moving Averages John F. Ehlers / Technical Analysis of Stocks and Commodities · first party methodology

    Supports: preferred label, short definition, technical definition

    Limits: The abstract alone is insufficient for code parity; exact coefficients, state, clamps, and warm-up require a pinned implementation contract.

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.