FTB-C000293 / Algorithm

Scale-Aware Candle Classification

Scale-Aware Candle Classification assigns candle labels using measurements normalized or compared with a governed contextual scale.

Also known ascontextual candle classification

Intermediate 1 linked topicPublished

Definitions

In plain terms

It lets the same raw body length be small in a volatile context and large in a quiet context.

Technical

The algorithm freezes geometry metric, lookback, statistic, lagging, threshold factors, readiness, missing data, and class precedence.

Scope

Scale-aware does not mean the thresholds are universal or self-validating.

Examples

  • A governed lesson uses Scale-Aware Candle Classification only with declared inputs, timing, parameters, and edge-case behavior.

Common misconceptions

  • Scale-aware does not mean the thresholds are universal or self-validating.

Concept relationships

Prerequisites

Related

Required by

Where this concept is used

Tutorials planned

These catalogued topics use this concept, but their complete build has not shipped yet.

  • D06-F01-A02 Primary

Evidence and governance

  1. TA-Lib Global Candle Settings TA-Lib · first party technical publication

    Supports: preferred label, short definition, technical definition

    Limits: TA-Lib defaults are library conventions and do not establish universal definitions for small or large candle bodies.

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

Fintech engineer building market-data and financial systems, and the author of every article, glossary record, and reference implementation on The Fintech Builder.