FTB-C000622 / Formula component

Cluster Bounds

Cluster Bounds is the minimum and maximum observed member prices reported for one cluster.

Advanced 1 linked topicEvidence-reviewed

Definitions

In plain terms

Bounds show the historical range of the pivots that formed the cluster.

Technical

lower=min(member prices) and upper=max(member prices); they are observed extrema, not confidence bounds.

Scope

Calling bounds support and resistance guarantees adds an unsupported forecast claim.

Examples

  • A reviewer computes Cluster Bounds on a small deterministic fixture and checks timing, units, and boundary behavior before publication.

Common misconceptions

  • Calling bounds support and resistance guarantees adds an unsupported forecast claim.

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.

  • D08-F01-A03 Important

Evidence and governance

  1. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise Ester, Kriegel, Sander, Xu · first party technical publication

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

    Limits: The original paper is not about financial support or resistance; that application is a package design.

  2. sklearn.cluster.DBSCAN scikit-learn · first party technical publication

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

    Limits: The package implements deterministic one-dimensional DBSCAN directly for Python/TypeScript parity.

  3. Pine Script pivot techniques TradingView · official platform documentation

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

    Limits: The package freezes its own equality, separation, and OHLC policies rather than claiming one universal pivot definition.

  4. numpy.log NumPy · first party technical publication

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

    Limits: A log transform requires positive finite prices and does not by itself define a financial level.

Reviewed by
fintech-builder-batch-011
Last reviewed
2026-08-09
Next review
2027-08-09
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.

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.