By Islam BarakaDefinitions
In plain terms
It groups nearby confirmed highs or lows while leaving isolated pivots as explicit noise.
Technical
The selected method runs one-dimensional DBSCAN separately by pivot kind in natural-log price space and reports median levels and observed bounds.
Scope
A cluster is descriptive evidence of repeated geometry, not a guaranteed future barrier.
Examples
- A reviewer computes Support/Resistance Clustering on a small deterministic fixture and checks timing, units, and boundary behavior before publication.
Common misconceptions
- A cluster is descriptive evidence of repeated geometry, not a guaranteed future barrier.
Concept relationships
Prerequisites
Related
Required by
- Same-Kind Level Clustering
- Robust Trendline Fitting
- Log-Price Trendline
- Two-Point Line Hypothesis
- Consensus Inlier
- Residual Tolerance
- Maximum-Consensus Selection
- Deterministic Trendline Tie-Break
- Locked Inlier Membership
- Log-Price OLS Refit
- Trendline Slope per Bar
- Trendline Intercept
- Median Residual BPS
- Projection at Requested Index
- Minimum Inlier Rule
- Trendline Extrapolation Scope
Where this concept is used
Tutorials planned
These catalogued topics use this concept, but their complete build has not shipped yet.
- D08-F01-A03 Primary
- D08-F01-A04 Prerequisite
Evidence and governance
- 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, formula
Limits: The original paper is not about financial support or resistance; that application is a package design.
- sklearn.cluster.DBSCAN scikit-learn · first party technical publication
Supports: preferred label, short definition, technical definition, formula
Limits: The package implements deterministic one-dimensional DBSCAN directly for Python/TypeScript parity.
- Pine Script pivot techniques TradingView · official platform documentation
Supports: preferred label, short definition, technical definition, formula
Limits: The package freezes its own equality, separation, and OHLC policies rather than claiming one universal pivot definition.
- numpy.log NumPy · first party technical publication
Supports: preferred label, short definition, technical definition, formula
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.