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Structural SVM Ranker

Uses a Support Vector Machine model trained on market structure features to output a rank score from 0–100. High scores indicate strong bullish structural alignment; low scores indicate bearish. No repainting.

Machine LearningStructurePro
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About This Indicator

Structural SVM Ranker applies a trained Support Vector Machine (SVM) classification model to a curated set of market structure features including swing structure, BOS/CHoCH patterns, order block proximity, and volume profile data then normalises the output into a 0–100 rank score.

A reading above 70 indicates strong bullish structural alignment across all tracked features. Below 30 signals strong bearish conviction. The 40–60 neutral zone represents chop ideal for sitting on hands or reducing size. No repainting on closed bars.

Key Features

  • SVM model trained on real market structure feature sets
  • 0–100 continuous rank score with colour-coded histogram
  • Detects BOS, CHoCH, and order block alignment automatically
  • Optional signal labels at score threshold crossovers
  • Zero repainting on confirmed (closed) bars
  • Fully configurable model weights via input panel

How to Use

  • Score > 70: Look for long entries; bias strongly bullish
  • Score < 30: Look for short entries; bias strongly bearish
  • 40–60 range: Avoid new positions structure is inconclusive
  • Best on 15m–4H charts; use Daily for overall directional bias
  • Combine with FVG or order block indicators for entry triggers