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Unsupervised Pattern Recognition

Spot Repeating Price Patterns Using KNN and Lorentzian Distance

Unsupervised Machine Learning For Pattern Similarity

The tool applies unsupervised KNN to match current market behavior with historical setups. Instead of relying on predictions, it recalls similar price patterns from the past based on structure alone. No training. No labels. Just pattern recognition.

Clear Visual Signals from Past Pattern Outcomes

Each match shows whether price moved up, down, or stayed flat after similar setups. Directional signals come from comparing past outcomes, not forecasting.

Adjust Sensitivity to Fit Your Strategy

Dial in signals that match your trading style. Whether you scalp short-term moves or ride trends, you control how reactive or stable the signal is by adjusting the number of nearest patterns, lookback length, and evaluation window.

Key Features

  • Uses unsupervised KNN with Lorentzian distance to compare market structure
  • Highlights long and short signals based on past pattern outcomes
    Visual signal overlays directly on price charts
  • Focused on proven technical signals
  • Adjustable inputs for signal sensitivity and pattern depth
  • No training or prediction, just repeatable context from past behavior
  • Ideal for discretionary and hybrid traders looking for structure-based setups
Unsupervised Pattern Recognition Demo 2 AVIF
Unsupervised Pattern Recognition Demo 1 AVIF

70,000+ Assets

Driving Analytics for Retail Investors

Get Started

Monthly

$8/month

Annual

$75/Year

Free

Free