Pattern Matching

Find historical price patterns similar to current market conditions

Analyze Asset

Enter a symbol to find similar historical patterns

Quick Select

Click an asset to analyze its patterns

Pattern Timeframe

Select the pattern window size to match

1 month patterns

How Pattern Matching Works

Our pattern matching algorithm uses Dynamic Time Warping (DTW) to find historical price patterns that are similar to current market conditions.

We examine recent price action with multiple timeframe options (7d to 1 year) to capture trends at different scales.

DTW algorithm searches years of data, considering price shape, volume patterns, and momentum indicators.

We calculate probability distributions and confidence scores based on what happened after similar setups.

Compare patterns against market benchmarks (SPY, QQQ) to understand broader market context and relative strength.

Win rates, expected returns, and confidence intervals help quantify the reliability of pattern-based predictions.