Quantifying Similar-Height Rectangle Patterns for Trend Entries

Summary

This strategy turns price swings into geometric pattern rules. It looks for primary moves and smaller corrections whose heights match user-defined percentage targets, then checks pattern width and trend direction. Bullish and bearish versions cover both moves after a local extreme and pullbacks within a trend. RSI and above-average volume can be used as optional filters; the described entries follow detected patterns, with correction height used for stops and primary height for targets.

The document describes the design and its parameters, including a lookback window and a 20% height-matching tolerance, but gives no measured results or performance statistics. It flags sensitivity to parameter choices, false breakouts, fixed-percentage heights in changing volatility, simplified moving-average trend checks, and potentially static exits. ATR-based sizing, stronger trend filters, market-state classification, and more complete backtest evaluation are proposed as extensions. The strategy therefore offers a rule framework, not evidence that the pattern has a predictive edge.

Key ideas

• Pattern detection compares price-swing heights with percentage-based primary and correction targets.
• Bullish and bearish rules cover both post-extreme moves and trend pullbacks.
• Optional RSI and volume conditions can filter signals, while pattern width and trend checks constrain detections.
• The described exits use correction height for stops and primary height for profit targets.
• The document reports no performance results and identifies parameter sensitivity and volatility shifts as important limitations.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.