Trading Classic Chart Patterns
By Thomas N. Bulkowski
Quick Summary
A comprehensive, statistically rigorous reference on classic chart patterns by Thomas Bulkowski, the leading researcher on pattern performance. Provides empirical data on the frequency, reliability, and average price moves of dozens of chart patterns including head and shoulders, double tops/bottoms, triangles, flags, pennants, and wedges, based on analysis of thousands of historical examples.
Executive Summary
Thomas Bulkowski, author of the "Encyclopedia of Chart Patterns," presents a practical trading guide organized around the statistical performance of classic chart patterns. Unlike most chart pattern books that rely on anecdotal examples and subjective interpretation, Bulkowski's approach is empirical: he has cataloged and measured thousands of chart pattern instances across decades of stock market data, providing objective performance statistics for each pattern type. The result is a unique reference that tells traders not just how to identify patterns but how they actually perform in practice.
Core Thesis
Chart patterns do have predictive value, but their reliability varies enormously. By measuring the actual performance of thousands of pattern instances -- including failure rates, average price moves, and the impact of various confirmation and filtering criteria -- traders can make evidence-based decisions about which patterns to trade, when to enter, and what realistic price targets to expect.
Key Content
For each pattern, Bulkowski provides: identification criteria, performance statistics (average rise/decline, failure rate, breakout direction frequency), tips for improving results (volume confirmation, trend context, breakout timing), and practical trading strategies including entry, stop, and target rules based on measured move projections.
Critical Assessment
Strengths
- Unmatched empirical rigor in the chart pattern literature
- Objective performance statistics rather than cherry-picked examples
- Practical trading guidelines derived from data rather than theory
- Honest about pattern failure rates and realistic expectations
Limitations
- Statistics are primarily from U.S. stock markets; applicability to other markets varies
- Pattern identification still involves some subjectivity despite objective criteria
- Historical performance statistics may not predict future results as market conditions evolve
- Dense reference format may be challenging as a cover-to-cover read
Conclusion
Bulkowski's work is the gold standard for evidence-based chart pattern trading. For any trader who uses technical chart patterns, this book provides the statistical foundation necessary for making informed decisions about which patterns offer genuine edge and which are more mythology than method.
