Thomas N. Bulkowski - Encyclopedia of Chart Patterns

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The market's bestselling and most comprehensive reference on chart patterns, backed by statistics and decades of experience When the smart money trades the securities markets, they leave behind financial footprints. Combine enough footprints together and you have a trail to follow. That trail becomes what’s called a chart pattern.
, Third Edition expands upon Bulkowski's immensely popular Second Edition with fully revised and updated material on chart patterns. Whether you’re new to the stock market or an experienced professional trader, use this book as a reference guide to give you an edge.
Within the pages of this book, you’ll learn how to identify chart patterns, supported by easy-to-understand performance statistics describing how well a pattern works, what the failure rate is, and what special quirks suggest better future performance. You’ll discover how often a stop loss order will trigger at various locations within a chart pattern, how the chart pattern’s performance has evolved over the past three decades, and how to profit from failure by trading busted patterns.
This broadened and revised
offers investors the most comprehensive, up-to-date guide to this popular method of market analysis. Written by a leading expert on chart patterns, Tom Bulkowski, this edition includes revised statistics on 75 chart patterns including 23 new ones, with pictures and performance statistics, packaged within easy-to-read text.
Gain essential knowledge of chart patterns and how they are used to predict price movements in bull and bear markets New tables include how often stops are hit, busted pattern performance, performance over the decades, and special pattern features Joining Tour, Identification Guidelines, Focus on Failures, Statistics, Trading Tactics and Sample Trade is Experience. It puts you in the passenger’s seat so you can share lessons learned from Bulkowski's trades This edition reports on statistics from nearly four times the number of samples used in the Second Edition and ten times the number in the , Third Edition further solidifies the reputation of this book as the leading reference on chart patterns, setting it far above the competition.

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Table 9.6shows volume‐related statistics.

Volume trend.I used linear regression to determine the volume trend. I found that it trends upward in almost two of every three patterns.

Rising/Falling volume.Upward breakouts don't show a big performance difference between volume trending upward or downward. Downward breakouts tend to prefer falling volume for better performance.

Table 9.5 Size Statistics

Description Up Breakout Down Breakout
Tall pattern performance 45% –17%
Short pattern performance 40% –12%
Median height as a percentage of breakout price 10.6% 11.4%
Narrow pattern performance 40% –13%
Wide pattern performance 46% –16%
Median width 50 days 48 days
Short and narrow performance 40% –11%
Short and wide performance 40% –14%
Tall and wide performance 48% –17%
Tall and narrow performance 39% –16%

Table 9.6 Volume Statistics

Description Up Breakout Down Breakout
Volume trend 63% upward 62% upward
Rising volume trend performance 42% –13%
Falling volume trend performance 43% –16%
Heavy breakout volume performance 44% –15%
Light breakout volume performance 39% –12%

Table 9.7 How Often Stops Hit

Description Up Breakout Down Breakout
Pattern top 74% 2%
Middle 22% 17%
Pattern bottom 2% 70%

Breakout day volume.Heavy breakout volume helped the pattern perform for both breakout directions. That finding matches conventional lore where lots of sources claim that a high volume breakout helps. Here's the proof for this chart pattern. However, a survey of the chart patterns says it's only true for upward breakouts, not downward ones.

Table 9.7shows how often price reaches a stop location. I split the pattern into thirds and found how often price as it moved from the breakout to the ultimate high or low slid into one of the thirds.

For example, I found that price on the way to the ultimate high (upward breakouts) would touch the top of the chart pattern 74% of the time. So a stop placed there would trigger too often to be viable. If you moved the stop to the bottom of the pattern, price would reach it only 2% of the time, but if it were to trigger, you might see a big loss.

Thus, stop placement, where you have to balance the loss size with how often it'll be triggered, is something traders need to master.

Table 9.8shows the performance over three decades.

Performance over time.The 2010s, for upward breakouts, showed the worst performance for this chart pattern compared to the other two decades. For downward breakouts, the 2000s were worst. I excluded the two bear markets during that decade, too.

Failures over time.The most recent decade, the 2010s, showed substantially higher failure rates than the 1990s. I'm not sure why that is.

Table 9.9shows busted pattern performance.

Busted patterns count.A quarter to nearly half of broadening patterns will bust. That means price moved no more than 10% away from the breakout price before reversing and closing beyond the other side of the pattern.

Table 9.8 Performance and Failures Over Time for Bull Markets

Description Up Breakout Down Breakout
1990s 41% –16%
2000s 50% –13%
2010s 36% –14%
Performance (above), Failures (below)
1990s 10% 20%
2000s 13% 34%
2010s 23% 33%

Table 9.9 Busted Patterns

Description Up Breakout Down Breakout
Busted patterns count 146 or 26% 220 or 48%
Single bust count 77 or 53% 140 or 64%
Double bust count 45 or 31% 10 or 5%
Triple+ bust count 24 or 16% 70 or 32%
Performance for all busted patterns –14% 33%
Single busted performance –23% 49%
Non‐busted performance –14% 43%

Busted occurrence.I counted how often price single, double, or triple (or more) busted a pattern. See the Glossary for details. Single busts happened the most. You might think that triple busts would be rare, but they often come in second place (which they do here, but only for downward breakouts).

Busted and non‐busted performance.I compared the performance of all busted patterns, single busted patterns, and non‐busted patterns. I wanted to know if busted patterns performed better than non‐busted ones.

The table shows that single busted patterns performed better than the other two categories. The problem with a single bust is you don't know ahead of time that a pattern will single bust.

Non‐busted patterns performed better after downward breakouts compared to all busted patterns. All busted patterns means it's the average for the three busted types (single, double, and three or more).

Trading Tactics

Table 9.10lists trading tactics.

Measure rule.The measure rule sets a target price, but it makes no guarantee that price will reach it.

Table 9.10 Trading Tactics

Trading Tactic Explanation
Measure rule Compute the formation height from highest high to the horizontal trendline. For upward breakouts, add the height to the highest high in the pattern. For downward breakouts, subtract the height from the value of the horizontal trendline. The result is the target price. More accurate targets use a formation height divided by 2. The bottom portion of the table shows how often the measure rule works.
Partial rise or decline Use a partial rise or decline as an entry signal. A partial rise works 61% of the time and a partial decline works 80% of the time in correctly predicting the breakout direction.
Intraformation trade For tall patterns, buy near the lower trendline and sell near or at the top when price stops rising.
Stop location Use Table 9.7for help placing a stop.
Busted trade Table 9.9may help you decide to trade a busted pattern.
Description Up Breakout Down Breakout
Percentage reaching half height target 86% 68%
Percentage reaching full height target 68% 40%
Percentage reaching 2× height 50% 19%
Percentage reaching 3× height 37% 9%

To use the rule, compute the pattern's height, the difference between the highest high and the horizontal trendline in the formation. For upward breakouts, add the height to the highest high in the pattern. For downward breakouts, subtract the height from the value of the horizontal trendline. The result is the target price.

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