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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If you want to participate in a gap trade, know that I measured performance using the opening price the day after the gap, so you can buy a stock after it shows a gap and maybe you can participate in the better performance.

Table 11.4 Breakout and Post‐Breakout Statistics

Description Bull Market, Up Breakout Bear Market, Up Breakout Bull Market, Down Breakout Bear Market, Down Breakout
Breakout direction 60% up 49% up 40% down 51% down
Performance of breakouts occurring near the 12‐month low (L), middle (M), or high (H) L 34%, M 46%, H 41% L 23%, M 26%, H 25% L –16%, M –14%, H –12% L –23%, M –22%, H –17%
Throwbacks/pullbacks occurrence 67% 64% 67% 67%
Average time to throwback/pullback peaks 5% in 7 days 7% in 6 days –6% in 6 days –11% in 7 days
Average time to throwback/pullback ends 12 days 11 days 11 days 12 days
Average rise/decline for patterns with throwbacks/pullbacks 38% 24% –13% –19%
Average rise/decline for patterns without throwbacks/pullbacks 48% 26% –14% –26%
Percentage price resumes trend 75% 69% 54% 49%
Performance with breakout day gap 38% 22% –14% –21%
Performance without breakout day gap 42% 26% –13% –22%
Average gap size $0.84 $0.35 $0.92 $0.63

Table 11.5shows statistics related to size.

Height.In all cases, tall patterns see better post‐breakout performance than short ones.

To use this finding, measure the pattern's height from the highest high to the lowest low. Divide the difference by the breakout price (for upward breakouts, it is the highest high in the pattern; for downward breakouts, use the lowest low). Then compare the result with the median shown in the table. A result higher than the median means you have a tall pattern; lower means a shorter pattern. For best results, select tall broadening tops and avoid short ones.

Table 11.5 Size Statistics

Description Bull Market, Up Breakout Bear Market, Up Breakout Bull Market, Down Breakout Bear Market, Down Breakout
Tall pattern performance 46% 26% –16% –22%
Short pattern performance 36% 24% –12% –21%
Median height as a percentage of breakout price 10.6% 15.2% 10.9% 18.5%
Narrow pattern performance 39% 26% –13% –21%
Wide pattern performance 44% 24% –14% –22%
Median width 45 days 45 days 38 days 41 days
Short and narrow performance 38% 28% –11% –20%
Short and wide performance 35% 13% –11% –23%
Tall and wide performance 47% 29% –16% –22%
Tall and narrow performance 43% 20% –15% –22%

Width.In three of four contests (columns), wide patterns see better post‐breakout performance than do narrow ones. The one exception happens in bear markets after upward breakouts.

I found it odd that bear market, up breakout percentages for height and width are the same. I checked my spreadsheet, and the information is correct.

To use width as an indicator, compute the time from the end of the pattern to the start (in calendar days, not price bars). If the result is more than the median listed in the table, then you have a wide pattern.

Height and width combinations. Table 11.5shows the performance results after combining the characteristics of height and width. Most of the time, tall and wide patterns show the best performance. In bear markets, after downward breakouts, short and wide patterns outperform. That's probably a statistical fluke, and the percentages are close, anyway.

Table 11.6shows volume‐related statistics.

Table 11.6 Volume Statistics

Description Bull Market, Up Breakout Bear Market, Up Breakout Bull Market, Down Breakout Bear Market, Down Breakout
Volume trend 67% up 73% up 67% up 66% up
Rising volume trend performance 42% 27% –14% –23%
Falling volume trend performance 41% 19% –13% –20%
Heavy breakout volume performance 41% 25% –14% –21%
Light breakout volume performance 43% 24% –13% –23%

Volume trend.Volume trends upward from 66% to 73% of the time on average. However, don't throw away a trade because the pattern has a downward volume trend. Try to recycle.

Rising/Falling volume.Half the time, the volume trend doesn't really matter to performance. In bear markets, we see a wider separation of results. For example, after upward breakouts in bear markets, price averages a climb of 27% compared to just 19% for patterns with falling volume. The sample counts (146 versus 54, respectively) are not as robust as I like to see, so the results may change.

Breakout day volume.The broadening top is a rebel: It doesn't conform to common wisdom about heavy breakout volume (which is, heavy breakout volume helps performance). As the table shows, sometimes it helps, sometimes it hurts, and half the time it can't make up its mind. However, as a general rule, you should see improved performance (probably meager) if breakout day volume is above the prior 30‐day average.

I added Table 11.7to this edition to highlight where price might stop on the way to the ultimate high or low. For example, I found that 79% of the time, price will return to the top of the pattern after an upward breakout. You'll likely be stopped out a lot if you choose to place a stop‐loss order there.

Place a stop at the bottom of the pattern and a stop‐loss order will be hit less than 5% of the time, on average. However, the size of the loss, after an upward breakout, could be large, so do consider the size of the potential loss before deciding where to place a stop.

Table 11.8shows how the chart pattern performed over three decades. This table only shows bull market numbers because bear markets only happened in the 2000s.

Table 11.7 How Often Stops Hit

Description Bull Market, Up Breakout Bear Market, Up Breakout Bull Market, Down Breakout Bear Market, Down Breakout
Pattern top 79% 79% 3% 2%
Middle 24% 20% 18% 8%
Pattern bottom 4% 3% 75% 67%

Table 11.8 Performance and Failures Over Time for Bull Markets

Description Up Breakout Down Breakout
1990s 40% –16%
2000s 49% –12%
2010s 36% –13%
Performance (above), Failures (below)
1990s 14% 17%
2000s 15% 29%
2010s 23% 33%

Performance over time.Upward breakouts saw the best performance and downward breakouts saw the worst performance in the 2000s. That makes sense. If the market is rising after an upward breakout, those patterns with downward breakouts will struggle to see price drop. It's like trying to swim against the current.

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