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 price enters the pattern from the top and exits out the top, that's a reversal. The same can be said if price enters from the bottom and breaks out downward (it's also a reversal).

Upward breakouts act as continuations most often, so we know the inbound price trend must have been upward, too. Downward breakouts act more often as reversals (suggesting price was trending upward into the pattern).

Reversal/continuation performance.Reversals for both breakout directions show better performance than continuations.

Average rise or decline.The average rise or decline isn't exceptional. As I mentioned, this pattern is a mid‐list performer, so don't expect a standing ovation.

Table 9.2 General Statistics

Description Up Breakout Down Breakout
Number found 551 455
Reversal (R), continuation (C) occurrence 25% R, 75% C 76% R, 24% C
Reversal/continuation performance 47% R, 41% C –15% R, –14% C
Average rise or decline 43% –14%
Standard & Poor's 500 change 12% –2%
Days to ultimate high or low 243 51
How many change trend? 55% 25%

Standard & Poor's 500 change.The performance of the chart pattern beats the tar out of the index. I can't think of any pattern that failed to beat the general market results. That suggests the measure favors the chart pattern.

The chart pattern is performing at its best, from the breakout to the ultimate high or low. But the index, using the same dates, may fall well short of what it's capable of. However, the numbers also show how the general market assists individual stocks to perform. The market rises during upward breakouts and falls during downward ones.

Days to ultimate high or low.How long will your trade last? It lasts as long as you do not close out your position. However, I measured the average hold time from the breakout to the ultimate high or low.

Pop quiz: If it takes 243 days for price to rise 43% after an upward breakout, how long should it take price to drop 14% after a downward breakout, assuming the same velocity? Answer: 79 days. However, the table shows that it completes the trip in just 51 days. Thus, price drops much faster after a downward breakout than it rises in an uptrend. Often, price drops twice as fast.

How many change trend?In a gauge of how well price moves more than 20% from the breakout, this pattern does well. However, it's still a mid‐list performer. Have I mentioned that?

Table 9.3shows failure rates for the broadening pattern. For example, I found that 15% of the patterns with upward breakouts failed to see price rise more than 5% after the breakout. Downward breakouts failed almost twice as often. Yuck.

Notice as you scan down the list how failure rates increase. Half of all upward breakouts will see price fail to rise 25%. Downward breakouts see half the patterns failing to rise more than 10%.

If you want to average 50% on your trades, 72% of them will fail to meet the threshold after an upward breakout. And that's if you trade it often and perfectly. You could make more or less, depending on your skill and the situation (such as just after a bear market ends when even the losers are winning). Sprinkle in some losing trades and your winners will have to make even more to reach your 50% target.

Table 9.4shows breakout‐related statistics.

Breakout direction.The breakout direction is almost random with a slight advantage going to upward breakouts.

Yearly position, performance.I sorted the breakout price into the yearly high–low range and mapped performance on top of it. The table shows that breakouts occurring near the yearly low do better than those near the yearly high. It suggests this chart pattern does well with bottom‐fishing strategies (buy low, sell high). Avoid momentum trading this pattern (buy high, sell higher).

Throwbacks and pullbacks.Throwbacks and pullbacks occur about two‐thirds of the time. Price leaves the pattern for 6 days until it reaches the apex, either rising or falling 6% during the journey (depending on the breakout direction), and the stock returns to the breakout in another 6 days, for a 12‐day roundtrip.

Table 9.3 Cumulative Failure Rates

Maximum Price Rise or Decline (%) Up Breakout Down Breakout
5 (breakeven) 83 or 15% 129 or 28%
10 71 or 28% 106 or 52%
15 62 or 39% 62 or 65%
20 32 or 45% 44 or 75%
25 40 or 52% 28 or 81%
30 30 or 58% 22 or 86%
35 24 or 62% 19 or 90%
50 56 or 72% 35 or 98%
75 52 or 82% 10 or 100%
Over 75 101 or 100% 0 or 100%

Table 9.4 Breakout and Post‐Breakout Statistics

Description Up Breakout Down Breakout
Breakout direction 55% up 45% down
Performance of breakouts occurring near the 12‐month low (L), middle (M), or high (H) L 58%, M 43%, H 40% L –17%, M –14%, H –12%
Throwbacks/pullbacks occurrence 68% 63%
Average time to throwback/pullback peaks 6% in 6 days –6% in 6 days
Average time to throwback/pullback ends 12 days 12 days
Average rise/decline for patterns with throwbacks/pullbacks 39% –13%
Average rise/decline for patterns without throwbacks/pullbacks 50% –16%
Percentage price resumes trend 72% 48%
Performance with breakout day gap 48% –16%
Performance without breakout day gap 42% –14%
Average gap size $0.50 $0.40

Notice that performance improves if a throwback or pullback does not occur.

After a throwback or pullback completes, we see that price resumes trending upward after an upward breakout but struggles to drop after a downward breakout. Be careful shorting this pattern after a downward breakout. A pullback may see price drop as far as it's going to.

Gaps.Regardless of the breakout direction, a breakout day gap helps performance. That's good news. Why? Because I measured performance from the opening price the day after a gap to the ultimate high or low. Thus, you can buy into the situation after you see a gap and participate in the better‐performance party.

Table 9.5shows size‐related statistics.

Height.For both breakout directions, broadening patterns taller than the median height performed better than did their shorter counterparts.

To use this finding, measure the height of the pattern from top to bottom and divide by the breakout price. If the result is higher than the median listed in the table for the associated breakout direction, then the pattern is tall.

Width.Wide patterns performed better than narrow ones. Take the difference between the end date and start date of the pattern and compare it to the median width in the table. Wide patterns will exceed the median.

Height and width combinations.Tall and wide patterns outperform all other combinations. As a general rule for this pattern, avoid tall and narrow patterns with upward breakouts and avoid short and narrow patterns with downward breakouts.

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