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).
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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