Encyclopedia of Chart Patterns. Thomas N. Bulkowski

Читать онлайн.
Название Encyclopedia of Chart Patterns
Автор произведения Thomas N. Bulkowski
Жанр Ценные бумаги, инвестиции
Серия
Издательство Ценные бумаги, инвестиции
Год выпуска 0
isbn 9781119739692



Скачать книгу

so it qualifies as a valid extension.

      DA/XA retrace. Supposedly, this ratio is critical, so I allow point D to miss the number by 3% (.03). I do not use the high–low range of D in the equation and I use 3% instead of 1% because this pattern is rare enough as it is. We have (55.98 – 47.81)/(56.93 – 56.93) or .9. The .9 value is near the .886 target, so the pattern qualifies as a valid bearish bat.

      As you can imagine, computing these ratios by hand is tedious and error prone, so I programmed my computer to find bats by first finding all peaks and valleys and then using the method described to glue them together.

      Volume. I'll discuss a few volume statistics in Table 4.2, but volume trends downward in the pattern most of the time. With few samples, it's difficult to say whether up or down trending volume leads to better or worse performance, but current statistics favor a downward volume trend for the best performance.

      Duration. I limited patterns to a length of 6 months or less. That's an arbitrary limitation.

Description Bull Market Bear Market
Number found 537 128
Breakeven failure rate 17.7% 4.5%
Average decline after D –14.3% –20.2%
Volume trend 74% Downward 67% Downward
Performance Up/Down volume –14%U, –15%D –20%U, –20%D

      I checked the statistics and found that 70% of the 665 bats I looked at break out upward, regardless of the market condition (bull or bear). Don't let that number give you nightmares. As awful as the 70% number is, it doesn't tell the complete story. Swing traders will soon learn (as discussed in Table 4.2) that price turns lower at point D 86% of the time. Price may still break out upward, as Figure 4.3 shows, but maybe you can make money when price drops between D and the breakout.

Graph depicts the bearish bat isn't bearish at all.

      Figure 4.3 This bearish bat isn't bearish at all.

      Since I'm throwing around a lot of numbers, let's discuss statistics.

      Table 4.2 shows general statistics related to the bearish bat pattern.

      Number found. Despite using the high–low price range at most of the Fibonacci turns, as I discussed in the Identification Guidelines, few bats appear in the historical price record. I found them in 491 stocks despite searching from June 1991 to August 2019. Not all stocks covered the entire period and some no longer trade.

      Breakeven failure rate. I counted the number of patterns which saw price drop no more than 5% after peaking at D (using the high price at D to the ultimate low). The table shows the failure rate. Anything above zero is too high, but that's in an ideal world. The bear market failure rate, at 4.5%, is terrific. The 17.7% failure rate in bull markets is not so terrific.

      When you consider that a declining price trend in bull markets is like swimming against the current, you would expect a high failure rate. Swim with the bear market current and the failure rate drops to one‐fourth the bull market rate.

      Average decline after D. Point D ends the pattern and price is supposed to head lower. The average decline is 14.3% in bull markets but substantially better in bear markets, over 20%.

      Volume trend, performance. I measured the volume trend using linear regression but often you can tell the trend just by looking at the chart. Figure 4.2, for example, shows volume (E) higher on the left half of the pattern than the right half, so the trend is downward. In fact, the average bearish bat will have a downward volume trend at least most of the time.

      Does the volume trend give us any hint of better or worse performance? Not that you'd notice. The widest spread between the two numbers is one percentage point in bull markets. That's probably not statistically significant.

      The real purpose of the bearish bat is for swing traders to predict the turn at D and then go short, anticipating a drop to the bottom of the pattern. Will price sink that far? Maybe, maybe not. Let's look at some number to see if we can model behavior better.

Description Bull Market Bear Market
How often does price turn at D? 86% 86%
How many drop to point A? 35% 38%
How many drop to point B? 81% 80%
How many drop to point C? 48% 46%

      How often does price turn at D? At the end of the pattern, price can form a minor high at D or price can continue trending upward (as in a straight‐line run up). Most of the time (86%), the stock will form a minor high at D. To find the reversal rate, I checked for a minor high appearing there (that is, I checked to see if price actually turned lower). Figure 4.3 shows an example where the stock failed to turn significantly lower at D.

      How many drop to…? This measures the drop after D but uses the pattern's turns as targets. For example, I found that in bull markets, the stock reached turn B 81% of the time. Turn B is the closest turn below D, so it should,