Encyclopedia of Chart Patterns. Thomas N. Bulkowski

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21 Median days from right bottom to ultimate high 92 51 Large rise between valleys, performance 48% 30% Small rise between valleys, performance 44% 29% Median rise between valleys 14% 26%

      * From 18 samples.

      However, the stock can return to the launch price after a big W breaks out. Keep that in mind when setting targets. Look for price to stall just short of the launch price. Figure 7.2 shows an example of that. The launch price is point A and price climbs to F, which is just below the price of A.

      The last line in the table shows the stock returns to the launch price 70% of the time, on average, in bull markets. To use this finding, convert into a percentage the distance from the current price to the launch price. If it's a high percentage, then it'll probably be unrealistic.

      You can run the potential gain by Table 7.3. For example, if the current price is 40 and the launch price is 50, that means a gain of 25% or ((50 – 40)/40 × 100). Table 7.3 says that almost half (46%) will fail to see price rise more than 25%.

      Table 7.11 shows features that might improve trading a big W.

      Lower valley performance. I checked the performance of big Ws where the price of the left bottom was above, below, or equal to the right bottom. There wasn't much of a performance difference except for big Ws where the price of both bottoms was the same. When that happened, performance suffered, and quite substantially.

      Higher bottom volume. I found that if the right bottom of the big W has volume higher than the left bottom, patterns outperform in bull markets and underperform in bear markets. Because the bull and bear market values show opposite performance results, it concerns me that this finding won't be reliable. Use it with caution.

      Rise between valleys. I compared the height of the peak between the two bottoms of the big W to performance. If the rise was taller than the median (measured as the height from peak between the two bottoms to the lower of the two bottoms divided by the price of the lower of the two bottoms), then performance improved. In bull markets, the differences are pronounced compared to bear markets.

      I have traded the big W a number of times, but all from the buy side so the lessons learned aren't as important as those on the sale side. To put it another way, it doesn't matter at what price you buy. It only matters at what price you sell.

      Let me tell you about what I found in my trade review.

      Abercrombie & Fitch Co.

      Abercrombie & Fitch Co. (ANF) in 2017 had been trending lower for almost a year after peaking in March 2016. I saw a big W forming and thought this would make for a good bottom‐fishing trade.

      Here's what I wrote in my trading notebook. “Buy reason: Extra cash. I'm hoping that this will be the start of a rebound, a fallen angel–type play. Earnings were good and the stock shot up and then threw back, as expected. It should recover from here, based on a good earnings surprise. If not, then sell when it gets in the 10+ range to keep the [dollar] loss small. The odds don't favor this trade, but I'm betting the stock has bottomed and will recover from here.”

      The earnings announcement saw price climb from 11.69 to a high of 13.75 the next day, or almost 18%, but it retraced most of that gain by the time I bought on 10 March. I received a fill at 11.68. The position size was small, about one‐fourth of what I normally trade, and that told me I was concerned about the stock.

      I sold the stock (at 10.92) after the report of weak same‐store‐sales numbers less than 2 weeks after I bought, taking a 7% loss.

      My instincts were good. I picked a stock that almost tripled except the timing was wrong. I missed entering a winning trade by 6 months.

      I made a perfect entry, buying after a throwback completed, and sold on the day price dropped (but didn't close) below the bottom of the big W. If I had waited for price to close below the bottom of the big W, I would have stayed in the trade longer but would have taken a slightly bigger loss.

      The big question comes from a curious mention in my notebook: “The odds don't favor this trade.”

       Lesson: If the odds don't favor the trade, then don't make it.

       Lesson: Keep the position size small if you believe a trade is risky.

      Teradyne Inc.

      I made a trade in Teradyne Inc. (TER) as the stock emerged from the 2007–2009 bear market. A big W confirmed and I bought in at 5.94 on 1 May 2009. The stock threw back but then cooperated and climbed.

      Later in the year it moved sideways until August 2010, when it resumed its upward move. Here's what I wrote in my notebook: “Sell reason: Hit stop. This sold on reaction to market weakness, so my guess is I sold too soon. I expect a rebound, but you can't be too sure.”

      I sold within a week of the stock peaking and before it dove by more than 40%. I made 194% on the trade (I almost tripled my money!).

      This is one of those trades you want to climb up on the roof of your house with a megaphone and shout at your neighbors that you're rich. Of course, you'd be gunned down by the rednecks surrounding your house like a moat, so don't do that.

      There is no lesson to share with this trade. A perfect entry and perfect exit led to a nice reward for holding onto the stock for 1.8 years.

      Ann Taylor

      In Ann Taylor (ANN), the stock made a big dive, forming the left side of the big W in late 2006. I bought on 1 February 2007, at a price of 35.19. This was a late entry by about 2 weeks, and yet if I had bought at a penny above the confirmation price, I would have entered the trade at a lower price:

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