The Anatomy Of The 10-Bagger

NARROWING THE LIST
That list of 588 doublers was narrowed to 254 stocks to make the task of observing their charts less daunting. To get on this narrowed list, the initial price of the stock had to be greater than $0.01; it must represent a company based in the United States; and it must be traded on the New York, American, or NASDAQ exchanges. There are currently 5,210 stocks that fit those criteria, which means our 254 stocks are 4.88% of that total.

Using a stock charting service like bigcharts.com will allow us to quickly observe these 254 stocks and identify the 10-baggers. Of course, identifying a 10-bagger by chart requires a set of its own criteria. The criteria are launch point, move duration, and peak price. The launch point is the date that the stock closes above its six-month simple moving average (SMA). Its move duration is the time it takes to move from launch to its peak price. Its peak price is the highest open or close price achieved during the move. For ease of observation, I based this discussion on a five-year monthly chart. Daily and weekly charts will help you fine-tune the analysis, but they lose a lot of instructional value on reproduction. Using monthly charts and the criteria given, 44 of the 254 stocks were identified as 10-baggers.

FIGURE 1: AN IDEAL 10-BAGGER. Hansen Natural (HANS) started its move in July 2003 when it closed above its six-month SMA. Over the next 33 months it didn't fall more than 10% below the SMA. The stock climbed to a peak of $148.20 by March 2005.

FIGURE 2: TRADING VOLUME. The percent of shares outstanding (SO) rose above 100% in May, June, and July 2005. When a company's stock trades more than 100% of its SO in one month, it's something worth noting.

Two other interesting points should be noted about this volume. The first, as seen in Figure 2, is the percent of shares outstanding (SO) that was traded on average each month. It rose above 100% in May, June, and July 2005. (The monthly volume reached that level in June 2004.) The concept of a company trading more than 100% of its shares outstanding in one month is intriguing. The second point and equally intriguing is the number of shareholders in HANS, not shown in Figure 2. From the point of launch to the peak price, the number of shareholders in HANS was reported to have declined from 619 million to 514 million. More shares were traded by fewer shareholders. This would suggest an institutional rather than a general market binge. If this holds true for most 10-baggers, it could be a useful bit of information.

Let's move from the ideal to the sublime. Figure 3 presents the stock chart of Ampex Corp. (AMPX). AMPX is not on our list of 44, but it is a mouth-watering chart that illustrates a compressed 10-bagger. Technically, AMPX launched in February 2004 after two false starts (November 2002 and May 2003). Its launch price (at close) was $1.75, but it achieved that price on a monthly volume of only 320,000, half of the preceding MA. After launch, its price managed to just track its SMA for the next seven months on decreased volume. Given that its two failed breakouts were volumes that were two and four times greater than the MA, ignoring this launch would have been a prudent course of action. This brings us to October 2004.

FIGURE 3: IDEAL TO SUBLIME. Notice how this stock moved from $1.85 to $50.04 in four months. It then declined by 65% to $17.45 but it's still a 10-bagger from its February launch price of $1.75.

In October 2004, AMPX's price moved from $1.85 to $4.09 on a volume of 397,000, three times the preceding MA. That was followed with a close of $11.40 on volume of 1,116,000 in November, a close of $39.50 on 4,933,000 in December, and a close of $50.04 on 1,664,000 in January 2005. In four months it moved from $1.85 to $50.04, a 27-bagger. Three months after its peak price, it closed at $32. After a modest uptick, it continued to slide, closing at $17.45 on May 6, 2006—a decline of 65% from its peak price, but still a 10-bagger from its February 2004 launch price of $1.75.

Figure 3 illustrates how difficult it is to establish rules. If you bought the launch in November 2002 and used 10% below the SMA as a sellpoint, you would have sold the stock the next month at a 50% loss. Your next entry point would be May 2003 with a sale in October for another 30% loss. You could enter again in February 2004 (assuming you weren't too battle-fatigued to continue), with a sale in August 2005 for a gain of 1,700% (finally!). If you started with $10,000, you would have ended up with $64,000, a six-bagger—not a bad return over 34 months. If you ignored the February entry and waited until October, you would have ended up with $27,384, still not bad.

A 27-bagger can compensate for a lot of flaws in an investment plan. If AMPX was just a 10-bagger, selling on a 10% correction would have resulted in a loss of about $150. So any rules we use to guide our stock decisions would have to be statistically significant. Statistics are the study of populations and behaviors. Any quantifiable population or behavior can be analyzed using statistics. In business, statistics are used to improve decision-making. A businessman strives for an 85% confidence level; he wants 85% of his decisions to be correct. While he may strive for 85%, it has been reported that most successful managers are correct only 70% of the time. If we could create rules with a 70% to 85% confidence level, we would have a very powerful stock market strategy.

In Figure 4, the 44 10-baggers are listed. Also listed are their price corrections in comparison to their six-month SMA. Eleven of the 44 stocks corrected twice while 14 did not correct (according to our definition). Two stocks are listed as having corrected and not corrected. These are stocks that had a correction after achieving 10-bag status but then went on to new highs. I included that second correction, but you may choose to ignore it. At the bottom are a few simple statistics, which will help us establish some rules. I recognize that these are very basic, but even the basics can be useful. The data presented is sorted by "Correction %." Half the stocks corrected 7.4% or less during their advance. Twenty-seven (61%) of them corrected 10% or less. The 10% (or less) limit also represents 35 of the 55 corrections (64%). Thirty-three of the stocks did not correct or corrected only once (75%). Eleven corrected twice. There were as many corrections greater than 20% (14) as there were corrections at zero percent. Just based on these statistics, it is difficult to establish a significant sell strategy. Certainly, if we are to achieve a 70% confidence level, we will need more information.

THE REWARDS
Now that we have identified our 10-baggers and observed their basic chart patterns, it is time to gather more information. The goal is to answer two questions. First, why did these stocks launch (cause)? Second, why did they continue to rise (support)? The cause will help us predict their move, and the support will help us predict their peak.

Since there are three kinds of players in the stock market, we will approach this study from three different perspectives. First, we will approach it as investors and study the underlying fundamentals. Second, we will become traders and look for clues in the charts. Finally, as speculators, we will go beyond the fundamentals and the indicators; we will anticipate price based on events, trends, and innovations. Somewhere, in that mix of market strategies and historical data, we hope to find the key to unlocking the rewards of the 10-bagger.