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Table 12-I furnishes some of the performance data for the top 20 solutions for long entries at the open (GFile 1). Each line represents a different trading model. The parameters are not shown, but the line or generation number (LINE), the probability or statistical significance (PROB, the decimal point is omitted but implied in the formatting of these numbers), the average dollars-per-trade ($TRD), the total number of trades taken (TRDS), the profit factor (PFAC ), the annualized return-on-account (%ROA), and the net profit or loss (NET) in raw numbers are provided.

We can do all these things, but do they really produce more pro ts This is an area in which great strides have been made. Most companies are acutely aware of the need to use control groups to validate the effectiveness of every single marketing strategy and initiative. In this book you will nd more than 40 case studies that were completed in the past couple of years by companies that have been able to prove that their techniques are succeeding in building loyalty, increased sales, retention, repurchase, and reactivation. Customer communications work. Personalized communications work even better. Now, with the Web, we can afford to send millions of desired and accepted messages based on data and pro les in our databases that affect customer behavior in a positive way.

Indoor air quality affects us daily and is often overlooked as a source of harmful chemicals. Studies going back as many as ten years have shown home air pollution to be as serious a health concern as outdoor air. The University of California at Berkeley Wellness Letter recently reported on a large study of rural and industrial populations, which showed that exposures to home air pollutants were up to seventy times higher than the most serious outdoor levels! Sources of indoor air pollution include primary and secondary smoke from cigarettes, cigars, and pipes; radon; cleaning products; and outgassing from chemicals in fabrics and carpets. It is important to provide adequate ventilation by opening windows and doors. Be sure to change furnace filters often. I highly recommend investing in a good room air filter as well.

The performance of most of these models is nothing short of impressive. The better models are statistically significant beyond the 0.00007 level, which means these solutions have a very high probability of being real and holding up in the future. Many of the returns were greater than 50% annualized. In some cases, they reached much higher levels. While the limit order had many of the best solutions, all orders had many good, if not great, solutions. As in OUT earlier study, the GA succeeded admirably in finding many tradable models.

Figure 6-10

Table 12-2 provides a small proportion of GFtile 4, the file for evolved models generated for short entries at the open. As in Test 1, the top 20 solutions, in terms of statistical significance or risk-to-reward ratio, are presented. Again, it can be seen that there were many good solutions. However, they were not as good as those for the longs. The solutions were not as statistically significant as for the longs, and the return-on-account numbers were somewhat smaller. A somewhat more distressing difference is that, in most cases, the number of trades was very small; the models appear to have been picking rare events. All else aside, the evolutionary process was able to find numerous, profitable rule sets for the short entries.

The Valentine s Day reminder also looked interesting. Notice that dmckin324 is sending me two emails: one on credit cards and one on background checks. He has destroyed his credibility by sending two emails so close together. What do these things tell us about emails There is a lot of competition, particularly from really junk email. Junk email is much more widespread than junk direct mail. Email is so cheap to send that any worthless smut purveyor can afford to send millions per day. People look rst at who sent the email and second at the subject. They seldom look at the text of your emails at all, unless the email address and subject pass a validity test. You need to give a lot of thought to what your email address should look like. Then spend some time guring out how to present your subject. Settle on three different email addresses and three different subjects. Once you are happy with these six, you can begin to worry about what to say in the email. (I am reminded of experts at Ralston Purina, who reportedly spent more than 6 months designing the appearance of the perfect cereal box before they got around to guring what to put into the box!)