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Silymarin is a group of flavonoids or flavonolignans from the seeds of milk thistle, a plant related to artichokes and daisies. An extract of milk thistle seeds contains 80 percent silymarin with silibinin, silidiamin, and silicristin being the active ingredients. Of these, silibinin is the most active and the one considered responsible for the health benefits attributed to silymarin, especially when it comes to liver protection and enhancing the detoxification of many dangerous toxins such as those from snakebites and mushroom poisoning. Extract of milk thistle has been used medicinally for almost two thousand years. Hundreds of scientific research studies have confirmed the remarkable ability of silymarin to protect the liver from all kinds of toxic and carcinogenic agents.

Several important points were demonstrated by the above tests. First, neural networks hold up less well in out-of-sample tests than do genetically evolved rulebased solutions. This is no doubt a result of the greater number of parameters

Q4 low income, high asset Population % of total Income Marital Average age Average asset Total assets % of assets 58,996 7% $56,993 54% 61 $40,221 $2,372,878,116 39%

Market-by-Market Performance of the Modified Standard Exit with Added Genetically Evolved Rule-based Signal Exit When Tested Using Random Long Trade Entries

This bank has about 860,000 customers. Its total bank assets are about $6 billion. They are divided into four quadrants: high income, high bank assets; high income, low bank assets; low income, low bank assets; low income, high bank assets It is interesting that the high-income customers tend to be married, whereas fewer of the lower-income customers are married. Also, the people with high assets tend to be much older than the people with low assets. We will set these facts aside for a moment and concentrate on the incomes and assets. Here s how to do the math for a quadrant analysis. For income, look at all household incomes. See if there are some at the top that are outrageous: $1 million, for example. Exclude the few outliers like this. Then add all the incomes together and divide by the number of people. For the data used to construct Table 8-1, the average income was $68,230. Then divide customers into two groups: those with incomes above and those with incomes below $68,230. Get the average income for those above, which was about $136,000, and for those below, which was about $56,000. Do the same thing with the average assets. When you have done this, sit back and think about your table for a day or two. What is it telling you What are these segments, and what can you do with them

involved in the neural network model, as compared with the rule-based models being used. In other words, the effects of curve-fitting were damaging to the neural network solution. Also discovered was the fact that the addition of a sophisticated signal exit, whether based on a neural net or a set of genetically evolved entry rules, can greatly improve an exit strategy. When the more robust, genetically evolved rules were applied, the performance benefits obtained persisted in out-of-sample evaluations. The neural network and the rule templates (but not the actual rules) that were used in developing the signal exits were originally developed for inclusion in an

Quadrant 1 marketing plan Begin with the high highs These people have a lot of money, and a lot of it is in your bank What is your goal for these people Retention There is no point in marketing to them They are maxed out All the money they have is in your bank, and they can t give you any more But you don t want to lose these people They are your Gold customers So you design a retention program for them and put them in it Give them special bene ts that come with being Gold customers They shouldn t have to do anything They should be able to just sit there and let the bene ts roll in Thank-you letters from the branch manager Birthday cards Greetings whenever they come into the branch each employee is taught to recognize them and use their name.

Market-by-Market Performance of the Modified Standard Exit with Added Genetically Evolved Rule-Based Signal Exit When Tested Using Random Short Trade Entries

The branch manager jumps up from his desk and shakes their hand whenever they come in If he sees them waiting in a long line, he goes up to them and asks them to come to his desk, where he handles their transaction personally I have enjoyed that treatment at my bank, and I love it It works I would never go anywhere else Quadrant 2 marketing plan These are the high lows They have a lot of money, but your bank has very little of it They probably have their money somewhere else Here is an opportunity Marketing is going to work here, because these people have assets that they can manage, with your help.