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The final block of code enters trades using the specified order type The parameter ordertype determines the order used: 1 = entry at open, 2 = entry on limit, and 3 = entry on stop Finally, the simulator is instructed to use the standard exit model to close out any open trades The exact logic used for entering the market is discussed in the context of the individual tests below without requiring the reader to refer to or understand the code TESTS RESULTS Tests were performed on three oscillator entry models: Overbought/oversold (Stochastic and RSI used), signal line (Stochastic and MACD used), and divergence (Stochastic, RX, and MACD used) All individual model-oscillator comhinations were examined with entry at the open, on a limit, and on a stop The results for all three orders are discussed together.

1 teaspoon extra-virgin olive oil 2 cups coarsely chopped fennel 2 pinches of sea salt 2 cups filtered water 1 cup uncooked quinoa, rinsed thoroughly Pinch of whole cloves Umeboshi vinegar (optional) Preheat the oven to 400 F. Lightly rub Pyrex dish with half of the oil. Add fennel and pour the remaining oil over it to coat. Sprinkle with a pinch of salt. Cover and roast for thirty to forty minutes. Combine water, quinoa, cloves, and the remaining pinch of salt in a pot. Bring to a boil. Reduce heat and cover. Simmer until the grain is fluffy and water is fully absorbed, about fifteen minutes. Remove from heat and remove cloves. Combine with the roasted fennel. As an option, add a few drops of umeboshi vinegar.

Tables 7-l and 7-2 contain, for each of the 21 tests, the specific commodities the model traded profitably and those that lost in-sample (Table 7-1) and out-ofsample (Table 7-2) The SYM column represents the market being studied, the first row identifies the test number The tables show which markets were, and were not, profitable when traded by each model: One dash (-) indicates a $2,000 to $4,000 loss per trade: two dashes (- -), a $4,000 or more loss; one plus sign (+) means a $1,000 to $2,000 profit; two pluses (+ +), a $2,000 or more profit; a blank cell means a $0 to $1,999 loss or a $0 to $1,000 profit TESTS OF OVERBOUGHT/OVERSOLD MODELS The entries were generated when the oscillator crossed below an upper threshold or above a lower one.

So with these costs in hand, what will be the result of using CRM or database marketing See Table 2-4. Using either CRM or database marketing, we have managed to increase the average sales per customer by 10 percent, to $165. We may have done this by getting some customers to place larger orders, by getting some to place more orders, by reducing the attrition rate, or by a combination of these and other methods. Sales have increased by $90 million, with increased gross pro ts of $9 million. Unfortunately, when we factor in the cost of CRM, net pro ts have gone down by $580,000. That is what virtually all companies that installed CRM have discovered. Note that these gures assume that CRM is working that it is in fact increasing sales by 10 percent. But in many cases, for the reasons given earlier, CRM has no such valuable bene t. In the majority of companies, it does not affect the sales rate at all. Much of the money spent on CRM is wasted. That is the reason for the Gartner Group s pessimistic conclusion on CRM.

These are countertrend models: The trader buys when the oscillator shows downward momentum in prices and sells when the oscillator depicts recent positive momentum In Tests 1 through 6, the Stochastic and the RSI were considered since these indicators have traditional thresholds associated with them and are often used as described above..

The methods whereby database marketing produces the gains in pro t shown in this section are explained in the remaining chapters and case studies in this book. A further discussion of the bene ts of a data warehouse is given in 10, Customer Management.

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