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The strong outof-sample profit for Coffee can probably be explained by the major run-up during the drought around that time On an individual model-order basis, many highly profitable combinations could be found for Live Hogs, JapaneseYen, Pork Bellies, Coffee, and Lumber No combinations were profitable in either sample for Oats In terms of equity averaged over all averages and models, entry at the open performed, by far, the worst Entry on limit or stop produced results that were close, with the limit doing somewhat better, especially early in the test period It should be noted that, with the equity curves of losing systems, a distortion takes place in their reflection of how well a system trades (In our analyses of these losing systems, we focused, therefore, on the average return-per-trade, rather than on risk-reward ratios, return-on-account, or overall net profits.

Recent studies of cruciferous vegetables show that raw broccoli has stronger abilities to detoxify carcinogenic chemicals than cooked broccoli. To make a wonderfully simple detox treat, slice raw broccoli very thin, toss it with salt, and add it to lettuce, tomato, and carrots. Drizzle with your favorite low-fat dressing.

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) The distortion involves the number of trades taken: A losing system that takes fewer trades will appear to be better than a losing system that takes more trades, even if the better appearing system takes trades that lose more on a per-trade basis The very heavy losses with entry at open may not be a reflection of the bad quality of this order; it may simply be reflecting that more trades were taken with an entry at the open than when a stop or limit order was used Figure 6-l presents the equity curves for all eight model and moving average combinations The equity curves were averaged across order type Figure 6-l provides a useful understanding of how the systems interact with time Most of the systems had their heaviest losses between late 1988 and early 1995.

1. 2. 3. 4. 5. 6. 7. 8. 9. 10. (c) Treating all customers alike (a) Customer communications (e) 0.4 percent (d ) Marketing strategy (a) Those customers in priority A and priority B (b) The resources available to devote to the best customers will be too small. (d ) On the computer holding the database (c) It made innovative use of the Web. (d ) Those who do not get any of the test communications (e) Not a good way to recruit new customers who last

The best performance occurred before 1988, with the performance in the most recent period being intermediate In Curve 3, the simple moving average crossover model was the most outstanding: This pattern was greatly exaggerated, making the equity curve appear very distinct; it actually showed a profit in the early period, a heavier relative loss in the middle period, and levelled off (with a potential return to flat or profitable behavior) toward the end of the third period Finally, it is dramatically evident that the crossover systems (Curves 1 through 4) lost much less heavily than the.

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6 - 1

1. (e) Increased employee loyalty is essential to increased customer retention. 2. (c) The marketing costs 3. (a) CRM software is not available today. 4. This paragraph cannot be converted into English. It is incomprehensible.

slope-based models (Curves 5 through S), although this reflects a larger number of trades, not greater losses on a per trade basis. TESTS OF COUNTER-TREND MODELS As with trend-following models, countertrend models vary in the moving averages used, the rules that generate signals, and the orders posted to effect entry. The same moving averages used in the trend-following models are studied here. Both single and dual moving average models are examined. Entry orders studied are the market-at-open, stop, and limit. Tests 25 through 36 evaluate the standard moving average crossover model turned upside-down. As before, entry signals occur when prices cross the average, or when a shorter average crosses a longer one. In traditional trend-following crossover models, the trader buys when the price (or a shorter moving average) crosses above a longer moving average, and sells when it crosses below. In the contrarian crossover model, the trader sells when prices cross above, and buys when prices cross below. In these tests, brute force optimization was performed on the in-sample data by stepping the length of the shorter moving average from 1 to 7, in increments of 1; the longer moving average was stepped from 5 to 50, in

1 head romaine lettuce, coarsely shredded 1 4 cup chopped watercress or parsley 1 3-ounce container broccoli sprouts 1 red onion, chopped 1 15-ounce can chickpeas 6 radishes, sliced 1 carrot, sliced 1 tomato, sliced 1 pound poached salmon or lean cooked turkey or chicken, sliced In a large bowl combine the vegetables and then evenly distribute on plates. Top with equal portions of salmon, turkey, or chicken and drizzle with Avocado Green Goddess Dressing (page 164) or Lemon Mustard Vinaigrette (page 166).

5. 6. 7. 8. 9. 10.