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profit target is very similar to the one used when constructing the MEMA stop. An exponential moving average is initialized in an unusual way; i.e., the running sum is set to the entry price plus (long) or minus (short) some multiple @Tim) of the average true range. In this way, the profit target limit begins just as the fixed profit target limit began. After the first bar, the price at which the limit is set is adjusted in exactly the same way that an exponential moving average is adjusted as new bars arrive: The distance between the current limit price and the current close is multiplied by a parameter @rga). The resultant number is then subtracted from the current limit price to give the new limit price, pulling the limit price in tighter to the current close. In contrast to the case with the stop, the limit price is allowed to move in either direction, although it is unlikely to do so because the limit order will take the trade out whenever prices move to the other side of its current placement. The second parameter (p&z) controls the speed of the moving average, i.e., the shrink age rate. The rules are identical to those in the test of the MEMA stop above, except as they relate to the profit target limit on bars after the first bar.

hat is what is happening today on the Web. Instead of the standard We demonstrate, you watch, companies are learning to let customers come behind the counter and gure things out for themselves. In many cases, this is proving highly pro table. There has always been a distance between suppliers and customers. This distance is typi ed by the counter. The clerk stands on one side, ready to answer questions and ring up sales. You stand on the other

Tests are performed on two seasonality-based entry models: the crossover model (both with and without confirmation and inversions) and the momentum model. Each model is examined using the usual three entry orders: enter at open, on limit, and on stop. Tables 8-l and 8-2 provide information on the specific commodities that the model traded profitably, and those that lost, for the in-sample (Table 8-l) and outof-sample (Table 8-2) runs. The SYM column represents the market being studied. The rightmost column (COUNT) contains the number of profitable tests for a given market. The numbers in the first row represent test identifiers. The last row (COUNT) contains the number of markets on which a given model was profitable. The data in these tables provide relatively detailed information about which markets are and are not profitable when traded by each of the models: One dash (-) indicates a moderate loss per trade, i.e., $2,000 to $4,ooO, two dashes (--) represent a large loss per trade, i.e., $4,ooO or more; one plus sign (+) means a moderate profit per trade, i.e., $1,000 to $2,000, two pluses (+ +) indicate a large gain per trade, i.e., $2,000 or more; and a blank cell means that the loss was between $0 and $1,999 or the profit was between $0 and $1,000 per trade. (For information about the various markets and their symbols, see Table II-1 in the Introduction to Part II.)

side waiting for service. You are not supposed to invade the clerk s space. All of this is changing with the Web. The Web permits customers to get instant access to lots of information that previously was available only through telephone calls or personal visits. Federal Express was one of the rst to start this with its package tracking system. Today, anyone can enter a FedEx package number on the FedEx Web site and instantly nd out what has happened to the package at each point in its journey. Before FedEx had this Web site, you could call a FedEx operator and get the same information in fact, you can still do that today. But by going to the Web, you can get the information faster, you never get put on hold, and you can print out all the information on your PC printer. It is a wonderful system for the customer. How is it for FedEx It is a huge cost saving. Toll-free calls to operators cost companies between $2 and $7 per call, including the cost of the call and the cost of the operator. Web visits cost absolutely nothing once the system is set up and running.

4 6-ounce salmon fillets Salt to taste Freshly ground black pepper to taste 2 tablespoons Dijon mustard 2 tablespoons extra-virgin olive oil 11 2 tablespoons honey 1 4 cup bread crumbs 1 4 cup chopped pecans 2 teaspoons chopped fresh parsley Preheat the oven to 450 F. Sprinkle salmon liberally with salt and pepper. Place fillets, skin side down, in a lightly greased baking dish. In a small mixing bowl, combine mustard, butter, and honey. Brush this mixture on fillets. Combine bread crumbs, pecans, and parsley and sprinkle the mixture evenly on top of each fillet. Bake ten minutes or until fish flakes easily.