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The number of online 13- to 22-year-olds will grow from 17 million to 22 million by 2004. How can your company target a group that, unlike adults, internalizes the Internet What do you need to do to attract and keep them as customers How should you alter your marketing and product development strategies Forrester s Wired Youth Summit will help you understand this sought-after group and give you new ideas you can use today to develop these critical relationships.

momentum crosses below some negative threshold, a sell is posted Buying or selling can happen on any of the standard three orders: at open, on limit, or on stop Entries may also be generated by computing the price differences, normalizing them, applying an integration or summing procedure to the series (to obtain a kind of pseudo-price series, based on previous instances of each date), and then applying a moving average crossover model to the series Because the value at any bar in the series is determined only by bars that are about 1 year old or older, the delay in the crossovers can be compensated for by simply looking ahead a small number of bars Both of the methods described above arc somewhat adaprive in nature; ie, they do not require specific information about which dates a buy or sell order should be placed.

hen the Web arrived in the mid-1990s, just about everyone in marketing thought it would be a great sales medium to consumers something like TV, radio, or direct mail. Billions and billions of dollars were invested with that idea in mind. Thousands of new companies sprang up to sell on the Web or to provide services to those who would be selling there. Every major corporation in America produced a Web site, most of which involved the marketing of some product or service. Hundreds of sites planned to make money from advertising placed on their sites by others. Spending on the Web was a big part of the boom times of the nineties. In fact, between 1995 and 2002, very few companies were selling very much to consumers on the Web. With the exception of travel, music, pornography, and books, the sales were very, very small. Why were they so small At rst, people said it was because half the nation was still not on the Web (hence millions of dollars were spent to equip

The adaptive quality of the aforementioned methods is important since different markets respond to seasonal influences in different ways, a fact that logic, as well as our earlier research, supports In the current study, several rules for handling confirmations and inversions are also tested to determine whether better results can be obtained over the basic models Confirmarion means additional data is available that supports the signals produced by the model For example, suppose a model generated a buy signal for a given bar If everything is behaving as it should, the market should be forming a bottom around the time of the buy If, however, the market is forming a top, the buy signal might be suspect, in that the market may not be adhering to its typical seasonal timing.

schools for the Web) Then the argument ran that even those who were on the Web were hesitant to buy because of the possibility of credit card fraud No one was saying that the Web was not a great sales medium Everyone just said, These things take time Amazoncom, the leader that showed everyone how Web sales should be done, didn t make a pro t until 2001 But Amazon s failure was said to be due to its overextension into too many products If it had just stuck to books, it could have been pro table, everyone agreed The quote at the beginning of this chapter is really a joke Here is a wired youth summit that teaches you how to sell to young people who have internalized the Web.

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When such apparently contradictory circumstances exist, it would be helpful to have additional criteria to use in deciding whether to act upon the signal, in determining if it is correct The crossover-with-con~rmation model implements the crossover model with an additional rule that must be satisfied before the signal to buy or sell can be acted upon: If a buy signal is issued, the Slow %K on the signal bar must be less than 25%, meaning the market is at or near the bottom of its recent range If a sell signal is issued, Slow %K must be greater than 75%, indicating that the market is at or near the top of its range, as would be expected if following its characteristic seasonal behavior.