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<my:DataGrid x:Name="BookDataGrid" Height="200" Width="600" SelectionChanged="BookDataGrid_SelectionChanged" /> <my:DataGrid x:Name="BookDetailsDataGrid" Height="100" Width="600" /> And the highlighted updated LINQ query code in the btnGetData_Click method is shown here: //LINQ to Entity with Eager loading using Expand var q = (from c in context.Books.Expand("BookDetails") select c); The code for BookDataGrid _SelectionChanged method is as follows: private void BookDataGrid_SelectionChanged(object sender, SelectionChangedEventArgs e) { //Getting reference to current selected book Book currentBook = BookDataGrid.SelectedItem as Book; //LINQ to get details for the selected book var q = from bd in context.Books where bd.ID == currentBook.ID select bd; var dsq = (DataServiceQuery<Book>)q; //Async execution of the query dsq.BeginExecute(result => { BookDetailsDataGrid.ItemsSource = dsq.EndExecute(result).FirstOrDefault(). BookDetail.ToList(); }, null); } As Silverlight follows asynchronous models for such operations, we need to cast LINQ query q to DataServiceQuery and start an asynchronous execution of the query using the BeginExecute/EndExecute method pair as shown in the previous code snippet. Finally we bind the result of the asynchronous query to BookDetailsDataGrid. At this point you can run the project, press the Get data button, and click any of the books in BookDataGrid, and the result will be similar to the one shown in Figure 6-28.



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than 50 percent in the same period. And while capital spending in the United States showed an admirable 25 percent growth rate, average revenues grew only 25 percent, while profits dropped precipitously and return on equity faltered. Between 1996 and 2000, capital expenditures in telecommunications rose from $41 billion to $110 billion but return on capital fell 50 percent. Furthermore, since 1984, the domestic consumer price index is up 73 percent and local communications call volume is up 71 percent, but long-distance prices are down 35 percent not a good sign for service providers, particularly given the capital-intensive nature of telecomm infrastructure. Even the venerable PC market saw a downturn; for 2003, growth declined from an expected level of about 13 percent to slightly less than 10 percent. Amidst all this darkness there has been good news, however. While optical transport revenues declined precipitously during the postbubble disaster, the revenues from SONET and SDH (optical transport infrastructure) sales climbed. By the end of 2005 the optical metro marketplace, a strong market sector, is expected to roughly double, while the total market for IP-based VPN services will grow to approximately $14.7 billion by the beginning of 2006 because of the proliferation of mobile workers, improved mobile technology, security concerns, and changing work models.





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than a 12.bar exponential moving average (EMA) of the closes, but is less than a 49-bar EMA of the closes, and the current bar represents a 6.bar new high, then exit the long trade. The rules seem to be searching for a situation in which the longer trend is down, but a short-term retracement against the trend has occurred and has reached a point where completion of the retrxement is likely and the longer-term downward trend will resume-a sensible point to exit a long position. The rules for the short side suggest that an exit should occur if the close on the current bar is greater than the 16-bar EMA of the closes and a 22.bar simple moving average of the closes, and if the MACD is sloping down. The specific MACD used employs a 6-bar EMA for its faster moving average and a lo-bar EMA for its slower moving average. The idea encapsulated in these rules seems to be that it is wise to close out short positions if the market, when smoothed, still appears to be moving down, but the most recent close broke above two moving averages, indicating the market may be starting a new trend up. Results of Rule-Based Exits for Longs and Shorts

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Several technology sectors show promise and are recovering more rapidly than others. They are discussed in the following sections.

Softswitch technology is designed to support next generation networks that rely on packet-based voice, data, and video communications technologies and that can interface with a variety of transport technologies including copper, wireless, and fiber. One goal of the softswitch concept is to functionally separate network hardware from network software. In traditional circuit-switched networks, hardware and software are dependent on one another, resulting in what many believe to be an unnecessarily inextricable relationship. Circuit-switched networks rely on dedicated facilities and are designed primarily for delay-sensitive voice

Table 15-5 presents the performance data for best of the top 10 solutions (longs and shorts) for the MSES with the addition of genetically evolved, rule-based signal exits. Trades were entered randomly. The table is broken down into results for long positions and results for short positions. It is further broken down by sample and test. Sample (IN or OUT) and test may be BSLN (when the rules were not used) or RULE (when the mles were. used). On the long side, in-sample, the addition of the genetically evolved rule-based exit substantially reduced the loss on the average trade from a baseline of $688 to $324. The percentage of winning trades increased from 41 to 43%. The annualized risk-to-

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Performance of the Modified Standard Exit Strategy with an Added Genetically Evolved Rule-Based Signal Exit When Trades Are Entered Randomly

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