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cycle is a rhythmic oscillation that has an identifiable frequency (e.g., 0.1 cycle per day) or, equivalently, periodicity (e.g., 10 days per cycle). In the previous two chapters, phenomena that are cyclic in nature were discussed. Those cycles were exogenous in origin and of a known, if not fixed, periodicity. Seasonality, one such form of cyclic phenomena, is induced by the periodicity and recurrence of the seasons and, therefore, is tied into an external driving force. However, while all seasonality is cyclic, not all cycles are seasonal. In this chapter, cycles that can be detected in price data alone, and that do not necessarily have any external driving source, are considered. Some of these cycles may be due to as yet unidentified influences, Others may result only from resonances in the markets. Whatever their source, these are the kinds of cycles that almost every trader has seen when examining charts. In the old days, a trader would take a comb-like instrument, place it on a chart, and look for bottoms and tops occurring with regular intervals between them. The older techniques have now been made part of modem, computerized charting programs, making it easy to visually analyze cycles. When it comes to the mechanical detection and analysis of cycles, ma*imum entropy spectral analysis (MESA) has become the preeminent technique.



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books[2] = new BookInfo(); books[2].Title = "Introducing Silverlight 4"; books[2].Author = "Ashish Ghoda"; books[2].s = new List<string> { " 1-Introducing Silverlight", " 2-Silverlight Concepts", " 3-Silverlight User Interface Controls", " 4-Media Integration", " 5-Data Integration"}; books[2].ISBN = "978-1-4302-2991-9"; } } //Get books by title [OperationContract] public BookInfo GetByTitle(string Title) { initBooks(); foreach (var item in books) { if (item.Title.ToUpper() == Title.ToUpper()) return item; } return null; } //Get all book titles [OperationContract] public List<string> GetAllTitle() { initBooks(); List<string> allTitles= new List<string>(); foreach (var item in books) { allTitles.Add(item.Title); } return allTitles; } } } While WCF services are generally separated into an interface (the contract) and the service implementation (that implements the interface), it s possible to use the ServiceContract attribute on the service implementation class. The OperationContract attribute specifies which methods form the operations of the service for the service contract. Every WCF service must have a host. In classic ASMX web services, the host was ASP.NET itself. The way a client contacts ASP.NET for web pages is the same way a client invokes a web service. Using WCF, the host is outside the HTTP pipeline of ASP.NET. By using the AspNetCompatibilityRequirements attribute, you can ensure a service will be consumable by Silverlight. By setting the RequirementMode property of the attribute to AspNetCompatibilityRequirementsMode.Allowed you ensure that ASP.NET compatibility can be turned on in the application configuration file within the system.serviceModel





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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

CYCLE DETECTION USING MESA Currently, there are at least three major software products for traders that employ the maximum entropy method for the analysis of market cycles: Cycle Trader (Bressert), MESA (Ehlers, 800.633.6372), and TradeCycles (Scientific Consultant Services, 516-696-3333, and Ruggiero Associates, 800-21 l-9785). This kind of analysis has

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And what of the continuing perspective that WiMAX competes with Wi-Fi Most informed players argue that WiMAX is really a complementary technology to Wi-Fi, particularly in the metro arena. They see it as a broadband wireless alternative to cable or DSL and believe that certified WiMAX products will begin to appear in the enterprise market in mid-2005, while residential WiMAX products will provide solutions that are more cost-effective than fixed solutions in rural or greenfield areas.

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been found useful by many market technicians For example, Ruggiero (October 1996) contends that adaptive breakout systems that make use of the maximum entropy method (MEM) of cycle analysis perform better than those that do not Maximum entropy is an elegant and efficient way to determine cyclic activity in a time series, Its particular strength is its ability to detect sharp spectral features with small amounts of data, a desirable characteristic when it comes to analyzing market cycles The technique has been extensively studied, and implementations using maximum entropy have become polished relative to appropriate preprocessing and postprocessing of the data, as required when using that algorithm A number of problems, however, exist with the maximum entropy method, as well as with many other mathematical methods for determining cycles MEM, for example, is somewhat finicky.

If you use the previous approach to invoke a service and an exception happens in the service, Silverlight will receive only limited information about the exception. You can check for the exception in the Result property of the EventArgs class or by wrapping the End method in a try/catch block. If something goes wrong in the service, the browser will get an HTTP 500 error message from the server. Unfortunately, Silverlight can t access the details of the exception, so you must modify the WCF service by augmenting the endpoint to ensure the fault data is sent via an HTTP 200 error message, rather than an HTTP 500 error message. This is accomplished using a custom IDispatchMessageInspector method and a custom IEndpointBehavior method on the service side. The custom IDispatchMessageInspector method simply changes the HTTP status code to 200 (OK) when the message that passes through it is a fault. Let s create a class named SilverlightFaultBehavior.cs in the chapter5.Web project and add the following code:

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