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SONET relies on a timing scheme called plesiochronous timing. As I implied earlier, the word sounds like one of the geological periods that we

It is also important to perform the user interface-driven test. It would be nice if it were possible to test an application s user interface from an outsider s perspective, and automate this if possible. Fortunately, Silverlight provides for this automation.

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VOLATILITY BREAKOUT ENTRIES The next three tests evaluate volatility breakout entry models, in which the trader buys when prices rise above an upper volatility band, and sells short when they fall below a lower volatility band Volatility bands are bands placed above and below current prices When volatility increases, the bands expand; when it decreases, they contract The balance point around which the bands are drawn may be the most recent closing price, a moving average, or some other measure of current value Test 7: Volatdity Breakout wdth Entry at Next Open This model buys at tomorrow s open when today s close pushes above the upper volatility band, and sells short at the next open when the close drops below the lower volatility band.





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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.

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The volatility bands are determined by adding to (for the upper band) and subtracting from (for the lower band) the estimate of current value a multiple (bw) of the at&n-bar average true range (a measure of volatility) The estimate of value is a m&n-bar exponential moving average of the closing price If the moving average length (m&n) is one, this estimate degrades to the closing price on the breakout or signal bar Because the volatility breakout model has three parameters, genetic optimization was chosen for the current test Using genetic optimization, the bandwidth parameter (bw) was evaluated over a range of 15 to 45, with a grid size (increment) of 0.

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Testing must be automated. Software is too complex to reliably test well manually on a consistent basis. Test automation carries over to user interfaces. Manually testing user interfaces is boring, tedious, and highly unreliable since test cases may be skipped or the order of operations for tests violated. Optimally, you want user interface testing to happen automatically, instead of a tester having to manually click every button and explore every screen. Another reason for automated user interface testing is the ability to easily capture test results. Fortunately, Silverlight does indeed provide automation capabilities in the form of a framework for programmatically controlling user interfaces. The main supporting infrastructure for user interface automation is a set of automation peer classes that closely mirror user interface classes in Silverlight. The UI Automation Library (System.Windows.Automation) that works for other types of Windows applications can also be used to work with Silverlight applications. Before you can use the automation classes to interact with user interface elements, you must obtain an AutomationElement that serves as a parent element. You can then search for controls that are descendents of the parent. You could use the desktop as the parent, but this would make it slow when searching for controls and can cause stack overflow. Instead, you want to get as close to your Silverlight application as possible. The Microsoft .NET Framework class library also includes the System.Diagnostics namespace, which mainly provides a set of classes to perform interaction with system processes, event logs, and performance counters.

all learned in geology classes (Jurassic, Triassic, Plesiochronous, Plasticene). Plesiochronous derives from Greek, and means almost timed. Other words that are commonly tossed about in this industry are asynchronous (not timed), isochronous (constant delay in the timing), and synchronous (timed). SONET is plesiochronous in spite of its name (Synchronous Optical Network) because the communicating devices in the network rely on multiple timing sources and are, therefore, allowed to drift slightly relative to each other. This is fine, because SONET has the ability to handle this with its pointer adjustment capabilities. The devices in a SONET network have the luxury of choosing from any of five timing schemes to ensure accuracy of the network. As long as the schemes have Stratum 4 accuracy or better, they are perfectly acceptable timing sources. The five are discussed later.

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