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All three potential profit strategies can be applied to moving, or rolling, time intervals. In a manner similar to a moving average, one can shift a window of the same length and compute the distribution of transactions and potential profit within the time window. In this manner, we come to the concept of a moving potential profit. Corresponding curves of moving potential profit calculated for time windows of different lengths can be drawn on the same price charts after scaling them, in the same way as other moving indicators. These applications use the fact that potential profit obtained on the interval ending at a specific date and time can be charted as one point at that date and time. Once potential profits have been calculated as a continuous series of rolling values, we can produce moving averages of potential profits. In this case, the window for the moving average may have the same or different length as the length of the interval in which the profit was originally evaluated. These moving potential profits and average potential profit indicators observed in time windows corresponding to different time scales (intraday trading, daily trading, weekly trading) reflect changes in what the market has to offer. Comparing today s moving potential profit for the last n days with maximum and minimum historical values or maximum and minimum values of the potential profit over the last n days reflects the changing trend and volatility properties of the market s offering.

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blur (Add=add, Direction=direction, Strength=strength) add is any integer other than 0. direction is any value from 0 to 315 in increments of 45. strength is any positive integer representing the number of pixels affected.

Presentations are notified of changes by using whichever event model is convenient. Normally, you would use an event listener model similar to the Abstract Windowing Toolkit (AWT) event model introduced in Java 1.1. A listener interface defines the methods that the model invokes in order to trigger an event:

June 12, 2004

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has incorporated the input of most or all of the relevant actors. Each item was included only after the team achieved a consensus that the item belonged in the hierarchy. As Figure 4.1 shows, eliciting needs occurs in a top-down fashion, starting with a rather abstract statement of a need and then gradually drilling down to gain a more precise understanding of it in its various dimensions. This approach to eliciting needs is called peeling the onion. Let s say a business analyst assembles the needs de nition team in a conference room. She may start the elicitation process by making the following comment: In de ning needs, we must avoid identifying solutions before we really understand the basic nature of the needs. So let s start the process by getting a high-level sense of what DNWB needs in the broadest sense. Then we can gradually become more speci c and focus on of ce automation issues. So at the highest level of abstraction, let s identify DNWB s premier need associated with running its operations. In practice, the needs identi cation team can quickly reach agreement on this high-level need, since it is a noncontroversial motherand-apple-pie statement. Figure 4.1 shows that the team agrees that the highest-level operational need at DNWB is To improve overall

In the Style Sheet/Accessibility category, type position:absolute in the Style box. If you want to add other style options, separate them with semicolons. Content: Select the Alternate Content category and then specify the text that will be displayed in browsers that don t support floating frames.

Asympt. G i (dB) an (codeUuncoded) 1 6 - Q M 32-cross1 6 4 - Q M 8-PSK 16-QAM 32-CroSS 4.4 3.0 2.8 5.3 4.0 3.8

TheDiningPhilosophersproblemwasusedtoillustratethepointthatwhile deadlocks are easily found in models, they are not so readily apparent in programs. Indeed, the reason for modeling is to remove problems such as deadlock during design.

18. Set F1 wwy and F2 wwx in Green s theorem, where subscripts x and y denote partial derivatives. Then (F2)x (F1)y wx2 wy2 because 2w 0, and F1 dx F2 dy ( wwy x wwx y ) ds x j) ds w w ds n w(grad w) (y i w (grad w) n ds

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