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The detection system does not have to be perfect, just sufficiently better than chance so as to overcome transaction costs For the model that predicts the time-reversed Slow %K, a similar strategy will be used If the prediction indicates that the time-reversed Slow %K is likely to be less than some lower threshold, a buy will be posted; the market is near the bottom of its near-future range and so a profit should quickly develop Likewise, if the predicted reverse Slow %K is high, above an upper threshold, a sell will be posted These entries share the characteristics of other entries based on predictive, rather than responsive, analysis The entries lend themselves to countertrend trading and, if the predictions are accurate, can dramatically limit transaction costs in the form of slippage, and provide good fills since the trader will be buying when others are selling and vice versa.



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tains cell sequence and synchronization information that is required to provision constant bit rate, fully sequenced service. AAL1 provides circuit emulation service without dedicating a physical circuit, which explains the need for an end-to-end timing relationship between the transmitter and the receiver. AAL5, on the other hand, is designed to provide both Class C and D services, and while it was originally proposed as a transport scheme for connection-oriented data services, it turns out to be more efficient than AAL3/4 and accommodates connectionless services quite well. To guard against the possibility of errors, AAL5 has an eight-octet trailer appended to the user data, which includes a variable-size pad field used to align the payload on 48-octet boundaries, a two-octet control field that is currently unused, a two-octet length field that indicates the number of octets in the user data, and, finally, a four-octet CRC that can check the integrity of the entire payload. AAL5 is often referred to as the simple and easy adaptation layer, or SEAL, and it may find an ideal application for itself in the burgeoning Internet arena. Recent studies indicate that TCP/IP transmissions produce comparatively large numbers of small packets that tend to be around 48 octets long. That being the case, AAL5 could well transport the bulk of them in its user data field. Furthermore, the maximum size of the user data field is 65,536 octets; coincidentally, the same size as an IP packet.





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A good predictive model is the trader s Holy Grail, providing the ability to sell near tops and buy near bottoms As with other predictive-based entries, if the predictions are not sufficiently accurate, the benefits will be outweighed by the costs of bad trades when the predictions go wrong, as they often do..

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Figure 5-5 Schematic diagram of a hard drive As the platters spin, the read-write heads access the magnetized surfaces of each platter, writing information to and reading information from them.

The first step in developing a neural forecasting model is to prepare a trainingfact set, which is the sample of data consisting of examples from which the net learns; i.e., it is the data used to train the network and to estimate certain statistics. In this case, the fact set is generated using the in-sample data from all commodities in the

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When the operating system formats a disk, it logically divides the disk into what are called cylinders, tracks, and sectors, as shown in Figure 5-6. It then uses those delimiters as a way to store and recall files on a drive, using three dimensions. When the operating system (OS) writes the file to the disk surface, there is every possibility (in fact it is likely) that the file will not be written to the surface in a contiguous stream of bits. Instead, the file may be broken into pieces, each of which may be written on a different part of the disk array. The pieces are linked together by the operating system using a series of pointers, which tell the OS where to go to get the next piece of the file when the time comes to retrieve it. The pointer, of course, is a cylinder:track:sector indication.

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.

In the chapter5Socket solution, we have added MessengerServer as a separate Windows service project. Like the PolicyServer project, the MessengerServer project contains two classes: MessengerServer, which listens for requests and tracks clients, and MessengerConnection, which handles the interaction of a single client.

portfolio The number of facts in the fact set is, therefore, large-88,092 data points A fact set is only generated for training, not for testing, for reasons that will be explained later To generate the facts that make up the fact set for this model, the initial step of computing the time-reversed Slow %K, which is to serve as the target, must be taken Each fact is then created and written to a file by stepping through the insample bars for each commodity in the portfolio For each current bar (the one currently being stepped through), the process of creating a fact begins with computing each input variable in the fact This is done by calculating a difference between a pair of prices, and then dividing that difference by the square-root of the number of bars that separate the two prices.

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