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Ruggiero, Murray A., Jr. (1997). Cybernetic Trading. New York: John Wiley & Sons. Rug&m, Murray A., Jr. (May 1998). Unholy Search for the Grail. Funcres Magazine. Schwager, Jack (October 1992). Selecting the Best Futures for Computer Testing. Technical Analysis of Stocks and Commodities, pp. 65-71. Sharp+ William E (Fall 1994). The Shape Ratio. Journal of Porffolio Management. Space Science Institute (1996). A Magnetic Storm Rips through !&ah s Atmosphere. A news release on their web site: www@www-ssi.colorado.edu. Star, Barbara (July 1993). WI Variations. Technical Analysis ofSlocks rind Commodities, pp. 5460. Stendahl, David (1999). Evaluating Trading Performance. Computerized Trading. New Jersey: New York Institute of Finance/Prentice Hall, pp. 137-162. Sweeney, John (1993). Where to Put Your Stops. Technical Analysis of Srocks and Commodities (Bonus Issue), pp. 3&32. Sweeney, John (April 1998). Applying Moving Averages. Technical Analysis of Stocks and Commodities, pp. 48-50. Tilley, D.L. (September 1998). Moving Averages with Resistance and Support. Technical Analysis of Srocks and Commodities, pp. 62-87. Trippi, Robert R., and Turban, Efraim (Eds.) (1993). Neural Nenvorks in Finance and Investing. Chicago: Pmbus Publishing. White, Adam (April 1993). Filtering Breakouts. Technical Analysis of Sfocks and Commodities, pp. 3w1. Wilder, J. Welles (1978). New Concepfs in Technical Trading Systems. Trend Research. Williams, Larry (1979). How Z Made One Million Dollars Last Year Trading: Commodities. New York: Windsor Books. Yuret, D&z, and de la Maza, Michael (June 1994). A Genetic Algorithm System for Predicting the OEX, Technical Analysis of Stocks and Comnwdiries, pp. 5864.



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Table 11-7 provides details on the key members of the LocalMessageSender class. Table 11-7. Key Members of the LocalMessageSender Class

Sender (From) Recipient (To) Date Subject Cc Bcc Attachment Copy Message body Signature (optional) Priority Various other miscellaneous fields

AI (see Genetic algorithms, Neural networks) Alexa. der, Colin, 113 All-past-years technique, 158 Analysis, 39 Analytic opti li7m, 39, lo. 48 Annealing, 38 Annualized risk-to-reward ratio (ARRR), 15.60 Appel. Gerald, 133 Artificial intdligence (see Genetic algorithms, Neural networks) Astrology, ,79 (See ok0 Lunar and Bohr rhythms) Author s conclusions, 353-363 Average directional mowmenl index (see ADX trend filter) Average tree rmgc, 86 Back-adjustment, 3.4 Bad curve-fitting, S4 Band-pass ,i,tcr, 207 Barrier ai s, 287 Bmm & 12 Bars, 109 Basic C~SSOW mode,: lunar activity, 191-194 seasonality, 166--170 Basic mome tum model:





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The point is that the number of defined fields is relatively small, and as long as each mail system knows what the fields are and where they exist in the coding scheme of the canonical standard, it will be able to map its own content to and from X.400 or SMTP. Problem solved. Once the message has been encoded properly as an e-mail message, the Application Layer passes the now slightly larger message down to the Presentation Layer. It does this across a layer-to-layer interface using a simple set of commands called service primitives. The Presentation Layer provides a more general set of services than does the Application Layer, which have to do with the structural form or syntax of the data. These services include code conversion, such as sevenbit ASCII to eight-bit EBCDIC translation; compression, using such services as PKZIP, British Telecom Lempel-Ziv, the various releases of the Moving Picture Experts Group (MPEG), the Joint Photographic Experts

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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ha activity, 194. I95 seasonality, 1 7 0 , 171 Bernstein, Me, 154

This method sends a message to the receiver in asynchronous mode. This property gets the domain information of the LocalMessageReceiver for sending messages. This property gets the name of the LocalMessageReceiver for sending messages. This event is raised when the message is successfully sent to the LocalMessageReceiver.

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Group (JPEG), and a variety of others; and encryption, including Pretty Good Privacy (PGP), Public Key Cryptography (PKC), and so on Note that these services can be used on any form of data: Spreadsheets, word processing documents, and rock music can all be compressed and encrypted Compression is typically used to reduce the number of bits required to represent a file through a complex manipulative mathematical process that identifies redundant information in the image, removes it, and sends the resulting smaller file off to be transmitted or archived To explain how compression works, let s examine JPEG JPEG was developed jointly by ISO and the ITU-T as a technique for the compression of still images while still retaining varying degrees of quality as required by the user s application Here s how it works Please refer to Figures 2-16a and b, which are photographs of my daughter, Cristina.

Breakout models (Conr,): breakout type. 104 channel breakouts, W-997 characterisdcfi of breakouts, 84, 85 dose only channel breakouts, 8692 currencies only, 101, 102 eney orders, 104-106 highest high/lowest low breakouts, 92-97 interactions. IO-5 lessons learned, 107, 10R long positions only, 100, 101 res ictio sJfilters, la5 summary of results, ,0+,07 testing, X5-104 types of breakouts, 83. 84 volatility breakout variations. lW104 volatility bmkows, 97-100 Breasert, 203 Brnte force optimizers, S-34.47 Burke. Gibbons, 257

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