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Programming Building Automated Trading Systems: With an Introduction to Visual C++.NET 2005 (Financial Market Technology)

Posted on 2010-04-15




Name:Programming Building Automated Trading Systems: With an Introduction to Visual C++.NET 2005 (Financial Market Technology)
ASIN/ISBN:0750682515
Publish Date:2007-03-07
Pages:336 pages
File size:1.41 Mb
ISBN: 0750682515
Publish Date: 2007-03-07
File Type: PDF
Pages: 336 pages
File Size: 1.41 MB
Other Info: Academic Press
   Programming Building Automated Trading Systems: With an Introduction to Visual C++.NET 2005 (Financial Market Technology)



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Building Automated Trading Systems: With an Introduction to Visual C++.NET 2005 (Financial Market Technology)

Over the next few years, the proprietary trading and hedge fund industries will migrate largely to automated trade selection and execution systems. Indeed, this is already happening. While several finance books provide C++ code for pricing derivatives and performing numerical calculations, none approaches the topic from a system design perspective. This book will be divided into two sectionsprogramming techniques and automated trading system ( ATS ) technologyand teach financial system design and development from the absolute ground up using Microsoft Visual C++.NET 2005. MS Visual C++.NET 2005 has been chosen as the implementation language primarily because most trading firms and large banks have developed and continue to develop their proprietary algorithms in ISO C++ and Visual C++.NET provides the greatest flexibility for incorporating these legacy algorithms into working systems. Furthermore, the .NET Framework and development environment provide the best libraries and tools for rapid development of trading systems.

The first section of the book explains Visual C++.NET 2005 in detail and focuses on the required programming knowledge for automated trading system development, including object oriented design, delegates and events, enumerations, random number generation, timing and timer objects, and data management with STL.NET and .NET collections. Furthermore, since most legacy code and modeling code in the financial markets is done in ISO C++, this book looks in depth at several advanced topics relating to managed/unmanaged/COM memory management and interoperability. Further, this book provides dozens of examples illustrating the use of database connectivity with ADO.NET and an extensive treatment of SQL and FIX and XML/FIXML. Advanced programming topics such as threading, sockets, as well as using C++.NET to connect to Excel are also discussed at length and supported by examples.

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