Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
Chapter 1 Introduction
Section I: Introduction to Visual C++.NET 2005
Chapter 2 The .NET Framework
Chapter 3 Tracking References
Chapter 4 Classes and Objects
Chapter 5 Reference Types
Chapter 6 Value Types
Chapter 7 Unmanaged Objects
Chapter 8 Composition
Chapter 9 Properties
Chapter 10 Structures and Enumerations
Chapter 11 Inheritance
Chapter 12 Converting and Casting
Chapter 13 Operator Overloading
Chapter 14 Delegates and Events
Chapter 15 Arrays
Chapter 16 Generating Random Numbers
Chapter 17 Time and Timers
Chapter 18 Input and Output Streams
Chapter 19 Exception Handling
Chapter 20 Collections
Chapter 21 STL/STL.NET
Chapter 22 DataSets
Chapter 23 Connecting to Databases
Chapter 24 Structured Query Language
Chapter 25 XML
Chapter 26 Financial Information Exchange Protocol
Chapter 27 Serialization
Chapter 28 Windows Services
Chapter 29 Setup and Installation Packages
Section II: Concurrency
Chapter 30 Threading
Chapter 31 Synchronization Classes
Chapter 32 Sockets
Section III: Interoperability and Connectivity
Chapter 33 Marshaling
Chapter 34 Interior and Pinning Pointers
Chapter 35 Connecting to Managed DLLs
Chapter 36 Connecting to Componenet Object Model (COM) DLLs with COM Interop
Chapter 37 Connecting to C++DLLs with Platform Invocation Services
Chapter 38 Connecting to Excel
Chapter 39 Connecting to TraderAPI
Chapter 40 Connecting to XTAPIConnection_Example
Section IV: Automated Trading Systems
Chapter 41 Building Trading Systems
Chapter 42 K„ V Trading System Development Methodology
Chapter 43 Automated Trading System Classes
Chapter 44 Single-Threaded, Technical Analysis System
Chapter 45 Producer/Consumer Design Pattern
Chapter 46 Multithreaded, Statistical Arbitrage System
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 sections—programming techniques and automated trading system ( ATS ) technology—and 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. The second section of the book explains technological concerns and design concepts for automated trading systems. Specifically, chapters are devoted to handling real-time data feeds, managing orders in the exchange order book, position selection, and risk management. A .dll is included in the book that will emulate connection to a widely used industry API ( Trading Technologies, Inc.’s XTAPI ) and provide ways to test position and order management algorithms. Design patterns are presented for market taking systems based upon technical analysis as well as for market making systems using intermarket spreads. As all of the chapters revolve around computer programming for financial engineering and trading system development, this book will educate traders, financial engineers, quantitative analysts, students of quantitative finance and even experienced programmers on technological issues that revolve around development of financial applications in a Microsoft environment and the construction and implementation of real-time trading systems and tools.
- Teaches financial system design and development from the ground up using Microsoft Visual C++.NET 2005.
* Provides dozens of examples illustrating the programming approaches in the book
* Chapters are supported by screenshots, equations, sample Excel spreadsheets, and programming code
Primary audience: financial engineers, quantitative analysts, programmers in trading companies; graduate students in financial engineering and financial markets courses and programs.
- No. of pages:
- © Academic Press 2007
- 7th March 2007
- Academic Press
- Hardcover ISBN:
- eBook ISBN:
"Building Automated Trading Systems is a must read for anyone developing professional algorithmic trading systems. It brings all aspects of design, functionality and real-time system implementation into clear step-by-step focus. This book will be a first choice reference manual for the serious professional .NET programmer in trading system development." -- Russell Wojcik, Member of CME and CBOT, Head of Trading Strategy Concentration, Illinois Institute of Technology "This book is an excellent primer for anyone interested in developing automated or semi-automated trading applications. Ben covers the programming knowledge needed to develop successful trading applications. A must have for traders getting into programming and programmers getting into trading. It will also serve as a useful reference for developing more sophisticated trading tools." -- Sagy P. Mintz, Vice President, Trading Technologies, Inc.
Ben Van Vliet is a Lecturer at the Illinois Institute of Technology (IIT), where he also serves as the Associate Director of the M.S. Financial Markets program. At IIT he teaches courses in quantitative finance, C++ and .NET programming, and automated trading system design and development. He is vice chairman of the Institute for Market Technology, where he chairs the advisory board for the Certified Trading System Developer (CTSD) program. He also serves as series editor of the Financial Markets Technology series for Elsevier/Academic Press and consults extensively in the financial markets industry.
Mr. Van Vliet is also the author of "Modeling Financial Markets" with Robert Hendry (2003, McGraw Hill) and "Building Automated Trading Systems"(2007, Academic Press. Additionally, he has published several articles in the areas of finance and technology, and presented his research at several academic and professional conferences.
Lecturer in and the Associate Director of the Masters in Financial Markets Program, Stuart School of Business, Illinois Institute of Technology, USA
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.