Web-service-agents-based Securities Trading Simulation System

A global trend towards automated trading systems encourages the appearances of different kinds of decision support systems (DSS) for securities trading. However, the efficiency and effectiveness of the trading decisions and investment strategies suggested by a computer based system are always being oppugned by researchers for abnegating the specialists’ professional intermediary roles in traditional floor trading. Without proper validations, evaluations and comparisons, those valuable decision support systems can hardly be adopted trustily. This paper presents a Web-service-agents-based Securities Trading Simulation System (STSS) as a platform to validate, evaluate and compare the existing securities trading decision support systems by using the real world securities trading data from Chicago Stock Exchange. Agent technology is applied to deal with the complex, dynamic, and distributed securities trading processes. Web-services techniques are proposed for more interoperability and scalability in network-based business environment. By integrating agent technology with Web-services to make use of the advantages of both, this approach provides a more intelligent, flexible, and comprehensive platform to simulate the securities trading process. Performance of different decision support systems for securities trading can be validated, evaluated and compared either separately or simultaneously on a real time basis.

[1]  R. K. Wong,et al.  A hybrid approach for automated trading systems , 1994, Proceedings of ANZIIS '94 - Australian New Zealnd Intelligent Information Systems Conference.

[2]  Shou-De Lin,et al.  Designing the Market Game for a Trading Agent Competition , 2001, IEEE Internet Comput..

[3]  Brian A. Eales.  Brookings- Wharton Papers on Financial Services, 1999 , 2002 .

[4]  Stephen Shaoyi Liao,et al.  Intelligent agents and financial risk monitoring systems , 2002, CACM.

[5]  Michael N. Huhns,et al.  Agents as Web Services , 2002, IEEE Internet Comput..

[6]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[7]  黃劭彥,et al.  How is Market Efficiency Disappeared? Comparing the Opening Position and Closing Position Simulation Results. , 2004 .

[8]  Bruce W. Weber,et al.  Electronic Trading Systems: Strategic Implications of Market Design Choices , 1995, J. Organ. Comput. Electron. Commer..

[9]  Alan J. Marcus,et al.  What's special about the specialist? , 1992 .

[10]  Luis E. Ortiz,et al.  The Penn-Lehman Automated Trading Project , 2003, IEEE Intell. Syst..

[11]  Feipei Lai,et al.  A rule-based neural stock trading decision support system , 1996, IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr).

[12]  Jung-Hua Wang,et al.  Stock trading decision support system using a rule selector based on sliding window , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[13]  Kecheng Liu,et al.  A multi-agent decision support system for stock trading , 2002, IEEE Netw..

[14]  K. Venkataraman,et al.  Automated Versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges , 2000 .

[15]  Johannes A. Skjeltorp,et al.  Equity Trading by Institutional Investors: Evidence on Order Submission Strategies , 2003 .

[16]  Douglas R. Vogel,et al.  A web-service agent-based decision support system for securities exception management , 2004, Expert Syst. Appl..

[17]  Michael Wooldridge,et al.  Applications of intelligent agents , 1998 .

[18]  Shou-De Lin,et al.  A trading agent competition , 2000 .

[19]  Robert J. Glushko,et al.  An XML framework for agent-based E-commerce , 1999, CACM.

[20]  Eugene Lopez,et al.  Automated Securities Trading , 1993 .

[21]  Michael P. Wellman,et al.  The 2001 trading agent competition , 2002, Electron. Mark..

[22]  Chen Wang,et al.  Intelligent Agents in the Nuclear Industry , 1997, Computer.

[23]  Huaiqing Wang,et al.  Intelligent agent-assisted decision support systems: Integration of knowledge discovery, knowledge analysis, and group decision support , 1997 .

[24]  Huaiqing Wang,et al.  Web-service-agents-based family wealth management system , 2005, Expert Syst. Appl..

[25]  Michael Wooldridge,et al.  Intelligent agents: theory and practice The Knowledge Engineering Review , 1995 .

[26]  Bruce W. Weber,et al.  Next-Generation Securities Market Systems: An Experimental Investigation of Quote-Driven and Order- Driven Trading , 1997, J. Manag. Inf. Syst..

[27]  J. Dugdale,et al.  A cooperative problem-solver for investment management , 1996 .