A-Trader - doradcza platforma agentowa dla graczy giełdowych

• Authors: Jerzy Korczak , Maciej Bac , Krzysztof Drelczuk , Aleksander Fafuła

Title variants

EN

A-Trader - Advisory Multi-Agent Platform for Stock Traders

• Languages of publication: PL

Abstracts

The authors of this paper present the architecture of a multi-agent system which supports investment decisions on the stock market. The individual components of the system, the manner of communication between them, the mechanism of assessing the individual agents are discussed. New methods of pre-processing financial series, the concept of never-ending learning, the behavioural model of stock exchange traders and the manners of translating the modelled patterns into the open and close position signals are described. The results of the research are described and the directions of the further development of the platform are provided in the conclusion.

Keywords

PL

Systemy multiagentowe; Systemy wspomagania decyzji; Szeregi czasowe

EN

Decision Support Systems (DSS); Multi-agent system; Time-series

• Publisher: Uniwersytet Ekonomiczny w Katowicach
• Journal: Studia Ekonomiczne
• Year: 2013
• Volume: 138
• Pages: 79-93

Contributors

author

Jerzy Korczak

author

Maciej Bac

author

Krzysztof Drelczuk

author

Aleksander Fafuła

References

• Adamczyk I. (2007): Ewolucyjny system wieloagentowy. Praca magisterska, Uniwersytet Wrocławski, Wrocław 2007.
• Agarwal S. (2011): Toward a Push Scalable Global Internet. Proc. Global Internet Symposium. IEEE Infocom, Shanghai.
• Allen F., Karjalainen R. (1999): Using Genetic Algorithms to Find Technical Trading Rules. "Journal of Financial Economic", No. 51.
• Bac M. (2010): Self Organizing Map (SOM) Network Application Support for Short-term Investment Decisions. W: Data Mining and Business Intelligence. Red. J. Korczak. Wydawnictwo UE, Wrocław.
• Bac M., Kwaśnicka H. (2009): Możliwości zastosowania algorytmów genetycznych w systemach informacyjnych wspomagających proces podejmowania decyzji gracza giełdowego. W: Inżynieria i systemy ekspertowe. Red. A. Grzech, K. Juszczyszyn, H. Kwaśnicka. Akademicka Oficyna Wydawnicza Exit, Warszawa 2009.
• Barbazon A., O'Neill M. (2007): Biologically Inspired Algorithms for Financial Modelling. Springer, 2005.
• Bohm V., Wenzelburger J. (2005): On the Performance of Efficient Portfolios. "Journal of Economic Dynamics and Control" April, Vol. 29, Iss. 4.
• Chapman P., Clinton J., Kerber R., Khabaza T., Reinart T., Shaerer C., Wirth R. (2000): CRISP-DM Step-by-step Data Mining Guide, http://www.crisp-dm.org.
• Chiarella C., Dieci P., Gardini L. (2006): Asset Price and Wealth Dynamics in a Financial Market with Heterogeneous Agents. "Journal of Economic Dynamics and Control", Vol. 30.
• Dempster M., Jones C. (2001): A Real Time Adaptive Trading System using Genetic Programming. "Quantative Finance", No. 1.
• Dymova L, Sevastianov P., Bartosiewicz P. (2010): A New Approach to the Rule-base Evidential Reasoning: Stock Trading Expert System Application. "Expert Systems with Applications", Vol. 37, Iss. 8.
• Fafuła A. (2010): A Prototype of Platform for Data-driven Approach to Detection of Cognitive Biases. W: Data Mining and Business Intelligence. Red. J. Korczak. Wydawnictwo UE, Wrocław.
• Hernes M. (2011): Metody consensusu w rozwiązywaniu konfliktów wiedzy w wieloagentowym systemie wspomagamia decyzji. Praca doktorska. Wydawnictwo UE, Wrocław.
• Korczak I., Lipiński P. (2008): Systemy agentowe we wspomaganiu decyzji na rynku papierów wartościowych. W: Rozwój informatycznych systemów wieloagentowych w środowiskach społeczno-gospodarczych. Red. S. Stanek et al. Placet, Warszawa.
• Korczak J., Lipiński P. (2002): Design of Stok Trading System Based on Intelligent Agents. Internat. Conf. ACs'2002, Międzyzdroje.
• Korczak J., Lipiński P. (2006): Technology of Intelligent Agents used in Financial Data Analysis. Proceedings of 5th Ogólnopolska Konferencja Naukowa Nowoczesne Technologie Informacyjne w Zarządzaniu, NTIZ2006. Wydawnictwo AE, Wrocław.
• Le Baron B. (2011): Active and Passive Learning in Agent-based Financial Markets. "Eastern Economic Journal", Vol. 37.
• Lipiński P. (2004): Evolutionary Data-Mining Methods in Discovering Stock Market Expertise from Financial Series. PhD thesis, Université Louis Pasteur, Strasbourg 2004.
• Luna F., Perrone A., eds (2002): Agent-based Methods in Economics and Finance: Simulations in Swarms. Springer.
• Raudys S., Zliobaite I. (2006): The Multi-Agent System for Prediction of Financial Time Series. Proc. ICAISC, LNAI4029.
• Stanek S., Sroka H., Paprzycki M., Gannzha M. (2008): Rozwój informatycznych systemów wieloagentowych w środowiskach społeczno-gosodarczych. Placet, Warszawa.
• Sundali J., Croson P. (2006): Biases in Casino Betting: The Hot Hand and the Gambler's Fallacy. "Judgment and Decision Making", Vol. 1, No. 1.
• Sycara K.P., Decker K., Zeng D. (2002): Intelligent Agents in Portfolio Management, Agent Technology. Agent Technology: Foundations, Applications, and Markets. Eds. N. Jennings, M. Wooldridge. Springer, Heidelberg.
• Tversky A., Kahneman D. (1974): Judgment under Uncertainty: Heuristics and Biases. "Science" 185 (4157).
• Westerhoff F.H. (2004): Multiasset Market Dynamics. Macroeconomic. "Dynamics", No. 8.
• [WWW1] http://www.w3.org/TP/2003/WD-soapl2-mtom-20030721/.
• [WWW2] http://www.w3.org/TP/soap/.
• [WWW3] http://www.xml.com/pub/a/2003/02/26/binaryxml.html.
• [WWW4] http://iade.tilab.com/.
• [WWW5] http:/www.jade.co.nz/jade/index.htm.

Identifiers

ISSN

2083-8611