A-Trader – consulting agent platform for stock exchange gamblers

Jerzy Korczak , Maciej Bac , Krzysztof Drelczuk , Aleksander Fafuła

Abstract

The authors of this paper present the architecture of a multi-agent system which supports investment decisions. The individual components of the system, the manner of communication between them, the mechanism of assessing the individual agents are discussed here. Combining their common open/close position signals and relearning with the use of the selected data create the never-ending learning concept. New methods of transforming financial series, the behavioural model of stock exchange gamblers 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
Author Jerzy Korczak (MISaF / IBI / DIT)
Jerzy Korczak,,
- Department of Information Technologies
, Maciej Bac (MISaF / IBI / DIT)
Maciej Bac,,
- Department of Information Technologies
, Krzysztof Drelczuk (MISaF / IBI / DIT)
Krzysztof Drelczuk,,
- Department of Information Technologies
, Aleksander Fafuła (MISaF / IBI / DIT)
Aleksander Fafuła,,
- Department of Information Technologies
Pages963-968
Book Ganzha Maria, Maciaszek Leszek, Paprzycki Marcin (eds.): Proceedings of the 2012 Federated Conference on Computer Science and Information Systems, 2012, IEEE, ISBN 978-1-4673-0708-6, [978-83-60810-51-4], 1410 p.
Languageen angielski
Score (nominal)10
Citation count*16 (2016-09-20)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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