A-Trader — Consulting agent platform for stock exchange gamblers

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.