An approach of bio-inspired hybrid model for financial markets

Authors:
Dragan Simić;Vladeta Gajić;Svetlana Simić
Affiliations:
Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Year:
2010

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Abstract

Biological systems are inspiration for the design of optimisation and classification models Applying various forms of bio-inspired algorithms may be a very high-complex system Modelling of financial markets is challenging for several reasons, because many plausible factors impact on it An automated trading on financial market is not a new phenomenon The model of bio-inspired hybrid adaptive trading system based on technical indicators usage by grammatical evolution and moving window is presented in this paper The proposed system is just one of possible bio-inspired system which can be used in financial forecast, corporate failure prediction or bond rating company.