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Designing a Hybrid AI System as a Forex Trading Decision Support Tool
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ICTAI archiveProceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence table of contents
Pages: 89 - 93
Year of Publication: 2005
ISBN ~ ISSN:1082-3409 , 0-7695-2488-5
Authors
Lean Yu
Chinese Academy of Sciences
Kin Keung Lai
City University of Hong Kong and Hunan University
Shouyang Wang
Chinese Academy of Sciences
Publisher
IEEE Computer Society Washington, DC, USA
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ABSTRACT
In this study, a hybrid artificial intelligent (AI) system integrating neural network and expert system is proposed to support foreign exchange (forex) trading decisions. In this system, a neural network is used to predict the forex price in terms of quantitative data, while an expert system is used to handle qualitative factor and to provide forex trading decision suggestions for traders incorporating experts' knowledge and the neural network's results. The effectiveness of the proposed hybrid AI system is illustrated by simulation experiments.
INDEX TERMS
Primary Classification: I. Computing Methodologies I.2 ARTIFICIAL INTELLIGENCE I.2.1 Applications and Expert Systems
Additional Classification: F. Theory of Computation F.1 COMPUTATION BY ABSTRACT DEVICES F.1.1 Models of Computation Subjects: Self-modifying machines (e.g., neural networks) J. Computer Applications J.1 ADMINISTRATIVE DATA PROCESSING Subjects: Financial (e.g., EFTS)
General Terms: Algorithms, Design, Experimentation, Measurement, Performance, Theory
Collaborative Colleagues:
Lean Yu: colleagues
Kin Keung Lai: colleagues
Shouyang Wang: colleagues