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A Hybrid Financial Trading System Incorporating Chaos Theory, Statistical and Artificial Intelligence/Soft Computing Methods

This paper proposes a hybrid financial trading system that incorporates the application of chaos theory, non-linear statistical models and artificial intelligence/soft computing methods, specifically, Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs).

Invited Paper- Queensland Finance Conference 1999

Prof. Dr Clarence N W Tan, Ph.D. Assistant Professor, Computational Finance School of Information Technology Bond University

Summary:

• Abstract - Introduction

• Description of Proposed Hybrid System

• Second Phase:- Financial Forecasting Models using Non-linear Statistical and Soft Computing Methods

• Third Phase:- Financial Trading and Portfolio Management System

• Benefits of Research

• References

• Appendix A

• Fundamental Analysis

• Basic Structure of a Rule-based Financial Trading System

• Closing Position rules

• Books Related

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