Computational Intelligence Techniques for Trading and Investment

This text is for graduate and postgraduate students of finance, financial engineering, and computer science, as well as practicing traders, financial analysts, economists, risk analysts, and investors interested in the development of accurate forecasting techniques. Basic algorithms and methods from computational intelligence, a sub-branch of artificial intelligence, are presented, followed by their applications in financial forecasting in combination with other prediction methods such as traditional computational techniques, artificial neural networks, and hybrid evolutionary methodologies. Annotation ©2014 Ringgold, Inc., Portland, OR (protoview.com)