Part I: Introduction
1. Computational Intelligence: Recent advances, perspectives and open problems K. Theofilatos, E. Georgopoulos, S. Likothanassis and S. Mavroudi
2. Forecasting and trading strategies: A survey C. Stasinakis and G. Sermpinis Part II: Trading and Investments with Traditional Computational Intelligence Techniques
3. Hidden Markov Models: Financial modelling and applications S. Mitra
4. Modelling and Trading Financial Time-Series Using Kalman Filters and ARMA Modelling C. Dimitrakopoulos, A. Karathanasopoulos, G. Sermpinis and S. Likothanassis Part III: Trading and Investments with Artificial Neural Networks
5. Modelling and Trading the Corn/Ethanol Crush Spread with Neural Networks C. Dunis, J. Laws, P. Middleton and A. Karathanasopoulos
6. Trading Decision Support with Historically Consistent Neural Networks J. Von Mettenheim Part IV: Trading and Investments with Hybrid Evolutionary Methodologies
7. Modelling and Trading Financial Time-Series Using Adaptive Evolutionary Neural Networks K. Theofilatos, T. Amorgianiotis, A. Karathanasopoulos, G. Sermpinis and S. Likothanassis
8. Portfolio Construction Using Argumentation and Hybrid Evolutionary Forecasting Algorithms N. Spanoudakis, K. Pendaraki and G. Beligiannis Part V: Trading and Investments with Advanced Computational Intelligence Modelling Techniques
9. Forecasting DAX30 Using Support Vector Machine and VDAX R. Rosillo, J. Giner and D. de la Fuente
10. Ensemble Learning of High-Dimensional Stock Market Data M. Maragoudakis and D. Serpanos