A Hybrid Neural Network System for Trading Financial Markets

Abstract

In this chapter Marina Resta demonstrates experimentally the great potential of neural networks for design of systems for trading stock markets. She suggests the use of a hybrid neural network architecture that combines the approach of Self-Organizing Maps together with that of Genetic Algorithms. She shows the forecasting capabilities of this hybrid system and evidence of the performance of this system. This chapter is a nice extension of the applications of trading systems presented in “Trading on the Edge”. The novelty here is that genetic algorithms and self-organizing maps are combined.