Stock market prediction by combining multiple neural network models for standard technical analysis tools
Tonći Kokan · 2009
Neural network models are one the most frequently used alternatives to traditional technical analysis tools for stock market prediction. In this paper we combine the two approaches by modeling several widely used technical analysis techniques by neural networks. Similarities and differences between those techniques are then explored by comparing their corresponding neural network models. Algorithms for construction of neural networks as combinations of the obtained models are presented. Performances of the constructed models are tested against performances of the standard techniques.