A survey of neural network techniques in market trend analysis

In this paper, a survey on the efficacy of neural network models in predicting market trends is performed by presenting a detailed taxonomy of a few recently proposed models. After surveying the results presented, it is demonstrated that neural networks can be superior when applied to trading simulation, and have greater potential to model noisy financial data compared to traditional classifier approaches.