Halliday, R.2013-05-142013-05-142004Halliday, R. (2004), Equity trend prediction with neural networks, Research Letters in the Information and Mathematical Sciences, 6, 15-291175-2777http://hdl.handle.net/10179/4427This paper presents results of neural network based trend prediction for equity markets. Raw equity exchange data is pre-processed before being fed into a series of neural networks. The use of Self Organising Maps (SOM) is investigated as a data classification method to limit neural network inputs and training data requirements. The resulting primary simulation is a neural network that can prediction whether the next trading period will be, on average, higher or lower than the current. Combinations of pre-processing and feature extracting SOM’s are investigated to determine the more optimal system configuration.enNeural networksData classificationSelf Organising MapsArticle