Neural networks for stock market prediction: A methodological review

One of the most important challenging tasks in any field is prediction. In this paper we are reviewing neural network and data mining in stock market prediction, because employing traditional methods for the prediction failed to ensure the reliability. NN is one of the well known techniques which extract useful information from large data sets, whereas data mining predicts future trends and behaviors. Due to this the combination of this two techniques are much more reliable. From the reviews we came to that Neural Networks are identified as one of the leading machine learning techniques in stock market prediction. All the traditional techniques failed to cover the possible relations of stock price fluctuations.