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Survey Paper | Information Technology | India | Volume 4 Issue 4, April 2015

A Survey on Stock Market Prediction Techniques

Shyam Kute | Sunil Tamhankar

Abstract: Different techniques are available for the prediction of stock market. Very popular some of these are Neural Network, Data Mining, Hidden Markov Model (HMM) And Neuro-Fuzzy system. From these Neural Network and Neuro-Fuzzy Systems are the most leading machine learning techniques in stock market index prediction area. Other traditional methods do not cover all possible relation of stock price movements. Neural Network and Markov Model can be used exclusively in the financial markets and forecasting of stock price. Neural Networks discovers the non linear relationship in the input data set without knowing the relation between input and output. For the sample data which contain noisy information with least principle ANN can generalize and correctly infer the unseen part of data. Hence ANN suits well than any other models in the prediction of stock markets.

Keywords: Artificial Neural Network ANN, Data Mining, Hidden Markov Model HMM, Neuro-Fuzzy system

Edition: Volume 4 Issue 4, April 2015,

Pages: 303 - 306

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