Stock Prediction Scrutiny using Artificial Neural Network
G. Sundar1, K. Satyanarayana2

1G. Sundar, Research Scholar, Bharath University, Chennai (Tamil Nadu), India.
2K. Satyanarayana, Principal & Professor, Department of Computer Science, Sindhi College, Chennai (Tamil Nadu), India.
Manuscript received on 23 April 2019 | Revised Manuscript received on 02 May 2019 | Manuscript Published on 07 May 2019 | PP: 105-108 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1021376S19/2019©BEIESP
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Abstract: This paper is based on the survey of neural networks in predicting stocks price in the market. The stock market prediction helps in identifying the investment decision before investing on different companies. Neural networks offer the capability to determine the outlines in the market prediction. Common stock market details and artificial neural network techniques are discussed. The study reports how neural networks leave behind the current techniques. The imminent ways for relating neural networks to the stock markets are discussed by forming survey table. Finally, future directions for applying the artificial neural network to the stock markets are discussed.
Keywords: Stock Market, Artificial Neural Network (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Predictions.
Scope of the Article: Neural Information Processing