Stock Prediction Using Artificial Neural Networks

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Provided by: IIR Publications
Topic: Networking
Format: PDF
Accurate prediction of stock price movements is highly challenging and significant topic for investors. Investors need to understand that stock price data is the most essential information which is highly volatile, non-linear, and non-parametric and are affected by many uncertainties and interrelated economic and political factors across the globe. Artificial Neural Networks (ANN) have been found to be an efficient tool in modeling stock prices and quite a large number of studies have been done on it. In this paper, ANN modeling of stock prices of selected stocks under BSE is attempted to predict closing prices.
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