Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Prediction of short-term movements in stock prices

Fonotov A.1, Filatov Y.2, Babich H.1
1 SHEE «Donetsk National Technical University»
2 SHEE “Donetsk National Technical University”

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UDC: 004.032.26
Publication Language: Russian
Stuc. intelekt. 2013; 18(1):190–195

Abstract: This article provides an overview of the main methods of forecasting, such as statistical methods, the method of evolutionary programming, decision trees, genetic algorithms, methods of technical and fundamental analysis. The feasibility of applying these techniques to predict short-term the movement of stock prices in the stock market. The possibility of using neural networks to predict.

Keywords: forecasting, neural network, short term, forecasting methods

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