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Forecasting of the stock price using recurrent neural network – long short-term memory

We employ a recurrent neural network with Long short-term memory for the task of stock price forecasting. We chose three stocks from the same sub-industry: Visa, Mastercard, and PayPal. This paper aims to test the LSTM network's prediction on stock prices and propose the best settings for selec...

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Bibliographic Details
Main Authors:	Dobrovolny, Michal, Soukal, Ivan, Salamat, Ali, Cierniak-Emerych, Anna, Krejcar, Ondrej
Format:	Conference or Workshop Item
Published:	2021
Subjects:	QA Mathematics TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/95913/ http://dx.doi.org/10.36689/uhk/hed/2021-01-014
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