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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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/95913/ http://dx.doi.org/10.36689/uhk/hed/2021-01-014 |
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