A recurrent neural network and a discrete wavelet transform to predict the Saudi stock price trends
Stock markets can be characterised as being complex, dynamic and chaotic environments, making the prediction of stock prices very tough. In this research work, we attempt to predict the Saudi stock price trends with regards to its earlier price history by combining a discrete wavelet transform (DWT)...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/90185/1/MutasemJarrah2019_ARecurrentNeuralNetwork.pdf http://eprints.utm.my/id/eprint/90185/ http://dx.doi.org/10.14569/ijacsa.2019.0100418 |
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