Stock prediction using artificial neural networks
Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally used for character recognition, and can potentially be used for stock market prediction, if we assume the stock market actually follows a pattern (from certain information) and is not random. We start...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/146093 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Neural Networks are very good in learning patterns from a lot of information. Thus, it is generally used for character recognition, and can potentially be used for stock market prediction, if we assume the stock market actually follows a pattern (from certain information) and is not random. We start by obtaining S&P 500 stocks data QuantQuote Free Historical Stock Data [4]. We then construct the neural network and train the weights. For now, we have data of 500 stocks (from 1998 to 07/31/2013 for most of them). Our aim will be to use some previous days stock prices of a single stock to predict the next day stock prices (1 value to predict/output). |
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