Recurrent neural networks for Apple stock price prediction
In recent years, there has been a significant focus on exploring the application of neural network architectures for financial prediction. This present study investigates the utilization of a Long Short-Term Memory (LSTM) model trained on both quarterly fundamental data and daily historical stock pr...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/166942 |