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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Bibliographic Details
Main Author: Huang, Melville Bin
Other Authors: Wang Lipo
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166942