Machine Learning in Stock and Futures Markets



Wang, Zizhu
(2023) Machine Learning in Stock and Futures Markets. PhD thesis, University of Liverpool.

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Item Type: Thesis (PhD)
Uncontrolled Keywords: Machine Learning, Exchange Rate Forecasting, In flation Forecasting, Stock and Futures Price Forecasting, Multi-modal Factors, Hybrid Optimization, Price Patterns Image Recognition, Un structured Factors, SVM, Random Forest, Decision Tree, SVR-ARIMA, Convolutional Neural Networks, Hybrid Convolutional Neural Net works Based on Patch Learning, PLCNNs, Long Short Term Memory, Natural Language Processing, WFT-NLP
Divisions: Faculty of Science and Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 08 Feb 2024 16:38
Last Modified: 08 Feb 2024 16:39
DOI: 10.17638/03176961
Supervisors:
  • Hong, Yi
  • Goncu, Ahmet
  • Assa, Hirbod
URI: https://livrepository.liverpool.ac.uk/id/eprint/3176961