Wang, Zizhu
(2023)
Machine Learning in Stock and Futures Markets.
PhD thesis, University of Liverpool.
Text
201170528_March 21 2023.pdf - Author Accepted Manuscript Access to this file is embargoed until 1 January 2027. Download (22MB) |
Item Type: | Thesis (PhD) |
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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: |
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URI: | https://livrepository.liverpool.ac.uk/id/eprint/3176961 |
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