Investigating the effects of AI trading robots in the financial market - a game theoretical approach
This paper discusses the effects of increased proportion of investors using artificial intelligence algorithms to trade in a simulated stock market. The stock market model is modelled using a Markov game and agents’ trading logic is discussed to best mirror the real world. In particular, a Q-learnin...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/175566 |
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