A deep reinforcement learning approach to automated stock trading
Deep reinforcement learning is recognised as an advantageous solution to automated stock trading. It has the potential of establishing an end-to-end solution that directly generate the target portfolio from market data. But applying it to financial tasks often undergoes an error-pone development pro...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/147795 |