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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/147795 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |