Stock market trading via actor-critic reinforcement learning and adaptable data structure
Currently, the stock market is attractive, and it is challenging to develop an efficient investment model with high accuracy due to changes in the values of the shares for political, economic, and social reasons. This article presents an innovative proposal for a short-term, automatic investment mod...
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Format: | Article |
Language: | English |
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PeerJ Inc.
2025-02-01
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Series: | PeerJ Computer Science |
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Online Access: | https://peerj.com/articles/cs-2690.pdf |