A convolutional deep reinforcement learning architecture for an emerging stock market analysis
In the complex and dynamic stock market landscape, investors seek to optimize returns while minimizing risks associated with price volatility. Various innovative approaches have been proposed to achieve high profits by considering historical trends and social factors. Despite advancements, accu...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2025-01-01
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| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol14/dsl_2025_6.pdf |
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