Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies

Today's article comes from the Array journal. The authors are Bhuiyan et al., from the Washington University of Science and Technology, in Virginia. In this paper, they show us how some financial traders are using not-just ML, but Deep Learning to give themselves a competitive edge.

DOI: 10.1016/j.array.2025.100390

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