Feb. 27, 2024, 5:42 a.m. | Qishuo Cheng, Le Yang, Jiajian Zheng, Miao Tian, Duan Xin

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.15994v1 Announce Type: cross
Abstract: Portfolio management issues have been extensively studied in the field of artificial intelligence in recent years, but existing deep learning-based quantitative trading methods have some areas where they could be improved. First of all, the prediction mode of stocks is singular; often, only one trading expert is trained by a model, and the trading decision is solely based on the prediction results of the model. Secondly, the data source used by the model is relatively …

abstract analysis artificial artificial intelligence arxiv assessment cs.ce cs.lg deep learning digital digital assets intelligence management portfolio prediction predictive predictive analysis q-fin.cp quantitative risk risk assessment stocks trading type

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