Stock Ranking with Multi-Task Learning

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Tao Ma, Ying Tan

Published: 2022, Last Modified: 09 Aug 2024Expert Syst. Appl. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Propose a Deep Multi-Task Learning solution for stock ranking predictions.•Combination of Deep Learning and Quantitative Research.•Perform ranking predictions on a large number of stocks.•Provide effective stock trading signals in real-world stock markets.