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Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. (arXiv:2206.06606v1 [cs.CL])
June 15, 2022, 1:12 a.m. | Jinan Zou, Haiyao Cao, Lingqiao Liu, Yuhao Lin, Ehsan Abbasnejad, Javen Qinfeng Shi
cs.CL updates on arXiv.org arxiv.org
Natural Language Processing(NLP) demonstrates a great potential to support
financial decision-making by analyzing the text from social media or news
outlets. In this work, we build a platform to study the NLP-aided stock
auto-trading algorithms systematically. In contrast to the previous work, our
platform is characterized by three features: (1) We provide financial news for
each specific stock. (2) We provide various stock factors for each stock. (3)
We evaluate performance from more financial-relevant metrics. Such a design
allows us …
More from arxiv.org / cs.CL updates on arXiv.org
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