Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
Published in FinNLP@EMNLP, 2022
This paper presents a platform for systematically studying NLP-aided stock auto-trading algorithms, featuring financial news and stock factors for each stock.
[paper] (https://aclanthology.org/2024.lrec-main.1275.pdf)
[code] (https://github.com/JinanZou/Astock)
Recommended citation: Zou, J., Cao, H., Liu, L., Lin, Y., Abbasnejad, E. and Shi, J.Q., 2022, December. Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. In Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP) (pp. 178-186).