Fetching the paper…
Reading the bibliography…
The rapid advancement of Large Language Models (LLMs) has spurred discussions about their potential to enhance quantitative trading strategies.
Mutual fund performance
William F. Sharpe · 1966
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Earlier work this paper cites.
Text mining of stocktwits data for predicting stock prices
Mukul Jaggi, Priyanka Mandal, Shreya Narang, Usman Naseem, and Matloob Khushi · 2021
Earlier work this paper cites.
Wudaocorpora: A super large-scale chinese corpora for pre-training language models
Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, and Jie Tang · 2021
Cited alongside, same era.
Fengshenbang 1.0: Being the foundation of chinese cognitive intelligence
Junjie Wang, Yuxiang Zhang, Lin Zhang, Ping Yang, Xinyu Gao, Ziwei Wu, Xiaoqun Dong, Junqing He, Jianheng Zhuo, Qi Yang, Yongfeng Huang, Xiayu Li, Yanghan Wu, Junyu Lu, Xinyu Zhu, Weifeng Chen, Ting Han, Kunhao Pan, Rui Wang, Hao Wang, Xiaojun Wu, Zhongshen Zeng, Chongpei Chen, Ruyi Gan, and Jiaxing Zhang · 2022
Cited alongside, same era.
https://caifuhao.eastmoney.com/ , 2023
Caifuhao · 2023
Cited alongside, same era.
Yujie Ding, Shuai Jia, Tianyi Ma, Bingcheng Mao, Xiuze Zhou, Liuliu Li, and Dongming Han · 2023
Cited alongside, same era.
Learning to generate explainable stock predictions using self-reflective large language models
Kelvin J.L. Koa, Yunshan Ma, Ritchie Ng, and Tat-Seng Chua · 2023
Closest in time.
Can chatgpt forecast stock price movements? return predictability and large language models
Alejandro Lopez-Lira and Yuehua Tang · 2023
Closest in time.
https://money.163.com/ , 2023
Netease · 2023
Closest in time.
https://finance.sina.com.cn/ , 2023
Sina · 2023
Closest in time.
Linking microblogging sentiments to stock price movement: An application of gpt-4
Rick Steinert and Saskia Altmann · 2023
Closest in time.
https://xw.qq.com/ , 2023
Tencent · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
DZZQ · 2023
Cited alongside, same era.
https://www.hexun.com/ , 2023
Hexun · 2023
Cited alongside, same era.
https://www.10jqka.com.cn/ , 2023
Hithink · 2023
Cited alongside, same era.
Finbert: A large language model for extracting information from financial text
Allen H Huang, Hui Wang, and Yi Yang · 2023
Cited alongside, same era.
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
Closest in time.
Temporal data meets llm – explainable financial time series forecasting
Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, and Yanbin Lu · 2023
Closest in time.