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Recent advancements in large language models (LLMs) have opened new pathways for many domains.
Hats: A hierarchical graph attention network for stock movement prediction
Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, and Jaewoo Kang. 2019 · 1908
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Www’18 open challenge: financial opinion mining and question answering
Macedo Maia, Siegfried Handschuh, André Freitas, Brian Davis, Ross McDermott, Manel Zarrouk, and Alexandra Balahur. 2018 · 1942
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Stock movement prediction from tweets and historical prices
Yumo Xu and Shay B Cohen. 2018 · 1979
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Letter to shareholders (1991)
Warren Buffett and Berkshire Hathaway. 1991 · 1991
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Stock price prediction using prior knowledge and neural networks
Kazuhiro Kohara, Tsutomu Ishikawa, Yoshimi Fukuhara, and Yukihiro Nakamura. 1997 · 1997
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Do measures of investor sentiment predict returns?
Robert Neal and Simon M Wheatley. 1998 · 1998
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An empirical analysis of data requirements for financial forecasting with neural networks
Steven Walczak. 2001 · 2001
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Smoothing, forecasting and prediction of discrete time series
Robert Goodell Brown. 2004 · 2004
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Exploiting topic based twitter sentiment for stock prediction
Jianfeng Si, Arjun Mukherjee, Bing Liu, Qing Li, Huayi Li, and Xiaotie Deng. 2013 · 2013
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Exploiting social relations and sentiment for stock prediction
Jianfeng Si, Arjun Mukherjee, Bing Liu, Sinno Jialin Pan, Qing Li, and Huayi Li. 2014 · 2014
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Topic modeling based sentiment analysis on social media for stock market prediction
Thien Hai Nguyen and Kiyoaki Shirai. 2015 · 2015
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Stock market volatility and learning
Klaus Adam, Albert Marcet, and Juan Pablo Nicolini. 2016 · 2016
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A dual-stage attention-based recurrent neural network for time series prediction
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, and Garrison Cottrell. 2017 · 2017
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Stock price prediction using lstm, rnn and cnn-sliding window model
Sreelekshmy Selvin, R Vinayakumar, EA Gopalakrishnan, Vijay Krishna Menon, and KP Soman. 2017 · 2017
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Enhancing stock movement prediction with adversarial training
Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, and Tat-Seng Chua. 2018 · 2018
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Stock price prediction using attention-based multi-input lstm
Hao Li, Yanyan Shen, and Yanmin Zhu. 2018 · 2018
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Hybrid deep sequential modeling for social text-driven stock prediction
Huizhe Wu, Wei Zhang, Weiwei Shen, and Jun Wang. 2018 · 2018
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Explainable text-driven neural network for stock prediction
Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, and Ruihai Dong. 2018 · 2018
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Chatgpt informed graph neural network for stock movement prediction
Zihan Chen, Lei Nico Zheng, Cheng Lu, Jialu Yuan, and Di Zhu. 2023 · 2023
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Data-centric financial large language models
Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, et al. 2023 · 2023
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Stockformer: learning hybrid trading machines with predictive coding
Siyu Gao, Yunbo Wang, and Xiaokang Yang. 2023 · 2023
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Cnnpred: Cnn-based stock market prediction using a diverse set of variables
Ehsan Hoseinzade and Saman Haratizadeh. 2019 · 2019
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An interpretable neuro-fuzzy approach to stock price forecasting
Sharifa Rajab and Vinod Sharma. 2019 · 2019
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A novel ensemble neuro-fuzzy model for financial time series forecasting
Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy Bodyanskiy, and Dmytro Peleshko. 2019 · 2019
Cited alongside, same era.
Deep attentive learning for stock movement prediction from social media text and company correlations
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, and Rajiv Shah. 2020a · 2020
Cited alongside, same era.
Spatiotemporal hypergraph convolution network for stock movement forecasting
Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, and Rajiv Ratn Shah. 2020b · 2020
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Truthfulqa: Measuring how models mimic human falsehoods
Stephanie Lin, Jacob Hilton, and Owain Evans. 2021 · 2021
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A cnn-bilstm-am method for stock price prediction
Wenjie Lu, Jiazheng Li, Jingyang Wang, and Lele Qin. 2021 · 2021
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Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew Gordon Wilson. 2023 · 2023
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Bitcoin tweets sentiment analysis
Stpete Ishii. Accessed: 2023 · 2023
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Halueval: A large-scale hallucination evaluation benchmark for large language models
Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, and Ji-Rong Wen. 2023 · 2023
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Can chatgpt forecast stock price movements? return predictability and large language models
Alejandro Lopez-Lira and Yuehua Tang. 2023 · 2023
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Causality-guided multi-memory interaction network for multivariate stock price movement prediction
Di Luo, Weiheng Liao, Shuqi Li, Xin Cheng, and Rui Yan. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Alpha-gpt: Human-ai interactive alpha mining for quantitative investment
Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M Ni, Heung-Yeung Shum, and Jian Guo. 2023 · 2023
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Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature
Patrick Weber, K Valerie Carl, and Oliver Hinz. 2023 · 2023
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Fingpt: Open-source financial large language models
Hongyang Yang, Xiao-Yang Liu, and Christina Dan Wang. 2023 · 2023
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