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Large language models (LLMs) fine-tuned on multimodal financial data have demonstrated impressive reasoning capabilities in various financial tasks.
Finbert: Financial sentiment analysis with pre-trained language models
Dogu Araci. 2019 · 1908
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An algorithm for trading and portfolio management using q-learning and sharpe ratio maximization
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Adaptive stock trading with dynamic asset allocation using reinforcement learning
O Jangmin, Jongwoo Lee, Jae Won Lee, and Byoung-Tak Zhang. 2006 · 2006
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Finbert: A pretrained language model for financial communications
Yi Yang, Mark Christopher Siy Uy, and Allen Huang. 2020 · 2006
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Risk Management and Financial Institutions
John Hull. 2007 · 2007
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Text mining for market prediction: A systematic review
Arman Khadjeh Nassirtoussi, Saeed Aghabozorgi, Teh Ying Wah, and David Chek Ling Ngo. 2014 · 2014
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Adversarial deep reinforcement learning in portfolio management
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Improving financial trading decisions using deep q-learning: Predicting the number of shares, action strategies, and transfer learning
Gyeeun Jeong and Ha Young Kim. 2019 · 2019
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A multi-scale temporal feature aggregation convolutional neural network for portfolio management
Si Shi, Jianjun Li, Guohui Li, and Peng Pan. 2019 · 2019
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Deep reinforcement learning for trading
Zihao Zhang, Stefan Zohren, and Stephen J. Roberts. 2019 · 2019
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A tabular sarsa-based stock market agent
Renato Arantes de Oliveira, Heitor S Ramos, Daniel Hasan Dalip, and Adriano César Machado Pereira. 2020 · 2020
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Reinforcement-learning based portfolio management with augmented asset movement prediction states
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, and Bo Li. 2020 · 2020
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Decision transformer: Reinforcement learning via sequence modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, and Igor Mordatch. 2021 · 2021
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Trading with the momentum transformer: An intelligent and interpretable architecture
Kieran Wood, Sven Giegerich, Stephen Roberts, and Stefan Zohren. 2021 · 2021
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Finrl-meta: Market environments and benchmarks for data-driven financial reinforcement learning
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Wang, Zhaoran Wang, and Jian Guo. 2022 · 2022
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When flue meets flang: Benchmarks and large pre-trained language model for financial domain
Reinforcement learning for quantitative trading
Shuo Sun, Rundong Wang, and Bo An. 2023 · 2023
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Large language models as generalizable policies for embodied tasks
Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R Devon Hjelm, and Alexander T Toshev. 2023 · 2023
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Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann. 2023 · 2023
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Pixiu: A large language model, instruction data and evaluation benchmark for finance
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, and Jimin Huang. 2023 · 2023
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Finbert–mrc: financial named entity recognition using bert under the machine reading comprehension paradigm
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Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, and Diyi Yang. 2022 · 2022
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What do llms know about financial markets? a case study on reddit market sentiment analysis
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, and Michael Bendersky. 2023 · 2023
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Recent advances in reinforcement learning in finance
Ben Hambly, Renyuan Xu, and Huining Yang. 2023 · 2023
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Finbert: A large language model for extracting information from financial text
Allen H Huang, Hui Wang, and Yi Yang. 2023 · 2023
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Time-llm: Time series forecasting by reprogramming large language models
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and 1 others. 2023 · 2023
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Yang Li, Yangyang Yu, Haohang Li, Zhi Chen, and Khaldoun Khashanah. 2023 · 2023
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Fingpt: Democratizing internet-scale data for financial large language models
Xiao-Yang Liu, Guoxuan Wang, and Daochen Zha. 2023 · 2023
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Investorbench: A benchmark for financial decision-making tasks with llm-based agent
Haohang Li, Yupeng Cao, Yangyang Yu, Shashidhar Reddy Javaji, Zhiyang Deng, Yueru He, Yuechen Jiang, Zining Zhu, Koduvayur Subbalakshmi, Guojun Xiong, and 1 others. 2024a
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Yuzhe Zhang and Hong Zhang. 2023 · 2023
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A novel deep reinforcement learning framework with bilstm-attention networks for algorithmic trading
Yuling Huang, Xiaoxiao Wan, Lin Zhang, and Xiaoping Lu. 2024 · 2024
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Cryptotrade: A reflective llm-based agent to guide zero-shot cryptocurrency trading
Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, and Bingsheng He. 2024b · 2024
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Finrobot: An open-source ai agent platform for financial applications using large language models
Hongyang Yang, Boyu Zhang, Neng Wang, Cheng Guo, Xiaoli Zhang, Likun Lin, Junlin Wang, Tianyu Zhou, Mao Guan, Runjia Zhang, and 1 others. 2024 · 2024
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Fine-tuning large vision-language models as decision-making agents via reinforcement learning
Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, and 1 others. 2024 · 2024
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Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, and 1 others. 2024 · 2024
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Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan Suchow, Zhenyu Cui, Rong Liu, and 1 others. 2025 · 2025
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