利用大型语言模型(LLM)整合金融数据与新闻报道来预测股票价格 “Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language Models” 论文地址:https://arxiv.org/pdf/2411.01368 摘要 为了预测金融市场和股票价格的变动,需要综合考量公司的经营状况、历史股价走势、行业动态以及...
接下来介绍两篇利用LLMs融合文本和时序特征,并且提供可解释的股价趋势预测的工作。 1. LLMFactor 论文题目:LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction 论文来源:ACL 2024论文地址:arxiv.org/abs/2406.1081 1.1 摘要 factor概念提出的背景 首先介绍了作者提出Factor...
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction 论文链接: https://arxiv.org/pdf/2406.10811.pdf 金融市场分析 近年来,大模型(LLM)在处理文本数据,尤其是对文本数据的分析和理解方面取得了巨大成功,但金融市场的预测依赖于对时间序列数据的复杂分析,这要求模型不仅...
输出应严格采用以下JSON格式： [ { "stock": "股票名称", "justification": "筛选...
Long short-term memory (LSTM) models are powerful tools primarily used for processing sequential data, such as time series, weather forecasts, or stock prices. When it comes to LSTM models, a common query associated with it is: How Do I Make an LSTM Model with Multiple Inputs? Before we...
Predict stock prices: Specializes in accurate stock price prediction, leveraging data like stock values and time for analysis. Solvr - Your ultimate math assistant: A comprehensive math and data visualization assistant, capable of solving complex mathematical problems and rendering data visually. Probabil...
随着技术的不断进步，LLM 在金融领域的应用正迅速拓展至更多细分领域。从智能客服到高级市场分析，从风险...
While LLMs are great at prediction, for now anyway, they’re less good at explaining how they came to a given conclusion. And many LLMs are trained with books, newspaper articles, and even Wikipedia pages, leading to concerns about copyright infringement. When not rigorously managed, LLMs ...
(2023). The wall street neophyte: A zero-shot analysis of chatgpt over multimodal stock movement prediction challenges. arXiv preprint arXiv:2304.05351. Arxiv Virtual Individual market behavior Faria-e-Castro, M., & Leibovici, F. (2024). Artificial Intelligence and Inflation Forecasts (No. ...
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction 生物医疗 GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Informat...