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...
import akshare as ak import datetime # 获取中远海控2024年的日线股票数据 # 中远海控的股票代码是 "601919.SH" # 使用stock_zh_a_daily函数获取数据 # 获取今天的日期 today = datetime.date.today() # 将日期转换成yyyyMMdd格式 end_date = today.strftime("%Y%m%d") # 使用stock_zh_a_daily函数获取...
- 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 # 2. 摘要 预测金融市场和股票价格变动需分析公司表现、历史价格、行业事件及人类因素(如社交媒体和新闻报道)。本文结合财务数据(如财务报表)和文本新闻,...
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...
Wu H, Zhang W, Shen W, Wang J (2018) Hybrid deep sequential modeling for social text-driven stock prediction. In: Proceedings of the 27th ACM international conference on information and knowledge management, pp 1627–1630 Wu S, Irsoy O, Lu S, Dabravolski V, Dredze M, Gehrmann S, Ka...
Despite significant progress in deep learning for financial trading, existing models often face instability and high uncertainty, hindering their practical application. Leveraging advancements in Large Language Models (LLMs) and multi-agent architectures, we propose a novel framework for quantitative stock ...
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 ...
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 ...
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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(影响因素)这一概念的背景动机。现有的基于新闻/社交媒体等文本数据进行股价趋势预测的可解释性方法...