# 使用 stock_zh_a_daily 函数获取中远海控2024年日线股票数据 cosco_daily_data_2024 = ak.stock_zh_a_daily(symbol="601919.SH", start_date="20240101", end_date=end_date) # 打印返回的数据 print(cosco_daily_data_2024) 在这段代码中,我们通过ak.stock_zh_a_daily函数获取了从 2024 年 1 月 ...
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...
而情感分析方法在不同模型间表现不一,其中一些基于LLM的模型(如GPT-4和GPT-4-turbo)在文本情感分析方面表现较好。结合文本和时间序列的模型(如CMIN, StockNet)整体性方面表现良好,但可能缺乏对文本细节的深入分析。 实验中使用了三种不同的LLM模型变体(LLMFactorGPT-4-turbo, LLMFactorGPT-4, LLMFactorGPT-3.5-t...
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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...
For example, a healthcare provider might use an LLM to triage patients calling into a hotline, while an investment company might use one to sift through and summarize earnings reports, news stories, and social media posts to spot stock trends. LLMs can help organizations manage and analyze ...
3.(金融)The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges ChatGPT在多模态股票走势预测挑战中的零射击分析 简述:本文对ChatGPT在多模态股票运动预测中的能力和局限性进行了广泛的零射击分析,结果表明ChatGPT在预测股票运动方面表现不佳,不仅落后于最先...
For example, a healthcare provider might use an LLM to triage patients calling into a hotline, while an investment company might use one to sift through and summarize earnings reports, news stories, and social media posts to spot stock trends. LLMs can help organizations manage and analyze ...
论文题目:Ploutos: Towards interpretable stock movement prediction with financial large language model 论文地址:arxiv.org/abs/2403.0078 2.1 摘要 提出了一个金融LLM框架Ploutos,包含PloutosGen和PloutosGPT两部分。PloutosGen由三位专家构成(情感分析专家捕捉新闻文本中的情感信息、技术分析专家利用数学公式提取价格序列...
股票价格预测(Stock Movement Prediction, SMP) 文本摘要(Text Summarization, Summ) 讨论 高级金融NLP任务和数据集 机遇和挑战 资源地址 原文地址 简介 近年来,大型语言模型(LLMs)的研究在学术界和工业界迅速发展,尤其是对ChatGPT等LLM应用的关注度较高。LLMs借鉴了预训练语言模型的思想,通过迁移学习和基于Transformer...