MarketSenseAI 2.0: Enhancing Stock Analysis through LLM Agents
George Fatouros, Kostas Metaxas, John Soldatos, Manos Karathanassis
MarketSenseAI是一种新的整体股票分析框架,利用大型语言模型(LLM)来处理金融新闻,历史价格,公司基本面和宏观经济环境,以支持股票分析和选择的决策。 在本文中,我们介绍了MarketSenseAI的最新进展,这是由LLM的快速技术扩张推动的。 通过结合检索增强的一代和LLM代理的新架构,该框架处理SEC的申报和收益调用,同时通过系统处理不同的机构报告来丰富宏观经济分析。 我们展示了基本分析精度比上一个版本显著提高。 标普100只股票两年(2023-2024年)的实证评估显示,MarketSenseAI实现125.9的累计回报
MarketSenseAI is a novel framework for holistic stock analysis which leverages Large Language Models (LLMs) to process financial news, historical prices, company fundamentals and the macroeconomic environment to support decision making in stock analysis and selection. In this paper, we present the latest advancements on MarketSenseAI, driven by rapid technological expansion in LLMs. Through a novel architecture combining Retrieval-Augmented Generation and LLM agents, the framework processes SEC ...