Core Insights - The article discusses the emergence of the "intelligent agent swarm" era in artificial intelligence, particularly in the financial sector, driven by the launch of "AgentBull Financial Intelligent Agent" by Yuma Data [1] - It highlights the limitations of relying solely on large language models in finance, where precision, timeliness, and cost-effectiveness are critical [1] - The introduction of a "multi-agent interaction framework" by AgentBull aims to address common challenges faced by the industry [1] Industry Overview - The financial AI landscape is transitioning from "secretary-level" information aggregation to "expert-level" decision support, indicating a shift towards technological equity in financial research [1] - The framework proposed by AgentBull is designed to create a collaborative team of specialized agents rather than a single omniscient entity [1] - The interaction among numerous agents is expected to form an "agent economy," which will significantly reshape enterprise processes [1] Product Development - AgentBull breaks down complex investment research tasks into specialized functions such as data collection, industry chain logic, quantitative analysis, and risk warning, allowing for collaborative completion [1] - The product signifies a structural transformation in the financial sector, where the combination of "super individuals" and agents will lead to substantial changes [1]

中证报中证网讯（记者 王辉）近日，煜马（深圳）数据信息有限公司（简称"煜马数据"）正式发布其 自主研发的"AgentBull金融智能体"。 据了解，AgentBull推出的背景是人工智能在金融领域的应用正进入深水区。长期以来，依赖单一巨型 大语言模型的人工智能技术路径，在金融领域这一对精准度、时效性和成本效益要求极高的场景下，逐 渐暴露出难以调和的内在矛盾。针对这一行业共同面临的挑战，AgentBull提出了"多智能体交互框 架"的破局路径。 煜马数据表示，AI金融的终极价值，不仅在于提升少数顶尖机构的投研效率，更在于让每位投资者都 能拥有一个专业的AI投研团队，帮助他们从信息洪流中洞察先机。 煜马数据表示，AgentBull的相关框架并非试图打造一个无所不晓的"通才"，而是构建了一个由各领域 顶尖"专家"组成的协同作战团队。框架中枢的"总指挥"智能体，负责理解并拆解复杂的金融分析任务， 随后精准分派给负责多源异构信息实时抓取与清洗的数据感知智能体，以及负责梳理产业链关系与商业 逻辑的行业逻辑智能体、专注于财务建模与技术指标分析的量化分析智能体、持续监测市场情绪与潜在 风险事件的风险预警智能体。这些智能体并行 ...