报告导读： 金融数据终端纷纷推出 AI 智能体工具，在 AI 领域进一步布局，以满足用户 需要，其具备优质底层数据和更好的场景理解能力，有望逐步形成生态以提高竞争力。 事件： Wind 、同花顺、东方财富等金融数据终端大厂官宣"养龙虾"入局 。 3 月 11 日，万得官方宣布 " 万得 WindClaw" 上线； 3 月 12 日同花顺官宣 了 "iFinD 金融 MCP" 的上线；同日，东方财富发布了 " 东方财富 Skills "。 金融数据终端大厂对智能体重视度提高，提升自身在市场的竞争优势。 未来能够更好被 AI 驱动的公司有望在市场获得领先地位。金融数据终端大厂争相 " 养虾 " ，既是顺应行业智能化趋势，也是巩固商业壁垒、延伸服务价值的必然举措。 金融数据终端推出产品设计思路有差异，有的从 " 数据 " 入手，有的从 " 技能 " 入手，还有的直接打造 " 专业版 OpenClaw" 。 各公司加强 AI 智能体建 设，通过自建智能体形成 AI Agent 或从逻辑与数据两个方面加强现有智能体功能。 1 ） Wind 走的是直接打造 " 专业版 OpenClaw" 的路线，推出了 "WindCla ...

Core Viewpoint - The competition among financial data terminal companies is intensifying as they launch their own AI-driven products, referred to as "OpenClaw," to enhance investment decision-making capabilities and adapt to the industry's trend towards automation and intelligence [1][10][11]. Group 1: Product Launches - Wind, Tonghuashun, and Dongfang Caifu have each announced their own versions of "OpenClaw" within two days, showcasing different approaches: Wind focuses on creating a "professional version," Tonghuashun emphasizes data integration, and Dongfang Caifu aims to enhance decision-making skills [5][6][9]. - Wind's "WindClaw" is currently in public testing and integrates professional financial data, allowing for local deployment and continuous learning of user investment habits [6]. - Tonghuashun's "iFinD金融MCP" serves as a professional financial data source, emphasizing seamless integration and natural language interaction for research personnel [6][7]. - Dongfang Caifu's "东方财富Skills" aims to equip OpenClaw with investment decision-making skills, enabling real-time market information retrieval and systematic analysis of thousands of assets [9]. Group 2: Industry Trends - The emergence of "OpenClaw" represents a shift in software competition, moving from data provision to the development of effective research and trading tools [10][11]. - The financial data terminal industry is transitioning from merely selling data to providing integrated tools that enhance the utility of that data, driven by evolving client demands for efficient data usage [12][13]. - The introduction of AI agents like OpenClaw is seen as a way to bridge the gap between data supply and practical application, enhancing service value and reinforcing competitive barriers [11][13]. Group 3: Regulatory Concerns - Despite the enthusiasm for "OpenClaw," some brokerage firms are imposing restrictions on its installation and use, citing security risks associated with its deployment on company devices and networks [2][15]. - Many brokerages have issued internal compliance notices, with some outright banning the use of OpenClaw, while others require approval for its use based on business needs [15][16]. - Concerns have been raised about potential security vulnerabilities that could lead to data leaks and operational disruptions, prompting a cautious approach from financial institutions [15][16].