投研人如何养“虾”？

Group 1: OpenClaw Overview - OpenClaw is a leading open-source project on GitHub, representing a significant direction for future AI applications, but it is still in the early exploration phase[4] - The primary applications of OpenClaw for investment research include customized monitoring, data scraping, SQL writing, and tracking announcements and reports[4] - The report outlines a comprehensive "investment research digital employee" system without intruding on internal data[4] Group 2: Skill System Structure - The skill system consists of four layers: data layer, monitoring layer, analysis layer, and output layer, integrating various financial databases and tools[5] - The data layer connects to major financial databases like Wind and GoGoal, while the monitoring layer includes seven specialized modules for tracking market variables[5] - The output layer utilizes cn-report-builder to automatically generate structured research reports, coordinating tasks across layers[5] Group 3: Risk Considerations - Risks associated with OpenClaw include security risks, technical maturity risks, model hallucination, and data source compliance risks[6] - Information timeliness and monitoring omissions are potential risks due to delays in data disclosure and interface issues[6] - Cost and system stability risks may arise from reliance on underlying models and APIs, leading to potential service interruptions[6]