公募落地智能体,“人机协同”助力投研能力抬升
Jing Ji Guan Cha Wang·2025-11-20 08:56

Core Insights - The rapid development of artificial intelligence (AI) in the financial sector is highlighted, with a notable achievement by Tianhong Fund, which won a first-class award for its "FinAgent Financial Intelligence System" based on large models [1] Group 1: AI Implementation in Fund Management - Tianhong Fund has developed a progressive path from version 1.0 to 3.0 in applying large models, focusing on lightweight and service-oriented frameworks that integrate deeply into business systems [2] - The FinAgent service framework has successfully implemented over 20 financial intelligence agents, generating tangible value across various business areas, including investment research [2] - The fund manager's viewpoint intelligence agent can extract insights from quarterly reports, achieving a 70% probability of outperforming equity funds over nearly a decade, with an annualized excess return of nearly 3% [2] Group 2: Enhanced Research Capabilities - The deep report intelligence agent covers all A-shares and has produced over 50 individual stock deep reports, praised for their logical structure and data coverage, significantly reducing report preparation time from 3-5 days to hours [3] - The TIRD system assists fund managers and researchers in decision-making by providing real-time attribution, helping identify potential investment opportunities [4] Group 3: Human-AI Collaboration - The collaboration between AI and human judgment enhances research capabilities, allowing fund managers to discover market opportunities that may be overlooked by human intuition [5] - The ultimate competition in investment research is shifting from speed to certainty, with new technologies like large models aimed at providing quantifiable and traceable methods to navigate market uncertainties [5]