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京东财富最新披露:2025年超八成权益基金用户实现盈利
Xin Lang Cai Jing· 2026-01-08 09:53
Core Insights - In 2025, over 80% of equity fund users of JD Wealth achieved profitability, indicating strong performance in a challenging market environment [1][3] - JD Wealth aims to enhance its core capabilities in "products, services, and pricing" through systematic upgrades and the integration of AI technology [1][3] - The company reported significant growth in various asset management categories, with equity holdings increasing by 82%, index fund holdings by 105%, stable income+ holdings by 206%, and personal pension holdings by 241% year-on-year [1][3] User Performance - Despite a structural market in A-shares in 2025, 58.6% of retail investors did not achieve profits, contrasting with JD Wealth's 84% profitability rate among equity fund users and an average return of 15% for personal pension users [1][3] TAMP Model Development - JD Wealth is actively exploring the TAMP (Total Asset Management Platform) model, with 210,000 new clients added in 2025, a 52% repurchase rate, an average holding period of 235 days, and nearly 88% of clients holding profitable positions [1][3] Future Initiatives - The company plans to upgrade TAMP core capabilities through KYC (Know Your Customer) and behavioral analysis for precise targeting, KYP (Know Your Product) for asset selection, and dynamic asset allocation in account management [2][4] - JD Wealth has introduced the AI Wealth Manager "Jing Xiaobei" to partner financial advisors, transitioning from standard to personalized services, integrating features like position optimization and market analysis [2][4]
京东金融:智能投顾推动财富管理迈入智能协同新阶段
Core Insights - Traditional smart investment advisory services often face issues such as generalized strategies, mechanical feedback, and a lack of continuous learning [1] Group 1 - JD Finance launched an upgraded AI wealth management tool named "Jing Xiao Bei" at the 2025 JD Global Technology Explorer Conference [1] - "Jing Xiao Bei" utilizes JD's large model, financial vertical large model, and user memory system to achieve precise insights into user needs [1] - The tool features human-like interaction and boasts an information retrieval accuracy exceeding 90%, marking a shift in wealth management services from function-oriented to intelligent collaboration [1]