Workflow
1.75亿,券商App月活创年内新高,最新排名来了
3 6 Ke·2025-10-20 08:33

Core Insights - The active user count of stock trading apps serves as a crucial indicator of investor sentiment, with approximately 175 million active users in September 2025, reflecting a month-on-month increase of 0.74% and a year-on-year increase of 9.73%, marking a record high for the year [1][2]. Group 1: User Activity and Rankings - In September 2025, two brokerage apps surpassed 10 million monthly active users, while eleven apps exceeded 6 million, with the top three being Huatai Securities, Guotai Junan, and Ping An Securities [2][3]. - Huatai Securities' "Zhang Le Wealth" app led with 11.95 million active users, followed by Guotai Junan's app with 10.29 million, and Ping An Securities with 8.80 million [3]. - The overall growth momentum of brokerage app active users has slowed, with some apps experiencing slight month-on-month declines [1][2]. Group 2: Year-on-Year Growth - The app "Youlibao" from Industrial Securities saw a year-on-year increase of 35.95%, while several other apps, including Guojin Securities and Xihua Securities, reported over 20% growth [2][3]. - Only one app, Dongguan Securities' "Zhang Zheng Bao," experienced a year-on-year decline of 0.19% [2][3]. Group 3: AI Integration in Brokerage Apps - The rapid development of AI technology has led to an increasing demand for its application in the securities industry, with firms investing in financial technology to enhance their app services [4]. - Huatai Securities launched an independent AI application terminal "AI Zhang Le," integrating AI capabilities throughout key processes such as stock selection and trading [4]. - Guotai Junan introduced a new generation of fully AI-driven app "Lingxi," promoting deep integration of AI technology with diverse customer service scenarios [4]. Group 4: Future Directions for AI in Securities - Industry experts emphasize the need for brokerage firms to create differentiated services using AI, addressing challenges such as professional inadequacy and compliance risks associated with general AI models [4][5]. - The goal is to develop AI as a personalized "super AI service assistant" for users, enhancing the overall digital transformation of the securities industry [5].