业绩与规模双升 私募排排网最新数据显示，截至2025年11月底，全市场股票量化多头产品年内平均超额收益率达 17.25%，超九成产品实现正超额收益。百亿级私募蒙玺投资表示："2025年A股市场的成交量及流动性 相对去年大幅提升，为量化策略获取超额收益提供了丰富的基础土壤。" ● 本报记者 王辉 在活跃的成交量、鲜明的结构性行情以及科技成长主线加持下，2025年量化私募行业在多个维度迎来全 面回暖。人工智能（AI）技术的深度赋能，重塑了行业的研发与竞争格局。量化私募业内普遍预期， 2026年量化行业依然是"机遇与挑战并存"。 如果说市场贝塔是量化策略表现的外在条件，那么AI技术的深度融合则是驱动行业内在进化的核心引 擎。纵观各家私募量化机构观点，AI在量化投资中的应用，已从探索性的"可选项"，转变为关乎竞争力 的"必选项"。 蒙玺投资表示，AI"正从可选项变为必选项"。现阶段其应用已广泛渗透至数据清洗、因子挖掘、交易执 行优化等关键环节，极大提升了策略研究的效率与精细度。另一家百亿级私募世纪前沿自2020年就开始 系统布局AI，如今将AI视为"超级助手"。借助大语言模型，团队能够快速处理新闻、财报等海量文本信 ...

Core Viewpoint - In the past six months, private quantitative products have attracted significant investment due to the continued dominance of small-cap growth styles and breakthroughs in AI investment technology [1] Summary by Sections Performance of Quantitative Products - As of the end of May this year, there are 1,640 quantitative products with reported performance, with an average return of 6.95% and a median return of 6.5% over the past six months [1] - Among the core strategies, stock strategy products lead with 914 products, achieving an average return of 8.38% and a median return of 8.18% [1] Company Performance - A total of 179 private companies have at least three quantitative products that meet ranking criteria, with average returns of 7.16% and 7% for the past six months and this year, respectively [3] Top Performing Private Equity Firms - The article categorizes private equity firms based on six asset size groups, highlighting the top 10 performing firms in terms of average returns for each group [5] 100 Billion and Above - In the 100 billion and above category, 28 firms have an average return of ***%, with the top five being Evolutionary Asset, Ningbo Huansheng Quantitative, Xinhong Tianhe, Longqi Technology, and Abama Investment [6][7] 50-100 Billion - In the 50-100 billion category, 18 firms have an average return of ***%, with the top five being Shenzhen Liangdao Investment, Loshu Investment, Qianyan Private Equity, Square and Investment, and Tianxuan Quantitative [11][13] 20-50 Billion - In the 20-50 billion category, 27 firms have an average return of ***%, with the top five being Yunqi Quantitative, Hainan Shengfeng Private Equity, Luxiu Investment, Shengguanda, and Guangzhou Shouzheng Youqi [15][16] 10-20 Billion - In the 10-20 billion category, 26 firms have an average return of ***%, with the top five being Boyi Asset, Anzi Fund, Fox Investment, Leiang Asset, and Oak Asset [19][20] 5-10 Billion - In the 5-10 billion category, 37 firms have an average return of ***%, with the top five being Guangyi Wanda Private Equity, Shanghai Yuanlai Private Equity, Zhongmin Huijin, Wuliang Capital, and Yihe Investment [23][24] 0-5 Billion - In the 0-5 billion category, 43 firms have an average return of ***%, with the top five being Xizong (Shanghai) Private Equity, Tanglong Asset, Guangzhou Tianzhanhan, Tianzhihui Investment, and Huacheng Private Equity [28]

Core Viewpoint - The private quantitative investment industry is gaining attention with the rise of DeepSeek, as Shenzhen aims to transform into a global hub for quantitative innovation by enhancing its computing power infrastructure [1][2]. Group 1: Meeting Overview - A seminar was organized by the Shenzhen Private Fund Association, attended by 16 leading quantitative institutions, focusing on the challenges and opportunities in the AI era, computing power applications, and suggestions for building a computing power center in Shenzhen [1][2][4]. - The meeting highlighted the need for collaboration among quantitative firms to create a supportive ecosystem for development [2]. Group 2: Key Discussion Points - The seminar focused on three main areas: understanding the current state of quantitative institutions in Shenzhen, discussing the challenges and opportunities in the AI era, and providing feedback on the planning of the computing power center [4]. - The local government introduced plans for a computing power center aimed at optimizing resource allocation and reducing R&D costs for quantitative firms [5]. Group 3: Industry Pain Points - The quantitative industry faces three major pain points: increasing competition for talent, high costs and barriers in acquiring non-standard data, and the need for more flexible regulatory frameworks [8][9][10]. - There is a pressing demand for composite talents skilled in finance, AI, and mathematics, but competition from other regions remains a challenge [8]. Group 4: Institutional Feedback - Leading quantitative firms provided insights during the meeting, emphasizing the importance of AI in factor extraction, the need for industry standards, and the integration of macro and quantitative strategies [12]. - Suggestions included establishing a shared computing power platform and enhancing market trust through strategy transparency [12]. Group 5: Future Plans - Shenzhen plans to introduce policies to support the quantitative industry, including talent recruitment subsidies and computing power procurement assistance [10]. - The city aims to significantly enhance its intelligent computing power by 2026, with a target of over 80E FLOPS of real-time usable intelligent computing power [13].