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].