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 ...

本文首发于公众号"私募排排网"。 （点击↑↑ 上图查看详情 ） 今年以来，量化投资在多重机遇的交织下热度持续攀升。一方面，以DeepSeek为代表的人工智能前沿技术取得突破，为量化模型的迭代与策略 的创新注入了强劲动力；另一方面，A股市场震荡上行、结构性行情凸显，小微盘风格整体占优，为量化多头策略提供了施展空间。 根据私募排排网数据，截至2025年11月底， 符合排名规则且有业绩展示的量化多头产品有 715只，产品规模合计约为609.92亿元，近1年平均收 益达39.07%，领跑其他二级策略 。 | 排序 | 私募二级策略 | 符合排名规则的产品数 | 近1年收益均值 | 产品规模合计(亿元) | | --- | --- | --- | --- | --- | | 1 | 를化务杀 | 715 | 39.07% | 609.92 | | 2 | 主观多杀 | 2021 | 35.20% | 1817.49 | | 3 | 其他衍生品策略 | 15 | 29.36% | 17.98 | | 4 | 宏观策略 | 187 | 27.06% | 207.92 | | 5 | 复合策略 | 367 | 26.48% ...

本文首发于公众号"私募排排网"。 （点击↑↑ 上图查看详情 ） 今年以来，A股、港股、美股等股票市场均因关税问题出现了较大的波动，但在流动性宽松和AI技术不断取得突破的助力下， 主要股指在今年 1-11月均录得不同程度的上涨 。A股主要指数中，创业板指以超42%的涨幅领涨。港股的恒生指数、恒生科技指数涨幅均超25%。美股三大指数 中纳斯达克相对领涨，涨幅约为21%。 | 证券市场 | 指数名称 | 今年1-11月 涨跌幅 | 今年1-11月 最大涨幅 | 今年1-11月 最大回撤 | | --- | --- | --- | --- | --- | | | 上证指数 | 16.02% | 30.13% | -9.71% | | | 深证成指 | 24.67% | 46.57% | -14.98% | | | 创业板指 | 42.54% | 83.95% | -20.79% | | A股 | 沪深300 | 15.04% | 32.27% | -10.49% | | | 中证500 | 22.81% | 42.78% | -13.80% | | | 中证1000 | 23.10% | 39.15% | -16.8 ...

Core Viewpoint - The article emphasizes the importance of controlling drawdowns in investment, especially in the context of recent market fluctuations, highlighting that achieving low drawdowns alongside high returns is a challenging goal for investors [2]. A-share Market Performance - As of October 2025, the A-share market has experienced varying levels of drawdown, with the Shanghai Composite Index showing the smallest drawdown of nearly 10%, while the ChiNext Index faced a maximum drawdown of approximately 21% [2]. - The performance of major A-share indices from January to October 2025 is as follows: - Shanghai Composite Index: +17.99% with a maximum drawdown of 9.71% - Shenzhen Component Index: +28.46% with a maximum drawdown of 14.98% - ChiNext Index: +48.84% with a maximum drawdown of 20.79% [3]. Private Fund Performance - In the "quantitative long" category, 27 products ranked in the top 30% for both returns and drawdown control, with a total of 825 products analyzed [4]. - The top five performing products in the quantitative long category for the year are from Jiuming Investment, Shengguanda, Evolutionary Asset, Beijing Guanghua Private Equity, and Qianhai Xuhui Asset [4]. - In the "subjective long" category, 29 products ranked in the top 20% for returns and drawdown control, out of 2156 products analyzed [9]. - The top five performing products in the subjective long category are from Junzhou Private Equity, Liangli Private Equity, Shanghai Ruixin Investment, Meigang Capital, and Fengyu Investment [9]. CTA Strategy Performance - In the CTA (Commodity Trading Advisor) category, 22 products ranked in the top 30% for returns and drawdown control, from a total of 557 products analyzed [13]. - The top five performing products in the CTA category are from Hangjingxinghe Asset, Yidao Asset, Zhixin Rongke, Fubeng Investment, and Alpha Private Equity [13]. Multi-Asset Strategy Performance - In the multi-asset strategy category, 29 products ranked in the top 20% for returns and drawdown control, from a total of 710 products analyzed [16]. - The top five performing products in the multi-asset category are from Guoyuan Xinda, Yiqiao Asset, Xiamen Zhendao Private Equity, Shanghai Congrong Investment, and Qianming Asset [16].

Core Insights - The A-share market is experiencing high volatility with a decline in the performance of technology growth stocks, leading to reduced profitability for individual stocks [1][2] - Quantitative long strategies are facing significant challenges, with performance divergence among leading institutions due to factor decay, rising costs, and stricter regulations [2][4] - The industry is evolving towards platformization, AI integration, and multi-strategy approaches to adapt to the increasingly complex market environment [1][7] Performance Challenges - The market has entered a phase of index volatility and stock differentiation, putting pressure on quantitative long strategies [2] - In October, quantitative long products achieved an average return of approximately 0.93% and an excess return of 1.5%, outperforming subjective long strategies [2] - Since the fourth quarter, there has been a noticeable divergence in excess returns among leading and mid-tier quantitative institutions [2][6] Strategy Adjustments - Some quantitative firms are shifting towards defensive strategies, focusing on risk management and reducing exposure to short-term market trends [3] - The challenges faced include declining factor effectiveness, rising trading costs, and the need for compliance with regulatory requirements [4] - Institutions are adopting multi-dimensional iterations to address these challenges, including improving algorithms and incorporating alternative data [4][5] Competitive Landscape - The quantitative industry is experiencing significant growth, with a nearly 90% increase in the number of private equity securities products registered this year, and quantitative products accounting for 44.30% of this growth [7] - The competition is shifting from single-point algorithm breakthroughs to comprehensive system engineering [7][8] - The application of AI and machine learning is becoming a standard practice in the industry, enhancing factor discovery and risk management [7][8] Future Outlook - The trend towards multi-strategy and multi-asset approaches is expected to continue, with a focus on improving capital efficiency and stabilizing net asset values [8] - There is an increasing concentration of resources towards leading institutions that demonstrate stable performance and robust product lines [8] - The industry consensus suggests that the framework and style of quantitative long strategies are now largely established, with future efforts focused on fine-tuning existing systems rather than radical changes [8]

Core Viewpoint - The A-share market has shown a strong upward trend in 2023, with significant internal style differentiation, particularly between small and large-cap stocks, leading to varying performances among quantitative long strategies [2][3]. Group 1: Market Performance - As of the end of October 2023, the Shanghai Composite Index, Shenzhen Component Index, and ChiNext Index have increased by approximately 17.99%, 28.46%, and 48.84% respectively [2]. - In the first half of the year, small-cap stocks outperformed large-cap stocks, but a style switch occurred in late August, with the CSI 300 Index outperforming small-cap stocks in August and September [2]. Group 2: Quantitative Long Strategy Performance - Quantitative long strategy products faced negative excess returns in the months of August and September, marking the worst monthly performance of the year [2]. - However, since October, the excess returns of quantitative long strategies have begun to recover as institutional investors loosened their collective positions [2]. Group 3: Top Performing Private Equity Firms - For firms with over 10 billion in assets, the top three in terms of average excess returns for quantitative long products are Ming Shi Fund, Ping Fang He Investment, and Meng Xi Investment [3][4]. - Ming Shi Fund leads with four qualifying quantitative long products and a total product scale of approximately 5.62 billion, achieving an average excess return of ***% [4]. - Ping Fang He Investment and Meng Xi Investment follow, with their best-performing products achieving excess returns of ***% [5]. Group 4: Mid-Sized Private Equity Firms - In the 50-100 billion category, Bei Yang Quantitative topped the list with five qualifying products and an average excess return of ***% [7][8]. - The firm is noted for its AI-driven quantitative investment approach, led by a team with significant academic credentials [8][9]. Group 5: Smaller Private Equity Firms - In the 20-50 billion category, Han Rong Investment and Lu Xiu Investment ranked first and second, respectively, with average excess returns of ***% [10][11]. - Han Rong Investment focuses on short-cycle price-volume predictions, while Lu Xiu Investment employs a strategy of diversified holdings to achieve stable excess returns [11][12]. Group 6: Smallest Private Equity Firms - In the 0-20 billion category, Shanghai Zi Jie Private Equity ranked fourth, with three qualifying products and an average excess return of ***% [13][15]. - The firm primarily focuses on small-cap strategies, particularly targeting stocks that have experienced significant declines [15].

Core Insights - The A-share market has entered a volatile rotation phase since October, with significant recovery in the returns of quantitative products [2] - Among the 825 quantitative long products with performance data, the average return for the year is 41.02%, with an excess return of 14.36% [3] Summary by Category Performance of Strategies - Quantitative long products have the highest average return in October among all stock strategy products, reaching 0.93% with an average excess return of 1.5% [2] - The performance of various strategies is as follows: - Quantitative long: 825 products, average return 41.02%, monthly return 0.93% [3] - Subjective long: 2156 products, average return 36.11%, monthly return -1.35% [3] - Macro strategy: 201 products, average return 27.17%, monthly return 0.96% [3] - Composite strategy: 409 products, average return 25.66%, monthly return 1.11% [3] - Other derivative strategies: 15 products, average return 25.63%, monthly return 4.45% [3] Top Performing Products - In the quantitative long category, the top products by excess return include: - CSI 1000 index enhancement: 158 products, average return 45.51%, excess return 15.48% [4] - Quantitative stock selection: 329 products, average return 39.25%, excess return 15.56% [4] - CSI 500 index enhancement: 201 products, average return 42.07%, excess return 10.96% [4] - CSI 300 index enhancement: 38 products, average return 25.62%, excess return 6.52% [4] - Other index enhancements: average return 43.55%, excess return 18.52% [4] Notable Fund Managers - The top products in the CSI 1000 index enhancement category are managed by notable fund managers from large private equity firms, with the highest returns coming from companies like Jintong Investment and Luxiu Investment [5][9] - In the quantitative stock selection category, the top products are managed by firms such as Longqi Technology and Jiuming Investment [10][12] - The CSI 500 index enhancement products are led by managers from Guobiao Asset and Zhaoxin Private Fund [13][16] - The CSI 300 index enhancement products are managed by firms like Hainan Pengpai Private Fund and Ningbo Huansquare Quantitative [17][20] - Other index enhancement products are managed by firms such as Liangchuang Investment and Yangshi Asset [21][23]

Core Viewpoint - The A-share market experienced a broad rally last week, with the Shanghai Composite Index reaching the critical level of 3700, while index-enhanced strategy products significantly underperformed the benchmark indices [2] Group 1: Market Performance - The excess returns of various index-enhanced products were negative, with the Shanghai 300 Index Enhanced, CSI 500 Index Enhanced, and CSI 1000 Index Enhanced showing excess returns of -0.49%, -1.09%, and -1.26% respectively [2] - The performance of individual stocks was relatively weak, with less than 50% of stocks in the quant management pool outperforming the benchmark indices during the week [2][3] - The proportion of stocks outperforming the Shanghai 300 Index was below 40% for most of the week, indicating increased difficulty in achieving excess returns [2] Group 2: Strategy and Market Dynamics - The difficulty in obtaining alpha returns is attributed to rapid convergence of basis, where the short positions in futures are weaker than long positions, leading to a decline in neutral strategy products [3] - Market sentiment was high, but the rapid rotation of sector styles made it challenging for stock selection strategies to generate excess returns [2][3] - Quant managers believe that the recent alpha pullback is within a normal range and is not indicative of issues with stock selection strategies [7] Group 3: Future Expectations - Historical data suggests that after periods of alpha decline, there is a high probability of recovery in subsequent market conditions, even if indices experience profit-taking [7][10] - Investors are encouraged to remain optimistic about the potential for recovery in quant management products despite current challenges [7]

Core Viewpoint - The stock markets, including A-shares, Hong Kong stocks, and US stocks, experienced significant fluctuations due to tariff issues but ultimately recorded varying degrees of increases in the first seven months of the year, with the CSI 2000 leading A-shares with over 20% growth [2] Market Performance Summary - A-shares: - Shanghai Composite Index increased by 6.61%, with a maximum increase of 16.76% and a maximum drawdown of -9.71% [3] - Shenzhen Component Index rose by 5.71%, with a maximum increase of 20.56% and a maximum drawdown of -14.98% [3] - ChiNext Index grew by 8.72%, with a maximum increase of 33.17% and a maximum drawdown of -20.79% [3] - CSI 300 increased by 3.58%, with a maximum increase of 15.67% and a maximum drawdown of -10.49% [3] - CSI 500 rose by 8.74%, with a maximum increase of 20.22% and a maximum drawdown of -13.80% [3] - CSI 1000 increased by 11.81%, with a maximum increase of 23.24% and a maximum drawdown of -16.87% [3] - CSI 2000 led with a 20.44% increase, a maximum increase of 31.56%, and a maximum drawdown of -19.65% [3] - Hong Kong stocks: - Hang Seng Index increased by 23.50%, with a maximum increase of 35.99% and a maximum drawdown of -19.95% [3] - Hang Seng Tech Index rose by 22.05%, with a maximum increase of 44.61% and a maximum drawdown of -27.91% [3] - US stocks: - Dow Jones Industrial Average increased by 3.73%, with a maximum increase of 19.56% and a maximum drawdown of -16.12% [3] - S&P 500 rose by 7.78%, with a maximum increase of 28.24% and a maximum drawdown of -18.90% [3] - Nasdaq increased by 9.38%, with a maximum increase of 38.71% and a maximum drawdown of -23.87% [3] Private Equity Performance Summary - The overall performance of private equity products under billion-yuan private equity firms was impressive in the first seven months of the year, with an average return of approximately 16.80% [2][3] - Among the 557 billion-yuan private equity products, stock strategy products accounted for over 82%, with an average return of about 18.63%, significantly outperforming the three major A-share indices [4] - Quantitative long strategy products within stock strategies achieved an average return of over 26% [4] Top Performing Products - The top 10 quantitative long products were dominated by quantitative stock selection products, with 8 out of 10 being from this category [8] - Notable top-performing products included those from Longqi Technology, Stable Investment, and Abama Investment [8][12][15] Multi-Asset and Other Strategies - Multi-asset strategy products totaled 54, with an average return of approximately 11% [4] - The top 10 multi-asset products included those from Duration Investment, Black Wing Asset, and others [20][23]

Core Viewpoint - The A-share market has shown a continuous upward trend since the "9.24 market" last year, with significant gains in various indices, particularly in small and micro-cap stocks, driven by advancements in artificial intelligence and quantitative technology [2][4]. Performance Summary Overall Market Performance - As of July 2025, the Shanghai Composite Index increased by 24.10%, the Shenzhen Component Index by 30.01%, and the ChiNext Index by 42.76%. The CSI 2000 Index and the micro-cap index outperformed with gains of 59.21% and 129.62%, respectively [2]. Quantitative Long Strategies - A total of 651 quantitative long products were reported, with a combined scale of approximately 51.53 billion yuan, achieving an average return of 60.25% over the past year, significantly outperforming subjective long strategies [2][4]. Performance by Fund Size 100 Billion and Above - The top three quantitative long funds in the 100 billion and above category are Ming Shi, Hei Yi, and Wen Bo, with average returns of ***%, ***%, and ***% respectively [5][6]. 20-100 Billion - The leading fund in the 20-100 billion category is Sheng Guanda, followed by Yunqi Quantitative and Guangzhou Shouzheng Yongqi, with average returns of ***%, ***%, and ***% respectively [10][11]. 5-20 Billion - Shanghai Zhi Jie Private Fund tops the 5-20 billion category, with average returns of ***%, followed by Zhong Min Hui Jin and Shanghai Bing Qing Private Fund [14][15]. 0-5 Billion - Tian Zhi Hui, Guangzhou Tian Zheng Han, and Hangzhou Sai Pa Si lead the 0-5 billion category, with average returns of ***%, ***%, and ***% respectively [17][18]. Investment Strategies - Ming Shi Fund employs a comprehensive quantitative stock selection strategy across the market, aiming for broad coverage and strong timing discipline to achieve excess returns [8]. - Hei Yi Asset focuses on risk control and employs a diverse strategy matrix, including quantitative stock selection and index enhancement [9]. - Shanghai Zhi Jie Private Fund emphasizes small-cap strategies, targeting stocks that have significantly declined in value, aligning interests with major shareholders [16].