相关报告：智研咨询发布的《中国公募量化基金行业市场全景调研及未来前景研判报告》 内容概况：中国公募量化基金于2002年开始起步，伴随着中国资本市场的逐步开放与制度完善，量化投 资开始在国内萌芽。历经二十余年的发展，公募量化基金已从边缘小众产品成长为公募基金行业的重要 组成部分，形成了指数增强、量化对冲、主动量化等多元策略格局。2025年A股市场在"科技突 围"与"反内卷"政策的主线交织下走出了一场波澜壮阔的结构性行情，小盘成长风格持续占优，成交活 跃度显著提升，量化基金迎来业绩与规模的"双丰收"。截至10月29日，2025年期间公募量化策略基金合 计成立158只，比2024年全年的95只增逾66%，并创出历年来年度新高，其中增强指数型基金新成立132 只。从发行规模来看，量化策略基金年内募资总规模为830.64亿元，超出了历史上任何一个年份，比 2024年的368.55亿元增长125%。自2018年以来，公募量化基金的总规模呈现阶段性变化。2018-2021年 期间，随着资本市场全面深化改革持续推进，多层次市场体系日益完善，中国公募量化基金也迎来重大 发展机遇，总规模快速增长；2021-2025年期间，规模呈 ...

Core Viewpoint - The domestic quantitative trading market in China is expected to reach a historical high of over 2 trillion yuan by 2025, despite regulatory constraints on frequency [2][3]. Group 1: Market Size and Growth - The domestic quantitative private equity management scale is projected to exceed 1.5 trillion yuan in 2025, with public funds managing over 400 billion yuan in quantitative assets, leading to a total market size surpassing 2 trillion yuan [2]. - Compared to the same period in 2024, the total scale of quantitative management is conservatively estimated to increase by 700 billion yuan, driven by significant returns of at least 50% for existing clients [2][3]. - By the end of Q3 2025, the public quantitative scale is expected to exceed 400 billion yuan, and the private quantitative management scale is around 1.49 trillion yuan, indicating a robust growth trajectory [3]. Group 2: Industry Trends and Strategies - The rapid growth of quantitative private equity is attributed to increased market efficiency, demand for stable returns, and the performance of quantitative strategies in volatile markets [3][4]. - Industry players are implementing measures to control scale, such as limiting fundraising and increasing investment thresholds, to balance strategy effectiveness and growth [4][5]. - The industry is anticipated to transition from "scale expansion" to "scale management" in 2026, focusing on strategy diversification to achieve sustainable excess returns [5]. Group 3: Performance and Returns - In 2025, the average return of nearly a thousand index-enhanced strategy products reached 45.08%, with an average excess return of 16.75%, showcasing strong alpha generation capabilities [6]. - The performance of small-cap index-enhanced products, particularly the CSI 1000 index, was notably strong, with average returns of 49.78% and a high percentage of positive excess return products [6][7]. - The high turnover rate and daily trading volume in the A-share market in 2025 are favorable for the performance of quantitative strategies [6]. Group 4: Investor Behavior and Risk Management - Despite proactive scale control by institutions, there is concern over investors' aggressive capital allocation due to high returns from quantitative strategies [6][8]. - Investment professionals emphasize the importance of guiding clients to understand the relationship between returns and risks, advocating for a long-term investment perspective [8]. - Recommendations include implementing mechanisms to reduce short-term redemption impacts and focusing on risk control to avoid excessive pursuit of short-term performance [8].

Group 1 - The core viewpoint of the article highlights the strong performance of index-enhanced asset management products in 2025, with Tianfeng Asset Management's investment manager Li Yunhao achieving impressive results [1] - Li Yunhao has developed a core investment methodology over nearly ten years, emphasizing the importance of understanding the source of returns, positioning as a "night watchman" for clients, adopting Bayesian thinking for dynamic strategy optimization, and utilizing diverse financial instruments to enhance returns while securing investments [1] - Technology is identified as a key driver for improving the execution efficiency of strategies, with Tianfeng Asset Management independently developing a quantitative trading system that significantly enhances trading efficiency and reduces costs [1] Group 2 - Li Yunhao views quantitative investment as playing a deeper role as a "resource allocator," correcting market mispricing and facilitating more effective price discovery, thereby directing financial resources towards strategic emerging industries [2] - Tianfeng Asset Management expresses its commitment to client-focused wealth management and respect for the market, aiming to empower the entire asset management chain through technological innovation [3]

Core Viewpoint - The article emphasizes the importance of risk control and value assessment in quantitative investment, highlighting that a good client experience is essential for long-term, stable investment returns [1][2]. Group 1: Risk Identification - Different investment methods and academic perspectives define risk differently, with volatility often being a key measure in academia, while permanent loss of principal is a concern for value investors [5]. - The team focuses on understanding the return characteristics of strategies to identify corresponding risk indicators that are trackable and comparable [5]. Group 2: Risk Control Value Assessment - Risk control is viewed as a dimension for evaluating the value of managers, rather than merely reacting to drawdowns after they occur [7]. - The assessment of risk control is not a one-size-fits-all approach; it varies based on the specific strategy being evaluated [7]. Group 3: Cross-Validation of Value and Portfolio Adjustment - Value investment is not a static process; adjustments are made based on ongoing evaluations of the value dimensions of quantitative products [9]. - Regular communication with managers and the use of multiple data sources for cross-validation are essential for maintaining an accurate assessment of value [9].

Core Viewpoint - The A-share market continued its strong performance in 2025, with the Shanghai Composite Index returning to 4000 points after ten years and the ChiNext Index rising approximately 50% throughout the year. This growth was driven by breakthroughs in the technology sector, liquidity easing, and policy support, but also experienced significant market differentiation and volatility [3]. Group 1: Private Fund Performance - As of December 31, 2025, there were 3,270 stock strategy products with reported returns and Sharpe ratios, achieving an average return of 37.36% and an average Sharpe ratio of 1.67. Products from funds with over 10 billion in assets had a higher average Sharpe ratio of 2.18 [3]. - The high returns of private equity products are often accompanied by high risks, with the Sharpe ratio serving as a key indicator for assessing the risk-adjusted performance of investment portfolios [3]. Group 2: Top Products by Fund Size - In the category of funds over 100 billion, there were 499 products with an average return of 34.7% and an average Sharpe ratio of 2.18. The top three products were managed by Wang Yiping from Evolutionary Asset, Zhu Xiaokang from Longqi Technology, and Xu Jikan from Mingshi Fund [5][6]. - For funds between 50-100 billion, 204 products reported an average return of 36.93% and an average Sharpe ratio of 2.11, with the top three managed by Shi En from Yunqi Quantitative, Liang Tao from Liangkui Private Fund, and Lin Ziyang from Hainan Shengfeng Private Fund [8][10]. - In the 20-50 billion category, 351 products had an average return of 39.76% and an average Sharpe ratio of 1.76, with the top three managed by Zhong Yinhui from Xiangmu Asset and Liu Xuhui from Hainan Zhengren Quantitative Private Fund [12][13]. - For funds in the 10-20 billion range, 409 products achieved an average return of 45.27% and an average Sharpe ratio of 1.66, with the top three managed by Zheng Bin and Zou Qixiang from Yangshi Asset [15][17]. - In the 5-10 billion category, 477 products had an average return of 38.71% and an average Sharpe ratio of 1.54, with the top three managed by Liu Li and Zhu Chaona from Qiheju Asset [19][20]. - For funds under 5 billion, 1,330 products reported an average return of 34.88% and an average Sharpe ratio of 1.43, with the top three managed by Wu Ziqiang and Ding Xu from Duwi Fund [21][22].

- The report introduces a quantitative model named "Mainline Industry Combination" which is constructed based on the alpha performance of heavy stocks held by industry-focused funds and their commonality in industry distribution. The model identifies high alpha industry-focused funds by calculating the monthly excess returns of their heavy stocks relative to their respective industry indices, synthesizing monthly alpha values, and applying a linear time decay weighted scoring system to select the top 20% of funds. It then verifies consensus at the industry level by analyzing the concentration of these selected funds in specific industries, determining potential mainline industries for investment[28][29][30] - The report evaluates the "Mainline Industry Combination" model as effective in capturing core market trends during clear industry cycles, such as food and beverage in 2016, pharmaceuticals in 2019-2020, and TMT in 2024-2025. However, its performance is limited during periods of rapid industry rotation or unclear market mainlines due to signal bias or increased empty positions[36][39][42] - The backtesting results of the "Mainline Industry Combination" model show an annualized return of 20.91% from 2016 to January 2026, with an annualized excess return of 14.62% compared to equity-biased fund indices. The model demonstrates high annual win rates, particularly during clear industry trend periods, but faces challenges in accumulating excess returns during rapid market rotations[36][38][39] - The report introduces another quantitative model named "Industry Rotation Fund Combination," which is constructed by identifying non-industry-focused funds with high industry turnover rates. The model calculates the turnover rate of fund holdings by comparing the proportion of heavy stocks in different industries across consecutive periods, and selects the top 30% of funds with the highest turnover rates. Further, it uses factor backtesting to identify funds with high dynamic returns and small-cap stock preferences, forming a combination of the top 10 funds with the highest scores[61][64][68] - The "Industry Rotation Fund Combination" model is evaluated as highly adaptable to volatile markets with frequent industry rotations, complementing the "Mainline Industry Combination" model. It performs better in periods lacking clear market mainlines, such as 2018 and 2023, by actively switching industries to adapt to changing market trends[68][69][70] - The backtesting results of the "Industry Rotation Fund Combination" model show an annualized return of 15.05% from 2016 to January 2026, with an annualized excess return of 8.60% compared to equity-biased fund indices. The model demonstrates strong adaptability in volatile markets, achieving higher excess returns during periods of rapid industry rotation[68][69][70] - The report combines the two strategies, "Mainline Industry Combination" and "Industry Rotation Fund Combination," to form a comprehensive model named "Capturing Industry Opportunities Combination." This model adjusts its strategy based on market liquidity changes, using the monthly change in the average daily trading volume of the CSI 800 Index over the past 200 trading days as a leading indicator. When market liquidity expands, the mainline strategy is preferred, while the rotation strategy is favored during liquidity contraction. The combined model achieves an annualized return of 19.61% and an annualized Sharpe ratio of 0.77, with an annualized excess return of 13.32% compared to equity-biased fund indices[72][73][76]

此外，还将在应用与生态层，聚焦投研、风险控制与策略管理等核心场景，持续探索人工智能技术在量 化交易与金融业务中的工程化应用路径，推动形成协同演进的生态服务体系。 此外，高盈科技还表示，未来还将联合中科闻歌在商业创业和产业赋能上，探索AI驱动的商业模式创 新，共同推进智能化解决方案在量化投资领域的产业化推广。 市场人士指出，此次合作是量化投资技术与数据智能技术的深度融合。高盈科技在量化交易平台、策略 工程化及市场实战方面的优势，与中科闻歌在多模态数据治理、通专融合大模型与决策智能方面的技术 积累形成强互补。双方将通过构建"数据－模型－决策"闭环体系，打造更智能、更精准的投研辅助系 统。 高盈科技透露将以此次合作为起点，携手中科闻歌持续推动AI技术在金融量化领域的深度应用，共同 抢占"AI+量化"新高地，为行业智能化升级注入新动能。中科闻歌也表示，此前中科闻歌已布局人工智 能赋能银行、基金、保险等金融领域业务，本次合作将深化金融细分领域应用场景探索。 近日，高盈国际创新科技（香港）有限公司（以下简称"高盈科技"）与中科闻歌正式签署战略合作框架 协议。双方将围绕量化投资智能化升级，在另类数据赋能、因子智能挖掘、智能 ...

Core Viewpoint - The A-share market experienced a significant upward trend in 2025, with major indices showing considerable gains, including an over 18% increase in the Shanghai Composite Index and a more than 49% rise in the ChiNext Index. Precious metals, driven by their safe-haven properties and macroeconomic logic, saw an impressive annual increase of over 81% [3]. Private Fund Performance - By the end of 2025, the average return for 5,192 private funds displayed on the Private Fund Ranking Network reached 31.93%. Notably, quantitative long and subjective long strategies performed exceptionally well, with average returns of 44.74% and 37.71%, respectively [3][5]. - The active rotation in sectors such as consumption, technology, and high-end manufacturing created substantial structural opportunities for equity strategy funds, further enhanced by active market trading and sustained liquidity [3]. Strategy Performance - Multi-asset strategies, including composite and macro strategies, also performed well, with average returns exceeding 29%. Other mainstream strategies, such as CTA and FOF strategies, achieved average returns above 20% [3]. - The top-performing strategies in 2025 included: - Quantitative Long: Average return of 44.74% - Subjective Long: Average return of 37.71% - Composite Strategy: Average return of 30.77% - Macro Strategy: Average return of 29.01% [5][6][11]. Top Funds by Strategy - The top 20 quantitative long products included firms such as Gaia Qingke, Jintong Investment, and Hanrong Investment, with the top threshold for returns being notably high [6][7]. - The leading subjective long products were from firms like Nengjing Investment Holdings and Shanghai Geryu Private Equity, with a high entry threshold for returns [11][13]. - In the composite strategy category, Shuohe Asset led the performance, followed by Tianhui Investment and Ningbo Shufa Private Equity [17][18]. - For macro strategies, notable performers included Jiuqi Investment and Luyuan Private Equity, with a significant number of products achieving high returns [20][21]. Private Fund of Funds (FOF) - The average return for private FOF products in 2025 was 20.55%, with the top ten funds including Shanghai Taiying and Qingdao Hongyun Ruiheng Private Equity [35][36]. - The leading FOF product, managed by Li Chunyu of Rongzhi Investment, achieved a notable return, emphasizing a focus on diversified asset allocation and risk management [40].

昨天说了，国内股市近期别碰，不知道还有多少头铁，今天看看盘面，还是熟悉的指数涨0.5%即打压，跌回原点又会反弹。有人说这样能不能做套利，我 觉得可以，第一个是期指，不过日内单手续费高，你可以换成T+1对锁，如果不懂这个就别参与，毕竟带杠杆万一超级主力有一天不上班，这法则就无法实 施，还容易亏钱，毕竟砸盘主力是人为压制，并不是市场的本意，这种你开空单亏了还下个不能怪谁。第二个是ETF做T+0，低买高卖挺容易的，锚定0.5% 的上下区间就行，不过同样是在一堆垃圾里挑吃的，我想问为啥非得盯A股？商品不香吗？海外不香吗？比如黄金白银大宗，每一个都在涨价，这些又是市 场自由博弈，没有超级主力砸盘，另外，海外半导体高景气延续，天天都是涨价，国内不给炒你不会去海外？这个市场已经烂透了，我觉得没啥好留恋的， 谈价值没价值，谈炒作禁炒作，谈耐心资金就是每天乖乖被锤天天市值新低，哪有这样天天对着各类投资者整的市场。所以现在黄金、白银上涨很快，也是 超级主力的功劳，不买黄金白银，难道去买医药白酒吗？ 中线策略分析：【整体情况】 今天统计的买盘力量是3000+，明显感觉盘面越来越强，而且超级主力越砸影响越少，主要原因从数据上就看到了 ...

2025年，无疑是量化投资发展史上一个标志性的大年。年初，DeepSeek的横空出世为量化领域注入了颠覆性的AI动能；与此同时，A股市场震荡上行，整 体而言中小盘风格显著占优，中证2000与微盘股指数分别大涨超36%和80%，叠加市场流动性充裕、交投活跃，多重利好共振，令量化多头策略"如鱼得 水"，迎来全面爆发！ 为能更清晰了解量化私募基金的业绩，经笔者统计，在私募排排网上有业绩展示的量化产品共有1784只，2025年平均收益达30.28%，2025年平均超额 （几何）收益达10.83%；其中量化多头策略产品多达806只，2025年收益和超额（几何）收益分别为44.74%、16.46%，在私募二级策略中居前。 | 排 | 私募二级策略 | 有业绩展示的 | 2025年平均收益 | 2025 E 24 2 | | --- | --- | --- | --- | --- | | 序 | | 量化产品 | | 超额收益 | | 1 | 喜化多杀 | 806 | 44.74% | 16.46% | | 2 | 量化CTA | 375 | 20.21% | 14.04% | | 3 | 股票市场中性 | 186 | 9 ...