Market Performance - In 2025, A-shares and Hong Kong stocks had their best performance in the last five years, with A-shares rising 24.60% and Hong Kong's Hang Seng Index increasing by 27.77% [4][9][23]. - The ChiNext Index surged by 50% in Q3, marking the largest quarterly increase in the last decade [7]. - The global stock market also saw an overall increase of 22.43% in 2025 [23]. A-shares Breakdown - The CSI 300 Index rose by 17.66%, while the CSI 500 and CSI 1000 increased by 30.39% and 27.49%, respectively [10][11][12]. - Growth stocks outperformed value stocks in 2025, with the CSI 300 Growth Index up 29.52% compared to the CSI 300 Value Index's 6.41% [20][21]. Hong Kong Market Insights - The Hong Kong stock market outperformed A-shares, with the technology sector rising by 34.97% [23]. - The Hang Seng Dividend Low Volatility Index increased by 18.97%, indicating strong performance across various sectors [23]. Global Market Context - Since the Federal Reserve's first interest rate cut on September 19, 2024, global stock indices have risen by 24.62%, with A-shares increasing by 60.66% and Hong Kong stocks by 45.13% [24]. - The easing of monetary policy has led to increased liquidity in global markets, benefiting A-shares and Hong Kong stocks [24]. Investment Strategy Performance - The Index Enhancement Strategy achieved a 23.16% increase in 2025, outperforming both the CSI 300 and CSI 800 indices [28][29]. - The Active Selection Strategy also significantly outperformed the CSI 300, with a 27% increase in 2025 [47]. Investor Returns - By the end of 2025, approximately 88.65% of holders of the Ding series advisory combinations were in profit, significantly higher than the average profit rate of individual investors [53][58]. - The report indicated that 38.2% of advisory investors chose to reinvest, reflecting confidence in the advisory services [54]. Company Achievements - The company maintained a consistent engagement with its audience, providing over 100,000 words of original content and responding to approximately 45,000 inquiries in 2025 [68]. - The company received multiple awards for its advisory services, including the prestigious "Golden Bull Award" for three consecutive years, highlighting its recognition in the investment advisory field [100].

- The report tracks the performance of single factors and major factor categories in quantitative stock selection models across different stock pools (CSI 300, CSI 500, CSI 1000, CSI 2000, and CSI All Share). It highlights the excess returns of factors over different time periods, such as weekly, monthly, and yearly[7][28][30] - Single factors with strong weekly excess returns in the CSI 300 stock pool include "120-day change in analysts' forecasted net profit FY3" (2.11%), "EPS 120-day change FY3" (2.05%), and "90-day institutional earnings forecast adjustment" (1.96%)[30] - In the CSI 500 stock pool, factors with strong weekly excess returns include "standardized unexpected single-quarter ROA with drift" (1.18%), "standardized unexpected single-quarter net profit with drift" (1.15%), and "standardized unexpected P/E ratio (parent company) with drift" (1.15%)[31] - For the CSI 1000 stock pool, factors with strong weekly excess returns include "single-quarter non-recurring ROA change" (1.26%), "1-minute path momentum" (1.15%), and "20-day intraday return" (1.02%)[32] - In the CSI 2000 stock pool, factors with strong weekly excess returns include "60-day shareholding ratio change" (1.74%), "5-day shareholding ratio change" (1.26%), and "EP 60-day change" (1.12%)[33] - Major factor categories with strong weekly excess returns in the CSI 300 stock pool include "analysts' surprise" (1.96%), "growth" (1.5%), and "analysts" (1.24%). For the full year, the best-performing categories are "profitability" (33.2%), "analysts' surprise" (30.25%), and "growth" (29.73%)[37][38][40] - In the CSI 500 stock pool, the best-performing major factor categories for the year are "growth" (16.68%), "analysts" (10.84%), and "analysts' surprise" (8.32%)[42][43] - For the CSI 1000 stock pool, the top-performing major factor categories for the year are "growth" (18.41%), "analysts" (10.99%), and "analysts' surprise" (10.86%)[47][48] - In the CSI 2000 stock pool, the best-performing major factor categories for the year are "market capitalization" (22.73%), "analysts' surprise" (20.54%), and "growth" (20.25%)[52][55] - The CSI All Share stock pool shows the best-performing major factor categories for the year as "market capitalization" (43.82%), "growth" (26.45%), and "analysts' surprise" (23.55%)[57][58] - The report also tracks the performance of index enhancement strategies based on multi-factor stock selection models. For the CSI 300 stock pool, the strategy achieved a weekly return of 2.38% and an annual return of 27.19%, with an excess return of 8.84% and a maximum drawdown of -3.15%[59][60] - For the CSI 500 stock pool, the strategy achieved a weekly return of 3.59% and an annual return of 31.54%, with an excess return of 1.28% and a maximum drawdown of -4.76%[60] - The CSI 1000 stock pool's strategy achieved a weekly return of 3% and an annual return of 42.2%, with an excess return of 14.54% and a maximum drawdown of -5.59%[66] - The CSI 2000 stock pool's strategy achieved a weekly return of 1.76% and an annual return of 63.87%, with an excess return of 27.31% and a maximum drawdown of -5.23%[66]

（原标题：突破2600亿！指增"黄金时代"正在来临，来看大厂样本） 随着公募基金业绩比较基准监管全面收紧，所有玩家被推向以基准为起跑线的赛道，一场关乎行业未来 的竞逐已然开始。 与基准约束具有天然契合度的指数增强策略，在行业变革的夹缝中，撕开了一道裂口，成为市场重要的 结构性趋势。截至2025年12月25日，公募行业今年以来新成立了177只指数增强基金，合计新发规模超 975.18亿元——这一数字超过了2022年至2024年三年的总和。 巨大的市场版图召唤垦荒人。各家基金公司纷纷厉兵秣马，或坚守原有策略，或持续创新，以迎接"新 棋局"的到来。而此时，谁能更早、更好地解决投资者最关切的命题，谁就可能获得更大的市场份额。 也即，如何在提供"全方位解决方案"的前提下，力争获得可解释、可预期的长期稳定超额收益？ 2600亿背后：指增"黄金时代"正在来临 2025年，公募基金行业的转型脉络里，业绩比较基准正成为新的"指挥棒"。证监会《推动公募基金高质 量发展行动方案》的落地，让绩效考核、分类评价、薪酬管理等环节全面锚定这一核心指标。 在这样的行业语境下，指数增强产品正在迎来属于自己的"黄金时代"——明确的基准锚定属性， ...

以下文章来源于公募排排网 ，作者排排产品研究中心 公募排排网 . 看财经、查排名、买基金，就上公募排排网，申购费低至0.001折。 近期，A股市场呈现出明显的结构性震荡特征：科技成长与红利价值反复切换，指数层面缺乏趋势性方向，行业轮动速度仍然维持在相对高位运 行。 面对此类行情，结构性配置的重要性愈发显现，成为穿越震荡的核心抓手。 图1：行业轮动速度近年来维持在高位 本文首发于公众号"公募排排网"。（点击↑↑上图查看详情） 数据来源：公募排排网；截止日期：2025年12月17日；行业轮动速度指标计算：1）统计中信一级行业各指数的近一季度（60个交易日）收益率，并在横截面上对 所有行业收益率进行排名；2）计算每天相较于前一天的排名变化的绝对值总和；3）计算月均的排名变化，并取其滚动24个月的均值以平滑趋势，将最终所得数值 代表轮动速度。 一、中证500指数的配置价值凸显 在这样的环境下，中证500指数的"中枢属性"开始重新凸显。 从指数定位看，中证500成份股主要覆盖沪深两市中等市值公司，既不像沪深300那样高度集中于金融与权重股，也不像中证1000/2000那样暴 露于高波动的小市值风格。其行业分布更加均衡， ...

引言 2025年的A股市场，延续了近年来波动率下行的长期趋势。自2015年融资牛后，核心指 数的日度波动率持续收敛，尤其在机构化提速、监管强调高质量发展等多重因素作用 下，市场逐步呈现出"低趋势、低振幅"的典型特征。 对于以获取Alpha为目标的指数增强策略而言，这一波动率环境的变迁，既是必须正视 的挑战，也暗含新的超额逻辑。 下文将从波动率周期切入，系统分析市场波动对指增策 略的影响与未来机会。 可参考： 量化私募基金超额收益TOP10揭晓！幻方、明汯、蒙玺、翰荣等居前！ 秒雾排球网 "中证1000指增"产品今年来超额收益TOP10 数据来源:私募管理人(经托管复核)/托管人,整理自私募排排网,截至202 私募公司旗下相同策略的产品,仅选取超额(几何)收益最高的参 | | | | 排名 | 产品简称 | 县余经理 | 品规模 今年来超额 | | 公司简称 | 公司规模 | | --- | --- | --- | --- | --- | --- | --- | | | | | (万元) | 收益 | | | | | 今通量化价值成长 八号 | 钱伟强 | | | 今通投资 | 5-10亿 | | 2) | 鹿 ...

两位创始人陈泽浩和邹倚天均为国内第一批华尔街归国量化投资经理，均拥有18年海内外量化投资实战经验。目前，黑翼资产已实现全流程AI量化投 资，并构建了多元化的策略矩阵，覆盖量化选股、指数增强、市场中性、多策略、量化CTA等产品线。黑翼资产的两位创始人既是基金经理，也是核心量 化策略的控制人，公司管理结构非常稳定。 黑翼资产；历史不代表未来，市场有风险，投资需谨慎 （来源：中信建投财富管理） 在A股市场风格频繁切换、波动常态化的背景下，兼具"市场贝塔收益+超额阿尔法收益"的指数增强策略，有望成为投资者穿越市场周期的重要配置工 具。其中，聚焦中小盘成长风格的中证1000指数增强策略，凭借高弹性、高成长等特点，吸引了众多投资者的目光。 在这片蓝海中，黑翼资产凭借多年海内外量化积淀，以AI赋能为核心，力争打造出具有市场竞争力的1000指增策略产品，为投资者提供配置该策略的有 力工具。 创始人及投研团队 黑翼资产成立于2014年，是国内首批成立的量化投资机构之一，始终贯彻科学理性、策略多元和长期稳健的投资理念。黑翼资产专注于数量模型研究，公 司注重回撤控制和长期业绩表现，以投资者利益为核心，力争在控制回撤的基础上获取可观 ...

Quantitative Models and Factor Analysis Quantitative Models and Construction - **Model Name**: Multi-factor Stock Selection Model **Construction Idea**: The model selects effective factors from a factor library to construct weekly enhanced index strategies for different stock pools (CSI 300, CSI 500, CSI 1000, CSI 2000) [68] **Construction Process**: 1. **Factor Selection**: Hundreds of factors from the equity factor library are screened for effectiveness in the respective stock pools [68] 2. **Portfolio Optimization**: - For CSI 300: Strictly neutralize market capitalization and industry, set individual stock weight limits at 8% and deviation limits at 3% [68] - For CSI 500: Strictly neutralize market capitalization and industry, set individual stock weight limits and deviation limits at 1% [68] - For CSI 1000: Control market capitalization deviation to 0.5 standard deviations, industry deviation to 2.5%, and set individual stock weight limits and deviation limits at 1% [68] - For CSI 2000: Control market capitalization deviation to 0.5 standard deviations, industry deviation to 2.5%, and set individual stock weight limits and deviation limits at 0.5% [68] 3. **Weekly Tracking**: The performance of the enhanced index strategies is tracked weekly [68] Model Backtesting Results - **CSI 300 Enhanced Strategy**: - Weekly return: 0.63%, excess return: 0.71% [69] - Monthly return: 2.02%, excess return: 0.82% [69] - Annual return: 24.02%, excess return: 7.6%, maximum drawdown: -3.15% [69] - **CSI 500 Enhanced Strategy**: - Weekly return: 1%, excess return: -0.02% [69] - Monthly return: 2.55%, excess return: 0.58% [69] - Annual return: 26.41%, excess return: 1.19%, maximum drawdown: -4.76% [69] - **CSI 1000 Enhanced Strategy**: - Weekly return: -0.64%, excess return: -1.03% [73] - Monthly return: 0.92%, excess return: 0.42% [73] - Annual return: 36.94%, excess return: 13.22%, maximum drawdown: -5.59% [73] - **CSI 2000 Enhanced Strategy**: - Weekly return: -0.62%, excess return: -0.67% [73] - Monthly return: -0.25%, excess return: -0.58% [73] - Annual return: 59.24%, excess return: 27.14%, maximum drawdown: -5.23% [73] --- Quantitative Factors and Construction - **Factor Name**: Standardized Unexpected Price-to-Book Ratio **Construction Idea**: Measures the deviation of the price-to-book ratio from expectations, reflecting valuation anomalies [34] **Construction Process**: 1. Calculate the raw factor value for each stock [34] 2. Apply absolute median method for outlier removal [34] 3. Perform Z-Score standardization [34] 4. Neutralize the factor by regressing against logarithmic market capitalization and industry dummy variables, using the residuals as the final factor values [34] - **Factor Name**: Analyst Forecast Net Profit FY1 120-day Change **Construction Idea**: Tracks changes in analysts' net profit forecasts over the past 120 days, reflecting market sentiment and expectations [35] **Construction Process**: 1. Collect analysts' net profit forecasts for FY1 over the past 120 days [35] 2. Calculate the percentage change in forecasts over the period [35] - **Factor Name**: Analyst Forecast Revenue Growth Rate FY3 **Construction Idea**: Measures analysts' expectations for revenue growth in FY3, capturing long-term growth potential [37] **Construction Process**: 1. Aggregate analysts' revenue growth forecasts for FY3 [37] 2. Standardize the data and calculate the growth rate [37] Factor Backtesting Results - **CSI 300 Stock Pool**: - Best weekly factors: Standardized Unexpected Price-to-Book Ratio (1.97%), Analyst Forecast Net Profit FY1 120-day Change (1.67%), Past 90-day Report Upgrade Ratio (1.39%) [35] - Best annual factors: Single-quarter ROE (25.63%), Single-quarter Revenue YoY Growth Rate (25.1%), Single-quarter ROA Change (22.51%) [35] - **CSI 500 Stock Pool**: - Best weekly factors: Net Operating Asset Return (1.5%), Past 90-day Post-announcement Report Upgrade Ratio (1.16%), Analyst Forecast Net Profit FY3 120-day Change (1.11%) [36] - Best annual factors: Analyst Forecast Net Profit Growth Rate FY3 (15.13%), Analyst Forecast Revenue FY3 120-day Change (14.74%), Analyst Forecast Revenue Growth Rate FY3 (14.74%) [36] - **CSI 1000 Stock Pool**: - Best weekly factors: Analyst Forecast Revenue Growth Rate FY3 (1.82%), Analyst Forecast Revenue FY3 120-day Change (1.76%), 90-day Earnings Upgrade Ratio (1.7%) [37] - Best annual factors: Analyst Forecast ROE FY3 120-day Change (21.77%), Standardized Unexpected Single-quarter ROE with Drift (20.54%), Standardized Unexpected Single-quarter Net Profit with Drift (20.32%) [37] - **CSI 2000 Stock Pool**: - Best weekly factors: Analyst Forecast Revenue Growth Rate FY3 (2.24%), Analyst Forecast Net Profit Growth Rate FY3 (2.15%), Post-morning 30-minute Price Change (1.92%) [38] - Best annual factors: Standardized Unexpected Single-quarter Excluding Non-recurring Net Profit with Drift (25.17%), Past 90-day Report Upgrade Ratio (24.28%), 5-minute Volume Skewness (23.98%) [38] - **CSI All-share Stock Pool**: - Best weekly factors: Analyst Forecast ROE FY3 120-day Change (2.5%), Analyst Forecast ROA FY3 (2.36%), Analyst ROE FY3 (2.27%) [39] - Best annual factors: Analyst Forecast ROE FY3 120-day Change (27.33%), Single-quarter Revenue YoY Growth Rate (21.77%), Analyst Forecast ROA FY3 120-day Change (21.27%) [39] --- Large Factor Categories and Performance - **CSI 300 Stock Pool**: - Best weekly categories: Analyst Surprise (1.57%), Profitability (1.45%), Growth (1.22%) [45][46] - Best annual categories: Profitability (31.35%), Analyst Surprise (27.31%), Growth (26.87%) [45][46] - **CSI 500 Stock Pool**: - Best weekly categories: Profitability (1.6%), Growth (0.39%), Analyst (0.01%) [52][53] - Best annual categories: Growth (16.53%), Analyst (9.54%), Analyst Surprise (7.35%) [52][53] - **CSI 1000 Stock Pool**: - Best weekly categories: Profitability (0.05%), Growth (0.03%), Analyst (-0.06%) [54][57] - Best annual categories: Growth (17.31%), Analyst Surprise (11.02%), Analyst (10.98%) [54][57] - **CSI 2000 Stock Pool**: - Best weekly categories: Analyst (0.46%), Profitability (-0.58%), Growth (-0.61%) [60][62] - Best annual categories: Market Capitalization (23.11%), Analyst Surprise (20.67%), Growth (20.33%) [60][62] - **CSI All-share Stock Pool**: - Best weekly categories: Analyst (0.32%), Analyst Surprise (0.19%), Profitability (-0.14%) [63][65] - Best annual categories: Market Capitalization (42.55%), Growth (24.85%), Analyst Surprise (22.12%) [63][65]

Core Insights - The report emphasizes the construction of an AI-based low-frequency index enhancement strategy using deep learning frameworks to build alpha and risk models [3][14]. - The performance of various index enhancement funds has been highlighted, showing significant excess returns compared to their respective indices [10][11]. Market Index Performance - As of December 5, 2025, the Shanghai Composite Index rose by 0.37%, the Shenzhen Component Index increased by 1.26%, and the CSI 300 Index gained 1.28% [7][8]. - The year-to-date performance shows the CSI 300 Index up by 16.5%, while the CSI 300 index enhancement portfolio increased by 26.2%, resulting in an excess return of 9.7% [18]. Index Enhancement Fund Performance - For the CSI 300 index enhancement fund, the minimum excess return was -1.28%, the median was 0.11%, and the maximum was 0.95% for the week ending December 5, 2025 [10][11]. - Year-to-date, the CSI 500 index enhancement fund showed a minimum excess return of -10.18%, a median of 3.15%, and a maximum of 13.55% [11]. Tracking Portfolio Performance - The report outlines the construction of enhancement portfolios for the CSI 300, CSI 500, and CSI 1000 indices, utilizing deep learning to optimize alpha and risk signals [14][15]. - The CSI 500 index enhancement portfolio has achieved a year-to-date return of 30.3%, outperforming the CSI 500 index, which rose by 24.0%, resulting in an excess return of 6.4% [23][24]. Specific Index Enhancement Performance - The CSI A500 index enhancement portfolio has increased by 28.4% year-to-date, compared to a 19.6% rise in the CSI A500 index, yielding an excess return of 8.7% [29][32]. - The CSI 1000 index enhancement portfolio has shown a year-to-date increase of 38.0%, significantly outperforming the CSI 1000 index, which rose by 23.2%, leading to an excess return of 14.8% [35][36].

DeepSeek-V3.2 发布：推理性价比的长足突破 2025 年 12 月 1 日，DeepSeek 官方同时发布两个正式版模型 DeepSeek-V3.2 和 DeepSeek-V3.2-Speciale，官方网页 端、App 和 API 均已更新为正式版 DeepSeek-V3.2，并在 Huggingface 与魔搭开源。DeepSeek-V3.2 在 V3.1-Terminus 基础上引入 DeepSeek Sparse Attention（DSA）稀疏注意力机制，在几乎不牺牲效果的前提下显著提升长文本训练 与推理效率，128K 上下文场景下的单位 token 成本明显低于前代模型。配合大幅提升的后训练算力投入、可扩展的 强化学习框架以及"thinking in tool-use"等设计，V3.2 在数学、编程和代理任务上的综合推理能力已接近甚至 部分场景对标 GPT-5、Gemini-3.0-Pro，而 API 定价仅为每百万输入 token 0.2–2 元、输出 3 元，性价比优势突出。 在金融场景评测中，我们基于 CFLUE 数据集对 DeepSeek 系列与 GPT-5.1、Gemini- ...

Group 1: Emerging Energy Sector - The development of AIDC may exacerbate electricity shortages in the U.S., with data center energy storage potentially serving as a solution. Fluence is negotiating over 30GWh of data center energy storage projects, with 80% initiated after the end of Q4 2025, indicating a significant emerging market opportunity [2][3]. - U.S. data centers consumed 176 TWh of electricity in 2023, accounting for 4.4% of total U.S. electricity consumption. This demand is expected to grow annually by 13%-27% from 2023 to 2028, potentially reaching 325-580 TWh by 2028, which would increase their share to 6.7%-12% of total U.S. electricity demand [3]. - Short-term energy storage solutions are beneficial for data centers to manage peak loads and frequency regulation, while long-term solutions may involve solar and storage systems becoming self-sufficient power sources [3]. Group 2: Cai Bai Co., Ltd. (菜百股份) - Cai Bai Co., Ltd. is expected to benefit from new tax policies, which will likely enhance its market share among compliant leading brands. The company operates as a direct sales model and is a member of the Shanghai Gold Exchange, allowing it to maintain competitive pricing despite increased procurement costs from the new tax regulations [5][7]. - Revenue forecasts for Cai Bai Co., Ltd. from 2025 to 2027 are projected at 26.073 billion, 28.945 billion, and 31.804 billion yuan, with growth rates of 29%, 11%, and 10% respectively. Net profit forecasts for the same period are 833 million, 943 million, and 1.023 billion yuan, with growth rates of 16%, 13%, and 9% [5][6]. - The company is expanding its direct sales network, with a total of 103 stores by mid-2025, covering key cities and maintaining a high dividend payout ratio of over 75% [8].