ETF方面，地产股午后异动拉升，银华基金ETF、华宝基金地产ETF和南方基金房地产ETF分别涨3.79%、3.73%和3.09%。跨境QDII基金走高，景顺长城基金 纳指科技ETF和景顺长城基金标普消费ETF分别涨2.18%和1.7%。工程机械板块走高，大成基金工程机械ETF涨2.23%。卫星板块再度走高，招商基金卫星产 业ETF涨1.69%。 大数据板块走弱，大数据ETF跌2%。银行板块下挫，中证银行ETF跌1.92%。红利指数继续下挫，港股通红利ETF富国、港股通红利ETF均跌1.6%。 格隆汇12月10日｜截至收盘，上证指数跌0.23%，深证成指涨0.29%，指跌0.02%，北证50跌0.85%。全市场成交额1.79万亿元，较上日成交额缩量1260亿 元。 地产股午后异动上涨，万科A涨停；教育、CPO、半导体题材午后拉升，海南自贸区、零售板块全天强势。光伏、超硬材料、服务器、板块调整。 | 上证指数 | 深证成指 | 北证5( | | --- | --- | --- | | 3900.50 | 13316.42 | 1389.8 | | -9.03 -0.23% +39.06 +0.29% -11.93 ...

ETF方面，景顺长城基金标普消费ETF、景顺长城基金纳指科技ETF分别涨2.07%和1.97%。工程机 械板块走高，大成基金工程机械ETF涨1.44%。卫星板块再度走高，招商基金卫星产业ETF涨1.16%。永 赢基金黄金股ETF、华夏基金黄金股ETF均涨1%。 光伏板块领跌，光伏龙头ETF、光伏ETF易方达和光伏ETF分别跌2.84%、2.71%和2.67%。大数据 板块走弱，大数据ETF、数据ETF跌2.5%。 截至午盘，上证指数跌0.72%，深证成指跌0.56%，创业板指跌1.23%。全市场成交额1.15万亿元， 较上日成交额缩量1184亿元。 算力硬件产业链下挫，服务器、存储器方向领跌；光伏、超硬材料、AI应用、消费电子题材跌幅 靠前；海南自贸区、离境退税、锂矿、零售概念股逆势走强。 （责任编辑：董萍萍 ） 【免责声明】本文仅代表作者本人观点，与和讯网无关。和讯网站对文中陈述、观点判断保持中立，不对所包含内容 的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考，并请自行承担全部责任。邮箱： news_center@staff.hexun.com ...

Group 1 - The Zhongzheng Cloud Computing and Big Data Theme Index (930851) has shown strong growth, with notable increases in constituent stocks such as Zhongji Xuchuang (300308) up 14.48%, Xinyi Sheng (300502) up 10.61%, and Shiji Information (002153) up 10.00% [1] - The Big Data ETF (159739) has risen by 3.96%, with the latest price reported at 1.55 yuan [1] - The AI industry chain is experiencing a broad rally, particularly in computing hardware stocks, with active performance in AI applications [2] Group 2 - Meta is negotiating with Google to use TPU chips worth billions of dollars in its data centers by 2027, which could generate significant revenue for Google [2] - Alphabet recently achieved a quarterly revenue exceeding $100 billion for the first time in Q3 2025, marking a 16% year-on-year growth [2] - The total potential market size for Optical Circuit Switching (OCS) is expected to exceed $1.6 billion by 2029, driven by advancements in Google's AI processes [2] Group 3 - The Zhongzheng Cloud Computing and Big Data Theme Index includes 50 listed companies involved in cloud computing services, big data services, and related hardware, reflecting the overall performance of these sectors [3] - As of October 31, 2025, the top ten weighted stocks in the index account for 61.58% of the total, including Zhongji Xuchuang (300308), Xinyi Sheng (300502), and Keda Xunfei (002230) [3]

Core Insights - The demand for 1.6T optical modules has been revised upwards from 7-10 million units to 20 million units for 2026, indicating potential for further upward adjustments [1] - This demand increase is expected to significantly boost profits for leading companies beyond market expectations [1] - The technology iteration cycle in the optical module industry has shortened, with the transition from 800G discussions in 2023 to 1.6T expected by 2025, reducing the cycle to less than 2 years [1] Industry Performance - As of October 20, 2025, the CSI Cloud Computing and Big Data Theme Index (930851) rose by 3.31%, with notable increases in constituent stocks such as Zhongji Xuchuang (300308) up 10.01% and Xinyi Sheng (300502) up 6.86% [1] - The Big Data ETF (159739) also saw a rise of 3.45%, with the latest price reported at 1.5 yuan [1] Index Composition - The CSI Cloud Computing and Big Data Theme Index includes 50 listed companies involved in cloud computing services, big data services, and related hardware, reflecting the overall performance of these sectors [2] - As of September 30, 2025, the top ten weighted stocks in the index accounted for 60.8% of the total, including Zhongji Xuchuang (300308) and Xinyi Sheng (300502) among others [2]

Core Insights - The technology sector has become a significant component of the A-share market, accounting for over 25% of the total market capitalization [1] - Public funds are increasingly focusing on technology investments, particularly in areas like artificial intelligence (AI), humanoid robots, and innovative pharmaceuticals, indicating a shift in investment strategies and methodologies [1][3] - The rise of technology investments is attributed to China's long-term economic transformation, emphasis on technological innovation, and the capital market's role in supporting the real economy [3] Investment Trends - Over 90% of newly listed companies in recent years are technology-related or have high technological content, with the number of technology companies in the top 50 by market capitalization increasing from 18 to 24 since the end of the 13th Five-Year Plan [1] - The market is witnessing a transformation in investment philosophy, with long-term capital, including insurance and pension funds, reassessing the long-term value of technology assets [3][4] - Fund managers are adapting to the complexities of technology investments, which require a shift from traditional linear thinking to a more systemic approach [1][5] Research and Methodology - The investment approach for technology sectors necessitates a deeper understanding of industry logic and performance expectations, with a focus on proactive positioning and foresight [6][7] - Fund companies are enhancing their research capabilities by building specialized teams and adopting innovative methodologies to address the unique challenges of technology investments [7][8] - The need for interdisciplinary knowledge is emphasized, with fund managers requiring a blend of financial acumen and technical expertise to navigate the technology landscape effectively [6][7] Product Strategies - Fund companies are diversifying their product offerings in technology investments, balancing between active equity products and passive index funds to capture various market opportunities [8][9] - The focus on technology themes aligns with national strategic development directions, leading to the creation of specialized funds targeting sectors like AI, semiconductors, and renewable energy [8][9] - The outlook for technology investments remains optimistic, with expectations of strong performance in sectors such as AI, semiconductors, and biomedicine [9]

- The style rotation model is constructed based on micro-level stock factors, including valuation, market capitalization, volatility, and momentum. It utilizes 80 base factors to generate 640 micro features, replacing absolute proportion division of style factors with common indices as style stock pools. Random forest is employed for rolling training to avoid overfitting, enabling feature selection and style recommendation. The framework integrates style timing, scoring, and investment implementation[3][8][9] - The performance of the style rotation model during the backtesting period (2017/01/01-2025/08/31) shows an annualized return of 17.08%, annualized volatility of 20.07%, IR of 0.85, monthly win rate of 55.77%, and maximum drawdown of -29.89%. When hedging against the market benchmark, the annualized return is 10.42%, annualized volatility is 13.03%, IR is 0.80, monthly win rate is 56.73%, and maximum drawdown is -9.57%[9][10] - The style rotation model's September 2025 timing direction focuses on growth, large-cap, momentum, and high-volatility factors[17] - The latest holdings of the style rotation model for September 2025 include ETFs such as Semiconductor Leaders ETF (159665.SZ), Big Data ETF (159739.SZ), Artificial Intelligence ETF (159819.SZ), Fintech ETF (159851.SZ), and 5G ETF (159994.SZ)[2][20]

Core Viewpoint - Cambricon announced a revenue guidance of 5-7 billion for the year, leading to a nearly 7% intraday pullback, despite Goldman Sachs setting a target price of 1800 with a revenue forecast of over 6 billion for 2025 [1] Group 1: Industry Insights - The "DeepSeek moment" for domestic computing power is seen as an opportunity for market expansion, driven by three key factors: unwavering national support for technological self-reliance, persistent demand from major companies for supply chain security, and a collective industry effort to accelerate technological iteration [1] - Domestic leading companies are expected to accelerate breakthroughs against overseas blockades, particularly in response to Nvidia's upgraded AI chips, with Cambricon and Huawei's Ascend 920 positioned at the forefront of the domestic AI chip competition [1] Group 2: Cost and Performance Advantages - The cost of completing a full programming task using DeepSeek is approximately one-sixtieth of that of proprietary systems, highlighting its performance-cost advantage, which is expected to benefit downstream enterprises [1] Group 3: Investment Opportunities - Investment opportunities include various ETFs focusing on semiconductor and AI sectors, such as: - Sci-Tech Chip ETF Index 588920, which includes GPU chips (Cambricon + Haiguang), ASIC chips (Chipone), and foundries (SMIC + Hua Hong Semiconductor) [1] - Semiconductor ETF 159813, which also includes GPU chips (Cambricon + Haiguang) and semiconductor equipment (Northern Huachuang) [1] - Big Data ETF 159739, focusing on CPO, data centers, and AI software [1] - Telecom ETF 560690, which includes CPO, data centers, and AI software [1]

Group 1 - The core viewpoint of the news is that Shiji Information (002153.SZ) has reported significant institutional investment, with 27 institutional investors holding a total of 620 million shares, representing 22.72% of the company's total share capital [1] - The top ten institutional investors collectively hold 22.55% of the shares, with an increase of 1.27 percentage points compared to the previous quarter [1] - The report highlights the presence of notable institutional investors such as Taobao (China) Software Co., Ltd. and Beijing Yiqin Investment Co., Ltd. among others [1] Group 2 - In the public fund sector, 13 new public funds have been disclosed this period, including Galaxy Intelligent Connection Mixed A and various ETFs related to cloud computing and big data [2] - Five public funds were not disclosed in this period compared to the previous quarter, indicating a shift in fund activity [2] - The foreign investment perspective shows that Hong Kong Central Clearing Limited was not disclosed in this period compared to the previous quarter [3]

Group 1 - The leading securities ETF (159993.SZ) increased by 2.03%, while its associated index (399437.SZ) rose by 1.90% [1] - Major constituent stocks such as Dongfang Caifu, CITIC Securities, GF Securities, Dongfang Securities, and Industrial Securities saw increases ranging from 1.62% to 3.94% [1] - Huang Yanming, director of Dongfang Securities Research Institute, analyzed the current market as a sideways oscillation gradually strengthening, indicating that a breakthrough above 3674 points requires substantial capital support to challenge the 3900-4200 point range [1] Group 2 - The brokerage sector is expected to continue benefiting from the low-risk financial mainline, with leading brokerages likely to see improved expectations [1] - Industrial Securities noted that the consumer finance industry chain is likely to benefit from the implementation of the "Personal Consumption Loan Financial Subsidy Policy" [1] - Changjiang Securities analyzed that the insurance industry performed well during the slow bull market led by supply-side reforms, with the insurance index rising by 129.9% from January 2016 to January 2018, indicating significant excess returns [1]

Core Viewpoint - The increasing variety of ETF products has created a challenge for investors in selecting suitable options based on their investment needs, prompting several public fund institutions to report ETF-FOF products to address this issue [1][5]. Group 1: ETF-FOF Product Advantages - ETF-FOF products are recognized for their higher capital efficiency, lower fee rates, and the ability to disclose valuations on a "T+1" basis, unlike traditional FOF products which face issues like delayed valuations and double fees [3][4]. - The ETF-FOF strategy requires public fund institutions to enhance their macroeconomic research, market analysis, and asset allocation capabilities, combining both quantitative and qualitative approaches for effective asset allocation [1][6][7]. Group 2: Recent Developments and Offerings - Several public fund institutions, including China Europe Fund and Ping An Fund, have reported ETF-FOF products this year, such as the China Europe Active Multi-Asset 3-Month Holding Mixed Fund and the Ping An Yingxuan 90-Day Holding Bond Fund [2][3]. - The China Europe Active Multi-Asset 3-Month Holding Mixed Fund has been approved and started sales on May 13, with over 80% of its assets allocated to other public funds, including ETFs [3]. Group 3: Market Context and Challenges - The expansion of ETF products has provided a fertile ground for the development of ETF-FOF strategies, although existing FOF products have struggled to grow in scale, often remaining below 200 million yuan due to market adjustments in recent years [4][5]. - The current low valuation of the equity market and the rapid expansion of domestic ETF products across various categories may present a window of opportunity for ETF-FOF strategies to offer diversified asset allocation and better investment experiences [5][6].