A股三大指数今日集体下跌，截至收盘，上证指数跌0.65%，深证成指跌1.76%，创业板指跌2.6%。 沪深京三市全天成交额21661亿元，较上日缩量2257亿元。全市场超3400只个股下跌。板块题材上，风 电设备、化学纤维、农化制品、大豆、纺织制造、军工装备板块涨幅居前；游戏、算力硬件、光刻机、 消费电子板块跌幅居前。 （责任编辑：刘畅 ） 【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 ETF方面，博时基金全指现金流ETF基金涨4.6%，最新溢折率为3.68%。港股金融股飘红，华夏基 金港股通金融ETF和广发基金港股通非银ETF分别涨1.36%和1.01%。红利策略ETF表现活跃，摩根基金 港股红利指数ETF、景顺长城基金港股红利低波ETF分别涨1.3%、1.15%。 AI应用端回调居前，游戏ETF、游戏ETF华泰柏瑞均跌4%。云计算板块全线跌幅居前，数据ETF、 云计算ETF广发均跌5%。算力板块全线 ...

Core Viewpoint - The cloud gaming industry continues to lead the market, with significant gains in the information security and big data sectors, as evidenced by the performance of related ETFs [1] Group 1: ETF Performance - Several ETFs related to big data have shown a half-day increase of over 1%, with specific ETFs like the Information Security ETF (159613) and the Big Data Industry ETF (516700) rising by 1.59% and 1.51% respectively [2][3] - The Information Security ETFs (159613 and 562920) have small scales, with half-day trading volumes below 10 million yuan, tracking the CSI Information Security Theme Index [3] Group 2: Index Composition - The CSI Information Security Theme Index includes listed companies involved in information security technology, products, and services, reflecting the overall performance of securities in the information security sector [4] - Major stocks in the CSI Information Security Theme Index include Inspur Information (5.78%), Unisoc (5.39%), and Hikvision (5.02%) [5] Group 3: Big Data Sector - The Big Data Industry ETF (516700), Big Data ETF (515400), and Data ETF (516000) also experienced gains exceeding 1%, with the Big Data ETF (515400) having a large scale of 2.3 billion shares and a half-day trading volume of 96.73 million yuan [6] - The CSI Big Data Industry Index selects companies involved in big data storage, analysis, operations, and applications, reflecting the overall performance of securities in the big data sector [6][7] - Key stocks in the CSI Big Data Industry Index include iFlytek (9.23%), Inspur Information (8.72%), and Unisoc (6.22%) [7]

Group 1 - The A-share market opened slightly lower on May 26, but the CSI Big Data Industry Index saw a strong increase of 1.35%, with constituent stocks like China Great Wall rising by 3.69% and Shiji Information by 3.13% [1] - The Data ETF (516000) rose by 1.36%, reaching a latest price of 0.89 yuan, and has accumulated a 30.71% increase over the past year, ranking first among comparable funds [1] - The Data ETF experienced a turnover of 2.39% with a transaction volume of 9.9744 million yuan, and has seen continuous net inflows over the past three days, totaling 8.0574 million yuan [1] Group 2 - On May 25, the domestic CPU leader Haiguang Information announced a stock swap merger with the server giant Zhongke Shuguang, valued at 90.5 billion yuan, with both companies' A-shares suspended from trading starting May 26 [2] - The merger aims to optimize the industrial layout from chips to software and systems, enhancing the integration capabilities of Zhongke Shuguang and promoting the large-scale application of domestic chips in key industries [2] - Industry expert Jiang Guowen stated that a successful merger would create a full-chain capability of "chip + complete machine + computing power services" [2] Group 3 - The Data ETF (516000) and its linked funds closely track the CSI Big Data Industry Index, focusing on popular sectors such as DeepSeek, AI computing power, and the Hongmeng industrial chain, covering stocks like iFlytek and Zhongke Shuguang [3]

Core Viewpoint - The Zhongzheng Big Data Industry Index (930902) has shown strong performance, with significant increases in constituent stocks and a notable rise in the Data ETF (516000) [3][4]. Performance Summary - As of May 9, 2025, the Data ETF has achieved a net value increase of 35.62% over the past three years, ranking first among comparable funds [4]. - The Data ETF's highest single-month return since inception was 31.45%, with an average monthly return of 8.34% and a year-to-date profit percentage of 66.67% [4]. - The Data ETF has a Sharpe ratio of 1.05 for the past year, indicating the highest return for the same level of risk among comparable funds [4]. - The Data ETF has the lowest management fee rate of 0.50% and a custody fee rate of 0.10% among comparable funds [4]. Trading Activity - The Data ETF experienced a trading volume of 1.65% with a total transaction value of 6.96 million yuan on the latest trading day [3]. - Over the past week, the average daily transaction value for the Data ETF was 23.82 million yuan [3]. Fund Flows - The Data ETF has seen a net outflow of 1.87 million yuan recently, but it attracted a total of 11.64 million yuan over the last four trading days [3]. Index Composition - The top ten weighted stocks in the Zhongzheng Big Data Industry Index account for 50.19% of the index, with notable companies including iFlytek (002230) and Inspur Information (000977) [5][7].

Group 1 - The Shanghai Stock Exchange Sci-Tech Innovation Board Composite Index rose by 0.34%, with significant gains in constituent stocks such as Jingjin Electric, which hit the daily limit, and others like Xinxiangwei, China Electric Research, and Weidao Nano showing increases of 12.76%, 11.45%, and 10.78% respectively [1] - The Huaxia Sci-Tech Innovation Index ETF (589000) increased by 0.43%, with the latest price reported at 0.93 yuan [1] - The trading volume of the Huaxia Sci-Tech Innovation Index ETF reached 1.25 billion yuan, with a turnover rate of 3.38% [1] Group 2 - The Huaxia Sci-Tech Innovation Index ETF has achieved a recent scale of 3.693 billion yuan, leading among similar products [2] - Over the past 13 days, the Huaxia Sci-Tech Innovation Index ETF has seen continuous net inflows, with a peak single-day net inflow of 1.361 billion yuan, totaling 2.908 billion yuan in net inflows, averaging 224 million yuan daily [1] - The recent release of 70 demonstration scenarios for public data utilization aims to accelerate the development of data products and services, enhancing market-oriented operations in the data industry [2]