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质量ETF中金(515910)涨1.35%,半日成交额103.38万元
Xin Lang Cai Jing· 2026-02-25 03:39
声明:市场有风险,投资需谨慎。本文基于第三方数据库自动发布,不代表新浪财经观点,任何在本文 出现的信息均只作为参考,不构成个人投资建议。如有出入请以实际公告为准。如有疑问,请联系 biz@staff.sina.com.cn。 2月25日,截止午间收盘,质量ETF中金(515910)涨1.35%,报0.678元,成交额103.38万元。质量ETF 中金(515910)重仓股方面,中际旭创截止午盘涨2.17%,紫金矿业涨2.19%,新易盛涨3.38%,贵州茅 台涨2.59%,工业富联涨3.68%,五粮液涨0.84%,洛阳钼业涨4.11%,阳光电源涨2.57%,北方华创涨 1.91%,美的集团涨0.87%。 质量ETF中金(515910)业绩比较基准为MSCI中国A股国际质量指数收益率,管理人为中金基金管理有 限公司,基金经理为耿帅军,成立(2021-01-21)以来回报为-33.12%,近一个月回报为1.24%。 来源:新浪基金∞工作室 ...
未知机构:涨价石油准油股份洲际油气涨价MLCC风华高科涨价白银-20260225
未知机构· 2026-02-25 03:25
涨价-石油:准油股份、洲际油气 涨价-MLCC:风华高科 涨价-白银:湖南白银 涨价-玻璃纤维:山东玻纤 涨价-钛白粉:金浦钛业 磷化工:澄星股份 伊朗资源:金瑞矿业、金牛化工 金刚石散热:黄河旋风、四方达 电力电网:汉缆股份、保变电气 军工:亚星锚链 英伟达将于北京时间2月26日周四凌晨发布2026财年第四季度(截至1月)财报。 Ak 涨价-石油:准油股份、洲际油气 涨价-MLCC:风华高科 涨价-白银:湖南白银 涨价-玻璃纤维:山东玻纤 涨价-钛白粉:金浦钛业 磷化工:澄星股份 伊朗资源:金瑞矿业、金牛化工 金刚石散热:黄河旋风、四方达 电力电网:汉缆股份、保变电气 军工:亚星锚链 英伟达将于北京时间2月26日周四凌晨发布2026财年第四季度(截至1月)财报。 Akash Systems宣布,已向印度主权云服务商NxtGenAI Pvt Ltd交付全球首批搭载 Diamond Cooling技术的英伟达GPU 服务器。 这批服务器基于NVIDIAH200平台,是全球首次将"金刚石导热技术"正式部署于商用AI服务器体系,标志着金刚石 散热技术从实验室走向产业化应用。 英伟达概念:中际旭创、新易盛、英维克、胜 ...
千问3.5登顶Hugging Face,AI人工智能ETF(512930)近4日“吸金”1.25亿
Xin Lang Cai Jing· 2026-02-25 01:49
截至2026年2月25日 09:32,中证人工智能主题指数(930713)下跌0.30%。成分股方面涨跌互现,星宸科 技领涨4.17%,协创数据上涨1.23%,拓维信息上涨1.21%;芯原股份领跌4.09%,昆仑万维(维权)下 跌2.75%,北京君正下跌2.47%。AI人工智能ETF(512930)下跌0.40%,最新报价2.27元。 资金流入方面,AI人工智能ETF最新资金净流入3194.73万元。拉长时间看,近4个交易日内有3日资金 净流入,合计"吸金"1.25亿元,日均净流入达3118.97万元。(数据来源:Wind) 上个马年沪指涨近60%!新年新福利来了,炒股排面要拉满,新号启幸运>> 消息面上,全球最大AI开源社区Hugging Face公布新一期开源大模型榜单,阿里最新开源的原生多模态 模型千问3.5登顶全球榜首。在最新一期Hugging Face模型榜单前十中,有8款来自中国团队,涵盖阿里 巴巴、智谱、MiniMax、月之暗面等多家机构。 中信证券研报指出,2026春节期间,国产大模型token调用量井喷,截至2月22日此前一周的全球大模型 token用量中,前三甲均为国产大模型。token的 ...
495股获融资买入超亿元,中际旭创获买入29.79亿元居首
Di Yi Cai Jing· 2026-02-25 01:22
从融资净买入金额来看,有84只个股获融资净买入超亿元。其中,中际旭创、金山办公、中国巨石融资 净买入金额排名前三,分别获净买入10.03亿元、3.89亿元、3.82亿元。 从融资买入额占当日总成交金额比重来看,有9只个股融资买入额占比超30%。其中安旭生物、威高骨 科、豫能控股融资买入额占成交额比重排名前三,分别为39.58%、36.16%、35.56%。 Wind数据显示,A股2月24日共有3777只个股获融资资金买入,有495股买入金额超亿元。其中,中际旭 创、新易盛、润泽科技融资买入金额排名前三,分别获买入29.79亿元、25.08亿元、16.68亿元。 ...
成都 向下一个万亿产业挺进
Mei Ri Jing Ji Xin Wen· 2026-02-24 16:27
产业高质量发展,不出意外再度成为各地节后第一天的"关键词" 从省份来看,广东连续四年将高质量发展大会作为"新春第一会",今年聚焦制造业和服务业协同发展; 浙江则再次将"高质量发展建设共同富裕示范区"作为主题,以求回答"推动发展红利惠及千家万户"之 问。 作为省内"领头羊",不少经济强市也已开跑。将冲刺"全国增长极"作为目标的成都,"新春第一会"同样 剑指高质量发展,又颇具特色——2月24日,成都召开推进重点产业链高质量发展工作会议,以重点产 业链建圈强链破题,无疑为高质量发展锚定了更为具体的承载。 推动成都能级提升,重点产业链作用不容小觑。去年,成都GDP达到2.48万亿元、增长5.8%,在近2.5 万亿元的经济体量上实现"高位增长";其中,产业突围格外引人瞩目:成都在2个万亿级产业集群的基 础上,千亿级产业链增至13条,同时,国家先进制造业集群、国家中小企业特色产业集群数量均位居副 省级城市第二。 会上,成都亮出目标:今年作为"十五五"规划开局之年,成都将推动4条产业链迈上新的千亿台阶,其 中软件和信息服务业营收突破9000亿元。由此,成都将向第三个万亿产业集群挺进。站上新起点、面对 新挑战,成都将如何谋局 ...
2/24财经夜宵:得知基金净值排名及选基策略,赶紧告知大家
Sou Hu Cai Jing· 2026-02-24 15:39
Group 1 - The article provides an objective ranking of open-end fund net values, highlighting the top and bottom performers without subjective bias [1] - The top 10 funds with the highest net value growth include Wanji Cycle Vision Stock Initiation C, Wanji Cycle Vision Stock Initiation A, and Huaxia Digital Industry Mixed A, among others, with growth rates ranging from 5.80% to 7.40% [2] - The bottom 10 funds with the lowest net value growth include Qianhai Kaiyuan Artificial Intelligence Theme Mixed C and A, with declines ranging from -6.42% to -8.04% [4] Group 2 - The Shanghai Composite Index opened high and experienced a narrow range of fluctuations, with a total transaction volume of 2.21 trillion, and a stock rise-to-fall ratio of 4006:1392 [6] - Leading sectors included oil and building materials, with gains exceeding 4%, while media, entertainment, tourism, and internet sectors saw declines of over 2% [6] - The fund with the fastest net value growth is Huaxia Digital Industry Mixed A, while the fund with the poorest performance is Qianhai Kaiyuan Artificial Intelligence Theme Mixed C [6][8] Group 3 - The top holdings of the funds show a concentration in the technology and communication sectors, with significant daily gains in stocks like Shengyi Technology and Zhongji Xuchuang [7][8] - The top ten holdings account for 72.99% of the total holdings in one fund, indicating a strong focus on specific sectors, particularly in artificial intelligence [7] - Another fund shows a top holding concentration of 61.18%, with notable daily gains in stocks like Changfei Optical Fiber and Zhongji Xuchuang, suggesting a shift in investment strategy [8]
成都这两个“国字号”产业集群数量居副省级城市首位
Xin Lang Cai Jing· 2026-02-24 15:14
Core Insights - Chengdu has established two trillion-level industrial clusters, 13 hundred-billion-level industrial chains, and 14 hundred-billion-level parks, leading among vice-provincial cities in terms of national advanced manufacturing clusters and national characteristic industrial clusters for small and medium-sized enterprises [1] - The city has adopted a "one enterprise leads one chain, one chain forms a cluster" model to support the development of its "9+9+10" modern industrial system, with the total output value of 13 manufacturing industrial chains accounting for over 70% of the industrial output value, showing a year-on-year growth of 12.1% [1] - By 2025, Chengdu plans to attract 380 major projects, accelerate the construction of 303 key projects, and complete an annual investment of 110 billion yuan [1] Group 1 - Chengdu's manufacturing industrial chains have five chains with comprehensive strength ranking in the top five nationwide [1] - The city has seen breakthroughs in brand building with notable companies emerging, such as Xin Yisheng and Bai Li Tianheng, alongside popular products and parks like Nezha IP and Tianfu Changdao [1] - Chengdu has established 141 pilot platforms for technology and industry integration, implementing 135 key core technology projects [1] Group 2 - In 2026, Chengdu will focus on eight major tasks, including cultivating business entities, promoting major projects, and enhancing technology-industry integration [2] - The city aims to cultivate over 80 specialized and innovative "little giants" and more than 300 "tomorrow stars" through a structured enterprise cultivation program [2] - Chengdu plans to introduce over 550 major industrialization projects and accelerate the construction of over 450 key projects, with an annual investment target exceeding 149 billion yuan [2]
存储供需错配仍将延续-产业链公司持续受益-存储巨头与台股2025年2026年1月经营总结
2026-02-24 14:16
存储供需错配仍将延续,产业链公司持续受益 ——存储巨 头与台股 2025 年 2026 年 1 月经营总结 20260223 摘要 存储产品价格自 2025 年以来显著上涨,DRAM 价格涨幅达三倍。尽管 涨势趋稳,但市场寡头垄断格局预示未来价格将维持高位,难以回落至 历史低点,对模组厂成本控制构成挑战。 存储巨头扩产面临物理性能瓶颈,HBM 后端验证周期长达一年半,洁净 室空间不足亦构成制约。从建厂到量产需两到三年,限制了短期内高端 产品供给的爆发性增长。 预计 2026 年 DRAM 和 NAND 供需缺口将达峰值,分别为负 4.9%和负 4.2%,主要受 AI 需求和 CSP 厂商资本支出驱动。2027 年底,中国厂 商扩产有望缓解供需紧张,2028 年供给状况或将改善。 台企受益于 AI 需求和存储市场结构调整,业绩显著增长。南亚科收入连 续五个月增长,同比增幅达 608%;华邦电营收创新高并计划扩产 NAND Flash;威刚 1 月营收同比增长 200%。 2025 年存储行业整体营收同比增长 8.09%,达 145.76 亿新台币。三 大巨头削减产能,供应链呈现多点开花局面。QLC 在服务器中应 ...
CPONPO行业加速落地-如何看待节后投资机会
2026-02-24 14:15
Summary of Conference Call on CPU Industry and CPO Technology Industry Overview - The conference call focuses on the CPU industry and the advancements in CPO (Co-Packaged Optics) technology, driven by the increasing demand for AI computing power and the introduction of Nvidia's Rubin Ultra chip architecture [1][4][6]. Key Points and Arguments - **CPO Technology Development**: CPO switches are expected to address data center computing power bottlenecks, with energy consumption reduced by 20%-40% [1]. TSMC's CPO switch yield has improved to 30%, laying the groundwork for mass production [1][4]. - **Market Growth Projections**: Global CPU switch production is expected to be revised upwards to 20,000-30,000 units in 2026 and reach 100,000-150,000 units in 2027, driven by new market demands for in-cabinet optical communication [2][17]. - **Industry Dynamics**: The current cycle of CPU industry speculation is fundamentally different from previous years, as it is driven by industrial logic rather than mere market expectations. The transition from anticipation to actual orders and performance is underway [3][4]. - **Technological Drivers**: The demand for higher bandwidth and transmission efficiency from Nvidia's Rubin Ultra is accelerating the application of CPU technology [4][6]. The integration of ASIC chips and optical modules in CPO switches enhances system performance and reduces energy consumption significantly [8][10]. Potential Investment Opportunities - **Core Companies to Watch**: Recommended companies include Tianfu Communication, Juchuang Technology, Zhishang, Yuanjie, Guangku, and Shijia, which are well-positioned to benefit from the accelerated development of the CPU industry [7][16]. - **Chinese Companies' Growth Potential**: Chinese firms like Tianfu Communication and Xinyisheng are expected to gain market share in the assembly of optical engines and passive components as CPU production ramps up [12][15]. Additional Insights - **Cost Structure of Nvidia's Quantum X Switch**: The market price is approximately $120,000, with assembly costs around $60,000, where the optical engine system accounts for over 50% of the total cost [13][18]. - **NPO vs. CPO**: NPO (Next-Generation Pluggable Optics) is seen as a more stable alternative to CPO, likely to be adopted first due to its design that allows for easier integration while maintaining system stability [20][21]. - **Market Sentiment**: There is a strong belief that companies like Xuchuang and Xinyisheng will see significant growth due to their positioning in the new in-cabinet optical communication market, which is expected to provide substantial performance elasticity [22]. This summary encapsulates the critical insights from the conference call regarding the CPU industry and CPO technology, highlighting the expected growth, technological advancements, and potential investment opportunities.
春节AI综述-大模型-CPO与光纤光缆
2026-02-24 14:15
Summary of Key Points from Conference Call Industry Overview - The conference call primarily discusses the **AI**, **CPU**, and **optical fiber communication** industries, highlighting the performance of companies like **Lumentum**, **长飞 (Changfei)**, and **亨通 (Hengtong)** during the 2026 Spring Festival period [1][2]. Core Insights and Arguments - **AI and Agent Technology**: The application of Agent technology is driving demand for personal terminal devices, with significant updates from major players like **字节跳动 (ByteDance)** and **阿里巴巴 (Alibaba)**, as well as overseas models like **GPT-3.1** and **Cloud 4.6** [2]. - **CPU Market Performance**: Companies in the CPU sector, particularly **Lumentum**, have shown strong performance despite challenges in the market, with expectations for rationality as new product launches approach [2]. - **Optical Fiber Communication Growth**: Companies like **长飞** and **亨通** are benefiting from domestic infrastructure projects and global division of labor, with high-end product exports contributing to growth potential [1][2]. - **CPO Technology Impact**: CPO technology has a limited impact on power consumption reduction (2%-4%), and the stability of AI infrastructure is deemed crucial for large capital expenditure projects [7][8]. - **NPU Adoption**: The NPU (Network Processing Unit) solution is expected to gain traction, potentially increasing shipment volumes significantly by 2027 [9]. Emerging Trends - **Cabinet Market Dynamics**: The optical communication field is seeing a shift towards low-power, high-efficiency optical interconnection solutions, with CPU and NPU becoming mainstream choices [3]. - **Silicon Photonics Development**: Companies like **新易盛 (NewEase)** are advancing in silicon photonics, with the potential for large-scale production of core components [11][12]. - **Challenges in Silicon-Based Technology**: The industry faces challenges related to light emission, heat control, and signal modulation, necessitating collaboration across the supply chain [13]. Market Opportunities - The optical communication market is viewed as a growth opportunity for both established and emerging companies, with various regions (Mainland China, Taiwan, North America) having unique advantages [5]. - A-share companies in the optical communication sector are considered to have investment value, particularly in the context of an expanding market [6]. Additional Insights - **AI Application Penetration**: Currently, only about 0.01% of the population is paying for AI services, but this is expected to grow rapidly with advancements in model capabilities [16]. - **User Behavior Changes**: There is a notable shift in user behavior from app engagement to API interactions via agents, leading to increased uncertainty in software ecosystems [17]. - **Domestic Inference Computing Limitations**: Domestic inference computing is currently insufficient to meet the demand for agent overflow, highlighting a need for improved infrastructure [19]. - **Future AI Trends**: The proliferation of personal agents is anticipated to lead to exponential growth in token consumption and hardware demand, particularly for GPUs [20][21].