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万亿巨头,涨停,“两连板”
Zhong Guo Zheng Quan Bao· 2025-09-11 04:57
Core Viewpoint - The emergence of a new combination in the computing power sector, referred to as "Dagu Wen Chain," has led to significant gains in related stocks, driven by market sentiment and positive news from major tech companies [1][5]. Group 1: Market Performance - The computing power sector saw a substantial rise, with major stocks like Shenghong Technology, Xinyi Sheng, and Industrial Fulian reaching historical highs [1][4]. - The A-share market's trading volume was dominated by technology stocks, with several companies exceeding 10 billion yuan in trading volume [1][3]. - The Shanghai Composite Index rose by 1.12%, the Shenzhen Component Index increased by 2.63%, and the ChiNext Index surged by 4.31% [3]. Group 2: Stock Highlights - Shenghong Technology (300476) increased by 8.36%, reaching a historical high [2]. - Industrial Fulian (601138) hit the daily limit and achieved a market value of 1.17 trillion yuan [2]. - Haiguang Information (688041) experienced a 20% increase, also reaching a historical high [2]. Group 3: Catalysts for Growth - The rise in the computing power sector was supported by the overnight performance of major U.S. tech stocks, including Oracle, Broadcom, and NVIDIA, with Oracle's stock rising over 35% [5]. - The upcoming 26th China International Optoelectronic Expo (CIOE) is expected to attract significant attention, showcasing over 3,800 exhibitors from more than 30 countries [5]. - Analysts suggest that ongoing capital expenditure from both overseas tech giants and domestic cloud service providers will continue to support the computing power sector's growth [5]. Group 4: Investment Opportunities - Analysts from GF Securities recommend focusing on investment opportunities in leading optical module stocks, as tech giants are expected to increase their computing power investments [6]. - The demand for ASIC (Application-Specific Integrated Circuit) is anticipated to grow significantly, reinforcing the importance of connectivity within computing clusters [6].