供应链端：千循科技筑牢标准化再生算力资产根基作为循环经济标杆企业，千循科技及其合作伙伴拥有成熟的全球逆向物流网络、标准化工业级再制造工艺 及全球化分销渠道。千循科技将依托全球电子产品供应链网络，针对头部互联网企业及超算中心退役的GPU服务器、高密度存储阵列等高价值算力资产建立 定向回收机制；通过深度清洁、组件级维修、核心部件(CPU/GPU/内存)压力测试及固件升级，确保设备性能恢复至行业较高水准；同时搭建设备全生命周 期数字档案，完成资产定级与残值评估，为后续运营及资本运作提供精准数据支撑，实现再生算力资产的标准化、规模化供给。 运营端：华章数据以高标准技术能力保障再生算力高效运行华章数据作为国内头部数据中心基础设施服务商，针对再生算力设备的非标化、高功耗等特征， 华章数据将提供定制化机柜资源，并针对性优化气流组织与配电架构；其自研的"冰山魔方"微模块集成创新解决方案，结合冷站设计等创新技术，可使年运 行效率提高20%~50%，相比传统制冷方案，占地面积节省三分之一、建设周期缩短一半，大幅降低空调系统运行与维护成本。同时，华章数据打造了适配 超级计算机与人工智能应用的专业算力基座，延伸分布式计算与边缘计算能 ...

证券日报网讯2月25日，领益智造（002600）在互动平台回答投资者提问时表示，公司已于2026年1月以 8.75亿元现金收购结合表决权委托取得了对立敏达的控制权，立敏达已正式成为公司控股子公司并纳入 合并报表范围。立敏达主营业务包括服务器液冷快拆连接器(UQD)、液冷歧管(Manifold)、单相液冷散 热模组(服务器液冷板LiquidCoolingPlate及光模块冷板)、相变液冷散热模组、服务器均热板(VC和 3DVC)等热管理核心硬件产品，以及母线排(Busbar)、服务器机架等，立敏达已经成为北美算力行业头 部客户的核心供应商(RVL/AVL)并持续批量交付。本次收购事项有利于促进公司快速获得北美算力行业 头部客户服务器液冷散热业务的技术储备与客户认证资质，降低服务器电源相关产品的开发成本和产品 验证周期，丰富公司服务器板块的产品矩阵，提升公司AI硬件服务器板块的业务规模和盈利能力。 ...

证券代码：002565 证券简称：顺灏股份 上海顺灏新材料科技股份有限公司投资者关系活动记录表 编号：2026-004 | 投资者关系活动类别 | □特定对象调研 □分析师会议 | | --- | --- | | | □媒体采访 □业绩说明会 | | | □新闻发布会 □路演活动 | | | □现场参观 | | | 其他 西部证券策略会 ☑ | | 参与单位名称与姓名 | 西部证券 温晓、张秋明；太平资产 朱云、郑涛；富国基金 徐鸿 博；瑞银基金 李耀徽；天弘基金 张秀磊；华富基金 黄星霖；野 | | | 村东方资管 黄佳斌；山西证券资管 薛淏天；西部证券自营 朱镭； | | | 诺鼎资产 曾宪钊；中金资管 韩诚；湘财基金 姜申；远希基金 周 | | | 文强；弥远投资 许鹏飞；北大方正人寿 付丹婷 | | 时间 | 2026 年 2 月 25 日（星期三）13:00-16:30 | | 地点 | 上海凯宾斯基大酒店 | | 上市公司接待人员姓 | 董事会秘书兼副总裁：杜云波先生 | | 名 | 证券事务代表：周晓峰先生 | | | 一、杜云波先生介绍公司整体业务情况和太空算力业务情况 | | | 公司坚持" ...

在经历了春节长假的休整之后，2月24日A股市场量价齐升，资金入场意愿较为强烈。 与此同时，结构性分化的暗流也在涌动。油气、有色、化工等资源品板块全线走强，影视院线、AI应 用等题材则显著回调。这种"冰火两重天"的格局，使得A股在马年的平稳开局中暗藏分歧。多家一线私 募机构在接受中国证券报记者采访时表示，马年A股首日走势验证了节前的乐观预期，但市场主线也在 逐步切换，投资者需要在"科技"与"资源"的双线逻辑中重新校准攻守节奏。 ● 本报记者 王辉 马科伟同样坚持"左手高质量成长、右手大空间赛道"的均衡思路。他认为，近期海外科技股的震荡反映 出市场对AI的审视正从"讲故事"转向"看业绩"。国内投资机会将更聚焦于能够看到实际订单、具备明确 商业化路径的细分领域，如机器人和国产算力。在地缘风险支撑下，叠加全球流动性宽松预期，贵金 属、石油、有色、化工等资源品板块当前具备持续的上涨驱动力。 也有机构显现出谨慎态度。宝晓辉坦言，她更看好有色金属与石油能源板块的阶段性投资机会，对科技 板块则保持相对谨慎。"科技板块近期震荡幅度偏大，多空分歧突出。虽然长期来看，科技赛道依然是 优质方向，但不适合在当前阶段重仓参与。"宝晓辉表 ...

据交易所数据显示， 罗曼股份连续两个交易日涨停，晋级2连板。该股今日于10：23封涨停，成交额 9.45亿元，换手率9.12%。金融界App AI线索挖掘：公司在 算力领域，控股子公司签订算力设备合同； 液冷 服务器领域，已锁定意向订单且技术领先； 风电EPC领域，签订首个风电总包项目。相关概念的 活跃带动了该股的表现。 风险提示：连板股波动剧烈，注意追高风险，理性投资！（注：以上由AI基 于交易所等公开数据生成，内容不构成投资建议。） ...

Core Viewpoint - The probability of a positive market opening in the A-share market is high, supported by historical data and upcoming policy expectations [3]. Group 1: Market Trends - The first trading day of the Year of the Horse is approaching, with mixed sentiments in the market. While the Hang Seng Technology Index has risen by 3%, certain sectors like robotics and AI have seen declines [1]. - Historical data shows a 60% chance of an increase on the first trading day after the holiday, rising to 70% over the next five days and remaining at 70% over ten days [3]. Group 2: Sector Focus - There has been a shift in investment from high-valuation technology stocks to defensive sectors like banking and food and beverage prior to the holiday, indicating a "pre-holiday risk aversion" [4]. - Post-holiday, there is an expectation for funds to return to growth sectors with industrial catalysts and performance support, particularly in technology and domestic demand [4]. - Key areas of focus include technology growth stocks with solid orders and performance, such as core components in computing and robotics, as well as domestic demand sectors like chemicals, non-ferrous metals, and construction materials, which may experience a "value return" this year [5]. Group 3: Investment Strategies - Recommendations include reviewing current holdings, particularly those without performance backing, and adjusting positions during market rebounds [6]. - Investors are advised not to chase high openings and to look for buying opportunities during market fluctuations [7]. - Establishing a dual strategy focusing on technology growth and domestic demand is suggested for a more stable investment approach [7].

Market Outlook - The A-share market is expected to experience a low-volatility trend with a long-term decline in market volatility [2] - The upward trend in the stock market is not yet over, indicating further potential for growth [2] - A-shares are anticipated to maintain a fluctuating upward trend, with the importance of fundamentals increasing after a valuation adjustment [2][3] Capital Flow - The demand for asset allocation among domestic residents has been activated by profit effects, with various medium- to long-term funds entering the market, suggesting an active capital flow in 2026 [2][3] - Incremental capital is expected to cover a broader range, driven by increasing motivation among individual investors to enter the market [3] - Public funds and insurance capital are likely to continue increasing their allocation to equity assets, reshaping global capital flow logic [4] Key Investment Sectors - Key sectors to focus on include: - Non-ferrous metals, chemicals, and new energy [2] - Technology growth, manufacturing expansion, cyclical consumption transformation, and U.S. stocks [2] - New energy, non-ferrous metals, basic chemicals, oil and petrochemicals, non-bank financials, military industry, and machinery [3] - AI, new energy, military industry, innovative pharmaceuticals, price increase chains, and overseas expansion chains [4] - Technology innovation themes and consumption sectors [4] - TMT and advanced manufacturing sectors, with potential shifts towards cyclical and financial sectors [4]

提起这一地名，本地有"新郑不新"之说，春秋时期郑国迁都于此，相对旧都故称"新郑"。但这片土地又 不断创造着新事物，她见证了2700多年前那次新旧"国际秩序"交替的开端，因此中学课文中大家所熟知 的《左传》开篇故事就发生在这里。此后，这里走出了战国时期变法图强的理论先驱韩非子、唐代诗歌 革新运动旗手白居易、明末为张居正改革提前铺垫的高拱（影视剧《大明王朝1566》中的高阁老原 型）…… 开拓创新因而也一直刻在河南人民的基因里。当今在"新消费"和"新质生产力"领域勇立潮头的创业者 们，正立足河南、走向世界。 一、河南新消费三杰：胖东来、蜜雪、泡泡玛特 炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 作者：申万宏源策略冯彧 前方从中原大地发来马年祝福~ 今年春节回到河南省新郑市。来豫的投资人可能并不陌生，大多第一站会落地郑州新郑国际机场。这次 我也从这里开启"老家河南"之旅。 从舌尖上的性价比到情绪消费，三个河南人掌控了中国年轻人的吃喝玩乐。 新年腊月二十八，正是居民采买年货旺季。为应对客流压力，胖东来许昌时代广场店开启"迪士尼"模 式：外墙大屏幕上清晰地列示功能分区，商场和超市进行分隔管 ...

Group 1: AI Applications - The global AI competition is intensifying, with model iterations driving deeper application scenarios, and the focus is on whether significant capital expenditures by tech giants can lead to commercial applications [2][3] - The competitive landscape for AI applications is shifting from dominance by OpenAI to a more multipolar environment, with major players like Google and Meta integrating AI into their ecosystems [3] - In China, AI applications are experiencing a breakthrough, with major tech companies accelerating model iterations and application deployments, leading to a transformation from model landing to scenario monetization [5] Group 2: AI Computing Power - Overseas, major cloud service providers are maintaining high capital expenditures, with a projected increase of 67% in 2026, reflecting a strong demand for AI computing power [7][8] - In China, leading tech companies are increasing capital expenditures and accelerating the iteration of domestic large models, promoting the performance of domestic chips amid tightening supply from foreign sources [9] Group 3: Storage - The demand for storage is entering a new super cycle driven by AI training and inference needs, with AI servers consuming significantly more memory than traditional servers [11][16] - Supply constraints are expected to persist, leading to continued high prices for storage components, as major manufacturers shift production focus to advanced memory types [16] Group 4: Commercial Aerospace - Commercial aerospace is becoming a key battleground in US-China competition, with significant policy support and funding initiatives in both countries to accelerate industry development [19][21] - Domestic companies are achieving breakthroughs in satellite mass production and reusable rocket technologies, transitioning from technical validation to commercialization [22] Group 5: Humanoid Robots - Major overseas companies are ramping up production plans for humanoid robots, benefiting domestic component suppliers, with Tesla aiming for a production capacity of 500,000 units by 2026 [27][30] - Chinese manufacturers are leading in humanoid robot shipments, with significant contracts and production milestones achieved in 2025 [30] Group 6: Intelligent Driving - Domestic policies are expected to facilitate the commercialization of L3 autonomous driving in 2026, with several manufacturers preparing to launch L3 models [32][33] - Tesla's Full Self-Driving (FSD) technology is setting the direction for autonomous driving, with significant advancements in AI capabilities [35] Group 7: Energy Storage - The expansion of AI computing power in North America is driving electricity demand, with domestic power equipment expected to accelerate exports [37][40] - China's "14th Five-Year Plan" includes significant investments in the power grid and energy storage, creating a favorable environment for industry growth [40][43] Group 8: Chemicals - The chemical industry is undergoing a transformation driven by policies aimed at supply-side reform, with a focus on optimizing supply structures and reducing excess capacity [44][47] - New economic sectors are boosting demand for chemical materials, particularly in AI, renewable energy, and robotics, leading to a favorable outlook for new materials [47][48]

Core Viewpoint - The company, 灿谷, is experiencing a significant stock price increase and is transitioning its business towards AI computing power, supported by institutional investment [1][2]. Stock Performance - On January 5, 2026, 灿谷's stock price rose by 5.67% to $1.49 per share, with trading volume increasing to 470,084 shares. This follows a previous increase of 5.88% on December 30, 2025, likely driven by market expectations regarding the company's shift towards Bitcoin mining and AI computing [2]. Institutional Perspective - On December 30, 2025, Enduring Wealth Capital Limited (EWCL) increased its holdings in 灿谷's Class B common stock to approximately 36.68% voting power. EWCL plans to purchase additional shares to enhance resource integration in cryptocurrency mining and computing infrastructure, supporting the company's 50 EH/s computing operations and AI business expansion [3]. Strategic Advancement - According to the Q3 2025 financial report, 灿谷 is advancing a three-phase transformation path: "Mining - Energy - AI." The short-term plan involves entering the AI market through GPU computing power leasing, while the mid-term goal is to establish self-operated data center hubs. The long-term objective is to create a globally distributed AI computing network powered by green energy, with projects in Oman and Indonesia expected to materialize in the next 12-24 months. Additionally, the company plans to launch a high-performance computing (HPC) pilot project in the first half of 2026 to explore new scenarios for computing and energy synergy [4]. Financial Performance - In Q3 2025, 灿谷 reported total revenue of $224.6 million, a 60.6% increase quarter-over-quarter, with over 98% of revenue coming from Bitcoin mining. As of November 27, 2025, the company held approximately 6,902.5 Bitcoins, and its operational computing power increased to 46.09 EH/s, with an efficiency exceeding 92%, indicating a robust production capacity [5].