Core Insights - The competition in space computing between China and the US is accelerating, with significant developments in AI and space infrastructure [2][3][4] Group 1: Space Computing Developments - Elon Musk has proposed a vision for deploying AI computing centers in space within the next four to five years, aiming to deploy 100 GW of solar-powered AI satellites annually, which would represent a quarter of the total electricity consumption in the US [3] - Beijing has officially announced plans to construct a gigawatt-level space data center in the 700-800 km dawn-dusk orbit, consisting of three subsystems: space computing, relay transmission, and ground control [3] - The project will be executed in three phases: from 2025 to 2027, focusing on key technologies; from 2028 to 2030, emphasizing on-orbit assembly technology; and from 2031 to 2035, aiming for mass production and large-scale networking of satellites [3] Group 2: US Initiatives - The US government has launched the "Genesis Project," a national AI science initiative aimed at accelerating breakthroughs in basic science by integrating national research resources [4] - The project, initiated by an executive order signed by President Trump in November 2025, involves the Department of Energy consolidating resources from 17 national laboratories to create AI foundational models and automated experimental platforms [4] - The initiative includes a timeline for identifying approximately 20 national technology challenges within 60 days and demonstrating initial proof-of-concept results within 270 days, with collaboration from private sector companies like NVIDIA and AMD [4] Group 3: Chinese AI Innovations - Chinese companies are demonstrating full-stack technological capabilities in AI, rapidly advancing from application-level innovations to foundational theoretical breakthroughs [5] - Alibaba's AI assistant "Qwen" app achieved over 10 million downloads within a week of its public testing, making it the fastest-growing AI application globally, leveraging the open-source model Qwen3 [5] - DeepSeek has released an open-source mathematical reasoning model, DeepSeekMath-V2, with 685 billion parameters, achieving gold medal standards in international mathematics competitions, marking a significant milestone for open-source models [5]

Group 1: Fixed Income Research - The recent correlation between government bond futures and equity markets indicates a new phase, moving beyond the previous simple "see-saw" logic [3][4] - As of November 21, the 10-day correlation between TL contracts and the CSI 300 index has significantly increased to a historical high since July 2025, suggesting a complex relationship [3][4] - The future dynamics of government bond futures are expected to be influenced by equity market movements, indicating a potential for better resilience in bond futures if growth expectations change [4] Group 2: Computer Industry Research - The release of DeepSeek R1 in 2025 is anticipated to significantly enhance general model reasoning capabilities and reduce costs, marking a turning point for AI deployment in financial institutions [5][6] - AI applications are rapidly penetrating core business and back-office scenarios in various financial institutions, aiming to optimize internal operations and enhance external value [6][7] - Large financial institutions are focusing on private deployment of large models, while smaller institutions are pursuing cost-effective solutions for agile development [8] Group 3: Investment Recommendations - Recommended stocks in financial information services include Tonghuashun and Jiufang Zhitu Holdings, while third-party payment recommendations include Newland and New Guodu [6][7] - In the banking IT sector, recommended stocks include Yuxin Technology and Jingbeifang, with additional recommendations in securities IT and insurance IT sectors [7][8]

Core Viewpoint - CATL is expanding its focus from electric vehicles to a comprehensive "electric society," aiming to integrate green transportation across land, sea, and air, with a particular emphasis on the emerging low-altitude economy, projected to reach a market size of 4 trillion yuan by 2035 [1][2]. Group 1: Low-altitude Economy Development - The low-altitude economy is currently in its early development stage, facing several constraints that need to be addressed [1]. - CATL is motivated to expand its battery applications into this new sector, leveraging its position as an industry leader to reshape the low-altitude economy and enhance the integration of renewable energy technologies across various sectors [1][2]. Group 2: Innovative Solutions - CATL has introduced the world's first zero-carbon water airport designed specifically for eVTOL aircraft, which features a large deck for takeoff and landing, and a cabin serving as a waiting area and maintenance room [4][6]. - This water airport is powered by a solar energy and battery system, enabling rapid charging for eVTOLs and supporting all-weather operations [4][6]. Group 3: Infrastructure and Efficiency - The zero-carbon water airport addresses traditional low-altitude infrastructure challenges such as site selection, slow deployment, and heavy maintenance, significantly improving efficiency and reducing overall costs [6][8]. - The proposed "sea and air integration" solution aims to fill the gap in low-altitude smart infrastructure, potentially creating the most intelligent and green low-altitude infrastructure network globally within the next 5-10 years [8]. Group 4: Application Scenarios - The "sea and air integration" solution is designed to meet various application needs, including marine energy platform operations, high-frequency commuting, marine tourism, emergency rescue, and mobile airport cluster operations [11]. - Initial demonstrations have shown that eVTOLs can drastically reduce travel times to offshore wind farms and oil platforms, enhancing operational efficiency by over ten times [12]. Group 5: Future Prospects - CATL plans to establish a flexible network of vessels and eVTOLs that can adapt to seasonal demands and project requirements, providing a level of operational flexibility not achievable with traditional infrastructure [13]. - The introduction of the "sea and air integration" solution signifies CATL's expansion of battery products from land vehicles to low-altitude aviation, with the potential for large-scale application [14].

Investment Rating - The report suggests a positive investment outlook for the AI and financial services sector, highlighting the potential for significant advancements and cost reductions due to the release of DeepSeek R1 in 2025, which is expected to be a turning point for localized AI deployment in financial institutions [7]. Core Insights - AI applications are rapidly penetrating core business areas and back-office functions of various financial institutions, enhancing both internal efficiency and external value [1][7]. - The report identifies that most financial institutions are currently in the exploration and accumulation phase of AI application, with deep application being an inevitable trend [14]. - AI is expected to transform financial business processes and organizational structures, ushering in a new era of digital intelligence in finance [7]. Summary by Sections Investment Recommendations - The report recommends focusing on several sectors within the financial industry, including: 1. Financial information services with key stocks like Tonghuashun, Jiufang Zhitu Holdings, and Guiding Compass [8]. 2. Third-party payment services, recommending stocks such as Newland and Newguodu, with related stocks like Lakala [9]. 3. Banking IT, with recommended stocks including Yuxin Technology, Jingbeifang, and Guodian Yuntong [9]. 4. Securities IT, recommending stocks like Hengsheng Electronics and Jinzhen Shares [10]. 5. Insurance IT, with recommended stocks including Xinzhi Software and Zhongke Software [11]. Application Stages - Financial institutions' AI applications are categorized into three stages: 1. Initial exploration of large model applications. 2. Development of certain model application capabilities with data accumulation. 3. Achieving deep application of large models [14]. Application Value - AI applications provide value through: 1. Internal cost reduction and efficiency improvement, optimizing operational management and core business processes [21]. 2. External value extraction, enhancing marketing and customer service to improve sales conversion and customer value [21]. Application Pathways - Different types of financial institutions exhibit varied pathways for AI application deployment: 1. Large institutions leverage strong self-research capabilities for deep AI application penetration. 2. Smaller institutions focus on cost-effective solutions, utilizing lightweight models and integrated systems for agile development [26]. AI Empowerment in Banking - AI is enhancing front-office quality and efficiency, optimizing back-office processes across various banking functions [43]. - In credit risk management, AI models can analyze financial data to identify potential risks and improve decision-making processes [47]. AI Empowerment in Securities - The number of securities firms exploring large models is rapidly increasing, with applications extending across various business functions, including investment advisory and research [58][59].

11月23日，2025天使共创大会在上海举行。大会由上海科创金融研究院和上海天使会联合主办，以"策 源科技孵化.共建科创生态"为主题，就科创策源与生态共建展开研讨。 中国科学院院士、深圳零一学院创始校长、深圳清华大学研究院超滑技术研究所创办所长、清华大学钱 学森力学班创办首席教授、清华大学深圳国际研究生院教授郑泉水表示，全球科技与经济的集中趋势愈 发明显，真正推动新大陆（000997）出现的，是那些具有奇思妙想、敢于突破常规的"X型人才"。在他 看来，源头创新是一项系统工程，需要打造教育科技人才一体化的全生命周期闭环，期待与天使会一起 携手共创源头创新的中国范式。 上海交通大学讲席教授、绍兴新能源研究院院长、国家973计划首席科学家马紫峰以"新能源化工与电化 学工程"为题重点分享了新能源领域的产业化实践。他提到，新能源的核心是化工与电化学工程，并分 享了团队在磷酸铁锂电池、钠离子电池等领域的突破性成果。其中，上海交通大学在自主创新过程中给 予其团队非常大的支持，推动科技成果快速落地，形成了创新链与产业链的闭环。 大会现场还举行了天使共创孵化战略合作发布仪式。上海天使会与黄浦投控集团、黄浦科创集团、上海 科创集 ...

Core Insights - Newland Digital Technology Co., Ltd. has seen a stock price increase of 30.62% year-to-date, with a recent trading price of 25.78 CNY per share as of November 24 [1][2] - The company reported a revenue of 6.244 billion CNY for the first nine months of 2025, reflecting a year-on-year growth of 12.04%, and a net profit of 918 million CNY, also up by 12.15% [2] Financial Performance - As of November 24, Newland's market capitalization stands at 26.118 billion CNY, with a trading volume of 171 million CNY and a turnover rate of 0.66% [1] - The company has experienced a decline in stock price over the last five days (down 0.54%), twenty days (down 5.53%), and sixty days (down 15.45%) [1] - Newland has made a total of 2.694 billion CNY in dividends since its A-share listing, with 1.062 billion CNY distributed in the last three years [2] Shareholder Information - As of September 30, 2025, Newland has 70,500 shareholders, an increase of 3.69% from the previous period, with an average of 14,292 shares held per shareholder, down by 3.56% [2][3] - The second-largest shareholder is Hong Kong Central Clearing Limited, holding 34.9898 million shares, an increase of 10.6021 million shares from the previous period [3]

Investment Rating - The report maintains an "Overweight" rating for the computer sector, recommending specific stocks such as Wuxi Unicomp Technology, Kingsoft Office, Hand Enterprise, Hikvision, Newland Digital Technology, Autel Robotics, Hygon, and related target Dawning Information Industry [3][12]. Core Insights - Google has launched Gemini 3 and Nano Banana Pro, establishing a leading position in multimodal technology, while Tencent and Alibaba are promoting AI application accessibility through their respective platforms [3][12]. - The Chinese hard tech sector is witnessing significant capitalization with Moore Threads and Unitree Robotics advancing their IPO processes, marking an acceleration in AI computing power and robotics industrialization [3][12][15]. Summary by Sections Google’s Product Launches - Google released the Gemini 3 model on November 18, achieving top scores in math, reasoning, and multimodal understanding, surpassing competitors like GPT-5.1 and Claude Sonnet 4.5 [13]. - The Nano Banana Pro model enhances text rendering accuracy in images and supports generating professional-grade images up to 4K resolution, integrating with major creative software [13]. Chinese AI Application Ecosystem - The AI application ecosystem in China is advancing with significant developments in multimodal generation and general assistants, particularly from companies in Hangzhou [14]. - Alibaba launched the "Qianwen" App, expanding its AI strategy from B2B to B2C, while Ant Group introduced the "Lingguang" AI assistant for mobile applications [14]. Hard Tech Capitalization - Moore Threads is set to launch an IPO at RMB 114.28 per share, aiming to raise RMB 8 billion for AI training and inference chip development [15]. - Unitree Robotics is also progressing towards a domestic stock issue, with a product line that includes quadruped and humanoid robots [15].

Investment Rating - The report maintains an "Overweight" rating for the computer sector [4]. Core Insights - Google has achieved a breakthrough in multimodal technology with the release of Gemini 3 and Nano Banana Pro, establishing a leading advantage in multimodal applications. Tencent and Alibaba are promoting AI application accessibility, while domestic hard-tech companies like Moore Threads and Yushutech are advancing towards IPOs, marking a significant acceleration in the capitalization of hard technology assets [2][4]. Summary by Sections Investment Highlights - Google released Gemini 3, outperforming competitors like GPT-5.1 and Claude Sonnet 4.5 in tests related to mathematics, reasoning, and multimodal understanding. The Nano Banana Pro enhances text rendering accuracy in images and supports generating professional-grade images at up to 4K resolution. These products signify a complete technological layout from foundational models to professional application tools in generative AI [4]. - In China, significant advancements in AI application ecosystems have been noted, particularly in multimodal generation and general assistant fields. Alibaba launched the "Qianwen" app, while Ant Group introduced the "Lingguang" AI assistant, indicating a shift from B2B to B2C strategies. This development, alongside models like DeepSeek, creates a comprehensive AI application ecosystem in Hangzhou [4]. - The hard-tech sector in China is reaching a critical point of capitalization, with Moore Threads initiating an IPO at a price of 114.28 yuan per share, aiming to raise 8 billion yuan for AI training and inference chip development. Yushutech is also progressing towards a public offering, focusing on humanoid and quadruped robots [4]. Recommended Stocks - The report recommends the following stocks with an "Overweight" rating: - Nicheng Technology (日联科技) - Kingsoft Office (金山办公) - Hehe Information (合合信息) - Hikvision (海康威视) - Newland (新大陆) - Daotong Technology (道通科技) - Hand Information (汉得信息) - Haiguang Information (海光信息) - Related stocks include Zhongke Shuguang (中科曙光) [4][5].

◎记者 温婷 徐潇潇 当SHEIN、Temu的下载量在全球应用商店持续攀升，当墨西哥的消费者签收来自义乌的小商品，当迪 拜的贸易商日益习惯通过手机完成跨境结算——中国支付机构的全球化足迹逐步渗透至拉美、中东等新 兴市场。 在我国连续第八年保持全球货物贸易第一的背景下，贸易格局的深刻变革，让支付"出海"跑出了"加速 度"，一场关乎效率、合规与生态的全球竞争已拉开帷幕。 "拿牌潮"瞄准新兴市场 最近，一些非银支付机构的海外负责人异常忙碌。忙碌的背后，是今年以来支付机构在全球的"拿牌 潮"：PingPong获得阿联酋央行原则性批准，有望成为中国境内首家持有阿联酋央行支付牌照的第三方 支付企业；移卡拿下美国亚利桑那州MTL州级支付牌照；连连数字建立了由65项支付牌照及相关资质 组成的全球支付牌照格局，增设新兴市场海外办事处、组建海外本土化运营团队。 "高价值牌照是构建全球支付网络的地基，地基牢固，我们才有机会搭建更多可能性。"PingPong联合创 始人卢帅的话，道出了行业共识。 与早年"粗放式出海"不同，如今的支付机构正以"牌照+本地化"的"组合拳"深耕全球，新兴市场成为增 长的核心引擎。 支付机构加速"出海"，既 ...

计算机行业重大事项点评 推荐（维持） 鸿蒙：生态技术双突破，自主底座能力再巩固 事项： ❑ 2025 年 11 月 14-16 日，于深圳举办的第二十七届中国国际高新技术成果交易 会（高交会）上，华为鸿蒙生态以独立展区形式全面亮相，系统展示了其在工 业、安平、医疗、金融等关键领域的创新应用成果。展会集中呈现了鸿蒙生态 以 OpenHarmony 开源项目为共同技术底座，汇聚 AI+分布式安防场景的安平 鸿蒙、具身智能+设备互联场景的工业鸿蒙、设备互联+AI 辅助诊断场景的医 疗鸿蒙、政务+产业协同场景的园区鸿蒙、中移智鸿开源底座场景家庭鸿蒙等 众多行业发行版。 证 券 研 究 报 告 评论： 行业研究 计算机 2025 年 11 月 18 日 华创证券研究所 证券分析师：吴鸣远 邮箱：wumingyuan@hcyjs.com 执业编号：S0360523040001 联系人：周楚薇 邮箱：zhouchuwei@hcyjs.com 行业基本数据 | | | 占比% | | --- | --- | --- | | 股票家数(只) | 338 | 0.04 | | 总市值(亿元) | 58,692.16 | 4.84 ...