Group 1 - The core viewpoint of the article highlights the performance of the Kexin 50 ETF Enhanced (588450), which opened down by 0.75% at 1.975 yuan on February 2 [1] - Major holdings in the Kexin 50 ETF Enhanced experienced declines, including SMIC down 1.28%, Haiguang Information down 1.68%, and others such as Zhongwei Company, Lanke Technology, and Cambrian down by varying percentages [1] - The performance benchmark for the Kexin 50 ETF Enhanced is the Shanghai Stock Exchange Science and Technology Innovation Board 50 Index return rate, managed by China Merchants Fund Management Co., Ltd. [1] Group 2 - Since its establishment on May 6, 2024, the Kexin 50 ETF Enhanced has achieved a return of 99.29%, with a one-month return of 14.31% [1]

作为券商月度策略的精华，券商金股在1月份展现了亮眼的超额收益能力，最牛金股单月大涨约99%。 进入2月，新一期券商金股名单陆续出炉，主要集中在电子、机械设备、有色金属等行业。个股方面，海光信息、腾讯控股、中国太保、紫金矿业的人气最 高。 展望2月，券商普遍认为，春季行情趋势仍在延续，春节之前市场可能震荡，科技成长、顺周期板块受到青睐。还有券商建议，投资者在春节持股过节。 1月最牛金股大涨近99% 回顾1月金股表现，1月涨幅居前的金股集中在计算机、电子、化工、电力设备、有色金属等板块。 每市APP显示，由华龙整体推荐的卓易信息涨幅高达98.94%，成为1月最牛金股。排名第二的是由国联民生证券推荐的宏景科技，单月涨幅达68.75%，国新 证券推荐的盛晖集成则排名第三，1月上涨了61.59%。 1月份涨幅超50%的还包括华峰测控（太平洋证券推荐）、华虹半导体（兴业证券推荐）、金安国纪（东莞证券推荐）、东方铁塔（西部证券推荐）、迈为 股份（东吴证券、华源证券推荐）等等。此外，紫金黄金国际（东北证券推荐）、华锡有色（西南证券推荐）、兆易创新（中航证券、中国银河证券推 荐）1月涨超45%。 券商金股组合也在1月展现了亮眼 ...

证券研究报告 2月十大金股推荐 1 ※ 核心观点 我们认为当前仍处于市场流动性偏宽的环境中，叠加高频景气跟踪与上市公司业绩预告均显示基本面有结构性亮点， 因此继续看好权益市场延续震荡向上趋势。方向上，建议重点关注：一是内外需共振景气向上、成长预期较好的科技 制造板块（AI/半导体/存储/风电等）；二是受益于产品涨价预期的周期板块（有色金属/化工等）；三是业绩有望筑 底改善的行业（建材/免税等）；四是部分绩优红利资产（保险等）。 资料来源：Wind，平安证券研究所 备注：本篇报告数据统计截至2026/1/29 平安证券研究所 2026年1月30日 请务必阅读正文后免责条款 2 证券代码 证券名称 申万一级行业 总市值 PE PB 推荐逻辑 （亿元人民币） (TTM) (MRQ) 300223.SZ 北京君正 电子 662 208.6 5.3 存储周期上行，L3智能驾驶催化汽车电子 603005.SH 晶方科技 电子 201 58.9 4.4 WLCSP先进封装领先企业，受益车规CIS需求扩张 688041.SH 海光信息 电子 6,073 256.6 27.7 国产算力领先企业，业绩持续增长可期 688615. ...

Investment Rating - The report provides a recommendation for the technology sector, specifically highlighting key stocks for February 2026 [6]. Core Insights - The report identifies several companies across different segments of the technology industry, including electronics, communications, computing, and media, suggesting a diversified investment approach [6]. - Key companies recommended include: - Electronics: Dongshan Precision, Lanke Technology - Communications: Wolong Materials, Haige Communications - Computing: Zhongkong Technology, Haiguang Information - Media: Kaiying Network, Giant Network [6]. Summary by Category Electronics - **Dongshan Precision**: Positioned for growth due to AI technology advancements, with a focus on optical communication and PCB sectors. The acquisition of Solstice Optoelectronics enhances its market position [9]. - **Lanke Technology**: Expected to benefit from the growth in AI servers and memory interface chips, with a projected increase in DDR5 penetration rates [10]. Communications - **Wolong Materials**: Strong in traditional materials and expanding into new energy products, with significant profit growth expected from 2025 to 2027 [10]. - **Haige Communications**: Focused on commercial aerospace and satellite communication, with anticipated profit recovery post-2025 [10]. Computing - **Zhongkong Technology**: Emphasizes industrial AI transformation, leveraging its self-developed industrial model TPT to enhance customer ROI and operational efficiency [11]. - **Haiguang Information**: A leader in high-end CPUs and DCUs, expected to see significant growth driven by domestic demand for AI computing [12]. Media - **Kaiying Network**: Anticipates new game launches in 2026, with a strong pipeline of products expected to drive revenue growth [13]. - **Giant Network**: Positive performance from existing games and new releases, with ongoing AI integration in gaming expected to enhance user engagement [13]. Financial Projections - The report includes earnings per share (EPS) and price-to-earnings (PE) ratios for the recommended companies, indicating expected growth in profitability from 2024 to 2027 [14].

Investment Rating - The industry investment rating is "Positive" and maintained [9] Core Views - The report highlights a continued price increase trend in the AI infrastructure supply chain, suggesting that multiple segments such as CPU and cloud services may experience simultaneous volume and price growth, benefiting related industries [8][58] - The report recommends focusing on the domestic computing power supply chain, particularly leading companies in computing chips like Cambricon and Haiguang Information, as well as domestic CPU, cloud, and AI infrastructure suppliers [8][58] Summary by Sections Market Performance - Last week, the computer sector rebounded slightly, with an overall decline of 0.25%, ranking 27th among major industries in the Yangtze River region, and accounting for 7.08% of total market turnover [2][18] Key Recommendations - The report emphasizes the importance of the domestic basic resource supply chain, particularly in light of ongoing price increases that are expected to benefit various segments, including computing chips and cloud services [8][58] Notable Developments - Recent updates include the IPO progress of three companies in the commercial aerospace sector, and announcements from Elon Musk regarding the Optimus humanoid robot, which is expected to be available to the public by the end of 2027 [2][23][29] - The report also notes that the full version of Tesla's FSD (Full Self-Driving) may receive regulatory approval soon, which could accelerate investment opportunities in the smart driving industry [37][41]

Investment Rating - The report maintains a "Positive" investment rating for the computer industry, indicating an expectation of returns exceeding the market benchmark by more than 5% [3][9]. Core Insights - The server CPU supply from Intel and AMD is constrained, leading to a projected price increase of 10%-15% due to surging demand from customers like CSPs. The production capacity for server CPUs is essentially sold out for the year 2026 [4]. - The price increase is driven by limited advanced process capacity and unexpectedly high downstream demand, particularly as the general server market enters a significant upgrade cycle and AI demand continues to exceed expectations [4]. - The report suggests that the current price increase for server CPUs reflects a structural shift in demand rather than a short-term fluctuation, with expectations for continued growth in both quantity and performance requirements for CPUs [4]. - Domestic CPU manufacturers are expected to benefit from this supply-demand imbalance, with companies like Haiguang Information and Loongson expected to fill the demand gap as domestic cloud service providers accelerate evaluations of domestic alternatives [4]. Summary by Sections Investment Recommendations and Targets - Recommended stocks include Haiguang Information (688041, Buy), Zhongke Shuguang (603019, Buy), and others, as they are positioned to benefit from the supply constraints faced by Intel and AMD [2]. Industry Dynamics - The report highlights a significant shift in the AI landscape, where the demand for high single-core performance and memory bandwidth is becoming critical due to the rise of AI agents and reinforcement learning applications [4]. - The infrastructure focus is expected to shift from "GPU compute power" to "CPU scheduling," indicating a long-term trend in the industry [4].

Investment Rating - The industry investment rating is "Positive" and maintained [7] Core Insights - Since 2025, the technology sector has seen price increases in various segments of computing power resources, recently spreading to the midstream cloud computing sector in overseas markets. The demand for AI, coupled with tight capacity in core segments, has shifted industry pricing towards "supply-demand pricing + value reassessment." Some segments are still in the early stages of price increases, which are expected to gradually transmit to the domestic market, suggesting investment opportunities in domestic computing power resources [2][5] Summary by Relevant Sections - **Price Trends**: Since the second half of 2025, there has been a significant upward trend in prices for storage and other computing power resources. For instance, memory prices surged by 171.8% year-on-year in Q3 2025, with expectations of further increases of 40% to 50% in Q1 2026 and around 20% in Q2 2026. Major companies like Samsung have raised NAND flash contract prices by over 100% starting January 2026 [10][13] - **Market Dynamics**: The AI demand is robust, and the competition among tech giants for computing power resources is intensifying. For example, Meta's capital expenditure for 2026 is projected to reach $135 billion, significantly exceeding Wall Street's expectations. This surge in AI-related demand is creating a substantial supply-demand gap, particularly in storage chips, which is expected to lead to further price increases across various segments [10][13] - **Investment Recommendations**: The report recommends focusing on key domestic leaders in computing power resources, including AI chips (e.g., Haiguang Information, Cambricon), CPUs (e.g., Haiguang Information), and cloud service providers (e.g., Kingsoft Cloud, Capital Online). Additionally, it suggests monitoring other quality stocks with strong fundamentals and high correlation within the industry chain [5][10]

随着人工智能大模型等应用对算力需求的指数级增长，传统单一形态的处理器架构已难以满足多样化场景的性能需求，CPU、GPU、NPU等各类芯片组成的 异构计算体系成为行业主流。但异构系统中不同部件的高效协同一直是行业痛点，中国工程院院士郑纬民指出，CPU、GPU、加速卡存储与网络模块的协同 效率，直接决定异构系统整体性能的释放，而统一、高效的互联总线协议，正是解决这一问题的关键。在此背景下，海光信息自主研发了系统总线互联协议 (HSL)，并于2025年9月在北京举办的研讨会上，面向GPU、IO、OS、OEM等产业全栈正式开放该协议。HSL协议具备高带宽、低延迟、全局地址空间一致 性、全栈开放和灵活扩展五大核心特性，相比传统PCIe接口实现多维度突破：性能上，大幅降低数据传输延迟、提升带宽，支持芯片间高速直连，让AI超 节点内GPU充分利用CPU内存空间，显著提升AI模型运行效率；开发扩展上，简化编程复杂度，可灵活支持从单机多卡到大规模智算集群的弹性扩展，支持 万卡级以上计算加速卡异构互联；生态协同上，开放完整总线协议、提供IP参考设计及开放指令集，全面支持主流国产AI芯片，助力上下游伙伴高效连接， 打破技术壁垒，释 ...

Group 1: Financial Technology - In 2026, global liquidity is expected to remain reasonably ample, with the domestic monetary policy maintaining a moderately loose tone[14] - The digital RMB 2.0 will officially implement on January 1, 2026, transitioning from M0 to M1 currency attributes[18] - The CIPS network expansion will be a key focus starting February 1, 2026, as new rules for the RMB cross-border payment system come into effect[20] Group 2: AI Applications - The AI application landscape is shifting towards commercial monetization, with a focus on achieving breakeven after initial explosive growth[24] - C-end applications are dominated by major tech giants, making it difficult for smaller firms to survive in the market[40] - B-end applications are seeing some achieving unit economics (UE) breakeven, particularly in sectors with high product-market fit (PMF) like robotaxi[45] Group 3: AI Computing Power - Global demand for AI computing power is on the rise, with domestic internet companies being the largest consumers of intelligent computing servers[3] - Domestic chip manufacturers are making significant breakthroughs, with companies like Huawei and Cambricon showing strong growth potential[3] - The shift towards scale-up supernode architectures is expected to accelerate, enhancing overall system performance[3] Group 4: AI Energy - The AIDC power supply paradigm is evolving towards 800V HVDC systems, driven by the need for higher power density and efficiency[4] - Nuclear fusion is being explored as a long-term energy solution, with significant advancements expected within the next five years[7]

Core Insights - The number of active Agents is projected to surge from 28.6 million in 2025 to 2.216 billion by 2030, with a compound annual growth rate (CAGR) of 139% [1] - The total number of tasks executed annually is expected to explode from 44 billion in 2025 to 415 trillion by 2030, reflecting a CAGR of 524% [1] - The estimated annual Token consumption will increase dramatically from 0.0005 P in 2025 to 152,667 P by 2030, indicating a staggering CAGR of 3,418% [1] Group 1: Agent Development Trends - The trend is shifting from single LLMs to Agents, significantly boosting the demand for parallel processing [1] - Domestic and international models are accelerating Agent development, with notable advancements such as Kimi's new open-source model K2.5 and Anthropic's Claude in Excel plugin [1][2] - Agents enhance single LLMs by incorporating decision orchestration, enabling them to autonomously plan tasks and utilize external tools, thus addressing limitations in context awareness and real-time information retrieval [2] Group 2: Multi-Agent Systems (MAS) - Multi-Agent Systems are emerging as a new form of Agents, exemplified by Kimi K2.5, which can manage 100 sub-agents and execute 1,500 tool calls in parallel, reducing execution time by up to 4.5 times compared to single agents [2] Group 3: CPU as a Critical Support - CPUs are crucial for Agent performance, affecting latency, throughput, and power consumption, with CPU processing accounting for up to 90.6% of total latency [3] - In Agent operations, CPUs handle tasks that GPUs cannot, such as executing external tools and system-level task orchestration, thus becoming essential for efficient resource allocation [3] Group 4: Investment Recommendations - As the demand for Agents grows, CPUs are expected to become a key performance bottleneck, leading to increased demand for core supply chain companies such as Haiguang Information, Longxin Zhongke, Guanghe Technology, Tongfu Microelectronics, and Lanke Technology [4]