Group 1 - The report highlights that Muxi Co. is expected to achieve a revenue of 1.644 billion yuan in 2025, representing a year-on-year growth of 121.26%, while the net profit loss is projected to narrow to -0.781 billion yuan from -1.409 billion yuan in the previous year [3][4] - In Q4 2025, Muxi Co. anticipates a revenue of 0.408 billion yuan, a decrease of 21.54% year-on-year, with a net profit loss of -0.435 billion yuan, which is an improvement compared to the previous year's loss of -0.627 billion yuan [3][4] - The company benefits from product expansion and increased shipment volumes, leading to a significant reduction in profit loss and a positive trend in profit structure [4] Group 2 - The report indicates that Hanwujing Co. achieved a revenue of 6.497 billion yuan in 2025, marking a substantial year-on-year increase of 453.21%, with a net profit of 2.059 billion yuan, reversing a loss of 0.452 billion yuan from the previous year [8][9] - In Q4 2025, Hanwujing Co. reported a revenue of 1.89 billion yuan, a year-on-year growth of 91.10%, and a net profit of 0.454 billion yuan, reflecting a 66.91% increase compared to the same period last year [8][9] - The significant performance improvement is attributed to the rising demand in the computing power industry, with successful deployments in key sectors such as telecommunications, finance, and internet [9] Group 3 - The report notes that Muxi Co. has successfully deployed its products in over 10 intelligent computing clusters across various regions, including Beijing, Shanghai, and Hong Kong, indicating a strong market presence [6][7] - The company is focusing on expanding its customer base in the internet and telecommunications sectors, with initial successes expected to drive future growth [7] - The report projects that Muxi Co. will benefit from the increasing demand for high-performance GPU chips, with revenue forecasts for 2025 to 2027 set at 1.644 billion, 4.079 billion, and 7.979 billion yuan respectively [4] Group 4 - The report states that the Chinese Token market is experiencing significant growth, with API call volumes surpassing those of North American models for the first time, indicating a competitive edge for Chinese model vendors [12] - The rapid increase in API call volumes, reaching 5.16 trillion tokens, reflects a 127% growth compared to three weeks prior, showcasing the strong demand for domestic models [12] - The report emphasizes that Chinese model vendors are gaining a competitive advantage in the global market due to rapid technological iterations and cost advantages [12]

Core Viewpoint - The 2026 Advanced Semiconductor Industry Conference aims to lead global innovation in new materials, focusing on key technologies and industry trends in the post-Moore era, driven by emerging industries such as AI, electric vehicles, and aerospace [2][21]. Event Overview - The event will take place from June 10 to June 12, 2026, at the Shanghai New International Expo Center, covering an exhibition area of 50,000 square meters and expecting over 100,000 attendees [5][21]. - The conference will feature over 300 strategic and cutting-edge technology reports, showcasing innovations in AI, data centers, intelligent robotics, and more [21][23]. Key Themes and Forums - The conference will focus on third and fourth-generation semiconductors, advanced packaging, and system-level collaborative innovation [2][21]. - Major forums include: - Diamond Frontier Applications Forum - Ultra-Precision Processing Forum - Third and Fourth Generation Semiconductor Crystal Growth Forum [6][7][24]. Participating Organizations - The event is organized by DT New Materials and supported by various associations and institutions, including the Chinese Academy of Sciences and several industry alliances [4][21]. - Notable invited companies include Intel, NVIDIA, Huawei, and TSMC, among others from semiconductor, consumer electronics, and data center sectors [10][11]. Registration and Pricing - Registration fees are set at ¥3000 for enterprises and universities, with early bird prices available [12][14]. - Students can register for ¥1500, with additional discounts for group registrations [12][14]. Additional Information - The event will also include specialized forums on topics such as AI chip thermal management, power device thermal management, and advanced battery technologies [8][24]. - The conference aims to create a comprehensive platform for collaboration and procurement in the new materials sector [21][23].

Investment Rating - The investment rating for the company is "Buy" (maintained) [1] Core Insights - The company has reported a significant increase in revenue and has turned losses into profits, benefiting from the rising demand in the computing power industry [6][9] - The company achieved a revenue of 6.497 billion yuan in 2025, representing a year-on-year growth of 453.21%, with a net profit of 2.059 billion yuan, compared to a loss of 0.452 billion yuan in the previous year [5][6] - The fourth quarter of 2025 saw a revenue of 1.89 billion yuan, up 91.10% year-on-year, and a net profit of 0.454 billion yuan, marking a 66.91% increase [5][6] Revenue and Profit Growth - The company’s revenue and profit have shown remarkable breakthroughs, with a full-year revenue of 6.497 billion yuan and a net profit of 2.059 billion yuan, indicating a complete turnaround from previous losses [6][10] - The quarterly performance in Q4 2025 reflects a strong growth trajectory, with significant improvements in both revenue and net profit [6][10] Market Demand and Product Deployment - The growth in performance is attributed to the increasing demand for computing power, with successful large-scale deployments in key sectors such as telecommunications, finance, and the internet [6][9] - The company’s products support various large models, including LLaMA, GPT, and BLOOM, facilitating the training and inference tasks essential for AI applications [6][9] Future Projections - Revenue projections for 2025 to 2027 are estimated at 6.497 billion yuan, 17.008 billion yuan, and 24.488 billion yuan respectively, with net profits expected to reach 2.059 billion yuan, 6.839 billion yuan, and 9.406 billion yuan [10][11] - The company is positioned to benefit from the growing demand for large models and ongoing product optimization, with a projected price-to-sales ratio (PS) of 77.36, 29.55, and 20.52 for the years 2025 to 2027 [10][11]

Economic Stability - Stability is the current foundation of the Chinese stock market, with the Shanghai Composite Index recently stabilizing and showing positive momentum[11] - The geopolitical situation in the Middle East has limited impact on the Chinese market, with expectations quickly forming and digesting after recent developments[11] - China's internal stability and accelerated development are increasingly necessary amid external uncertainties, supported by rising national strength and governance levels[11] Fiscal Policy and Economic Outlook - The upcoming National People's Congress is expected to lead to better-than-expected arrangements for deficit rates and special bonds, which will stabilize the real estate market[12] - In January and February 2026, the issuance of new special bonds reached CNY 830 billion, a year-on-year increase of 39.6%, likely boosting economic activity[12] - The recovery rates for construction sites and funding availability have increased by 1.5% and 3.7% respectively compared to the previous lunar year[12] Sector Recommendations - Emerging technology is a key focus, with recommendations for sectors such as machinery, electronics, and defense, emphasizing self-sufficiency and AI applications[13] - Financial stability is highlighted, with banks and non-bank financial institutions recommended for investment due to their role as market stabilizers[13] - Resource sectors, including metals and oil transportation, are expected to benefit from global security changes and domestic investment recovery[13] Risk Factors - Risks include potential overseas economic downturns and geopolitical uncertainties, as well as individual stock performance not meeting expectations[14]

Group 1: Domestic Computing Industry Insights - The domestic computing industry is expected to see significant growth in 2026, with the new generation of computing chips, the 950 series from Company H, set to be mass-produced[4] - Internet companies have shown positive evaluations and strong purchasing intentions for the 950 chip, indicating robust demand in the downstream market[4] - Key domestic computing stocks recommended include Cambricon (688256) and SMIC (981.HK), with a focus on semiconductor supply chains[4] Group 2: AI and CAPEX Trends - AI applications are driving a significant increase in computing CAPEX, with North American CSPs planning substantial investments to meet rising demand[7] - The emergence of Agentic AI is expected to dramatically increase CPU performance requirements, potentially creating new bottlenecks in the market[9] - The AI inflation trend is spreading across the electronics industry, with price increases noted in various components due to heightened demand and rising raw material costs[10] Group 3: Supply Chain and Component Shortages - The IC substrate supply chain is facing bottlenecks due to a shortage of fiberglass cloth, with tight supply expected to persist until 2027[5] - Companies like Zhongji Xuchuang (300308) are proactively addressing supply chain issues through early stockpiling and new supplier development[8] - The advanced packaging industry is also experiencing increased demand, with domestic companies benefiting from a favorable market environment[11]

- The financing balance of the Shanghai and Shenzhen stock markets as of February 27 was 2,660.588 billion yuan, a decrease of 45.886 billion yuan from the end of the previous month[12] - The financing balance of the main board and the ChiNext board decreased, while the financing balance of the STAR Market increased[19] - The financing balance of the CSI 300 was 951.082 billion yuan, a decrease of 26.447 billion yuan from the end of the previous month[20] - The financing balance of the CSI 500 was 503.02 billion yuan, a decrease of 5.689 billion yuan from the end of the previous month[22] - The financing balance of the CSI 1000 was 544.918 billion yuan, a decrease of 7.049 billion yuan from the end of the previous month[22] - The financing balance of other sectors was 644.235 billion yuan, a decrease of 7.436 billion yuan from the end of the previous month[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The number of individual investors in margin trading and securities lending was 8.0051 million, an increase of 0.63% from the end of the previous month[26] - The number of institutional investors in margin trading and securities lending was 51,201, an increase of 0.39% from the end of the previous month[26] - The number of investors with margin trading and securities lending liabilities was 1,893,816, a decrease of 1.31% from the end of the previous month[26] - The average daily number of investors participating in margin trading and securities lending transactions from February 1 to February 27 was 453,113, a decrease of 24.51% from the previous month[26] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI 500, CSI 1000, and other sectors accounted for 35.98%, 19.03%, 20.62%, and 24.37% respectively[22] - The financing balance of the CSI 300, CSI

Quantitative Models and Construction Methods 1. **Model Name**: Kaiyuan Quantitative Preferred Golden Stock Portfolio - **Model Construction Idea**: The model is based on the observation that newly introduced golden stocks outperform repeated golden stocks. It incorporates the earnings surprise factor (SUE factor) to select stocks with superior performance expectations[23]. - **Model Construction Process**: - Use newly introduced golden stocks as the sample pool. - Select the top 30 stocks with the highest earnings surprise (SUE factor). - Weight the portfolio based on the number of recommendations by brokers[23]. - **Model Evaluation**: The model demonstrates superior performance compared to the overall golden stock portfolio, with higher annualized returns and a better risk-return ratio[23]. Model Backtesting Results 1. **Kaiyuan Quantitative Preferred Golden Stock Portfolio** - February Return: 4.4% - 2026 YTD Return: 15.5% - Annualized Return: 24.4% - Annualized Volatility: 25.1% - Return-to-Volatility Ratio: 0.97 - Maximum Drawdown: 24.6%[26][27] 2. **Overall Golden Stock Portfolio** - February Return: 2.9% - 2026 YTD Return: 8.9% - Annualized Return: 14.7% - Annualized Volatility: 23.2% - Return-to-Volatility Ratio: 0.63 - Maximum Drawdown: 42.6%[21][26] 3. **Newly Introduced Golden Stock Portfolio** - February Return: 3.5% - 2026 YTD Return: 10.7% - Annualized Return: 17.5% - Annualized Volatility: 23.8% - Return-to-Volatility Ratio: 0.73 - Maximum Drawdown: 38.5%[21] 4. **Repeated Golden Stock Portfolio** - February Return: 2.4% - 2026 YTD Return: 7.4% - Annualized Return: 12.3% - Annualized Volatility: 23.4% - Return-to-Volatility Ratio: 0.52 - Maximum Drawdown: 45.0%[21] 5. **Benchmark Indices** - CSI 300 Index: February Return: 0.1%, 2026 YTD Return: 1.7%, Annualized Return: 3.7%, Annualized Volatility: 20.8%, Return-to-Volatility Ratio: 0.18, Maximum Drawdown: 40.6%[21][26] - CSI 500 Index: February Return: 3.4%, 2026 YTD Return: 16.0%, Annualized Return: 3.5%, Annualized Volatility: 23.8%, Return-to-Volatility Ratio: 0.15, Maximum Drawdown: 37.5%[21][26] Quantitative Factors and Construction Methods 1. **Factor Name**: Earnings Surprise Factor (SUE Factor) - **Factor Construction Idea**: The factor identifies stocks with earnings that significantly exceed market expectations, which are likely to outperform in the short term[23]. - **Factor Construction Process**: - Calculate the earnings surprise for each stock as the difference between reported earnings and consensus estimates. - Rank stocks based on their earnings surprise values. - Select the top stocks with the highest earnings surprise for portfolio construction[23]. - **Factor Evaluation**: The SUE factor demonstrates strong stock selection ability, particularly within the newly introduced golden stock portfolio[23]. Factor Backtesting Results 1. **SUE Factor in Newly Introduced Golden Stock Portfolio** - Demonstrates superior stock selection ability, contributing to the outperformance of the preferred golden stock portfolio compared to the overall golden stock portfolio[23].

Investment Rating - The industry rating is "Recommended" [4] Core Insights - The domestic computing power logic has been solidified post-Spring Festival, with token usage surpassing that of the United States for the first time, driven by a surge in token calls, a turning point in chip performance, and dual support from policies and infrastructure [6][12] - The rapid growth in token usage reflects the increasing demand for AI applications, with significant contributions from domestic models that are cost-competitive and technologically advanced [7][8] - The performance of domestic chip manufacturers has shown a turning point, with significant revenue growth reported for leading companies, indicating enhanced industry growth certainty [9][11] Summary by Sections Section 1: Domestic Computing Power Logic - In February, the weekly token usage in China reached 41.2 trillion, surpassing the U.S. at 29.4 trillion, with a further increase to 51.6 trillion the following week, marking a 127% increase over three weeks [6] - Four Chinese models ranked among the top five globally, contributing 85.7% of the total token usage [6][7] Section 2: Chip Performance and Market Dynamics - Major domestic chip companies reported substantial revenue increases for 2025, with Cambrian achieving 6.497 billion yuan, a 453.21% increase year-on-year, and turning a profit [9] - The Ministry of Industry and Information Technology has issued policies to support advancements in AI chips and infrastructure, enhancing the certainty of orders in the domestic computing power sector [10][11] Section 3: Market Outlook and Recommendations - The current market is expected to remain volatile, with a cautious and neutral allocation recommended for the AI sector [2][13] - Key recommendations include companies involved in computing and communication infrastructure, such as China Mobile and ZTE, as well as third-party data center firms like Guanghuan Xinnet and Data Port [13][14] - The report highlights opportunities in low-orbit satellite components and AI-related manufacturing, emphasizing the importance of cost-effectiveness in the evolving AI landscape [2][13][17]

Investment Rating - The industry investment rating is "Buy" [4] Core Insights - The report highlights a significant increase in the weekly token usage of Chinese AI large models, surpassing that of the US for the first time, indicating a shift from "technology catch-up" to "application landing" [16][17] - The performance of domestic AI large models has improved significantly, with models like GLM-5 and MiniMax M2.5 closing the gap with international leaders, showcasing strong cost-performance advantages [30][35] - The rapid adoption of AI-assisted programming tools is driving token consumption, with companies like Anthropic experiencing substantial revenue growth due to high demand in software development scenarios [45][50] Summary by Sections Section 1: Token Usage Growth - From February 16 to February 22, 2026, the weekly token usage of Chinese AI large models reached 5.16 trillion, a 127% increase over three weeks, while US models dropped to 2.7 trillion [16][17] - The market for enterprise-level large models in China is showing a clear trend towards concentration, with the top three models accounting for 71.8% of daily usage by the second half of 2025 [17] Section 2: Performance and Cost-Effectiveness of Domestic Models - Domestic models like GLM-5, Qwen-3.5, and MiniMax M2.5 have entered the global top tier, with GLM-5 recognized as a benchmark in the open-source category [30][34] - The cost of API calls for domestic models is significantly lower than that of international counterparts, enhancing their attractiveness to developers and enterprises [24][35] Section 3: Coding and Agent Development - The report emphasizes that AI models like Claude from Anthropic dominate the coding space, with a 54% market share in AI coding tools, leading to a surge in revenue from $1 billion at the beginning of 2025 to $14 billion by February 2026 [45][49] - Domestic AI coding tools are rapidly evolving, with companies like ByteDance and Alibaba developing products that automate the entire software development process [50][52] Section 4: Investment Opportunities - The report suggests focusing on three investment dimensions: computing power (e.g., Cambrian, Inspur), tool software (e.g., Eazy Information, Star Ring Technology), and model and vertical applications (e.g., Zhiyuan, MiniMax, and others) [8][9]

Investment Rating - The report recommends a "Buy" rating for several companies within the technology sector, indicating a positive outlook for their stock performance over the next 12 months [31]. Core Insights - The report highlights key companies in the technology sector, including Jiangsu Technology (Electronics, Communication, Computer, Media) as top picks for March 2026 [5][9]. - The report emphasizes the growth potential in various sub-sectors, particularly in 3D printing, liquid cooling solutions, AI chips, and gaming [15][16][18][19][21]. Summary by Category Electronics - **Precision Electronics**: Expected to achieve a net profit of 0.8e-0.9e in 2025, a significant increase of 181.97%-192.21% year-on-year, driven by semiconductor orders and improved operational efficiency [15]. - **Han's Laser**: Anticipated explosive growth in 3D printing, with a potential market share increase due to demand from North American clients [15]. Communication - **Invech**: Projected net profits of 5.87 million, 10.47 million, and 15.35 million from 2025 to 2027, with a strong focus on liquid cooling solutions and overseas market expansion [16]. - **Rui Ming Technology**: Expected to recover from previous losses, with projected net profits of 3.81 million, 4.95 million, and 6.67 million from 2025 to 2027, driven by increased demand in commercial vehicle information systems [17]. Computer - **Haiguang Information**: Positioned as a leader in high-end CPUs and DCUs, benefiting from the growth of domestic AI computing power and collaboration with major tech firms [18]. - **Cambricon**: Anticipated to maintain strong growth in AI chip demand, supported by ongoing R&D and market trends [18]. Media - **Kaiying Network**: Expected to launch several new games in 2026, which are projected to drive revenue growth [19]. - **Perfect World**: Anticipated to release a new RPG game, "Yihuan," with high market expectations, contributing to future revenue growth [21].