Financial Performance Expectations - The company expects a net profit attributable to shareholders of the parent company for 2025 to be between 175 million and 205 million yuan, marking a turnaround from a loss in the previous year [3]. - The net profit attributable to shareholders after deducting non-recurring gains and losses is projected to be between 150 million and 180 million yuan [3]. - In the previous year, the company reported a net loss of 6.13 million yuan attributable to shareholders of the parent company [5]. Business Growth and Contributions - The company's data center business is expected to grow, increasing its overall revenue share and contributing to improved net profit levels [7]. - The company has engaged in equity investments through private equity funds, focusing on high-tech industries, which have contributed to investment income as valuations of invested companies rise [8]. - Government subsidies are anticipated to positively impact net profit as related projects are completed and recognized in 2025 [8]. Financial Data and Risks - The earnings forecast data is preliminary and has not been audited by certified public accountants [4]. - The company emphasizes the importance of investors being aware of investment risks related to the preliminary financial data provided [10].

南财智讯1月29日电，源杰科技发布年度业绩预告，预计2025年全年归属于上市公司股东的净利润为 17,500万元—20,500万元，同比扭亏；预计2025年全年归属于上市公司股东的扣除非经常性损益的净利 润为15,000万元—18,000万元。归属于上市公司股东的净利润同比扭亏，主要原因为：（一）2025年， 公司数据中心业务实现增长，占公司整体的收入比例提升。公司整体产品结构的进一步优化，加之数据 中心产品毛利率较高，因而，公司的净利润水平同比增加。（二）公司通过私募基金间接参与股权投 资，主要投资于中国境内的新一代信息技术、智能制造等高科技行业领域内具有发展潜力的非上市企 业。随着被投资企业估值上升，产生投资收益贡献。此外，2025年度，随着政府补助项目完成验收，确 认政府补助也对净利润有一定贡献。 ...

源杰科技公告称，预计2025年年度实现归属于母公司所有者的净利润1.75 - 2.05亿元，上年同期为 - 613.39万元，实现扭亏为盈；扣除非经常性损益后的净利润1.5 - 1.8亿元。业绩增长主要因数据中心业 务增长、产品结构优化，且数据中心产品毛利率较高；同时，间接股权投资产生收益，以及确认政府补 助也有贡献。具体财务数据以经审计的2025年年报为准。 ...

Investment Rating - The industry investment rating is maintained as "Positive" [2] Core Insights - The report emphasizes the transition to the "SuperNode" era in computing infrastructure, driven by the increasing computational demands of AI models, which are evolving from pre-training to multi-faceted scaling [14][17] - The SuperNode architecture relies on enhanced interconnectivity, integrating multiple computing chips into a logical "super GPU/ASIC" to overcome the limitations of traditional single-server setups [39] - The report identifies three main investment themes: "Network End + AIDC + Computing End" and four key sectors: "Optical + Liquid Cooling + Power Supply + Chips" [7] Summary by Sections 1. Transition to SuperNode Era - The evolution of AI models necessitates a shift in computational infrastructure, with demands for higher performance and efficiency [14] - The report highlights the rapid growth in model parameters and training data, indicating a need for advanced computational clusters [14] 2. SuperNode Architecture - SuperNode clusters are defined as large-scale GPU/ASIC systems that expand from thousands to millions of computational units, utilizing both Scale Up and Scale Out strategies [17] - The architecture includes components such as computing nodes, switch trays, and power supply units, which are essential for the operation of SuperNode systems [80] 3. Upgrades in Key Components - The report notes that the increasing penetration of SuperNode servers will drive demand for high-power supplies, liquid cooling systems, and optical communication technologies [5][80] - Specific companies are highlighted as beneficiaries in the sectors of optical modules, liquid cooling, server power supplies, and exchange chips [7] 4. Domestic SuperNode Development - The report discusses the progress of domestic SuperNode solutions, particularly Huawei's Atlas 900 A3 and Atlas 960, which are designed to enhance the performance of domestic AI clusters [6][112] - The performance of domestic chips is shown to improve significantly when deployed in SuperNode configurations, effectively compensating for individual chip limitations [112]

Market Overview - A-shares continued to decline in early trading, with the ChiNext Index and Shenzhen Component Index dropping over 1% at one point before a collective rebound occurred around 10:02 AM, leading to the ChiNext Index and Shanghai Composite Index turning positive [2] - Notable stocks driving the market include New Yi Sheng, Zhongji Xuchuang, and Tianfu Communication, with Tianfu Communication rising over 11% and entering the top five in trading volume [2] North American Computing Chain - The North American computing chain saw a strong performance, with Yuanjie Technology rising over 10% and reaching a historical high of 815.54 yuan, making it the third highest-priced stock in A-shares with a market capitalization of 70.094 billion yuan [2] - Other stocks in this sector, such as Robotech and Shijia Photon, also experienced significant gains [5] Semiconductor Industry - The semiconductor industry was a key driver of the index's rise, with storage chips and semiconductor equipment sectors leading the gains. Notable stocks included Dongxin Co., which hit the daily limit, and Puran Co., which surged 16% [6][8] - Several companies in the storage chip sector reported substantial profit growth forecasts for 2025, with expected increases ranging from 81.77% to 167.31% year-on-year [8] - The semiconductor equipment market is expected to continue growing, driven by AI computing demand and advancements in packaging technology [9] Institutional Investment Trends - Zhongji Xuchuang has gained significant attention, becoming the largest holding for public funds by the end of Q4 2025, with a market value of 78.421 billion yuan. It has been the most increased stock for public funds for three consecutive quarters [5] - The acceleration of the technology cycle, particularly in AI and data centers, is expected to benefit leading suppliers in the sector [5]

Market Overview - A-shares continued to decline in early trading, with the ChiNext Index and Shenzhen Component Index dropping over 1% at one point before a collective rebound occurred around 10:02 AM [1] - The Shanghai Composite Index rose by 0.03%, while the Shenzhen Component Index fell by 0.37%, and the ChiNext Index increased by 0.44% by the end of the morning session [3] Key Stocks and Sectors - Notable stocks that surged included New Yi Sheng (300502), Zhongji Xuchuang (300308), and Tianfu Communication (300394), with Tianfu Communication rising over 11% [1] - The North American computing power chain saw significant gains, with Yuanjie Technology rising over 10% and reaching a record high price of 815.54 yuan, making it the third highest-priced stock in A-shares with a market capitalization of 700.94 billion yuan [1] - The semiconductor industry, particularly the storage chip and semiconductor equipment sectors, led the market rally, with stocks like Dongxin Co. hitting the daily limit and others like Purun Co. and Jingzhida rising significantly [8][10] Institutional Insights - Zhongji Xuchuang is gaining attention as it is projected to replace CATL (300750) as the largest holding in public funds by the end of Q4 2025, with a market value of 784.21 billion yuan [6] - The stock has been the most increased in public fund holdings for three consecutive quarters, indicating strong institutional interest [6] Price Trends and Forecasts - Amazon Web Services (AWS) recently raised its EC2 machine learning capacity block prices by approximately 15%, breaking a long-standing trend of declining cloud service prices, reflecting tight supply conditions in computing power [7] - The semiconductor equipment market is expected to grow significantly, driven by AI demand and advancements in packaging technology, with strong growth anticipated in 2026 [11]

Group 1 - The semiconductor sector experienced a significant increase, with the sector index rising by 1.69% as of the report's publication [1] - Dongxin Co. saw a 20% limit-up, while Kangqiang Electronics, Jinhaitong, and Tuori New Energy also hit the limit-up, indicating strong market performance [3] - Several companies, including Xinyuanwei and Mingwei Electronics, saw their stock prices increase by over 15%, reflecting positive investor sentiment in the semiconductor industry [3] Group 2 - The stock performance of notable companies includes: - Dongxin Co. at a price of 153.23 with a 20.00% increase [4] - Xinyuanwei at 231.69 with a 15.84% increase [4] - Mingwei Electronics at 63.30 with a 15.93% increase [4] - Pushe Co. at 254.00 with a 14.30% increase [4] - Yuanjie Technology at 826.74 with a 12.48% increase [4] - Hengshuo Co. at 91.88 with a 12.25% increase [4]

Core Insights - The CPO concept experienced significant fluctuations, with notable gains in several companies, indicating a positive market sentiment towards this sector [2] Group 1: Company Performance - Yuanjie Technology saw its stock price increase by over 8%, reaching a historical high [2] - Zhongci Electronics approached the daily limit increase, reflecting strong investor interest [2] - Other companies such as Tianfu Communication, Kecuan Technology, Huilv Ecology, Guangku Technology, and Taicheng Light also experienced upward movement in their stock prices [2]

Group 1 - The core viewpoint of the report emphasizes that the demand for AI computing power will continue to grow and diversify in 2026, extending from data centers to network edges and even internal terminals [8][13][27] - The report highlights the significant capital expenditure (Capex) growth driven by business revenue, with major cloud service providers like Google, Microsoft, and Amazon showing consistent revenue growth exceeding 20% year-on-year [27][31][35] - The report identifies the increasing importance of silicon photonics technology, particularly the 1.6T optical module, which is expected to maintain accelerated growth and enhance the global market share of domestic optical chips and devices [7][54][70] Group 2 - The report discusses the emergence of new technologies such as Scale-UP supernodes and their impact on optical link demand, indicating that these technologies will drive additional link requirements in 2026 [7][9][66] - It notes that the AI infrastructure is experiencing a high level of prosperity, with significant investments in data centers and AI capabilities expected to continue, particularly in the U.S. [47][49][53] - The report anticipates that the integration of silicon photonics will significantly increase its market penetration, projecting that by 2026, over half of optical module sales will come from silicon photonics solutions [70][75]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to identify market trends and hotspots. It is based on the momentum and trend-following strategy, which has been validated by various studies[11][19]. - **Model Construction Process**: The 250-day new high distance is calculated as: $ 250 \text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price falls from the high, the distance is a positive value representing the degree of decline[11]. - **Model Evaluation**: The model effectively identifies stocks or indices with strong momentum and highlights market leaders, aligning with the principles of momentum investing[11][19]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model refines the momentum strategy by focusing on stocks with smooth price paths and consistent new highs, leveraging the "smooth momentum" effect[27]. - **Model Construction Process**: Stocks are selected based on the following criteria: - Analyst Attention: At least 5 buy or overweight ratings in the past 3 months - Relative Strength: Top 20% in 250-day price performance - Price Stability: - Price path smoothness: Ratio of price displacement to total price movement - Consistency of new highs: Average 250-day new high distance over the past 120 days - Trend Continuation: Average 250-day new high distance over the past 5 days The top 50 stocks meeting these criteria are selected[27][29]. - **Model Evaluation**: The model emphasizes stocks with stable momentum and consistent performance, which are less likely to experience sharp reversals, making it a robust enhancement to traditional momentum strategies[27][29]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.70% - Shenzhen Component Index: 0.00% - CSI 300: 1.84% - CSI 500: 0.00% - CSI 1000: 0.00% - CSI 2000: 0.00% - ChiNext Index: 1.15% - STAR 50 Index: 0.00%[12][13][34] 2. Stable New High Stock Selection Model - **Selected Stocks**: 50 stocks were identified, including Jiangbolong, Shengda Resources, and Yuanjie Technology. - **Sector Distribution**: - Cyclical Sector: 23 stocks, with the highest concentration in basic chemicals - Technology Sector: 18 stocks, with the highest concentration in electronics[30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's price to its 250-day high, capturing momentum and trend-following characteristics[11]. - **Factor Construction Process**: $ 250 \text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor is widely recognized for its ability to identify stocks with strong momentum and potential for continued outperformance[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the stability of a stock's price movement, favoring stocks with smoother trajectories[27]. - **Factor Construction Process**: - Price path smoothness is calculated as the ratio of price displacement to the total price movement over a given period[27]. - **Factor Evaluation**: This factor enhances the momentum strategy by reducing exposure to volatile stocks, improving risk-adjusted returns[27]. 3. Factor Name: Consistency of New Highs - **Factor Construction Idea**: Measures the persistence of a stock's new high performance over time, emphasizing sustained momentum[27]. - **Factor Construction Process**: - Average 250-day new high distance over the past 120 days is used as a proxy for consistency[27]. - **Factor Evaluation**: This factor ensures that selected stocks exhibit reliable momentum, reducing the likelihood of short-term reversals[27]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.70% - Shenzhen Component Index: 0.00% - CSI 300: 1.84% - CSI 500: 0.00% - CSI 1000: 0.00% - CSI 2000: 0.00% - ChiNext Index: 1.15% - STAR 50 Index: 0.00%[12][13][34] 2. Price Path Smoothness Factor - **Selected Stocks**: 50 stocks were identified, including Jiangbolong, Shengda Resources, and Yuanjie Technology. - **Sector Distribution**: - Cyclical Sector: 23 stocks, with the highest concentration in basic chemicals - Technology Sector: 18 stocks, with the highest concentration in electronics[30][35] 3. Consistency of New Highs Factor - **Selected Stocks**: Same as the Price Path Smoothness Factor, as it is part of the composite selection criteria[30][35]