格隆汇2月2日丨精智达(688627.SH)公布，自2025年3月10日第三届董事会第二十六次会议审议通过《关 于以集中竞价交易方式回购公司股份方案的议案》之日起至2026年1月31日，公司通过上海证券交易所 交易系统以集中竞价交易方式已累计回购股份56.91万股，占公司总股本比例为0.61%，回购成交的最高 价为75.19元/股，最低价为60.53元/股，支付的资金总额为人民币4016.70万元(不含印花税、交易佣金等 交易费用)。 ...

Group 1 - The core point of the article highlights that Jingzhida (精智达) received the highest number of institutional research visits among listed companies, with 170 institutions conducting research during the last working week of January [1][2] - Jingzhida signed a significant sales contract worth 1.311 billion yuan (including tax) for semiconductor testing equipment, which has garnered considerable market attention [1][3] - The order is seen as a strong validation of the company's long-term investments and its solid market position, especially amid tight delivery schedules from international suppliers [3] Group 2 - In January, over 600 listed companies disclosed records of institutional investor research, with Dajin Heavy Industry (大金重工) receiving the most visits at 209 institutions [3][4] - The electronic and mechanical equipment sectors have shown high levels of interest from institutional investors, with these industries leading in the number of research visits [5] - The overall trend indicates a sustained enthusiasm for institutional research in the machinery and computer sectors, with a notable focus on electronic and mechanical equipment industries [5]

Group 1 - Institutional research enthusiasm remains high, particularly in the machinery and computer sectors, with electronics and machinery equipment industries leading in the number of institutions surveyed over the past five days [2][7] - From January 26 to January 30, Jingzhida received the most institutional surveys, totaling 170, following a significant contract signing worth 1.311 billion yuan for semiconductor testing equipment [3][5][6] - Over 600 companies have been surveyed by institutions this year, with Dajin Heavy Industry receiving the highest number of surveys at 209 [3] Group 2 - The top ten A-share companies by the number of institutional surveys this week include Jingzhida, which received 170 surveys, and Ninebot Company, which received 160 [5][9] - The machinery and electronics sectors have seen increased attention, with a notable focus on the semiconductor testing equipment market, highlighting Jingzhida's competitive position in the domestic supply chain [6][7] - Ninebot Company is focusing on electric motorcycles as a core growth driver, with sales of electric motorcycles surpassing electric bicycles since 2025, indicating a strong growth trend in the two-wheeler market [12]

Quantitative Models and Construction Methods 1. Model Name: Volume Timing Model - **Model Construction Idea**: The model uses volume-based timing signals to assess market sentiment and provide trading signals[23] - **Model Construction Process**: - The model evaluates the volume timing signals of major broad-based indices - Signals are categorized as "cautious" or "optimistic" based on volume trends - As of January 30, 2026, all major indices (e.g., SSE Composite Index, CSI 300, etc.) showed "cautious" volume timing signals[24] - **Model Evaluation**: The model provides a straightforward approach to gauge market sentiment but may lack granularity in capturing nuanced market dynamics[23][24] 2. Model Name: Momentum Sentiment Indicator - **Model Construction Idea**: This model identifies market sentiment by analyzing the proportion of stocks with positive returns in the CSI 300 Index over a specific period[24] - **Model Construction Process**: - The indicator is calculated as: $ \text{CSI 300 N-day Upward Stock Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns over N days}}{\text{Total number of CSI 300 stocks}} $ - The indicator is smoothed using two moving averages with different window periods (N1 = 50, N2 = 35) to create a "fast line" and a "slow line" - A buy signal is generated when the fast line exceeds the slow line, and a neutral signal is generated when the fast line falls below the slow line[26][28] - **Model Evaluation**: The indicator is effective in capturing upward market opportunities but may fail to predict downturns accurately. It also tends to miss gains during prolonged market exuberance[25] 3. Model Name: Moving Average Sentiment Indicator - **Model Construction Idea**: This model uses an eight-moving-average system to assess the trend state of the CSI 300 Index and generate trading signals[32] - **Model Construction Process**: - Calculate the eight moving averages of the CSI 300 Index closing price with parameters: 8, 13, 21, 34, 55, 89, 144, and 233 - Assign values to the indicator based on the number of moving averages the current price exceeds: - If the price exceeds more than five moving averages, the sentiment is bullish - Generate a buy signal when the current price exceeds five moving averages[36] - **Model Evaluation**: The model provides a clear framework for trend analysis but may oversimplify complex market dynamics[36] --- Model Backtesting Results 1. Volume Timing Model - All major indices (e.g., SSE Composite Index, CSI 300, CSI 500, etc.) showed "cautious" volume timing signals as of January 30, 2026[24] 2. Momentum Sentiment Indicator - The CSI 300 N-day upward stock proportion indicator was above 60% as of January 30, 2026, indicating high market sentiment[25] - The fast line was above the slow line, suggesting a bullish outlook for the CSI 300 Index[26] 3. Moving Average Sentiment Indicator - The CSI 300 Index was in a "sentiment prosperity zone" as of January 30, 2026, indicating a bullish sentiment[36] --- Quantitative Factors and Construction Methods 1. Factor Name: Cross-sectional Volatility - **Factor Construction Idea**: Measures the dispersion of returns among index constituents to assess the Alpha environment[37] - **Factor Construction Process**: - Calculate the cross-sectional volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[38] - **Factor Evaluation**: The factor effectively captures short-term Alpha opportunities but may not fully reflect long-term trends[37] 2. Factor Name: Time-series Volatility - **Factor Construction Idea**: Measures the volatility of index constituents over time to assess the Alpha environment[38] - **Factor Construction Process**: - Calculate the time-series volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[41] - **Factor Evaluation**: The factor provides insights into market stability but may be less effective in highly volatile markets[38] --- Factor Backtesting Results 1. Cross-sectional Volatility - CSI 300: Recent quarter average volatility at 2.14%, in the 69.55th percentile of the past two years[38] - CSI 500: Recent quarter average volatility at 2.45%, in the 50.79th percentile of the past two years[38] - CSI 1000: Recent quarter average volatility at 2.61%, in the 66.93rd percentile of the past two years[38] 2. Time-series Volatility - CSI 300: Recent quarter average volatility at 0.96%, in the 57.20th percentile of the past two years[41] - CSI 500: Recent quarter average volatility at 1.22%, in the 50.79th percentile of the past two years[41] - CSI 1000: Recent quarter average volatility at 1.17%, in the 64.94th percentile of the past two years[41]

Core Insights - Institutional interest in listed companies remains high, particularly in the machinery and computer sectors, with electronic and machinery equipment industries leading in the number of institutional surveys conducted in the past five days [2][8] - Jingzhida received the highest number of institutional surveys this week, with 170 institutions participating, following a significant contract signing worth 1.311 billion yuan for semiconductor testing equipment [2][6] - Over 600 companies have been surveyed by institutions this year, with Dajin Heavy Industry being the most frequently surveyed company at 209 times [2][3] Company-Specific Insights - Jingzhida's recent contract for semiconductor testing equipment is seen as a major market validation of the company's long-term investments and technological positioning [6] - The company has established a strong competitive edge within the domestic supply chain, especially amid tight delivery schedules from international suppliers [6] - The survey results indicate a robust interest in Jingzhida, reflecting confidence in its market position and future growth potential [2][5] Industry Trends - The machinery and electronic sectors are experiencing heightened attention from institutional investors, with a notable increase in survey participation over the past month [8] - The overall trend shows that machinery, electronics, and biopharmaceuticals are among the most surveyed industries, indicating a shift in investor focus [8] - The electric motorcycle segment is gaining traction, with companies like Ninebot reporting strong sales growth and a strategic focus on this market segment [15]

算力芯片测试机：公司将加快高端算力芯片测试样机的推出。结合战略客户新品节奏，存算一体背景 下，公司预期今年将取得进一步进展。 以智能眼镜为代表的端侧AI布局：智能眼镜作为AI时代的重要入口，前景乐观。公司将调动全部产品 线打造端侧AI的一站式解决方案，包括存储测试、SoC测试、光学检测等。 格隆汇1月30日丨精智达(688627.SH)近日在电话会议中表示，ASIC芯片：公司已经在稳步推动下一代高 速测试产品的研发工作，确保公司在下一代存储技术测试领域的持续领先。 ...

半导体测试检测设备是AI产业发展的重要设备基座。当前，前沿技术迭代与终端创新正持续拉动市场 加速扩容。公司正跟上行业扩产浪潮，通过优化产能配置、深化产业生态协同，以响应市场增长需求。 凭借自主可控的核心技术、全面的产品线及在重点客户的成功突破，公司对2026年及中长期的发展前景 充满信心。 格隆汇1月30日丨精智达(688627.SH)近日在电话会议中表示，当前半导体订单景气度高企，公司核心产 能已达满产状态，正依托现有产能全力保障战略客户的产品交付。前沿技术迭代与终端产品创新催生的 多元化新需求，持续推动半导体测试检测设备市场加速扩容。国际厂商在前期实现产能三倍增长的基础 上持续加码，积极响应行业扩产趋势；公司亦紧跟行业发展浪潮，全力匹配下游客户需求，持续推动测 试环节自主可控。 ...

Investment Rating - The report maintains a "Positive" investment rating for the electronic industry [5] Core Insights - The ongoing shortage of niche storage is expected to continue, with AI demand opening up incremental growth opportunities [2][8] - AI demand is anticipated to drive the need for niche storage, particularly in applications such as automotive, industrial, and security [7] - Domestic manufacturers are positioned competitively in the niche storage market and are likely to benefit from the supply constraints caused by international suppliers exiting this segment [7] Summary by Sections Investment Recommendations and Targets - Key investment targets include domestic storage chip design companies such as Zhaoyi Innovation, Puran, Jucheng, Dongxin, Beijing Junzheng, and Hengshuo [3][8] - Other relevant companies include domestic storage module manufacturers like Jiangbolong, Demingli, and Baiwei Storage, as well as semiconductor equipment firms such as Zhongwei, Jingzhida, and Beifang Huachuang [3][8] - Companies benefiting from storage technology iterations include Lanke Technology, Lianyun Technology, and Aojie Technology [3][8] Market Dynamics - The supply of niche storage products is being significantly reduced as major international suppliers focus on mainstream storage products, leading to a substantial contraction in supply [7] - For instance, the global MLC NAND Flash capacity is projected to decrease by 41.7% in 2026 due to supply shrinkage, which is expected to drive prices significantly higher [7] - Domestic firms are gaining market share in niche storage, with Zhaoyi Innovation holding approximately 18.5% of the NOR Flash market in 2024, ranking second globally [7]

Summary of the Conference Call for Jingzhida (精智达) Company Overview - **Company**: Jingzhida (精智达) - **Industry**: Semiconductor Testing Equipment Key Points and Arguments Product Development and Market Position - Jingzhida has achieved full category coverage in DM or Memory testing machines, with new products accounting for over 20% of total sales, indicating strong market penetration [2][5] - The company has received repeat orders for high-speed FPGA testing machines, validating its capabilities in high-speed testing [2][5] - Aging testing machines and low-speed FPC testing machines have reached historical highs in production, reinforcing the company's position as a core supplier in a mature supply chain [2][5] Major Orders and Financial Outlook - Recently signed a significant order exceeding 1.3 billion RMB, which not only marks a financial milestone but also validates the company's technological roadmap and market position [3][17] - The company plans to complete the delivery of this major order within 2026, aligning with customer production line schedules [4][17] - Expected overall gross margin for 2026 is projected to be between 45% and 50%, with new orders potentially exceeding a 50% margin [9][10] Future Product Launches and R&D - The company is advancing the development of next-generation high-speed products, with the first batch of 18G high-speed FT engineering samples delivered to customers by the end of 2025 [6][8] - Plans to accelerate the launch of testing equipment for computing power chips and AI chips in 2026, while exploring comprehensive testing solutions with key domestic clients [6][20] Industry Trends and Challenges - The semiconductor industry is experiencing high demand, with clear expansion plans and significant capacity gaps expected in the coming years [12][14] - The company is actively expanding production capacity to meet strategic customer delivery requirements and to ensure domestic testing capabilities [7][20] - There is a notable increase in demand for high-speed testing, precision temperature control testing, and complex structure testing, necessitating a rapid response to customer needs [15][20] Pricing and Market Dynamics - The price of high-speed or ultra-high-speed HBM testing equipment has significantly increased, with prices being 2-3 times higher than ordinary DRAM products due to increased technical complexity [16][18] - The market for testing machines is not only growing in quantity but also in the value per unit, driven by advancements in technology and increased testing requirements [16][19] Strategic Vision - The company aims to leverage its core technologies and market position to achieve breakthroughs and scale in 2026, with high-end, new, and high-speed products expected to enter mass production [8][20] - Jingzhida is committed to enhancing its core position in the testing machine sector and supporting clients in the storage field (Memory, DRAM, NAND) and computing power chips [17][20]

Company and Industry Summary Company: HBMCP (High Bandwidth Memory Test Machine) Key Points - HBMCP has successfully secured orders, achieving breakthroughs in various product categories including CP (test machines), FT (final testing), aging tests, and probe cards [1] - Revenue from related businesses reached 1.3 billion, with FT high-speed products and HBMCP accounting for 20% of this revenue; when including FT low-speed products, the combined share of FT and CP products exceeds 40% [1] - New orders for 2026 are projected to at least double compared to 2025, with 2025 new orders estimated at approximately 1.6 billion, setting a minimum target of 3.2 billion for 2026 [1] - The overall gross margin is expected to maintain between 45% and 50%, with the gross margin for orders in the second half of the year exceeding 50%, primarily due to an increased share of FT and CP products [1] - Significant progress is anticipated for GPU test machines in 2026 [1] Industry Insights - The company plans to allocate part of its production capacity to meet the demands of clients beyond Changxin Storage, including Yangtze Memory, customers in Fujian, and H clients, thereby expanding its customer base [2] - The market forecast for new orders in 2026 is maintained at 3.5 billion, corresponding to a net profit of 875 million, with a price-to-earnings (PE) ratio of 40, leading to a market capitalization estimate of 35 billion [2] - The GPU test machine is set to launch a demo model in June this year, with a strategic partnership established with Cambricon; the domestic GPU test machine market is approximately 8 billion, with a target market share of 30% for the company, translating to a net profit of 600 million, and a market capitalization estimate of 24 billion based on a 40 PE ratio [2]