【臻选回顾】 1月25日提示《机器人概念+存储芯片+算力+专精特新！公司控股子公司签订13.11亿元半导体测试 设备销售合同》，精智达26日、27日、28日分别上涨1.34%、10.39%、2.65%，3个交易日累计涨 幅接近15%；1月25日提示《存储芯片+数据中心+阿里巴巴概念！公司已取得SK海力士、MTK的代 理权以及AMD的经销商资质，2025年净利同比预增82%-135%》，香农芯创26日、27日、28日分 别上涨3.14%、2.36%、5.00%，3个交易日累计涨幅10.85%；1月26日提示《黄金+铜+有色金属 +小金属+央国企改革！国际金价续创新高，公司拟280亿元巨资拿下国际金矿资源》紫金矿业27 日、28日、29日分别上涨2.81%、4.16%、2.72%，3个交易日累计上涨10%。 面对每晚海量的公告无从下手？《公告臻选》助你高效决策！专业筛选每晚最重要的关键公告，提供通 俗易懂的深度解读，揭示复杂术语背后的投资机会。助你10分钟掌握市场全貌，决胜开盘之前。 前言 ②存储芯片+算力+卫星导航+阿里巴巴概念+专精特新！公司拟定增募资不超9.7亿元，用于集成电路 测试等项目； ③液冷服务器+ ...

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]

登录新浪财经APP 搜索【信披】查看更多考评等级 金融市场瞬息万变，投资与经济政策深刻影响全球。我们为您带来昨夜今晨的财经新闻，涵盖股市动 态、经济数据、企业财务和政策更新，帮助您全面把握金融世界。 从狂热到踩踏，贵金属市场的"两脚刹车" 2026年1月底，国际金银价格在创历史新高后突发暴跌，创40年来最大单日跌幅。分析指出，这并非偶 然，而是市场过热后的技术性回撤。第一脚刹车源于极端上涨后的获利了结与杠杆资金平仓引发的踩 踏。第二脚刹车则因美联储鹰派主席提名及核心PPI数据超预期，动摇了市场对提前降息的押注，推高 实际利率与美元，削弱了黄金的吸引力。中长期看，地缘紧张与全球去美元化趋势仍构成结构性支撑， 但短期市场情绪脆弱，高波动风险需警惕。 组件价格跟着金属期货价格走 义乌中小光伏企业：不敢报价接单 新能源出口退税政策调整与银、铜、铝等金属价格大幅上涨形成双重冲击，导致义乌中小光伏企业陷入 经营困境。组件价格随金属期货剧烈波动，企业无法稳定报价，客户观望情绪浓厚，交易频现毁约。成 本结构中，飙升的白银价格使银浆取代硅料成为最大成本项。面对压力，企业纷纷清空库存避险，并尝 试拓展储能、逆变器业务或使用新材料 ...

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]

- The provided content does not include any quantitative models or factors, nor their construction, evaluation, or backtesting results[1][2][3]

- Quantitative model and factor construction - Model name: None mentioned - Factor name: None mentioned - Model backtesting results - None mentioned - Factor backtesting results - None mentioned

Core Viewpoint - The company is making steady progress in the development of next-generation high-speed testing products, ensuring its continued leadership in the storage technology testing field [1] Group 1: ASIC Chips - The company is advancing the research and development of next-generation high-speed testing products for ASIC chips [1] Group 2: Computing Power Chip Test Machines - The company plans to accelerate the launch of high-end computing power chip testing prototypes, anticipating further progress this year in conjunction with strategic customers' new product timelines [1] Group 3: AI Layout with Smart Glasses - Smart glasses are viewed as a significant entry point in the AI era, with optimistic prospects; the company aims to leverage its entire product line to create a one-stop solution for edge AI, including storage testing, SoC testing, and optical inspection [1]

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。 ...