来源：新浪证券-红岸工作室 12月11日，华是科技跌3.89%，成交额1.61亿元，换手率9.80%，总市值26.21亿元。 区间今日近3日近5日近10日近20日主力净流入-2325.20万-4242.20万-3325.28万-4793.12万-6234.29万 异动分析 智慧政务+数据安全+数据要素+智慧城市+共同富裕示范区 1、公司主营业务为智慧政务、智慧民生、智慧建筑等智慧城市细分领域客户提供项目设计、信息系统 开发、软硬件采购、系统集成及运维服务的一站式综合解决方案。 2、2022年3月17日公司互动回复：公司承接过一些网络安全和数据安全方面项目。 3、2023年8月25日互动易回复：公司在数据要素上已经有所规划，如我们在内河航道应用上积累了大量 大数据，在"智慧港航"进行了大数据深度处理和挖掘，形成了自己的数据要素积累，并计划在未来的智 慧港航应用中体现数据价值。 4、公司主营业务为智慧政务、智慧民生、智慧建筑等智慧城市细分领域客户提供项目设计、信息系统 开发、软硬件采购、系统集成及运维服务的一站式综合解决方案。 5、公司地处浙江省杭州市余杭区，主营业务是为智慧政务、智慧民生、智慧建筑等智慧城市细分 ...

天眼查App显示，近日，江西鹰空科技有限公司成立，法定代表人为江文强，注册资本1000万人民币， 经营范围为一般项目：智能无人飞行器制造，智能无人飞行器销售，机械设备租赁，人工智能应用软件 开发，人工智能理论与算法软件开发，人工智能硬件销售，卫星导航服务，信息系统集成服务，技术服 务、技术开发、技术咨询、技术交流、技术转让、技术推广，数据处理服务，国内贸易代理，电子产品 销售，计算机软硬件及外围设备制造，计算机系统服务（除依法须经批准的项目外，凭营业执照依法自 主开展经营活动）。 ...

12月10日，Wind数据显示，A股市场共计61只个股涨停。其中卫星导航概念股龙洲股份收获6连板，港 口物流板块厦门港务4连板，影视股博纳影业3连板。一图速览今日连板股>> 连板股追踪丨A股今日共61只个股涨停 龙洲股份6连板 ...

Group 1 - The article highlights significant announcements related to the stock market, including "suspensions and resumption of trading, shareholding changes, investment wins, acquisitions, performance reports, unlocks, and high transfers" [1] - A company successfully launched dozens of commercial satellites and possesses aerospace-grade navigation chips and satellite application products, indicating strong capabilities in the 6G, commercial aerospace, chip, satellite navigation, military industry, and state-owned enterprise reform sectors [1] - Another company is experiencing rapid growth in orders for its satellite testing systems, which are linked to space computing, commercial aerospace, artificial intelligence, satellite navigation, and military applications [1] - A company plans to acquire equity in a high-quality enterprise in the civil aviation intelligence sector, which is associated with cross-strait relations, the Fujian Free Trade Zone, and state-owned enterprise reform [1]

Core Insights - The A-share market saw a total of 54 stocks hitting the daily limit up on December 9, with notable performance in the commercial aerospace sector, where stocks like Dahua Intelligent and Daye Co. achieved two consecutive limit-ups [1][2]. Group 1: Stock Performance - Anji Food topped the list with six consecutive limit-ups, categorized under the seasoning industry [2] - Longzhou Co. and Junya Technology both recorded five consecutive limit-ups, associated with satellite navigation and humanoid robotics, respectively [2] - Shuhua Sports achieved four consecutive limit-ups, linked to the ice and snow industry [2] Group 2: Other Notable Stocks - Xiamen Port and Kunxing Co. both had three consecutive limit-ups, related to port logistics and metal packaging [2] - Dongbai Group, Bona Film, and Annie Co. each recorded two consecutive limit-ups, associated with first-store economy, film and cinema, and paper printing, respectively [2] - Several stocks in the commercial aerospace sector, including Dahua Intelligent and Daye Co., also achieved two consecutive limit-ups [2]

Group 1 - The stock of Guanghetong experienced a maximum increase of over 29% this week, driven by themes such as edge AI, AI glasses, and robotics [1] - The stock of Xiamen Xinda achieved a weekly increase of 16%, with a maximum weekly increase of nearly 23% [2] - Fulong Technology saw a weekly increase of 27.63%, with a maximum weekly increase exceeding 43% [1] - The stock of Shida Group gained nearly 20% this week, with a maximum increase of 28% [1] Group 2 - The aerospace and satellite navigation sectors continue to be the focus of attention, with stocks like Qianzhao Optoelectronics and Tongyu Communication being highlighted [1] - Financial and brokerage stocks showed unusual activity, with attention on stocks such as Dongfang Caifu and Guizhen [2] - In the optical communication sector, stocks like Saiwei Electronics and Taicheng Light were noted for their potential [2] Group 3 - The top performers in the stock selection competition included stocks like Zhixiang Jintai and Minsheng Bank, with notable price points of 27.95 and 4.01 respectively [3] - The competition featured a variety of stocks, with participants selecting based on themes such as commercial aerospace and market trends [3] - The weekly average returns for top competitors ranged from 4.38% to 6.10%, indicating strong performance in stock selection [4][5]

人民财讯12月8日电，A股三大指数集体高开，沪指涨0.16%，深证成指涨0.24%，创业板指涨0.32%。盘 面上，商业航天、大飞机、卫星导航、核聚变、券商等板块涨幅居前；锂电电解液、服务器、氟化工、 煤炭等板块跌幅居前。 ...

- The report introduces a quantitative model based on the "250-day new high distance" to track market trends and identify investment hotspots. The calculation formula is: $ 250\text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ where $\text{Close}_{t}$ represents the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days. If the latest closing price hits a new high, the distance is 0; otherwise, it is a positive value indicating the degree of fallback [11][19][26] - The model evaluates the effectiveness of momentum and trend-following strategies, referencing studies by George (2004), William O'Neil's CANSLIM framework, and Mark Minervini's "Stock Market Wizard," which emphasize the importance of stocks near their 52-week highs as potential leaders in market uptrends [11][18][21] - A screening method for "stable new high stocks" is introduced, focusing on factors such as analyst attention, relative stock strength, price path smoothness, and sustained new highs. Key metrics include: - Analyst attention: At least 5 buy or overweight ratings in the past 3 months - Relative stock strength: Top 20% in 250-day returns - Price path smoothness: Evaluated using metrics like price displacement ratio - Sustained 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 [26][28][29] - The report identifies 41 "stable new high stocks" based on the above criteria, with the majority belonging to cyclical and manufacturing sectors. Notable industries include non-ferrous metals and machinery [29][30][32] - Backtesting results show that cyclical and manufacturing sectors have the highest number of stocks achieving new highs, with cyclical stocks leading in non-ferrous metals and manufacturing stocks excelling in machinery [19][20][29]

Quantitative Models and Construction Methods Model Name: 250-Day New High Distance Model - **Model Construction Idea**: The model is based on the concept that stocks nearing their 52-week high tend to outperform those further away from their highs, as supported by prior research and methodologies like CANSLIM and momentum strategies[11][18] - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250 \text{-day new high distance} = 1 - \frac{\text{Closet}}{\text{ts\_max(Close, 250)}} $ - **Closet**: The latest closing price - **ts\_max(Close, 250)**: 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 has fallen from the high, the distance is a positive value representing the degree of decline[11] - **Model Evaluation**: The model effectively identifies stocks and indices that are leading the market trends, serving as a useful tool for tracking momentum and market hotspots[11][18] Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on identifying stocks with smooth price paths and consistent momentum, as smoother momentum stocks tend to outperform those with jumpy price paths[26] - **Model Construction Process**: Stocks are selected from those that have reached a 250-day new high in the past 20 trading days, based on the following criteria: 1. **Analyst Attention**: At least 5 "Buy" or "Overweight" ratings in the past 3 months 2. **Relative Strength**: Top 20% in 250-day price performance 3. **Price Stability**: - **Price Path Smoothness**: Measured by the ratio of price displacement to total price movement - **Sustained New Highs**: Average 250-day new high distance over the past 120 days 4. **Trend Continuity**: Average 250-day new high distance over the past 5 days, with the top 50 stocks selected based on rankings[26][28] - **Model Evaluation**: The model emphasizes smooth momentum and sustained trends, which are less likely to attract excessive attention, potentially leading to stronger momentum effects[26] --- Model Backtesting Results 250-Day New High Distance Model - **Indices' 250-Day New High Distances**: - Shanghai Composite: 3.14% - Shenzhen Component: 4.21% - CSI 300: 3.44% - CSI 500: 5.98% - CSI 1000: 4.00% - CSI 2000: 2.50% - ChiNext Index: 6.47% - STAR 50 Index: 13.84%[12][33] Stable New High Stock Selection Model - **Selected Stocks**: 41 stocks were identified as stable new high stocks, including Zhongji Xuchuang, Guangku Technology, and Yaxiang Jicheng[29][34] - **Sector Distribution**: - Cyclical Sector: 17 stocks, with the majority in the non-ferrous metals industry - Manufacturing Sector: 13 stocks, with the majority in the machinery industry[29][34] --- Quantitative Factors and Construction Methods Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's latest closing price compared to its 250-day high, capturing momentum and trend-following characteristics[11] - **Factor Construction Process**: $ 250 \text{-day new high distance} = 1 - \frac{\text{Closet}}{\text{ts\_max(Close, 250)}} $ - **Closet**: The latest closing price - **ts\_max(Close, 250)**: The maximum closing price over the past 250 trading days[11] Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the smoothness of a stock's price movement, as smoother paths are associated with stronger momentum effects[26] - **Factor Construction Process**: - Calculated as the ratio of price displacement to the total price movement over a given period[26] Factor Name: Sustained New Highs - **Factor Construction Idea**: Tracks the consistency of a stock's ability to maintain new highs over time, reflecting sustained momentum[26] - **Factor Construction Process**: - Average 250-day new high distance over the past 120 days[28] Factor Name: Trend Continuity - **Factor Construction Idea**: Measures the short-term continuation of a stock's trend, emphasizing recent momentum[26] - **Factor Construction Process**: - Average 250-day new high distance over the past 5 days, with stocks ranked and selected based on this metric[28] --- Factor Backtesting Results 250-Day New High Distance Factor - **Indices' 250-Day New High Distances**: - Shanghai Composite: 3.14% - Shenzhen Component: 4.21% - CSI 300: 3.44% - CSI 500: 5.98% - CSI 1000: 4.00% - CSI 2000: 2.50% - ChiNext Index: 6.47% - STAR 50 Index: 13.84%[12][33] Price Path Smoothness Factor - **Selected Stocks**: 41 stocks were identified, with the majority belonging to the cyclical and manufacturing sectors[29][34] Sustained New Highs Factor - **Selected Stocks**: Stocks with consistent new highs over the past 120 days were prioritized, with examples including Zhongji Xuchuang and Guangku Technology[29][34] Trend Continuity Factor - **Selected Stocks**: Stocks with the highest rankings in 5-day trend continuity were included, emphasizing short-term momentum[28][29]

报 告 摘 要 乘势而起：市场新高趋势追踪 触及新高的个股、行业和板块可被视为市场的风向标。越来越多的研究表明动量、趋势跟踪策略的有效性。本报告旨在定期跟踪市场中创新高的个股及其 分布，以追踪市场趋势、把握市场热点。 截至2025年12月5日，上证指数、深证成指、沪深300、中证500、中证1000、中证2000、创业板指、科创50指数250日新高距离分别为3.14%、 4.21%、3.44%、5.98%、4.00%、2.50%、6.47%、13.84%。中信一级行业指数中家电、轻工制造、有色金属、通信、建材行业指数距离250日新高 较近，食品饮料、综合金融、银行、医药、商贸零售行业指数距离250日新高较远。概念指数中，卫星互联网、卫星导航、家用电器、家居用品、林木、黄 金、家用电器等概念指数距离250日新高较近。 见微知著：利用创新高个股进行市场监测 截至2025年12月5日，共965只股票在过去20个交易日间创出250日新高。其中创新高个股数量最多的是基础化工、电力设备及新能源、机械行业，创新 高个股数量占比最高的是煤炭、纺织服装、石油石化行业。按照板块分布来看，本周周期、制造板块创新高股票数量最多；按照 ...