钧达股份触及涨停，聚和材料、亿晶光电、固德威、帝科股份、锦浪科技、泽润新能等跟涨。 (本文来自第一财经) ...

证券日报网讯2月25日，帝科股份（300842）在互动平台回答投资者提问时表示，公司子公司因梦晶凯 已经量产LPDDR3/4/4X、LPDDR5/5X、DDR4等系列产品，并布局CXL、LpwHBM等高性能产品，应 用场景满足从移动端到AI高带宽应用，未来公司将继续加大存储市场开发和产品研发力度，把握高景 气市场机遇。 ...

格隆汇2月25日丨帝科股份(300842.SZ)在投资者互动平台表示，公司持续关注导电浆料在太空光伏等高 可靠性需求领域的应用。针对不同的商用太空光伏电池技术路线，公司都开发储备了耐辐射、耐极端冷 热冲击等严苛工况条件的太空级高可靠性导电浆料产品与技术，其中部分导电浆料产品实现商用卫星太 阳翼使用。 ...

2月25日，帝科股份在互动平台回复投资者提问时称，针对不同的商用太空光伏电池技术路线，公司开 发储备了耐辐射、耐极端冷热冲击等严苛工况条件的太空级高可靠性导电浆料产品与技术，其中部分导 电浆料产品已应用于商用卫星太阳翼。 ...

继续坚定看好国产AI&海外发散： 继续坚定看好国产AI&海外发散： 1.国产算力：H和#海光信息，H主要看#华正新材，禾盛新材，IDC：#金开新能 2.存储： 雅克科技、帝科股份、开普云，闪迪美光7709 3.应用：#看好优刻得、首都在线、青云科技、中控技术、合合信息、真爱美家、德才股份（联系岚琪） 4.上游： 宏和科技、东材科技、延江股份 5.液冷： 飞龙股份、华光新材、江南新材 6.OCS：君逸数码（OCS上游透镜阵 ...

【招商电新】开工大吉 关注叠瓦组件设备、叠瓦粘胶 太空光伏电池片极致减重与柔性的前提下，超薄硅片很脆弱，如采用串焊极易造成硅片碎裂，且硅与焊带膨胀系 数差异大，在轨极端温变情况下，脱焊概率大。 使用叠瓦结构，硅片柔性连接，焊点数量少，机械应力有效分散，隐裂、破碎风险小。 除此之外，叠瓦结构能够实现电池片零间距，相同太阳翼面积下，有效发电面积提升。 【招商电新】开工大吉 关注叠瓦组件设备、叠瓦粘胶 太空光伏电池片极致减重与柔性的前提下，超薄硅片很脆弱，如采用串焊极易造成硅片碎裂，且硅与焊带膨胀系 数差异大，在轨极端温变情况下，脱焊概率大。 使用叠瓦结构，硅片柔性连接，焊点数量少，机械应力有效分散，隐裂、破碎风险小。 建议关注： ➡ST京机：全资子公司晟成光伏组件整线设备领先，在北美光伏组件设备市占率超50%，并已实质供货北美头部 企业 公司叠瓦设备很早就有储备，业界反馈，公司是北美知名公司地面叠瓦整线的独供！ 后续北美地面/太空光伏如果普遍采用叠瓦结构，有望带来较大弹性（价值量为国内2倍，盈利能力5倍以上） ➡帝科股份：光伏银浆领先企业，研发见长；公司与控股子公司索特（原杜邦浆料）有高低温银浆全球核心专利 优势 ...

每经AI快讯，据证券时报·数据宝统计，1月以来，调研机构数在50家及以上且评级机构数在10家及以上 的公司，合计有35家。其中，大金重工获得318家机构调研居首。从评级机构数来看，中际旭创获34家 机构评级居首。江苏银行、上海银行、南京银行3只银行股进入榜单，其中江苏银行有多达133家机构调 研。数据显示，上榜个股今年以来平均涨幅超过16%，远超大盘同期表现。其中，帝科股份、菜百股 份、洁美科技、美好医疗等个股均涨超40%。 ...

Group 1 - A total of 874 private equity firms have participated in A-share market research as of February 14, 2026, covering 28 Shenwan first-level industries and 501 stocks, with a cumulative research count of 2845 times, indicating an accelerated investment pace in the new year [1] - Major private equity firms such as Freshwater Spring, Gao Yi Asset, Panjing Investment, and Harmony Huiyi Asset are focusing their research on strategic emerging industries including new energy, high-end manufacturing, artificial intelligence, and semiconductors [1] Group 2 - Among the stocks that have received at least 10 private equity research visits this year, 84 stocks are identified, with Dajin Heavy Industry in the power equipment sector leading with 64 visits, making it the most researched stock [3] - Other notable stocks include Dike Co. and Tiensun Wind Power, which received 41 and 33 research visits respectively, attracting attention from multiple private equity firms [3] - The research focus is concentrated in sectors such as power equipment, computers, electronics, machinery, and automobiles, with a preference for leading companies and high-growth stocks [3] - A total of 61 private equity firms have conducted at least 10 research visits this year, including 20 billion-level private equity firms, with prominent names like Zhengyuan Investment, Freshwater Spring, and Gao Yi Asset leading the way [3]

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 proven effective in various studies[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 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 and indices with strong momentum and highlights market leaders, aligning with the principles of momentum investing[11][18]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on selecting stocks that exhibit stable price paths and consistent momentum, as smoother price trajectories tend to yield stronger momentum effects[24]. - **Model Construction Process**: Stocks are filtered from the pool of those that hit a 250-day high in the past 20 trading days. The selection criteria include: - 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: Evaluated using the following metrics: - Absolute value of price changes over the past 120 days - Sum of absolute daily price changes over the past 120 days - Momentum continuity: - Average 250-day new high distance over the past 120 days - Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected[24][26]. - **Model Evaluation**: The model emphasizes smooth price trajectories and consistent momentum, which are less likely to attract excessive attention, thereby enhancing the momentum effect[24]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance (as of February 13, 2026)**: - Shanghai Composite Index: 2.00% - Shenzhen Component Index: 2.35% - CSI 300: 2.72% - CSI 500: 3.51% - CSI 1000: 3.14% - CSI 2000: 2.54% - ChiNext Index: 3.32% - STAR 50 Index: 5.50%[12][13]. 2. Stable New High Stock Selection Model - **Selected Stocks**: 50 stocks were identified, including Zhongtung High-tech, Dike Co., and Xiechuang Data. - **Sector Distribution**: - Technology: 21 stocks (most from the electronics industry) - Manufacturing: 16 stocks (most from the machinery industry)[27][32]. --- 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 effectively identifies stocks with strong momentum and aligns with established momentum strategies[11][18]. 2. Factor Name: Price Stability - **Factor Construction Idea**: Evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Absolute value of price changes over the past 120 days - Sum of absolute daily price changes over the past 120 days[24]. - **Factor Evaluation**: The factor highlights stocks with stable price movements, which are less likely to attract excessive attention, enhancing the momentum effect[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance (as of February 13, 2026)**: - Shanghai Composite Index: 2.00% - Shenzhen Component Index: 2.35% - CSI 300: 2.72% - CSI 500: 3.51% - CSI 1000: 3.14% - CSI 2000: 2.54% - ChiNext Index: 3.32% - STAR 50 Index: 5.50%[12][13]. 2. Price Stability Factor - **Selected Stocks**: 50 stocks were identified, including Zhongtung High-tech, Dike Co., and Xiechuang Data. - **Sector Distribution**: - Technology: 21 stocks (most from the electronics industry) - Manufacturing: 16 stocks (most from the machinery industry)[27][32].

- The report introduces a quantitative model called "250-day new high distance" to track market trends and identify market hotspots. The model is based on momentum and trend-following strategies, emphasizing the effectiveness of stocks reaching new highs as market indicators. The formula for calculating the 250-day new high distance is: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ where $ Close_t $ represents the latest closing price, and $ 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; otherwise, it is a positive value indicating the degree of fallback from the new high[11][12][13] - The report evaluates the model positively, citing its ability to capture market trends and identify leading stocks that perform well during market uptrends. It references studies by [George@2004], William O'Neil, and Mark Minervini, which support the idea that stocks near their 52-week highs tend to outperform those far from their highs[11][18][21] - The report provides backtesting results for the 250-day new high distance model. As of February 13, 2026, major indices such as the Shanghai Composite Index, Shenzhen Component Index, CSI 300, CSI 500, CSI 1000, CSI 2000, ChiNext Index, and STAR 50 Index have respective 250-day new high distances of 2.00%, 2.35%, 2.72%, 3.51%, 3.14%, 2.54%, 3.32%, and 5.50%[12][31] - The report introduces a quantitative factor called "Stable New High Stocks" to identify stocks with smooth price paths and consistent momentum. The factor construction involves screening stocks that have reached a 250-day new high in the past 20 trading days and applying criteria such as analyst attention (at least five buy or overweight ratings in the past three months), relative price strength (top 20% in 250-day returns), price path smoothness (measured by price displacement ratio), and sustained new high performance (average 250-day new high distance over the past 120 days and past 5 days)[24][26][27] - The report evaluates the factor positively, citing research by [Turan G Bali, Nusret et al@2011] and [Da, Gurun et al@2012], which highlight the superior performance of stocks with smooth price paths and strong momentum. The factor is designed to capture these characteristics effectively[24][26][27] - Backtesting results for the "Stable New High Stocks" factor show that 50 stocks were selected based on the criteria, with the highest representation in the technology and manufacturing sectors. Specifically, 21 stocks from the technology sector (dominated by the electronics industry) and 16 stocks from the manufacturing sector (dominated by the machinery industry) were included[27][32][30]