| 代码 | 简称 | 今日涨跌幅（%） | 今日换手率（%） | 主力资金流量（万元） | | --- | --- | --- | --- | --- | | 300433 | 蓝思科技 | 14.95 | 5.47 | 158110.35 | | 300102 | 乾照光电 | 20.01 | 20.59 | 125685.58 | | 300136 | 信维通信 | 15.43 | 24.08 | 63476.21 | | 688270 | 臻镭科技 | 20.00 | 14.32 | 58525.62 | | 603920 | 世运电路 | 9.99 | 6.01 | 43272.83 | | 600703 | 三安光电 | 5.75 | 5.47 | 42689.06 | | 603078 | 江化微 | 10.00 | 23.74 | 37576.97 | | 000100 | TCL科技 | 2.85 | 5.58 | 34406.06 | | 002185 | 华天科技 | 3.10 | 14.24 | 31146.62 | | 002049 | 紫光国微 | 3.41 | 6.12 | 28 ...

沪指本周上涨0.84%，深成指上涨1.11%，创业板指下跌0.34%，沪深300指数下跌0.62%。可交易A股 中，上涨的有4214只，占比77.04%，下跌的1229只。 资金面上，本周主力资金合计净流出1496.42亿元。其中，创业板主力资金净流出568.77亿元；科创板主 力资金净流出208.26亿元；沪深300成份股主力资金净流出557.03亿元。 本周主力资金流向概况（单位：亿元） | 日期 | 深沪两市 | 创业板 | 科创板 | 沪深300 | | --- | --- | --- | --- | --- | | 一周合计 | -1496.42 | -568.77 | -208.26 | -557.03 | | 1月23日 | -85.76 | 25.34 | -29.26 | -219.64 | | 1月22日 | -216.12 | -1.47 | -51.38 | -116.01 | | 1月21日 | 119.83 | -52.21 | 34.57 | 136.27 | | 1月20日 | -957.23 | -361.69 | -107.81 | -248.80 | | 1月19日 | ...

资金面上看，两市主力资金全天净流出85.76亿元，今日有12个行业主力资金净流入，电力设备行业主 力资金净流入规模居首，该行业今日上涨3.50%，全天净流入资金123.23亿元，其次是有色金属行业， 日涨幅为2.73%，净流入资金为54.32亿元。 沪指1月23日上涨0.33%，申万所属行业中，今日上涨的有23个，涨幅居前的行业为电力设备、有色金 属，涨幅分别为3.50%、2.73%。电力设备行业位居今日涨幅榜首位。跌幅居前的行业为通信、银行， 跌幅分别为1.52%、0.90%。 主力资金净流出的行业有19个，电子行业主力资金净流出规模居首，全天净流出资金130.25亿元，其次 是通信行业，净流出资金为69.11亿元，净流出资金较多的还有机械设备、公用事业、建筑装饰等行 业。 电力设备行业今日上涨3.50%，全天主力资金净流入123.23亿元，该行业所属的个股共365只，今日上涨 的有313只，涨停的有28只；下跌的有51只。以资金流向数据进行统计，该行业资金净流入的个股有201 只，其中，净流入资金超亿元的有51只，净流入资金居首的是隆基绿能，今日净流入资金27.62亿元， 紧随其后的是金风科技、先导智能， ...

资金面上，今日主力资金全天净流出85.76亿元。其中，创业板主力资金净流入25.34亿元；科创板主力 资金净流出29.26亿元；沪深300成份股主力资金净流出219.64亿元。 1月23日，沪指上涨0.33%，深成指上涨0.79%，创业板指上涨0.63%，沪深300指数下跌0.45%。可交易 A股中，上涨的有3941只，占比72.09%，下跌的1390只。 行业资金流向方面，今日有12个行业主力资金净流入，电力设备行业主力资金净流入规模居首，该行业 今日上涨3.50%，全天净流入资金123.23亿元，其次是有色金属行业，日涨幅为2.73%，净流入资金为 54.32亿元。 （文章来源：证券时报网） 主力资金净流出的行业有19个，电子行业主力资金净流出规模居首，今日上涨0.31%，全天净流出资金 130.25亿元，其次是通信行业，今日跌幅为1.52%，净流出资金为69.11亿元，净流出资金较多的还有机 械设备、公用事业、建筑装饰等行业。 今日各行业资金流向 | 行业 | 日涨跌幅（%） | 资金流向（亿元） | 行业 | 日涨跌幅（%） | 资金流向（亿元） | | --- | --- | --- | --- | ...

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]

Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots, with a focus on the effectiveness of momentum and trend-following strategies [1][4] - As of January 23, 2026, the Shanghai Composite Index, Shenzhen Component Index, and other major indices have varying distances from their 250-day highs, with the Shanghai Composite at 0.70% and the Shenzhen Component at 0.00% [5][25] - Among the CITIC first-level industry indices, sectors such as machinery, automotive, non-ferrous metals, textiles, and steel are closest to their 250-day highs, while food and beverage, banking, agriculture, pharmaceuticals, and non-bank financials are further away [8][25] Group 2 - A total of 1,464 stocks reached 250-day highs in the past 20 trading days, with the highest numbers in the machinery, electronics, and basic chemicals sectors [2][13] - The highest proportion of new high stocks is found in the defense, non-ferrous metals, and oil and petrochemicals sectors, with respective proportions of 63.11%, 61.79%, and 48.00% [13][15] - The manufacturing and technology sectors have the most stocks reaching new highs this week, with respective counts of 482 and 459 [15] Group 3 - The report identifies 50 stocks with stable new highs, focusing on analyst attention, relative strength, price path stability, and continuity of new highs, with the most stocks from the cyclical and technology sectors [3][20] - The cyclical sector has the highest number of new highs in the basic chemicals industry, while the technology sector has the most in the electronics industry [20][26]

证券之星消息，1月23日其他电子板块较上一交易日下跌0.46%，盈方微领跌。当日上证指数报收于 4136.16，上涨0.33%。深证成指报收于14439.66，上涨0.79%。其他电子板块个股涨跌见下表： | 代码 | 名称 | 收盘价 | 涨跌幅 | 成交量(手) | 成交额(元) | | | --- | --- | --- | --- | --- | --- | --- | | 300516 | 久之洋 | 76.13 | 8.71% | 18.07万 | | 13.64亿 | | 002859 | 洁美科技 | 38.44 | 6.78% | 17.16万 | | 6.55亿 | | 301275 | 汉朔科技 | 65.54 | 3.95% | 6.29万 | | 4.06亿 | | 301099 | 雅创电子 | 52.15 | 3.74% | 13.18万 | | 6.76亿 | | 300991 | 创益通 | 41.79 | 1.63% | 2.47万 | | 1.03亿 | | 688103 | 国力电子 | 68.59 | 1.40% | 2.17万 | | 1.47亿 | | 00292 ...

Core Viewpoint - The public fund holdings in 2025 show a significant shift towards technology growth sectors, moving away from traditional consumer and financial sectors [9][10]. Group 1: Changes in Top Holdings - Ningde Times consistently ranked as the top holding throughout 2025, with a market value of 146.8 billion in Q1, 142.7 billion in Q2, 207.1 billion in Q3, and 181.9 billion in Q4 [3]. - Guizhou Moutai, a traditional consumer staple, saw a decline in its ranking and market value, dropping from second place at the beginning of the year to fifth by Q4 [10]. - Tencent Holdings maintained a relatively stable position, fluctuating between second and fourth place [10]. - Notable rises in rankings were observed for Zhongji Xuchuang and Xinyi Sheng, both of which entered the top ten in Q3 and continued to rise in Q4, indicating a strong interest in AI-related stocks [10]. Group 2: Changes in Industry Holdings - The electronics sector remained the top industry for public fund holdings across all four quarters of 2025, with investment values increasing from 518.9 billion in Q1 to 774.5 billion in Q4 [6]. - The food and beverage sector declined from second place in Q1 to seventh place by Q4, reflecting a shift in investor preference [12]. - The medical and biological sector, which ranked high in the first three quarters, was overtaken by the electric equipment and communication sectors in Q4 [12]. - The electric equipment sector improved its ranking from fourth to second place by Q4, while the communication sector rose from outside the top ten to third place [12]. - Non-bank financial and banking sectors experienced an overall decline in rankings, while the non-ferrous metals sector entered the top six in Q4 [13].

Core Viewpoint - The public fund holdings in 2025 show a significant shift towards technology growth sectors, moving away from traditional consumer and financial sectors, with Ningde Times consistently ranking as the top heavy stock throughout the year [9][10]. Group 1: Changes in Top Holdings - Ningde Times maintained its position as the top heavy stock across all quarters, with a market value of 146.8 billion in Q1, 142.7 billion in Q2, 207.1 billion in Q3, and 181.9 billion in Q4 [3]. - Guizhou Moutai, a traditional consumer staple, saw a decline in its ranking and market value, dropping from second place at the beginning of the year to fifth by Q4 [10]. - Tencent Holdings remained relatively stable, fluctuating between second and fourth positions throughout the year [10]. - Notable rises in rankings were observed for technology stocks such as Zhongji Xuchuang and Xinyi Sheng, which entered the top ten in Q3 and Q4, indicating a strong demand driven by AI computing needs [10]. Group 2: Changes in Industry Holdings - The electronics sector consistently ranked as the top industry for public fund holdings across all four quarters, with investment values increasing from 518.9 billion in Q1 to 774.5 billion in Q4 [6]. - The food and beverage sector declined from second place in Q1 to seventh place by Q4, reflecting a shift in investor preference [12]. - The medical and biological sector maintained a strong presence in the first three quarters but was surpassed by the electric equipment and communication sectors in Q4 [12]. - The electric equipment sector rose from fourth place at the beginning of the year to second place by Q4, while the communication sector made a notable leap from outside the top ten to third place [12]. - Non-bank financial and banking sectors experienced an overall decline in rankings, while the non-ferrous metals sector entered the top six in Q4 [13].

固收加锐不可当，延续增长 [Table_Authors] 刘玉(分析师) 25Q4 公募基金转债持仓分析 本报告导读： Q4 固收+规模延续增长态势，震荡市下小幅增配权益、明显增持金融债，在提升权 益暴露的同时控制波动。 投资要点： 债券研究 /[Table_Date] 2026.01.23 | | 021-38038263 | | --- | --- | | | liuyu6@gtht.com | | 登记编号 | S0880523050002 | | | 孙飞帆(研究助理) | | | 021-23185647 | | | sunfeifan@gtht.com | | 登记编号 | S0880125042242 | [Table_Report] 相关报告 带"负久期"特征的基金产品平均超额收益再测 算 2026.01.19 考虑政府债久期拉长与存款置换：大行 EVE 指标 空间再测算的四个要点 2026.01.15 长债供给放量，需要担忧资金收敛吗 2026.01.13 债券 ETF 持续缩量 2026.01.12 "负久期"、信用套息和地方债套保 2026.01.10 证 券 研 究 报 告 研 究 [ ...