1.A股市场主力资金净流出41.67亿元 今日A股市场主力资金开盘净流出83.56亿元，尾盘净流入58.37亿元，A股市场全天主力资金净流出41.67亿元。 1月23日，A股市场整体上涨。截至收盘，上证指数报4136.16点，上涨0.33%；深证成指报14439.66点，上涨0.79%；创业板指报3349.5点，上涨0.63%；北 证50指数上涨3.82%。 | | | 沪深两市近五日主力资金流向情况(亿元) | | | | --- | --- | --- | --- | --- | | 日期 | | | 净流入金额 开盘净流入 尾盘净流入 超大单净买入 | | | 2026-1-23 | -41.67 | -83.56 | 58. 37 | 119.93 | | 2026-1-22 | -104. 42 | -78. 12 | 17.97 | -9.81 | | 2026-1-21 | 56. 08 | -41.97 | 6. 26 | 154. 57 | | 2026-1-20 | -764. 07 | -221.93 | -61.61 | -471.97 | | 2026-1-19 | -397.98 ...

年宝是金 wabao WP Fund Reference P. R. R. R. R. R. R. R. R. R. R. R. R. R. B. R. B. R. B. R. B. R. 2026年01月 | 3A系列ETF当日场内行情 ■ A50ETF华宝 中证A100ETF基金 A500ETF华宝 159596 563500 562000 +0.31% -0.47% -0.49% 数据来源:通没交易所导,行情财据和至2026. 4318上市 中正A100EFF基金子202281 | 市,A500ETF华宝于2024.12.2 当日大市行情 HMI +0.33% +0.63% +0.79% 创业板指 上证指数 深证成指 两市成交额3.09万亿元 较上一日+3935亿元 全市场个股涨跌数 1390只 30411 142只 =1 上涨 n 持平 " 下跌 资金净流入TOP3行业(申万一级) MACD金叉信号形成，这些股涨势不错！ EF7710 % +45 52 元元 招商证券:A股在创出前期新高后有望转为震荡走势 进入1月下旬,围绕业绩按露的博弈情绪将会明显升温,业绩超预期 或者业绩披露后靴子落地的方向值得重 ...

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 momentum. It is based on the principle that stocks or indices closer to their recent highs tend to exhibit stronger momentum and potential for future gains[11][19]. - **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 has fallen from the high, the distance is a positive value representing the percentage drop[11]. - **Model Evaluation**: The model effectively captures momentum and trend-following characteristics, aligning with prior research on the predictive power of stocks near their 52-week highs[11][19]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model identifies stocks with stable price movements and consistent new highs, leveraging the idea that smoother price paths and sustained momentum yield better returns[27][29]. - **Model Construction Process**: Stocks are selected based on the following criteria: 1. **Analyst Attention**: At least five "Buy" or "Overweight" ratings in the past three months 2. **Relative Strength**: Top 20% in terms of 250-day price performance 3. **Price Stability**: - **Price Path Smoothness**: Measured by the ratio of price displacement to total price movement over the past 120 days - **Momentum Consistency**: Average 250-day new high distance over the past 120 days 4. **Trend Continuation**: Average 250-day new high distance over the past five days Stocks meeting these criteria are ranked, and the top 50 are selected[27][29]. - **Model Evaluation**: The model emphasizes the importance of smooth price paths and consistent momentum, which are less likely to attract excessive attention and thus may yield stronger returns[27]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite: 0.70% - Shenzhen Component: 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 (e.g., Basic Chemicals) - Technology Sector: 18 stocks (e.g., Electronics)[30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the proximity 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 supported by academic research and practical applications, demonstrating strong predictive power for momentum strategies[11][19]. 2. 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[27]. - **Factor Construction Process**: $ Price\ Path\ Smoothness = \frac{Price\ Displacement}{Total\ Price\ Movement} $ Where: - $ Price\ Displacement $ is the absolute change in price over 120 days - $ Total\ Price\ Movement $ is the sum of absolute daily price changes over 120 days[27]. - **Factor Evaluation**: This factor highlights the importance of consistent price movements, which are less likely to attract excessive attention and thus may yield stronger returns[27]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite: 0.70% - Shenzhen Component: 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 (e.g., Basic Chemicals) - Technology Sector: 18 stocks (e.g., Electronics)[30][35]

（原标题：揭秘涨停丨热门复牌股，封单资金近14亿元！） 据证券时报·数据宝统计，涨停个股中，以所属行业来看，数量居前的行业有电力设备、机械设备、基 础化工，分别有30只、12只、9只。 涨停股中，*ST国华、*ST阳光等17股为ST股。从连续涨停天数看，锋龙股份已连收18个涨停板，连续 涨停板数量最多。 从收盘涨停板封单量来看，明阳智能最受资金追捧，收盘涨停板封单有6442.88万股；其次是协鑫集 成、酒钢宏兴，涨停板封单分别有5446.90万股、4731.40万股。 以封单金额计算，明阳智能、金风科技、钧达股份涨停板封单资金较多，分别有13.95亿元、5.17亿元、 4.46亿元。其中，明阳智能今日复牌，昨日晚间公司公告，拟发行股份及支付现金购买德华芯片100% 股权，并募集配套资金不超交易价格100%。 （原标题：揭秘涨停 | 热门复牌股，封单资金近14亿元！） 截至今日（1月23日）收盘，上证指数报收4136.16点，上涨0.33%；深证成指收于14439.66点，上涨 0.79%；创业板指上涨0.63%；科创50指数上涨0.78%。 不含当日上市新股，今日可交易的A股中，上涨个股有3941只，占比超7 ...

Core Viewpoint - The AI Fund Huashang New Energy Vehicle Mixed A (013886) reported a profit of 28.387 million yuan for Q4 2025, with a weighted average profit per fund share of 0.0407 yuan. The fund's net value growth rate was 6.86%, and its total size reached 448 million yuan by the end of Q4 2025 [2][15]. Fund Performance - As of January 22, the unit net value of the fund was 0.659 yuan. The fund manager, Chen Xiaoqiong, oversees three funds, all of which have shown positive returns over the past year. The highest growth rate among these funds was 105.95% for Huashang High-end Equipment Manufacturing Stock A, while the lowest was 56.95% for Huashang New Energy Vehicle Mixed A [2][3]. Market Overview - In Q4 2025, the A-share market experienced fluctuations, with the Shanghai Composite Index oscillating between 3,800 and 4,030 points, briefly surpassing the 4,000-point mark in October. The Shanghai Composite Index, CSI 300, ChiNext Index, and STAR Market Index saw respective changes of 2.22%, -0.23%, -1.08%, and 10.1% [3]. Investment Strategy - The fund's investment strategy focuses on two main themes: growth and quality. Growth investments are centered around sectors such as lithium batteries, energy storage, solid-state batteries, and AIDC power equipment, with an emphasis on tracking industry developments and selective stock picking. The quality investments are directed towards assets with strong competitive advantages and sustainable profitability [3]. Fund Rankings - As of January 22, the fund's performance over various time frames ranked as follows among comparable funds: 20.14% growth over the last three months (40/621), 51.01% over the last six months (54/621), 56.95% over the last year (141/613), and -24.00% over the last three years (524/535) [3]. Risk Metrics - The fund's Sharpe ratio over the last three years was 0.0231, ranking 495 out of 526 comparable funds. The maximum drawdown during this period was 60.46%, with the largest single-quarter drawdown occurring in Q1 2024 at 32.7% [9][11]. Portfolio Composition - The average stock position of the fund over the last three years was 87.3%, slightly above the comparable average of 85.83%. The fund reached its highest stock position of 92.85% at the end of Q3 2025 and its lowest of 74.26% at the end of H1 2024 [14]. Top Holdings - As of the end of Q4 2025, the fund's top ten holdings included Ningde Times, Sunshine Power, Tianci Materials, Duofluor, Huasheng Lithium, Huayou Cobalt, Guocheng Mining, Xian Dao Intelligent, Penghui Energy, and Nord Shares [18].

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 | ...

Group 1 - The average stock price of A-shares is 14.84 yuan, with 29 stocks priced below 2 yuan, the lowest being *ST Aowei at 0.73 yuan [1] - Among the low-priced stocks, 8 are ST stocks, accounting for 27.59% of the total [1] - In terms of market performance, 26 of the low-priced stocks increased in price, with *ST Changyao, *ST Lifang, and Yabo shares leading the gains at 19.48%, 13.91%, and 10.06% respectively [1] Group 2 - The stock price rankings of low-priced stocks show *ST Aowei at 0.73 yuan with a daily decline of 5.19%, while *ST Changyao and *ST Lifang have daily increases of 19.48% and 13.91% respectively [1] - The trading volume for *ST Changyao is notable with a turnover rate of 19.92%, while *ST Lifang has a turnover rate of 26.78% [1] - Other low-priced stocks include *ST Jinke at 1.49 yuan and Chongqing Steel at 1.54 yuan, with respective daily changes of 0.68% and 2.67% [1]

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]

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。 Close_t为最新收盘价，ts_max(Close,250)为过去250个交易日收盘价的最大值。若最新收盘价创出新高，则250日新高距离为0；若最新收盘价较新 高回落，则250日新高距离为正值，表示回落幅度。 指数相对近250日新高距离 截至2026年1月23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0.70%、 0.00%、1.84%、0.00%、0.00%、0.00%、1.15%、0.00%。中信一级行业指数中机械、汽车、有色金属、纺织服装、钢铁行业指数距离250日新高较 近，食品饮料、银行、农林牧渔、医药、非银行金融行业指数距离250日新高较远。概念指数中，万得光伏、华为平台、光伏、风力发电、新能源、汽车零 配件与设备、万得双创等概念指数距离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2026 ...

出品｜公司研究室 å文｜雪岩 据不完全统计，截至1月21日收盘时，A股共有587家上市公司披露了2025年度业绩预告。从净利润增幅上限来看，超五成上市公司业绩预喜（包括预增、略 增、续盈、扭亏）。 二级市场对个股业绩关注度升温，但 不少投资者不知道如何参与。目前，参与预喜机会的高效工具当属买进对应主题的投资基金。究竟哪些行业预喜公司 较为集中？哪些基金值得关注？应该如何买入？ 业绩预喜公司 主要集中在哪些行业？ 根据沪深两市业绩预告（尤其是2025年三季度及全年预告），A股预喜公司数量排名前五的行业是：电子、基础化工、汽车、医药生物、机械设备。这五大 行业的预喜公司合计数量，占目前已披露预喜公司总数的近56.6%。这主要反映了上述行业上市公司基数大、景气面广的特点。 从预喜率看，有色金属、钢铁、汽车、家用电器、基础化工这五大行业非常高。 此外，随着国家电网"十五五"期间投资4万亿更新设备的消息发布，电力设备&电网/核电相关公司成为市场热点。除了国家电网"十五五"投资预期升温，AI 数据中心高耗电推动核电采购（谷歌、微软、Meta布局），特高压、柔性直流输电项目落地也是重要原因。 业内人士分析，眼下正处于年报季 ...