Market Overview - The A-share market showed mixed performance today, with the Shanghai Composite Index rising by 0.34% to close at 3888.6 points, and the Shenzhen Component Index increasing by 0.85% to 12984.08 points. The ChiNext Index rose by 0.70% to 3052.59 points, while the Sci-Tech 50 Index saw a gain of 1.25%, closing at 1327.15 points. Overall, 4122 stocks rose while 1187 stocks fell, with a total trading volume of 15858 billion yuan, a decrease of 1240 billion yuan from the previous trading day [1][2]. Industry Performance - Among the Shenwan first-level industries, the top gainers included Agriculture, Forestry, Animal Husbandry, and Fishery, Steel, Retail, Non-ferrous Metals, National Defense and Military Industry, and Machinery Equipment, with respective increases of 1.59%, 1.59%, 1.46%, 1.44%, 1.41%, and 1.41%. The Banking and Coal industries were the only sectors to decline, with decreases of 0.83% and 0.14% respectively [1]. Concept Sector Performance - The leading concept sectors today included Cross-Strait Integration, Hainan Free Trade Port, Lithium Mining, Lithium Iron Phosphate Batteries, Lithium Battery Cathodes, Dairy Industry, Satellite Internet, Third Generation Semiconductors, Rare Metals Selection, Satellite Navigation, Semiconductor Equipment, Cybersecurity, Natural Gas, Vanadium Batteries, and Cameras. In contrast, sectors such as Pinduoduo Partners, Central State-owned Banks, Vitamins, and Selected Traditional Chinese Medicine experienced pullbacks [2].

Market Overview - The Shanghai Composite Index closed at 3870.02 points, up 0.87%, with a trading volume of 722.8 billion yuan [1] - The Shenzhen Component Index closed at 12777.31 points, up 1.53%, with a trading volume of 1089.36 billion yuan [1] - The ChiNext Index closed at 2980.93 points, up 1.77%, with a trading volume of 528.16 billion yuan [1] - The total trading volume of both markets reached 1812.16 billion yuan, an increase of 84.43 billion yuan compared to the previous trading day [1] Sector Performance - Strong performance was observed in sectors such as telecommunications, media, education, insurance, non-ferrous metals, precious metals, electronics, and building materials [2] - Concepts like CPO, lithium mining, laser radar, blade batteries, optical communication modules, titanium dioxide, PCB, copper cable high-speed connections, and longevity drugs showed active trends [2] - The defense and military industry, along with transportation, were among the few sectors that experienced declines [2] Stock Performance - A total of 4067 stocks rose, while 945 stocks fell, with 146 stocks remaining flat and 11 stocks suspended [2] - 96 stocks hit the daily limit up, while 7 stocks hit the daily limit down [2] - Among the stocks with significant net inflows, Yangguang Electric Power led with a net inflow of 1.087 billion yuan, followed by Huadian Electric, Yingweike, and others [6][8] Fund Flow - The net inflow of main funds in the Shanghai and Shenzhen markets was 8.812 billion yuan, with the ChiNext seeing a net inflow of 2.013 billion yuan [4][5] - The telecommunications sector had the highest net inflow of 3.83 billion yuan, followed by power equipment, electronics, and machinery [5] - Conversely, the defense and military sector experienced the largest net outflow of 2.888 billion yuan [5] Institutional Activity - Institutions net bought approximately 230 million yuan worth of stocks, with Aerospace Development being the top net buyer at 147 million yuan [10][11] - The stocks with the highest net selling by institutions included Dekeli, with a net outflow of 150 million yuan [10]

Market Overview - The A-share market showed a mixed performance today, with the Shanghai Composite Index slightly up by 0.05% closing at 3836.77 points, while the Shenzhen Component Index rose by 0.37% to 12585.08 points. The STAR 50 Index increased by 0.84% to 1296.6 points, and the ChiNext Index gained 0.31% to close at 2929.04 points. Overall, 4228 stocks rose while 1100 stocks fell, with a total trading volume of 17,406 billion yuan, a decrease of 2,379 billion yuan from the previous trading day [1][2]. Industry Performance - Among the Shenwan first-level industries, sectors such as defense and military industry, media, computer, and social services saw significant gains, with increases of 4.31%, 3.49%, 2.41%, and 2.22% respectively. Conversely, industries like petroleum and petrochemicals, coal, banking, and food and beverage experienced declines, with decreases of 1.21%, 1.09%, 0.79%, and 0.56% respectively [1][2]. Concept Sector Performance - The leading concept sectors today included those related to the China Shipbuilding Industry, aircraft carriers, commercial aerospace, military information technology, and satellite internet, among others. Notably, sectors such as lithium mining and salt lake lithium extraction experienced a pullback [2].

Core Viewpoint - A-shares experienced a collective decline in the three major stock indices, with the ChiNext index previously rising over 1% before turning negative [1] Market Performance - As of 10:09 AM, the Shanghai Composite Index fell by 0.36% - The Shenzhen Component Index decreased by 0.07% - The ChiNext Index dropped by 0.08% [1] Sector Performance - Lithium mining, computing power, and oil and natural gas sectors showed the largest declines [1]

A股三大指数早盘高开低走，截至午间收盘，沪指跌0.34%报3821.68点，深成指跌0.59%，创业板指跌 0.77%，北证50指数跌0.12%。沪深京三市半日成交额10325亿元，较上日缩量2849亿元，全市场超3200 只个股上涨。盘面上，军工装备、商业航天、风电设备等板块涨幅居前，海南自贸区、锂矿股调整。 ...

Content: --------- <doc id='1'>金融工程日报 A 股单边下行，AI 应用逆势走强、锂电池产业链全线下挫</doc> <doc id='2'>核心观点 金融工程日报 市场表现：20251121 市场全线下跌，规模指数中上证 50 指数表现较好，板 块指数中上证综指表现较好，风格指数中沪深 300 价值指数表现较好。行业 指数全线下跌，家电、传媒、食品饮料、银行、农林牧渔行业表现较好，综 合、有色金属、基础化工、通信、电子行业表现较差。中船系、水产、小红 书平台、拼多多合作商、短剧游戏等概念表现较好，锂矿、锂电正极、锂电 隔膜、盐湖提锂、锂电电解液等概念表现较差。 市场情绪：20251121 收盘时有 33 只股票涨停，有 107 只股票跌停。昨日涨 停股票今日表现低迷，赚钱效应较弱，高开低走，收盘收益为-0.55%，昨日 跌停股票今日收盘收益为-5.58%。今日封板率 61%，较前日提升 10%，连板 率 24%，较前日下降 0%。 市场资金流向：截至 20251120 两融余额为 24917 亿元，其中融资余额 24744 亿元，融券余额 173 亿元。两融余额占流通市值比重为 2.6%，两融交易占市 场成交额比重为 10.1%。</doc> <doc id='3'>折溢价：20251120 当日 ETF 溢价较多的是创科技 ETF，ETF 折价较多的是芯 片 ETF 景顺。近半年以来大宗交易日均成交金额达到 20 亿元，20251120 当 日大宗交易成交金额为 19 亿元，近半年以来平均折价率 6.36%，当日折价率 为 7.71%。近一年以来上证 50、沪深 300、中证 500、中证 1000 股指期货主 力合约的年化贴水率中位数分别为 0.48%、3.39%、10.86%、13.39%，当日上 证 50 股指期货主力合约年化贴水率为 4.00%，处于近一年来 29%分位点，当 日沪深 300 股指期货主力合约年化贴水率为 7.08%，处于近一年来 25%分位 点；当日中证 500 股指期货主力合约年化贴水率为 8.69%，处于近一年来 69% 分位点；当日中证 1000 股指期货主力合约年化贴水率为 8.76%，处于近一年 来 80%分位点。</doc> <doc id='4'>机构关注与龙虎榜：近一周内调研机构较多的股票是九号公司-WD、蓝思科 技、泰恩康、中航重机、沃尔德、超颖电子、宏昌科技、斯菱股份等，九号 公司-WD 被 179 家机构调研。20251121 披露龙虎榜数据中，机构专用席位净 流入前十的股票是天华新能、易点天下、安妮股份、久其软件、榕基软件、 古麒绒材、江龙船艇、荃银高科、华瓷股份、神农种业等，机构专用席位净 流出前十的股票是西藏城投、视觉中国、浪潮软件、德力佳、禾信仪器、中 水渔业、梦天家居、亚通精工、南侨食品、北方长龙等。陆股通净流入前十 的股票是天华新能、江龙船艇、英利汽车、国风新材、久其软件、久之洋、 荃银高科、西藏城投、南侨食品等，陆股通净流出前十的股票是华胜天成、 视觉中国、方大炭素、诺德股份、浪潮软件、易点天下、禾信仪器等。 风险提示：市场环境变动风险；本报告基于历史客观数据统计，不构成投资 建议。</doc> <doc id='5'> | 金融工程·数量化投资 | | | --- | --- | | 证券分析师：张欣慰 | 联系人：李子靖 | | 021-60933159 | 021-60875177 | 021-60933159 021-60875177 zhangxinwei1@guosen.com.cn lizijing1@guosen.com.cn S0980520060001 相关研究报告 《金融工程日报-A 股高开低走，封板率创近一个月新低》 —— 2025-11-20 《金融工程日报-沪指震荡收红，水产股集体大涨、黄金股午后 拉升》 ——2025-11-19 《金融工程日报-沪指震荡走低，锂电产业链回调、互联网电商 概念逆势走强》 ——2025-11-18 《金融工程日报-沪指震荡下跌，锂矿题材逆势爆发》 —— 2025-11-17 《金融工程日报-沪指冲高回落，算力、半导体产业链领跌》 — —2025-11-14</doc> <doc id='6'>市场表现 宽基与风格指数表现 今日(20251121，下同) 市场全线下跌，规模指数中，上证 50 指数表现较好，上 证 50 指数下跌 1.74%，沪深 300 指数下跌 2.44%，中证 500 指数下跌 3.46%，中 证 1000 指数下跌 3.72%，中证 2000 指数下跌 3.99%。 板块指数中，上证综指表现较好，上证综指下跌 2.45%，深证综指下跌 3.43%，中 小 100 指数下跌 3.25%，创业板指下跌 4.02%，科创 50 指数下跌 3.19%，科创 100 指数下跌 4.04%，北证 50 指数下跌 4.71%。 风格指数中，沪深 300 价值指数表现较好，沪深 300 价值指数下跌 1.70%，沪深 300 成长指数下跌 2.47%，中证 500 价值指数下跌 3.30%，中证 500 成长指数下跌 3.16%。主要宽基、板块及风格指数今日表现如下图所示。</doc> <doc id='7'>图1：今日宽基、板块与风格指数表现 行业指数表现 今日行业指数全线下跌，家电、传媒、食品饮料、银行、农林牧渔行业表现较好， 收益分别为-0.27%、-0.50%、-0.89%、-1.00%、-1.58%，综合、有色金属、基础 化工、通信、电子行业表现较差，收益分别为-5.41%、-5.30%、-5.26%、-4.59%、 -4.41%，中信一级行业指数今日表现如下图所示。</doc> <doc id='8'>资料来源：Wind，国信证券经济研究所整理</doc> <doc id='9'>图2：今日中信一级行业指数表现 概念主题表现 今日中船系、水产、小红书平台、拼多多合作商、短剧游戏等概念表现较好，收 益分别为 3.51%、0.65%、0.47%、0.42%、0.22%，锂矿、锂电正极、锂电隔膜、 盐湖提锂、锂电电解液等概念表现较差，收益分别为-9.67%、-8.66%、-8.18%、 -8.08%、-7.99%，今日收益较高与较低的前十个概念指数表现如下图所示。</doc> <doc id='10'>资料来源：Wind，国信证券经济研究所整理</doc> <doc id='11'>图3：今日收益较高与较低的前十个概念指数 资料来源：Wind，国信证券经济研究所整理</doc> <doc id='12'>市场情绪 日内涨跌停家数 我们统计上市满 3 个月以上的股票在今日盘中的实时涨跌停家数情况。今日盘中 最高有 33 只股票

Core Insights - The A-share market experienced a broad decline, with the Shanghai Composite Index falling below 3850 points, while market volume saw a slight increase [2][5] - The performance of various sectors showed that home appliance manufacturing, media and internet, food and beverage, and banking sectors performed relatively well, while metal materials and mining, power and new energy equipment, and electronics sectors led the decline [2][5] Market Performance - The Shanghai Composite Index decreased by 2.45%, the Shenzhen Component Index fell by 3.41%, the ChiNext Index dropped by 4.02%, the SSE 50 Index declined by 1.74%, the CSI 300 Index decreased by 2.44%, the STAR 50 Index fell by 3.19%, and the CSI 1000 Index dropped by 3.72%, with a total market turnover of approximately 1.98 trillion yuan [2][8] Sector Analysis - The leading sectors included home appliance manufacturing, media and internet, food and beverage, and banking, while the lagging sectors were metal materials and mining (-5.11%), power and new energy equipment (-4.78%), and electronics (-4.66%) [8] - Concept stocks such as China Shipbuilding System (+3.51%), aquatic products (+0.65%), Xiaohongshu platform (+0.47%), and Pinduoduo partners (+0.42%) showed gains, while lithium mining and related concepts faced declines [8] Market Drivers - Key market drivers included the unexpected rise in U.S. unemployment rates despite job growth, leading to uncertainty regarding the Federal Reserve's interest rate decisions [8] - Concerns about high asset prices and AI bubble risks contributed to a decline in U.S. stocks, which in turn affected market sentiment in the Asia-Pacific region [8] Short-term and Long-term Outlook - The report suggests a short-term market correction may occur due to rapid price increases, but the long-term outlook remains positive with expectations of a "slow bull" market trend [14] - In the medium term, the market's strength may depend on macroeconomic policies and technological advancements, particularly in AI and robotics, which are seen as key areas for creating new demand [15] - Long-term fundamentals, including stabilization in the real estate market and the effectiveness of "anti-involution" policies, are expected to support continued growth in the A-share market [15]

- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot spots. The model is based on momentum and trend-following strategies, emphasizing stocks that consistently hit new highs. The calculation formula 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 equals 0; otherwise, it is a positive value indicating the degree of fallback [11][12][13] - The report evaluates the model positively, citing its ability to capture market leaders and trends effectively. It references studies by George (2004), William O'Neil, and Mark Minervini, which highlight the importance of tracking stocks near their 52-week highs for superior returns [11][18] - The report provides backtesting results for the "250-day new high distance" model across major indices as of November 21, 2025. The distances are: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45% [12][13][32] - The report introduces a factor named "Stable New High Stocks" to identify stocks with smooth price paths and sustained momentum. The factor construction involves: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative strength: Top 20% in 250-day price change - Price stability: Ranking top 50% based on metrics like price displacement ratio and smoothness of 250-day new high distance over the past 120 days - Trend continuation: Ranking top 50 stocks based on the average 250-day new high distance over the past five days [24][27][28] - The report evaluates the "Stable New High Stocks" factor positively, citing research by Turan G Bali et al. (2011) and Da et al. (2012), which demonstrate the superior returns of stocks with smooth momentum paths compared to those with jumpy price movements [24][27] - Backtesting results for the "Stable New High Stocks" factor show 15 selected stocks, including Heertai, Sray New Materials, and Zangge Mining. These stocks are distributed across manufacturing and cyclical sectors, with manufacturing focusing on construction and cyclical sectors on non-ferrous metals [28][31][33]

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 monitor market trends and identify potential market leaders. 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{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ represents the latest closing price - $\text{ts\_max(Close, 250)}$ represents 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, indicating the degree of decline[11]. - **Model Evaluation**: The model effectively identifies market trends and highlights stocks or indices that are leading the market, aligning with the principles of momentum and trend-following strategies[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 are associated with stronger momentum effects[24][27]. - **Model Construction Process**: The selection process involves the following criteria: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **Sustainability of New Highs**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected[24][27]. - **Model Evaluation**: The model emphasizes the importance of smooth price paths and consistent momentum, which are less likely to attract excessive attention and thus yield stronger returns[24][27]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Stable New High Stock Selection Model - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative distance of a stock's price from its 250-day high, serving as an indicator of momentum and trend strength[11]. - **Factor Construction Process**: The formula is: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ is the latest closing price - $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor effectively captures momentum and trend-following characteristics, making it a reliable indicator for identifying market leaders[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Calculate the ratio of price displacement to the total price path over a specified period - Rank stocks based on this ratio and select the top performers[24]. - **Factor Evaluation**: The factor highlights stocks with stable momentum, which are less likely to attract excessive attention and thus yield stronger returns[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33]

Group 1 - The report tracks stocks, industries, and sectors that are reaching new highs, indicating market trends and hotspots [1][4][24] - As of November 21, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 4.83%, Shenzhen Component Index 8.65%, CSI 300 6.20%, CSI 500 9.69%, CSI 1000 7.59%, CSI 2000 7.40%, ChiNext Index 12.16%, and STAR 50 Index 16.45% [5][24] - Among the CITIC primary industry indices, the sectors closest to their 250-day new highs include petroleum and petrochemicals, textiles and apparel, basic chemicals, home appliances, and steel [8][24] Group 2 - A total of 1,127 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the basic chemicals, machinery, and power equipment and new energy sectors [2][13][24] - The highest proportion of new high stocks is found in the textiles and apparel, coal, and non-ferrous metals sectors, with respective proportions of 41.41%, 38.89%, and 38.71% [13][24] - The cyclical and manufacturing sectors had the most new high stocks this week, with 364 and 315 stocks respectively [15][24] Group 3 - The report identifies 15 stocks that have shown stable new highs, including Heertai, Sry New Materials, and Cangge Mining, with the manufacturing and cyclical sectors contributing the most stocks [3][20][25] - The construction industry had the highest number of new highs within the manufacturing sector, while the non-ferrous metals industry led in the cyclical sector [20][25]