- 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 ...

【免责声明】本文仅代表作者本人观点，与和讯网无关。和讯网站对文中陈述、观点判断保持中立，不对所包含内容 的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考，并请自行承担全部责任。邮箱： news_center@staff.hexun.com 每日经济新闻 华创证券指出，中证A500行业配置聚焦四大方向：科创（科技博弈打开估值上限，重视端侧稳健 增长及ToB商业化落地）、顺周期（再通胀交易下关注紧供给的有色/化工/钢铁/煤炭/建材/机械）、出 海（产能出海提升全球竞争力，关注电新/机械/通信设备/能源金属）及地产链（中期触底困境反转，建 筑/建材/家居/家电/物管具高赔率）。科技领域需消化估值，短期看北美AI资本开支及业绩兑现；顺周 期行业受益供给出清带来的价格弹性；制造出海依托产业链优势；地产链关注房价企稳后的修复机会。 行业新旧动能转换中，科技制造ROE稳步抬升。 （责任编辑：董萍萍 ） 把握A股机遇，或可关注中证A500ETF（159338），中证A500创新指数编制方案，以国际通用 的"行业均衡"方式编制。从客户数量来看，根据2025年中报，国泰中证A500ETF总户数位列同类首位， 是第 ...

国内市场综述 探底回升 走势分化 新闻精要 1. 习近平同法国总统马克龙举行会谈 2. 商务部：中国政府依法依规开展稀土相关物项出口 管制 3. 市场监管总局：新国标电动自行车拟纳入 2026 年 监督抽查计划 4. 国家生物制造产业创新中心启动试运行 行业方面，30 个中信一级行业有 9 个上涨，其中电子、 国防军工及机械涨幅居前，而商贸零售、消费者服务 及纺织服装则跌幅较大。概念方面，摩尔线程、卫星 互联网及半导体设备选指数表现活跃。 海外市场综述 美股三大指数涨跌不一，脸书涨超 3% 周四（12 月 4 日），美国三大股指收盘涨跌不一，道 指跌 0.07%，标普 500 指数涨 0.11%，纳指涨 0.22%。 3M 公司跌超 2%，联合健康集团跌近 2%，领跌道指。 万得美国科技七巨头指数涨 0.4%，脸书涨超 3%，英伟 达涨逾 2%。中概股涨跌不一，万物新生涨近 9%，大全 新能源跌近 3%。 周四（12 月 4 日）大盘探底回升，走势分化。截至收 盘，上证综指收于 3875.79 点，下跌 0.06%；深成指 收于 13006.72 点，上涨 0.4%；科创 50 上涨 1.36%； 创业板指上 ...

Core Views - The report suggests that 2026 may witness a structural recovery in earnings, leading to a slow bull market in A-shares, driven by technology and cyclical sectors, despite high valuations [5][17] - The main theme for 2026 is expected to be a continuation of loose liquidity and a structural recovery in earnings, with potential for strong performance in technology and cyclical industries [6][37] Macroeconomic Environment - The macroeconomic outlook for 2026 indicates that the Federal Reserve may continue to lower interest rates, maintaining a loose liquidity environment domestically [19][24] - Exports are anticipated to face high base pressure but may still show resilience, particularly in high-tech products and emerging markets [26][27] - Infrastructure investment growth is expected to stabilize and recover, supported by proactive fiscal policies and increased issuance of special bonds [28] - Real estate investment growth is likely to remain weak, although policies may ease, leading to a gradual stabilization in housing prices and sales [30] - Manufacturing investment growth is projected to stabilize and recover, driven by policies promoting new productive forces and equipment upgrades [32] Industry Allocation - The report recommends focusing on technology growth and cyclical growth as the main allocation themes for 2026, with specific attention to sectors such as TMT (Technology, Media, and Telecommunications), electric new energy, machinery, pharmaceuticals, non-ferrous metals, chemicals, military industry, and non-bank financials [7] - Large-cap and small-cap stocks are expected to perform relatively well, with a tilt towards cyclical styles [7] Earnings Recovery - Earnings in the technology and cyclical sectors are expected to continue rising, contributing positively to overall A-share performance [37][39] - The report highlights that fiscal policy support may enhance corporate earnings growth, similar to past instances of fiscal stimulus [39]

中证报中证网讯（记者 马爽）12月4日晚间，浙商证券（601878）策略首席分析师王大霁做客中国证券 报"中证点金汇"直播间时表示，从行业配置角度来看，2026年A股市场或呈现"多线出击、多点开花"的 特征。结合行业打分表、国内政策和行业基本面，他建议关注四条主线投资机会：一是消费与财富效应 主线，"十五五"规划建议对"内需"定调较高，在市场系统性上涨格局以及股市财富效应的带动下，可关 注相对滞涨的消费者服务、食品饮料、农林牧渔等板块；二是景气方向主线，关注汽车、医药、电子、 电力设备、非银金融等行业；三是传统产业主线，"十五五"规划建议将"优化提升传统产业"放在重要位 置，可关注基础化工、机械、建筑（中字头基建）、煤炭、钢铁等领域；四是红利压舱石主线，2026年 将是公募新规实施元年，综合考虑股息率和公募欠配比例等因素，建议关注银行、交通运输等板块。 ...

（责任编辑：宋政 HN002） 【免责声明】本文仅代表作者本人观点，与和讯网无关。和讯网站对文中陈述、观点判断保持中立，不对所包含内容 的准确性、可靠性或完整性提供任何明示或暗示的保证。请读者仅作参考，并请自行承担全部责任。邮箱： news_center@staff.hexun.com 格隆汇12月4日｜印度贸易部长：印度预计将增加对俄罗斯的汽车、电子产品、纺织品和机械出口。 ...

越南《税务、海关在线》12月2日报道，据越南海关统计，至10月底，外商直接投资企业出口总值 2956.6亿美元，同比增长22.8%；六大出口产品出口额超百亿美元，分别为：计算机、电子产品及配件 (出口额841.6亿美元)，手机及配件(出口额485.1亿美元)，机械、设备、用具及配件(出口额437.8亿美 元)，纺织品(出口额204.1亿美元)，鞋(出口额161亿美元)，运输工具及配件(出口额118.3亿美元)；主要 出口市场为：美国、中国内地、韩国、中国香港、日本。 ...

中期而言，继续看好我国发展新阶段下权益市场的向上空间。配置上，建议关注三条主线：一是内外需共振下景气向上的科技成长（TMT/机械/军工等）； 二是"反内卷"推动下行业景气有望改善的板块（新能源/建材/传统周期等）；三是受益于政策支持且目前估值不高的消费板块。而流动性仍是行情发展的重 要驱动，融资资金的流入进程是否会转向，将对题材股行情的发展产生重要影响。此外，红利资产的配置价值亦值得关注。 近期头部电池厂密集派发磷酸铁锂大单，宁德时代更是重金入股富临精工子公司江西升华，以锁定高压实密度磷酸铁锂产能。在下游旺盛的市场需求下，磷 酸铁锂厂商正悄然启动新一轮扩产。多数业内人士认为，在"反内卷"背景下，本轮磷酸铁锂行业扩产主要围绕"高端产品、海外需求"展开，风格更为理性， 比拼维度也逐步从"卷价格"、"卷规模"向"卷价值"、"卷技术"过渡，同时产能布局更加全球化。 展望2025Q4季度，预计供给紧张将望推动铜钴等商品价格继续上行，锂价则受益于储能需求超预期有望上涨。贵金属价格虽然经历冲高回落行情，但整体 看涨思路并未改变，随着市场对高位品种的风险担忧加深，煤炭、电解铝等年内滞涨品种或将在四季度获得更高关注度。其他商品 ...