盘后数据出炉。 1月21日，A股市场整体上涨。截至收盘，上证指数报4116.94点，上涨0.08%；深证成指报14255.13点，上涨0.7%；创业板指数报3295.52点，上涨0.54%； 北证50指数上涨0.14%。 1.A股市场主力资金净流入56.08亿元 今日A股市场主力资金开盘净流出41.97亿元，尾盘净流入6.26亿元，A股市场全天主力资金净流入56.08亿元。 | | | 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 | | | 2026-1-21 | 56. 08 | -41.97 | 6.26 | 154. 57 | | 2026-1-20 | -764. 07 | -221.93 | -61.61 | -471.97 | | 2026-1-19 | -397.98 | -162.72 | -58. 29 | -209.12 | | 2026-1-16 | -238.85 | -106. 45 | -38. 37 | -133.83 | | 2026- ...

盘后数据出炉。 1月21日，A股市场整体上涨。截至收盘，上证指数报4116.94点，上涨0.08%；深证成指报14255.13点，上涨0.7%；创业板指数报3295.52点，上涨0.54%； 北证50指数上涨0.14%。 1.A股市场主力资金净流入56.08亿元 今日A股市场主力资金开盘净流出41.97亿元，尾盘净流入6.26亿元，A股市场全天主力资金净流入56.08亿元。 | | | 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 | | | 2026-1-21 | 56. 08 | -41.97 | 6.26 | 154. 57 | | 2026-1-20 | -764. 07 | -221.93 | -61. 61 | -471.97 | | 2026-1-19 | -397.98 | -162.72 | -58. 29 | -209.12 | | 2026-1-16 | -238.85 | -106. 45 | -38. 37 | -133.83 | | 2026 ...

A股复盘 | 鸡排队 / 2026.01.21 兄弟姐妹萌，今天大赚啊，涨的都是我重仓的！后面给大家精心准备了"光荣卖飞"和"天命资本"操作图！ 今天ETF又双叒叕放量了？ 大家坚持住，听说近期操作挨批评了，后面不会再砸了！ | 宽基指数 | 减持前汇金持有指数ETF 规模(单位:亿元) | 估算汇金26/1/14至今 减持规模(单位:亿元) | | 估算汇金减仓比例 | 估算汇金剩余持仓规模 占指数自由流通市值比重 | | --- | --- | --- | --- | --- | --- | | 沪深300 | 10.020 | | 1.547 | 15% | 3.6% | | Fir 50 | 1,557 | | 282 | 18% | 1.5% | | 中证500 | 1.360 | | 211 | 20% | 1.1% | | 中证1000 | 1.691 | | 307 | 18% | 1.6% | | 创业板指 | ਦੇਰੇ ਕ | | 278 | 38% | 0.7% | | 科创50 | 346 | | 294 | 85% | 0.2% | | 合计 | 15.568 | | 2.934 | ...

融资融券周报 主要指数多数下跌，两融余额继续上升 ――融资融券周报 | 分析师：王雪莹 | SAC NO：S1150525020001 | 年 | 月 | 日 | 2026 | 1 | 21 | | | | | | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 证券分析师 | 核心观点： | 王[Table_IndInvest] | 雪莹 | | | | | | | | | | | | | | | | | | | | | 市场概况 |  | 022-23839121 | | | | | | | | | | | | | | | | | | | | | | wangxy4430@bhzq.com | 上周（1 | 月 | 日-1 | 月 | 日）A | 股市场主要指数多数下跌，其中中证 |  | 14 | 20 | 500 | 涨幅最大 ...

相较沪深300而言，中证A500强调行业均衡与细分龙头，其风格更分散、成长性暴露更高，能在产业结 构升级周期提供更优的Beta底盘。所以，其指数历史走势更优。截至2025年末，中证A500指数基日以 来涨幅高达464.28%，而同期沪深300指数为361.15%，超额103.13个百分点。 （文章来源：每日经济新闻） 1月21日，中证A500ETF（159338）盘中涨超0.8%，科技成长依然是本轮牛市的行业主线。 国信证券指出，对于本轮春季行情期间的行业配置，首先认为在AI浪潮驱动下，科技成长依然是本轮 牛市的行业主线。近期AI应用端催化频现，借鉴2015年和2021年牛市经验，本轮科技行情有望从算力 基建向应用扩散，建议关注AI应用落地的细分板块。此外，部分价值板块配置机会或也值得关注，如 低估值的地产等老登资产；受益于成交放量、业绩预期有望改善的非银；以及内需政策发力的传统消费 和受益涨价逻辑的上游资源品等。 ...

▌ 一、 市场表现 2026 年 01 月 21 日 双高转债占比达到历史峰值水平 分析师：罗云峰 S1050524060001 luoyf2@cfsc.com.cn 分析师：杨斐然 S1050524070001 yangfr@cfsc.com.cn 相关研究 1、《1 月实体部门负债增速料继续 下行——资产配置周报》2026-01- 18 2、《地方债发行节奏趋缓——资产 配置周报》2026-01-12 3、《重点转至政府债发行——资产 配置周报》2026-01-04 投资要点 上周权益市场存在政策降温，宽基 ETF 资金大幅流出，转债 ETF 逆势流入。牛市预期较强，股性转债、次新债带动转债 表现强于权益。上周转债价格中位数保持历史最高水平，在 138 元左右震荡。转债全市场周日均成交 922 亿元，仅次于 "924"水平。百元溢价率在历史最高水平继续上涨到 33%， 隐含波动率由同样在历史极值点 45%左右波动，隐波差保持 13%左右的历史高位。转债交易情绪较热，极低余额、低评级 转债换手率偏高。高价转债、股性转债估值主动抬升，涨幅 （1.7%）高于正股（1.26%）；正股在 200 亿元以上的公司发 ...

临近春节，在要"长牛"不要"疯牛"的重要背景下，市场资金愈发谨慎，指数震荡、板块轮动快成了常态。尤其在强监管引导下，前期市场热点题材炒作彻 底降温，讲故事的标的更不再是资金首选。 不少投资者问，这最后窗口期，到底该躲去哪？答案很明确：业绩线才是真正的避风港。但千万别陷入"业绩超预期就闭眼买"的误区，这恰恰是最容易踩 坑的地方。 真正的安全机会，得综合看——业绩预告只是敲门砖，股价是否提前计价、估值处于什么分位、机构持仓是否健康、行业景气度能否延续，甚至2026年有 没有产业催化、行业格局是否优化，都得逐一验证。 01 先纠偏：业绩好≠能赚钱，这几点才是核心 去年有个典型案例，某CXO企业预告净利润大增40%，不少投资者追进去却被套。为啥？股价早在预告前就涨了80%，估值冲到历史90%分位，业绩利好 落地就是资金出货时机。 这提醒我们，选股要避开三个误区： 一是只看业绩增速，忽略股价计价； 二是盯着单一财报数据，不顾行业景气度； 三是迷信困境反转，却没确认利空是否真落地。 正确逻辑是：业绩边际改善+估值低位（分位低于30%）+机构筹码集中度+产业有进展行业有催化，再叠加十五五政策支持或格局优化，这样的标的才具 ...

6个行业主力资金净流入。 A股三大指数今日（1月20日）走势分化，行业板块涨少跌多，贵金属、化学原料、水泥建材、化纤行 业涨幅居前，通信设备、光伏设备、航天航空、电源设备、电池、计算机设备、电子元件板块跌幅居 前。 从今日主力资金情况来看，沪深两市全天主力资金净流出764.07亿元。6个行业主力资金净流入，房地 产、食品饮料、商贸零售行业主力资金净流入金额均超2亿元；非银金融、银行行业主力资金净流入金 额均超1亿元；综合行业主力资金净流入4265.12万元。 25个主力资金净流出行业中，电力设备、电子、通信行业主力资金净流出金额居前，均超100亿元；国 防军工、计算机、机械设备行业主力资金净流出金额均超60亿元。 9股遭主力资金净流出均超9亿元 据证券时报·数据宝统计，从个股看，29股主力资金净流入均超2亿元，16股获主力资金净流入均超3亿 元。 浙文互联主力资金净流入5.1亿元，居首。消息面上，近日，浙文互联与字节跳动旗下巨量引擎合作共 建的"派智"灵动数字人，在2025年累计消耗量已突破2.5亿元，同比实现5倍增长，标志着数字人在营销 场景的商业化应用进入成熟阶段。 山子高科、格力电器、沃尔核材主力资金分 ...

Report Industry Investment Rating No information provided in the content. Core Viewpoints - The secondary - market trends of industrial bond sub - industries show a divergence in the correlation between primary and secondary markets. This divergence may be due to differences in supply among industries and differences in bond liquidity and trading popularity within each industry. If an industry has many issuing entities with strong willingness and ability to issue bonds and is in a good development trend, the probability of a synchronous resonance relationship between primary - market supply and secondary - market demand is relatively high, which can improve the accuracy of judging trading signals of narrowing spreads from daily net financing [1][14]. - Most industries have trading signals transmitted from primary - market supply to secondary - market demand, including comprehensive, non - ferrous metals, and others. Some industries show a stronger negative correlation between primary - market supply and secondary - market demand, such as comprehensive and non - ferrous metals. Some industries have a weak correlation between daily net financing and daily spreads, including communication and food and beverage [2][4]. Summary by Directory 1. Industrial Bond Sub - industries Show Divergence in Primary - Secondary Market Trend Correlation - **Research Method**: Classify industrial bond issuers by Shenwan primary industries, calculate the daily net financing and daily credit spreads of each sub - industry from January 1, 2025, to December 19, 2025, to observe the correlation between primary - market supply and secondary - market demand [12]. - **Divergence Performance**: Most industries have trading signals transmitted from primary - market supply to secondary - market demand, while some do not show this feature significantly [13]. - **Reasons for Divergence**: Differences in supply among industries are related to the number, size, and life - cycle stage of issuing entities. Differences in bond liquidity and trading popularity within industries are related to the scale of outstanding bonds, valuation levels, and event catalysts [14]. 1.1. Industries with Obvious Correlation - **Comprehensive Industry**: From January to March 2025, daily net financing decreased and daily spreads increased; from March to June, daily net financing increased and daily spreads decreased; from June to December, both were in a low - level oscillation [21]. - **Non - ferrous Metals Industry**: From January to July 2025, daily net financing increased and daily spreads decreased; from July to September, daily net financing decreased and daily spreads increased; from October to December, both were in a low - level oscillation [25]. - **Other Industries**: Similar analysis is conducted for industries such as pharmaceutical biology, social services, and others, with different trends in different time intervals [27][30][32]. - **Common Features**: These industries generally have a large scale of outstanding bonds and high institutional investor attention, which is conducive to the transmission of primary - market supply changes to secondary - market spread changes [3][87]. 1.2. Industries with General Correlation - **Industries Included**: Communication, food and beverage, and other industries have a weak correlation between daily net financing and daily spreads, and the linkage and transmission between primary - and secondary - market indicators are relatively weak [4][13]. - **Reasons**: These industries have low participation in the bond market, and their secondary - market trading demand is more affected by overall bond - market trends, industry risk premiums, and liquidity premiums. Different types of industries have specific reasons for the weak correlation [4][90][91].

Core Viewpoint - The article emphasizes the importance of focusing on performance metrics rather than speculative stories in the current cautious market environment, especially as the Chinese New Year approaches. It suggests that investors should look for stocks with solid earnings forecasts, but also consider valuation, institutional holdings, industry trends, and potential catalysts before making investment decisions [5][6]. Group 1: Investment Strategy - Investors should avoid the misconception that good performance guarantees profitability, as demonstrated by a case where a CXO company saw a 40% increase in net profit but had already experienced an 80% stock price increase prior to the announcement, leading to a sell-off [6][8]. - Key selection criteria for stocks include marginal performance improvement, low valuation (below the 30th percentile), concentrated institutional holdings, and industry catalysts, supported by favorable policies [8]. Group 2: Sector Analysis - **AI Power and Computing Infrastructure**: The demand for AI-related power and computing infrastructure is strong, with a projected 40% increase in investment from the State Grid during the 14th Five-Year Plan. Companies in this sector are expected to have stable earnings and low valuations [10]. - **Semiconductors and AI Applications**: The semiconductor market is expected to recover in 2025, with a projected global market size of $697 billion, driven by domestic substitution and AI infrastructure needs. Companies with solid order backlogs should be prioritized [13]. - **Robotics**: The robotics sector is gaining attention from institutional investors, with a focus on companies that have substantial orders and clean shareholding structures. The sector is expected to benefit from increased automation in manufacturing by 2026 [14]. - **Non-Ferrous Chemicals**: The non-ferrous sector is linked to the demand for new energy and AI infrastructure, with potential recovery in demand for industrial metals like copper and aluminum by 2025 [15]. - **Commercial Aerospace and Satellites**: Despite recent stock price corrections, the long-term outlook for the aerospace sector remains positive, with upcoming satellite launches and applications expected to drive performance [16]. - **Non-Bank Financials**: The brokerage sector is expected to benefit from increased market activity, with estimates of net profit for CITIC Securities reaching 30.05 billion yuan in 2025, a 38.46% increase [18]. - **CXO in Pharmaceuticals**: The pharmaceutical sector should focus on CXO companies with solid performance metrics, as the global biopharmaceutical investment is expected to reach $63.88 billion in 2025, a 10.13% increase [20]. - **Cash Flow and Dividend Stocks**: In a cautious market, stocks with stable cash flow and high dividend yields (over 4%) are recommended as defensive positions [23]. - **Overseas Expansion**: Companies with strong overseas channels and brand power are positioned to benefit from global market growth, particularly in manufacturing sectors [24]. Group 3: Portfolio Management - Investors are advised to diversify their portfolios, suggesting a mix of 50% growth stocks, 30% defensive value stocks, and 20% turnaround opportunities to mitigate risks in a volatile market [28].