Market Overview - The net outflow of main funds in the Shanghai and Shenzhen markets reached 38.536 billion yuan, with the Sci-Tech Innovation Board experiencing a net outflow of 3.036 billion yuan [1] - A total of 202 stocks saw net inflows, while 385 stocks experienced net outflows [1] Sci-Tech Innovation Board Performance - On the Sci-Tech Innovation Board, 180 stocks rose, with three stocks hitting the daily limit, while 403 stocks declined [1] - The stock with the highest net outflow was Cambrian, which saw a net outflow of 229 million yuan and a decline of 1.43% [1] Fund Flow Analysis - Among the stocks with net inflows, the top three were Hotgen Biotech with a net inflow of 129.6752 million yuan, followed by Huyou Pharmaceutical and Daqo New Energy with inflows of 59.8489 million yuan and 56.8139 million yuan respectively [2] - A total of 35 stocks have seen continuous net inflows for more than three trading days, with Baili Tianheng leading at 11 consecutive days of inflow [2] Continuous Fund Flow - The stock with the longest continuous net outflow is Guangda Special Materials, which has seen outflows for 13 consecutive trading days [2] - The continuous inflow and outflow trends indicate investor sentiment and potential future performance of these stocks [2] Key Stocks and Their Performance - The top stocks by net inflow include: - Hotgen Biotech: 129.6752 million yuan, 5.97% increase - Huyou Pharmaceutical: 59.8489 million yuan, 2.93% increase - Daqo New Energy: 56.8139 million yuan, 0.75% increase [2][3] - Stocks with significant net outflows include: - Cambrian: 229 million yuan, 1.43% decrease - Chipone: 182 million yuan, 1.34% decrease [1][2] Summary of Stock Movements - The overall market sentiment appears cautious, with significant outflows from certain stocks indicating potential concerns among investors [1][2] - The performance of stocks on the Sci-Tech Innovation Board reflects a mixed sentiment, with some stocks gaining traction while others face declines [1][2]

沪指7月9日下跌0.13%，申万所属行业中，今日上涨的有17个，涨幅居前的行业为传媒、农林牧渔，涨 幅分别为1.35%、0.65%。建筑装饰行业今日上涨0.37%。跌幅居前的行业为有色金属、基础化工，跌幅 分别为2.26%、0.85%。 资金面上看，两市主力资金全天净流出385.36亿元，主力资金净流入的行业仅有3个，传媒行业净流入 资金10.55亿元；商贸零售行业净流入资金8.64亿元；建筑装饰行业净流入资金4033.97万元。 主力资金净流出的行业有28个，电子行业主力资金净流出规模居首，全天净流出资金77.89亿元，其次 是有色金属行业，净流出资金为54.12亿元，净流出资金较多的还有电力设备、基础化工、非银金融等 行业。 建筑装饰行业今日上涨0.37%，全天主力资金净流入4033.97万元，该行业所属的个股共157只，今日上 涨的有79只，涨停的有3只；下跌的有66只，跌停的有1只。以资金流向数据进行统计，该行业资金净流 入的个股有65只，其中，净流入资金超3000万元的有7只，净流入资金居首的是国晟科技，今日净流入 资金7221.26万元，紧随其后的是中国交建、新城市，净流入资金分别为6903.82 ...

Market Overview - The Shanghai Composite Index fell by 0.13% on July 9, with 17 out of the 28 sectors rising, led by Media and Agriculture sectors, which increased by 1.35% and 0.65% respectively [1] - The Electric Equipment sector saw a slight increase of 0.17% [1] - The sectors with the largest declines were Non-ferrous Metals and Basic Chemicals, which dropped by 2.26% and 0.85% respectively [1] Capital Flow Analysis - The main capital outflow from the two markets totaled 38.536 billion yuan, with only three sectors experiencing net inflows: Media (1.055 billion yuan), Retail (864 million yuan), and Construction Decoration (40.34 million yuan) [1] - The Electronic sector had the largest net outflow, totaling 7.789 billion yuan, followed by Non-ferrous Metals with 5.412 billion yuan [1] Electric Equipment Sector Performance - In the Electric Equipment sector, 358 stocks were tracked, with 99 stocks rising and 252 stocks declining; 5 stocks hit the daily limit up [2] - The top net inflow stock was Ningde Times, with a net inflow of 378 million yuan, followed by Tongguan Copper Foil and Kelu Electronics with inflows of 219 million yuan and 178 million yuan respectively [2] - The sector experienced a total net outflow of 4.576 billion yuan, with 11 stocks seeing outflows exceeding 100 million yuan; the largest outflows were from Rongfa Nuclear Power, Sunshine Power, and Nord Shares, with outflows of 327 million yuan, 250 million yuan, and 226 million yuan respectively [2][3] Top Gainers in Electric Equipment Sector - The top gainers in the Electric Equipment sector included: - Ningde Times: +2.84%, turnover rate 0.75%, main capital flow 377.94 million yuan - Tongguan Copper Foil: +20.02%, turnover rate 48.19%, main capital flow 218.52 million yuan - Kelu Electronics: +10.06%, turnover rate 7.49%, main capital flow 178.39 million yuan [2] Top Losers in Electric Equipment Sector - The top losers in the Electric Equipment sector included: - Rongfa Nuclear Power: +0.42%, turnover rate 33.08%, main capital flow -327.43 million yuan - Sunshine Power: -0.57%, turnover rate 3.01%, main capital flow -249.65 million yuan - Nord Shares: -4.98%, turnover rate 14.04%, main capital flow -226.20 million yuan [3]

TENX NE IN10 @ JIN10.COM COM 金十数据 | 一个交易工具 上教馆 金十图示：2025年07月09日（周三）沪深港通南向资金流向 ...

股市资金流向图：今日沪深两市主力资金净流出449.96亿元，占比2.99%；大单资金净流出244.55亿元，占比1.62%；小单资金净 流入406.50亿元，占比2.7%。 ...

| 排名 | 板块名称 | 主力资金净流出(亿元) | 主力资金净流出率(%) | | --- | --- | --- | --- | | 1 | 电子 | -65.14 | -4.23 | | വ | 有色金属 | -43.49 | -7.88 | | ന | 电新行业 | -36.88 | -2.87 | | ব | 基础化工 | -31.51 | -4.76 | | 5 | 未営体 | -28.61 | -7.53 | 星矿主力资金监控: 午后买入前十榜 (截止时间: 14时 15 分) 主力资金监控：电子板块净流出超65亿 智通财经7月9日电，智通财经星矿数据显示，今日主力资金净流入文化传媒、商贸零售、出版等板块，净流出电子、有色金属、电 新行业等板块，其中电子板块净流出超65亿元。个股方面，跨境通涨停，主力资金净买入8.09亿元位居首位，恒瑞医药、中文在 线、巨力索具主力资金净流入居前；中油资本遭净卖出超5亿元位居首位，东方财富、北方铜业、紫金矿业主力资金净流出额居前。 | 排名 | 板块名称 | 主力资金净流入（亿元） | 主力资金净流入率(%) | | --- | --- | --- | --- ...

主力资金监控：电子板块净流出超27亿 | 排名 | 板块名称 | 主力资金净流出(亿元) | 主力资金净流出率(%) | | --- | --- | --- | --- | | | 电子 | -27.16 | -2.86 | | 2 | 有色金属 | -18.92 | -5.54 | | 3 | 基础化工 | -18.14 | -4.53 | | ব | 计算机 | -15.83 | -2.21 | | 5 | 半島体 | -13.27 | -6.26 | 星矿主力资金监控：早盘买入前十榜（截止时间： 10 时 50 分) | 排名 | 股票名称 | 主力资金净流入(亿元) | 主力资金净流入率(%) | | --- | --- | --- | --- | | 1 | 跨境通 | 7.18 | 32.02 | | 2 | 宁德时代 | 4.59 | 11.23 | | 3 | 中际旭创 | 4.08 | 10.78 | | র | 中文在线 | 3.81 | 15.23 | | 5 | 合锻智能 | 3.67 | 23.85 | | 6 | 京北方 | 3.42 | 11.19 | | 1 | 巨力索具 | ...

（文章来源：证券时报网） 从连续性进行统计， 有3只股获南向资金连续3天以上净买入，连续净买入天数较多的有中芯国际、建 设银行、国泰君安国际，连续净买入天数分别为13天、4天、3天。以其间净买入金额统计，净买入金额 最多的是中芯国际，合计净买入为77.95亿港元，其次是建设银行合计净买入为12.43亿港元，国泰君安 国际合计净买入为5.90亿港元。（数据宝） 7月8日南向资金成交活跃股 | 代码 | 简称 | 成交金额（万港元） | 成交净买入（万港元） | 今日涨跌幅（%） | | --- | --- | --- | --- | --- | | 09988 | 阿里巴巴-W | 461679.67 | 141061.89 | 1.52 | | 03690 | 美团-W | 367677.46 | 113143.46 | 2.69 | | 00939 | 建设银行 | 157510.24 | 39424.17 | 0.49 | | 03800 | 协鑫科技 | 250144.18 | 23492.50 | 10.81 | | 01788 | 国泰君安国际 | 1356066.51 | 19425.25 | 2 ...

- The report mentions the construction of an "industry crowding monitoring model" to track the crowding levels of Shenwan first-level industry indices on a daily basis. The model identifies industries with high crowding levels, such as utilities and building materials, and those with lower levels, like automobiles and food & beverage. It also highlights significant daily changes in crowding levels for industries like real estate and utilities[6] - Another model mentioned is the "premium rate Z-score model," which is used to screen ETF products for potential arbitrage opportunities. The model employs rolling calculations to identify ETFs with potential risks of price corrections[6] - The industry crowding monitoring model evaluates crowding levels based on daily fund flows and crowding metrics, providing insights into industry trends and fund allocation changes over recent trading days[6] - The premium rate Z-score model calculates Z-scores for ETF premium rates, identifying deviations from historical averages that may signal arbitrage opportunities or risks[6] - The industry crowding monitoring model is qualitatively assessed as effective for identifying industry trends and fund allocation shifts, aiding investors in decision-making[6] - The premium rate Z-score model is qualitatively evaluated as useful for detecting arbitrage opportunities and potential risks in ETF pricing[6] - The industry crowding monitoring model highlights utilities and building materials as having high crowding levels, while automobiles and food & beverage exhibit lower levels. Real estate and utilities show significant daily crowding level changes[6] - The premium rate Z-score model identifies ETFs with potential arbitrage opportunities based on deviations in premium rates, though specific Z-score values are not provided in the report[6]

Group 1 - The Hong Kong Stock Exchange raised 107 billion HKD in the first half of the year, with 42 IPOs and an average daily trading volume of 40 billion HKD for 210 ETP products, indicating a vibrant fundraising environment [2][4] - Retail investors feel disconnected from the market's success, often missing out on opportunities despite the overall market growth, as exemplified by the experience of a retail investor who failed to secure shares in a popular IPO [4][2] - The disparity between market movements and retail investor experiences highlights the challenges of navigating the financial landscape, where significant capital flows often go unnoticed by individual investors [2][4] Group 2 - Historical data suggests that market movements are often driven by concentrated capital behaviors, with key periods accounting for a significant portion of annual returns [5][7] - A comparison between traditional K-line charts and quantitative systems reveals the underlying dynamics of capital flow, showcasing the difference between surface-level analysis and deeper insights into market behavior [7][10] - The importance of understanding the "language of trading" is emphasized, where announcements may not have the expected impact if not accompanied by corresponding capital movements [8][10] Group 3 - The influx of 107 billion HKD into the market leaves traces that can be analyzed, such as changes in stock weightings or shifts in derivatives market positions, which can provide insights into institutional trading strategies [11][13] - The phenomenon of "shakeout behavior" often indicates that large funds are accumulating shares, leading to confusion among retail investors about stagnant stock prices despite strong fundamentals [13][11] - The increasing complexity of the financial market creates greater information asymmetry, making it essential for investors to utilize quantitative tools to gain insights into capital flows and identify potential investment opportunities [14][11]