Quantitative Models and Construction Methods - **Model Name**: Real-time Public Fund Positioning **Model Construction Idea**: This model estimates the real-time positioning of public funds based on publicly available market information such as fund net value, disclosed holdings, and research activities[3][20] **Model Construction Process**: The process involves complex data processing of public market information, including fund net value, disclosed holdings, and research activities. Detailed methodology is referenced in the report "偏股混合型基金指数（885001.WI）：优势、复制与超越"[20] - **Model Name**: ETF Fund Positioning **Model Construction Idea**: This model tracks the dynamics of ETF fund holdings as a key indicator of market fund flows, reflecting the growing importance of index investment in the A-share market[3][21] **Model Construction Process**: The model calculates the proportion of ETF holdings relative to the market capitalization of PCB sector stocks. As of Q2 2025, the total scale of public ETF funds exceeded 4.3 trillion yuan, with ETF holdings in the PCB sector at a historical high, accounting for 2.6% of the sector's market capitalization[21][23] - **Model Name**: Financing Balance Dynamics **Model Construction Idea**: This model uses financing balance as a proxy for investor sentiment, where an increase in financing balance indicates a bullish outlook on the market[3][25] **Model Construction Process**: The model tracks the total amount of outstanding financing in margin trading. The PCB sector's financing balance is at a historical high, while the short-selling balance remains at a low level[25][27] - **Model Name**: Chip Yield Characteristics **Model Construction Idea**: This model evaluates the profitability of the PCB sector based on chip yield, which measures the return of current prices relative to historical chip costs. It identifies momentum effects in strong markets and reversal effects in weak markets[3][26] **Model Construction Process**: The model estimates the average holding cost of funds at different price levels and calculates chip yield as the return of current prices relative to historical chip costs. The PCB sector's current profitability is 22.95%[26][28] Model Backtesting Results - **Real-time Public Fund Positioning**: No specific quantitative backtesting results provided - **ETF Fund Positioning**: ETF holdings account for 2.6% of the PCB sector's market capitalization[23] - **Financing Balance Dynamics**: Financing balance is at a historical high, while short-selling balance is at a low level[25][27] - **Chip Yield Characteristics**: Current profitability of the PCB sector is 22.95%[26][28] Quantitative Factors and Construction Methods - **Factor Name**: Chip Yield **Factor Construction Idea**: This factor measures the profitability of the PCB sector based on the return of current prices relative to historical chip costs[3][26] **Factor Construction Process**: The factor is calculated as the return of current prices relative to historical chip costs. It reflects momentum effects in strong markets and reversal effects in weak markets. The PCB sector's current chip yield is 22.95%[26][28] Factor Backtesting Results - **Chip Yield**: Current profitability of the PCB sector is 22.95%[26][28]

- The report introduces a quantitative model named "250-Day New High Distance" to track market trends and identify leading stocks. The model calculates the distance between the latest closing price and the highest closing price over the past 250 trading days using the formula: $ 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 in the past 250 trading days. If the latest closing price reaches a new high, the distance equals 0; otherwise, it indicates the percentage drop from the peak[10][11][12] - The report evaluates the model positively, citing its ability to capture momentum and trend-following strategies effectively. It references prior research, such as [George@2004] and insights from investment books like "Stock Market Wizard," which emphasize the importance of tracking stocks near their 52-week highs[10][18][21] - The report applies the model to major indices, showing their respective 250-Day New High Distances as of August 1, 2025: - Shanghai Composite Index: 1.54% - Shenzhen Component Index: 4.38% - CSI 300: 4.73% - CSI 500: 2.25% - CSI 1000: 1.53% - CSI 2000: 1.08% - ChiNext Index: 8.93% - STAR 50 Index: 7.99%[11][12][33] - The report identifies industries and concept indices close to their 250-Day New Highs, such as Media, Communication, Pharmaceuticals, Defense, and Steel. Concept indices like Wind Microcap Equal Weight, Electronic Equipment, CRO, and Innovative Drugs also show proximity to their 250-Day New Highs[12][14][33] - The report tracks stocks that have reached 250-Day New Highs in the past 20 trading days. A total of 1,239 stocks are identified, with the highest counts in industries like Pharmaceuticals (192 stocks), Machinery (169 stocks), and Basic Chemicals (132 stocks). The highest proportions are found in Banking (64.29%), Steel (56.60%), and Nonferrous Metals (41.94%)[19][20][34] - The report introduces a factor named "Stable New High Stocks," which selects stocks based on criteria such as analyst attention, relative price strength, price path smoothness, and sustained new highs. Specific metrics include: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative price strength: Top 20% in 250-day returns - Price path smoothness: Evaluated using metrics like cumulative absolute daily returns over 120 days - 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 five days[24][27][28] - The report lists 50 stocks selected as "Stable New High Stocks," with the highest counts in Manufacturing (15 stocks) and Technology (14 stocks). Examples include Shenghong Technology, Borui Pharmaceuticals, and Feilihua[28][32][34]

Group 1 - A total of 41 stocks appeared on the weekly trading list, with 25 showing net purchases from the Shenzhen Stock Connect [1] - The top three stocks with the highest net purchases were Shenghong Technology (65.95 million), Guangxun Technology (39.91 million), and Shenzhen South Circuit (24.06 million) [1] - The average increase for stocks with net purchases was 15.01%, outperforming the Shanghai Composite Index, which fell by 0.94% [1] Group 2 - The stocks with the highest net sales included Pengding Holdings (29.77 million) and Weichai Heavy Industry (13.68 million) [2] - The stock with the largest increase was Guangsheng Hall, which rose by 36.42% during the week [1] - The trading volume for stocks with net purchases varied significantly, with some stocks like Shubeide showing a turnover rate of 166.64% [1]

Core Viewpoint - In July, the A-share market continued to rise, with over 700 listed companies undergoing institutional research, indicating a robust interest from institutional investors [1][5]. Group 1: Market Performance - The A-share market showed strong performance in July, with the Shanghai Composite Index rising for the third consecutive month, accumulating a growth of 3.74%, which is an increase compared to the previous months of June and May [4]. - Institutional research activities remained active, with a total of over 700 listed companies being researched in July [5]. Group 2: Institutional Research Highlights - More than 20 listed companies were researched five times or more by institutions in July, with Ice Wheel Environment being researched over 10 times [6]. - Ice Wheel Environment discussed its product layout in the marine economy during a specific research meeting, highlighting its traditional advantages in ship refrigeration systems and its commitment to low-carbon energy solutions [6][7]. - Northern Rare Earth also received over 10 research sessions, expressing optimism about future demand in the rare earth industry driven by new energy technologies and applications [8]. - Dazhu Laser was among the top companies researched, with participation from several foreign institutions, discussing its overseas expansion and the diversification of manufacturing supply chains [9]. Group 3: Popular Stocks Under Research - Several popular stocks underwent institutional research in July, including Xinyi Technology and Shenghong Technology, both of which have seen their stock prices increase over 10 times from their lows in recent years [12][13]. - Other companies like Changsheng Bearings and Zhaojin Gold also experienced significant stock price increases and were included in the research activities [13]. Group 4: Industry Trends - The automotive, machinery, electronics, and power equipment sectors had a relatively high number of companies undergoing institutional research in July, indicating strong interest in these industries [10].

市场全天震荡调整，三大指数小幅收跌。 盘面上，医药板块全线逆势走强，创新药概念延续强势，昂利康（002940）涨停；中药股展开补涨，维 康药业（300878）涨停；光伏概念反弹，捷佳伟创（300724）涨停；午后AI应用端活跃，智能体方向 领涨，鼎捷数智（300378）涨超10%；数据要素概念走强，深桑达A涨停。下跌方面，体育概念集体调 整，共创草坪（605099）跌停。 截至收盘，沪指跌0.37%，深成指跌0.17%，创业板指跌0.24%。市场热点快速轮动，个股涨多跌少，全 市场超3300家个股上涨。沪深两市全天成交额1.60万亿，较上个交易日缩量3377亿。 市场再现"技术性调整" 今日，A股市场震荡调整，三大指数均小幅下跌，量能较昨日大幅萎缩。 对于最近两日A股的杀跌，机构认为主要还是技术性调整。一方面，从市场结构而言存在涨幅快速积累 后的回调需求，指数摸高至3600点的过程中，不少板块站上阶段性高位，资金获利离场。另一方面，中 报季来临，进入8月中报期，市场将要开始验证上市公司业绩成色。 消息面上，快递行业近期催化颇多。一是国家邮政局召开快递企业座谈会，就依法依规治理行业"内卷 式"竞争，强化农村地区 ...

Market Performance - On August 1, A-shares' three major indices collectively closed lower, with the Shanghai Composite Index down 0.37% at 3559.95 points, the Shenzhen Component Index down 0.17% at 10991.32 points, and the ChiNext Index down 0.24% at 2322.63 points [1] Fund Manager Changes - In the past 30 days (July 2 - August 1), a total of 424 fund managers have left their positions, with 18 announcements made on August 1 alone. The reasons for these changes include 4 managers leaving due to job changes and 1 due to personal reasons [3][4] - Notable fund managers who left include Wu Yi from multiple funds due to job changes, and Shi Xingtao who left for personal reasons [4][6] Fund Manager Performance - Current fund manager of Yongying Fund, Chu Kefa, manages assets totaling 7.271 billion yuan, with the highest return of 104.27% from the fund Yongying Medical Innovation Selected Mixed Fund A during his tenure [4] - New fund manager Wan Qiong from Bosera Fund manages assets totaling 52.773 billion yuan, with the highest return of 283.18% from the Bosera S&P 500 ETF over nearly 10 years [5] Fund Research Activity - In the past month, the most active fund company in conducting company research was Fuguo Fund, which researched 48 listed companies, followed by Bosera Fund and Huaxia Fund with 45 and 44 companies respectively [6][7] - The most researched industry was communication equipment, with 193 research instances, followed by the chemical pharmaceutical industry with 158 instances [6][7] Recent Stock Research - The most researched stock in the past month was Defu Technology, with 79 fund management companies participating in the research, followed by Zhongji Xuchuang and Xinyi Sheng with 75 and 66 companies respectively [7][8] - In the last week (July 25 - August 1), Defu Technology remained the most researched stock, with 79 fund institutions involved, while other notable stocks included Haida Group and Shenghong Technology [8][9]

Group 1 - The main focus of the article is on the significant outflow of capital from specific stocks as of August 1, with a detailed list of the top 20 stocks experiencing the largest capital outflows [1] - The stock with the highest capital outflow is Xinyi Semiconductor, with an outflow of 1.468 billion [1] - Other notable stocks with substantial outflows include Northern Rare Earth (1.250 billion), Tianfeng Securities (1.207 billion), and WuXi AppTec (0.896 billion) [1] Group 2 - The total capital outflows from the top 20 stocks indicate a trend of investors pulling back from these companies, which may reflect broader market sentiments [1] - The data highlights a diverse range of sectors affected, including technology, materials, and finance, suggesting a widespread concern among investors [1] - The cumulative outflow from these stocks could impact their market performance and investor confidence moving forward [1]

Key Points - The main focus of the article is on the significant outflow of capital from the top 20 stocks as of August 1, with specific amounts listed for each stock [1][2] Group 1: Capital Outflow - The stock with the highest capital outflow is Xinyi Technology, with an outflow of 1.442 billion yuan [1] - Northern Rare Earth follows with a capital outflow of 982 million yuan [1] - Tianfeng Securities experienced an outflow of 855 million yuan [1] - WuXi AppTec saw a capital outflow of 787 million yuan [1] - Other notable outflows include Zhongji Xuchuang (660 million yuan), Inspur Information (640 million yuan), and Shenghong Technology (626 million yuan) [1] - The total outflows from these stocks indicate a trend of capital withdrawal from the market [1]

Market Overview - The Shanghai Composite Index fell by 1.18% to close at 3573.21 points, with a daily high of 3606.37 points [1] - The Shenzhen Component Index decreased by 1.73% to 11009.77 points, reaching a maximum of 11223.64 points [1] - The ChiNext Index dropped by 1.66% to 2328.31 points, with a peak of 2394.22 points [1] Margin Trading and Securities Lending - The total margin trading and securities lending balance in the Shanghai and Shenzhen markets was 19784.97 billion yuan, with a financing balance of 19646.98 billion yuan and a securities lending balance of 137.99 billion yuan [2] - The margin trading and securities lending balance increased by 0.9 billion yuan compared to the previous trading day [2] - The Shanghai market's margin trading balance was 10106.42 billion yuan, decreasing by 5.54 billion yuan from the previous day, while the Shenzhen market's balance was 9678.55 billion yuan, increasing by 6.45 billion yuan [2] Top Margin Buying Stocks - The top three stocks by margin buying amount were: - Xinyi Technology (300502.SZ) with 23.63 billion yuan - Zhongji Xuchuang (300308.SZ) with 20.8 billion yuan - Shenghong Technology (300476.SZ) with 17.1 billion yuan [3] Fund Issuance - Two new funds were launched: Huafu Medical Innovation Mixed Initiation A and Huafu Medical Innovation Mixed Initiation C [4] Top Net Buying by Brokerage Firms - The top ten net buying amounts by brokerage firms were: - Nord Shares (600110.SH) with 422.75 million yuan - Great Wall Military Industry (601606.SH) with 385.34 million yuan - Yidian Tianxia (301171.SZ) with 375.30 million yuan [6][7]

Core Viewpoint - The performance of the China Securities Guangdong-Hong Kong-Macao Greater Bay Area Development Theme Index and its related ETF shows positive growth trends, indicating potential investment opportunities in the region's market [1][2][3]. Performance Summary - As of August 1, 2025, the index rose by 0.29%, with notable increases in constituent stocks such as Jiejia Weichuang (19.98%) and Shenzhen Sanda A (6.57%) [1]. - The Greater Bay Area ETF (512970) increased by 0.70%, with a recent price of 1.3 yuan, and has shown a cumulative increase of 1.26% over the past two weeks [1]. - Over the past year, the ETF's net value has risen by 27.00%, with a maximum monthly return of 21.99% since its inception [1][2]. Liquidity and Trading Activity - The ETF had a turnover rate of 0.01% during the trading session, with a transaction volume of 5176.00 yuan [1]. - The average daily trading volume over the past year was 256,000 yuan [1]. Risk and Return Metrics - The ETF's Sharpe ratio for the past month was 2.25, indicating strong risk-adjusted returns [2]. - Year-to-date, the ETF has experienced a relative drawdown of 0.43% compared to its benchmark, with a recovery period of 108 days [2]. Tracking Accuracy - The tracking error of the ETF year-to-date is 0.053%, demonstrating its close alignment with the underlying index [3]. - The index reflects the performance of companies benefiting from the development of the Guangdong-Hong Kong-Macao Greater Bay Area, including a selection of up to 50 Hong Kong stocks and 300 companies from the mainland [3]. Top Holdings - As of July 31, 2025, the top ten weighted stocks in the index accounted for 50.37%, with major companies including China Ping An, BYD, and China Merchants Bank [4][6]. - The weightings of the top stocks are as follows: BYD (8.59%), China Ping An (8.55%), and China Merchants Bank (8.14%) [6].