Group 1 - The core viewpoint of the report indicates that the market is experiencing a period of adjustment due to key events both domestically and internationally, referred to as a "super week" [1] - The report highlights that the market has seen a reduction in trading volume and is currently in a phase of volatility expansion, with localized hotspots expected to remain active [1] - It notes that the current profit-making effect has reverted to levels seen in mid-July, suggesting a potential stabilization in market pressure [1]

Group 1 - The A-share market has seen a recent rise, leading to a slight increase in stock private equity positions, with significant accumulation observed among billion-yuan private equity funds [1] - As of July 25, the stock private equity position index stands at 75.85%, up 0.76% from the previous week, while the billion-yuan private equity position index is at 78.47%, a substantial increase of 5.69% [1] - Nearly 60% of stock private equity funds are fully invested, with 57.23% at full position, 24.84% at medium position, 11.57% at low position, and 6.36% at empty position [1] Group 2 - Over 62% of billion-yuan private equity funds are fully invested, with 62.24% at full position, 31.12% at medium position, 3.63% at low position, and 3.00% at empty position [1] - Private equity research activities have significantly increased in July, with total research occurrences surpassing 1,700 [1] - As of July 24, 590 private equity managers participated in A-share listed company research, covering 26 primary industries, with a total of 1,313 research occurrences [1] Group 3 - The computer industry has emerged as the focal point for private equity attention, receiving 209 research occurrences, the highest among all industries [2] - The electronics industry follows closely with 179 research occurrences, while the biopharmaceutical industry also attracts significant interest with 160 research occurrences [2]

Core Insights - Recent data indicates a slight recovery in stock private equity positions in the A-share market amid fluctuations, with significant increases noted among large-scale private equity firms [1] Group 1: Market Overview - As of July 25, the average position of all stock private equity institutions is 75.85%, reflecting an increase of 0.76 percentage points from the previous week [1] - The average position of large-scale (billion-level) stock private equity firms is reported at 78.47%, showing a substantial rise of 5.69 percentage points compared to the prior week [1] Group 2: Position Distribution - Among billion-level stock private equity firms, 62.24% have positions classified as heavy or fully invested (over 80% allocation) [1] - 31.12% of these firms maintain a moderately heavy position (between 50% and 80% allocation) [1] - The proportion of billion-level stock private equity firms with positions below 50% is less than 10% [1]

Quantitative Models and Construction Methods 1. Model Name: Credit Impulse Timing Strategy - **Model Construction Idea**: The model uses credit impulse as a timing indicator for A-shares, where the direction of credit impulse determines the market position (full position when upward, empty position when downward) [6][13][14] - **Model Construction Process**: - Calculate the year-on-year growth rate of long-term corporate loans (TTM) as the credit impulse indicator - Use the direction of the credit impulse to determine market positions: full position when the indicator is upward, empty position when downward - Formula: $ \text{Credit Impulse} = \frac{\text{Long-term Corporate Loans (TTM)} - \text{Long-term Corporate Loans (TTM, previous year)}}{\text{Long-term Corporate Loans (TTM, previous year)}} $ - **Model Evaluation**: The model has shown high effectiveness in avoiding major downtrends in the market [6][13][14] 2. Model Name: Beta Dispersion Timing Strategy - **Model Construction Idea**: The model uses beta dispersion as an indicator to measure local market sentiment overheating, with significant monthly timing effectiveness [6][17] - **Model Construction Process**: - Calculate the monthly beta dispersion of the market - Use the beta dispersion to determine market positions: higher beta dispersion indicates higher risk - Formula: $ \text{Beta Dispersion} = \frac{\sum_{i=1}^{N} (\beta_i - \bar{\beta})^2}{N} $ where $\beta_i$ is the beta of stock i, $\bar{\beta}$ is the average beta, and N is the number of stocks - **Model Evaluation**: The model has shown significant monthly timing effectiveness since 2013 [6][17] 3. Model Name: Trading Volume Timing Strategy - **Model Construction Idea**: The model uses trading volume as an indicator for market timing, with significant daily timing effectiveness [6][17] - **Model Construction Process**: - Calculate the daily trading volume and its 60-day moving average - Use the trading volume to determine market positions: higher trading volume indicates stronger market support - Formula: $ \text{Trading Volume Indicator} = \frac{\text{Daily Trading Volume}}{\text{60-day Moving Average of Trading Volume}} $ - **Model Evaluation**: The model has shown significant daily timing effectiveness since 2013 [6][17] 4. Composite Model: Credit Impulse, Beta Dispersion, Trading Volume - **Model Construction Idea**: The composite model combines credit impulse, beta dispersion, and trading volume indicators for market timing [6][18] - **Model Construction Process**: - Use equal weighting to combine the three indicators - Adjust positions based on the combined signal: average 2-week signal change frequency - Formula: $ \text{Composite Indicator} = \frac{\text{Credit Impulse Indicator} + \text{Beta Dispersion Indicator} + \text{Trading Volume Indicator}}{3} $ - **Model Evaluation**: The composite model has shown a high annual turnover rate and significant annualized returns since 2013 [6][18] Model Backtesting Results 1. Credit Impulse Timing Strategy - **Annualized Return**: 10.83% [6][13][14] - **Avoided Major Downtrends**: 2015 H2, 2018, 2022-2024 H1 [6][13][14] 2. Beta Dispersion Timing Strategy - **Annualized Return**: 13.12% [6][17] - **Monthly Timing Effectiveness**: Significant since 2013 [6][17] 3. Trading Volume Timing Strategy - **Annualized Return**: 14.33% [6][17] - **Daily Timing Effectiveness**: Significant since 2013 [6][17] 4. Composite Model: Credit Impulse, Beta Dispersion, Trading Volume - **Annualized Return**: 19.98% [6][18] - **Annual Turnover Rate**: 24 times [6][18] Quantitative Factors and Construction Methods 1. Factor Name: Manufacturing PMI Timing Strategy - **Factor Construction Idea**: The factor uses manufacturing PMI as a timing indicator for A-shares, with positions adjusted based on PMI levels [6][13] - **Factor Construction Process**: - Calculate the rolling 5-year percentile of manufacturing PMI - Adjust positions based on PMI levels: full position when >60%, empty position when <40%, half position when between 40%-60% - Formula: $ \text{PMI Timing Indicator} = \begin{cases} \text{Full Position} & \text{if PMI Percentile} > 60\% \\ \text{Empty Position} & \text{if PMI Percentile} < 40\% \\ \text{Half Position} & \text{if 40\% \leq PMI Percentile \leq 60\%} \end{cases} $ - **Factor Evaluation**: The factor has shown poor timing performance with an annualized return of only 0.41% since 2009 [6][13] Factor Backtesting Results 1. Manufacturing PMI Timing Strategy - **Annualized Return**: 0.41% [6][13] - **Comparison with Benchmark**: Underperformed the Wind All A Index annualized return of 8.49% [6][13] Style Rotation Models and Construction Methods 1. Model Name: Growth-Value Style Rotation Model - **Model Construction Idea**: The model suggests overweighting growth based on economic cycle analysis, valuation differences, and sentiment indicators [35][36] - **Model Construction Process**: - Analyze economic cycle indicators: profitability slope, interest rate cycle, credit cycle - Calculate valuation differences: PE and PB percentiles - Assess sentiment indicators: turnover and volatility differences - Formula: $ \text{Growth-Value Rotation Indicator} = \frac{\text{Profitability Slope Indicator} + \text{Interest Rate Cycle Indicator} + \text{Credit Cycle Indicator} + \text{PE Difference Indicator} + \text{PB Difference Indicator} + \text{Turnover Difference Indicator} + \text{Volatility Difference Indicator}}{7} $ - **Model Evaluation**: The model suggests overweighting growth based on current indicators [35][36] 2. Model Name: Small-Cap Large-Cap Style Rotation Model - **Model Construction Idea**: The model suggests balanced allocation based on economic cycle analysis, valuation differences, and sentiment indicators [35][41] - **Model Construction Process**: - Analyze economic cycle indicators: profitability slope, interest rate cycle, credit cycle - Calculate valuation differences: PE and PB percentiles - Assess sentiment indicators: turnover and volatility differences - Formula: $ \text{Small-Cap Large-Cap Rotation Indicator} = \frac{\text{Profitability Slope Indicator} + \text{Interest Rate Cycle Indicator} + \text{Credit Cycle Indicator} + \text{PE Difference Indicator} + \text{PB Difference Indicator} + \text{Turnover Difference Indicator} + \text{Volatility Difference Indicator}}{7} $ - **Model Evaluation**: The model suggests balanced allocation based on current indicators [35][41] 3. Composite Model: Four-Dimensional Style Rotation Model - **Model Construction Idea**: The model combines growth-value and small-cap large-cap rotation models for allocation [35][44] - **Model Construction Process**: - Combine the signals from growth-value and small-cap large-cap rotation models - Adjust positions based on combined signals - Formula: $ \text{Four-Dimensional Rotation Indicator} = \frac{\text{Growth-Value Rotation Indicator} + \text{Small-Cap Large-Cap Rotation Indicator}}{2} $ - **Model Evaluation**: The model suggests specific allocation proportions based on current indicators [35][44] Style Rotation Model Backtesting Results 1. Growth-Value Style Rotation Model - **Annualized Return**: 11.65% [35][37] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 6.91% [35][37] 2. Small-Cap Large-Cap Style Rotation Model - **Annualized Return**: 12.32% [35][42] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 7.11% [35][42] 3. Composite Model: Four-Dimensional Style Rotation Model - **Annualized Return**: 13.22% [35][44] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 7.50% [35][44]

Core Viewpoints - The market is currently in a short-term adjustment phase due to the significant rise of the US dollar and the pullback of leading sectors such as innovative pharmaceuticals in Hong Kong, but the overall upward trend remains intact [1][4][55] - The adjustment is expected to last approximately two weeks, with key technical supports at the 20-day moving average, lower gaps, and the upward trend line for the Shanghai Composite Index [1][4][55] - Even if the trend line is breached, the 60-day moving average will serve as a reliable medium-term support, indicating that the overall market outlook remains positive for a "slow bull" market [1][4][55] Market Overview - The market experienced an overall adjustment this week, with major indices such as the Shanghai Composite, Shanghai 50, and CSI 300 declining by 0.94%, 1.48%, and 1.75% respectively [11][53] - The technology growth sector showed relative strength, while cyclical sectors experienced significant pullbacks, with materials and coal down by 4.69% and 4.56% respectively [12][54] - The average daily trading volume in the Shanghai and Shenzhen markets decreased to 17.9 trillion yuan, reflecting a decline in market sentiment [19] Industry Configuration - The recommended industry allocation strategy is a balanced approach of "1+1+X," focusing on large financials (banks and brokerages) alongside technology growth sectors such as military, computing, media, electronics, and new energy [1][4][56] - There is an emphasis on identifying low-position stocks above the annual line within sectors to optimize "high-low cut" operations [1][4][56] Future Market Outlook - The market is expected to continue its upward trend as long as the key technical supports hold, with potential short-term buying opportunities if the index maintains the upward trend line and the US dollar against the offshore RMB begins to decline [1][4][55] - Historical patterns suggest that the Shanghai Composite Index may aim to surpass its previous high of 3674 points, with reliable short-term supports identified at recent gaps and moving averages [4][52][55]

财信证券认为，继前一个交易日冲高回落后，周四A股市场全天震荡走低，多数题材板块以及个股调 整，短期市场不确定性有所增加。不过当日成交额上升至1.9万亿元以上，市场承接动能较好，若大盘 能快速迎来修复，则仍将处于震荡上行趋势当中。7月份，A股市场总体呈现震荡上行态势，三大指数 月线均收涨。短期内，投资者需更加关注市场风格变化，把握好题材板块轮动节奏。中长期看，虽然宏 观经济及政策未见明显拐点，但"反内卷"政策将缓解"增收不增利"的困境，支撑A股业绩端回暖。预计 A股市场大概率维持震荡偏强走势。 东莞证券认为，周四，A股市场集体回调，沪指跌破3600点。从技术分析角度看，连续反弹后，沪指近 期在3600点上方有所遇阻，短线存在一定的抛压释放，特别是创业板指收出两连阴，显示短期休整压力 加大。短线需要注意市场的震荡反复。展望中期，在外部经贸摩擦缓和预期、国内稳增长政策持续发力 以及流动性环境维持合理充裕的多重因素驱动下，中期市场仍将保持稳定。 ...

Market Overview - On July 31, the A-share market opened lower and experienced wide fluctuations, with the Shanghai Composite Index finding support around 3580 points[2] - The Shanghai Composite Index closed at 3573.21 points, down 1.18%, while the Shenzhen Component Index closed at 11009.77 points, down 1.73%[7] - Total trading volume for both markets was 19,621 billion yuan, above the median of the past three years[3] Sector Performance - Strong performers included banking, software development, internet services, and consumer electronics, while coal, steel, energy metals, and shipbuilding sectors lagged[3] - Over 70% of stocks in the two markets declined, with chemical pharmaceuticals, software development, and internet services showing the largest gains[7] Valuation Metrics - The average price-to-earnings (P/E) ratios for the Shanghai Composite and ChiNext indices are 14.81 times and 41.76 times, respectively, indicating a mid-level valuation compared to the past three years[3] - The market is currently in a dual-driven phase of policy and capital, establishing a slow upward trend despite short-term technical adjustment pressures[3] Economic Context - China's economy continues to show moderate recovery, with consumption and investment as core drivers[3] - Long-term capital inflows are increasing, with steady growth in ETF sizes and continuous inflow from insurance funds, providing significant support[3] Investment Recommendations - It is suggested to focus on technology growth and cyclical manufacturing as dual main lines for investment, while also considering high-dividend banks, public utilities, and strategic emerging industries[3] - Short-term market expectations lean towards steady upward fluctuations, with close monitoring of policy, capital, and external market changes advised[3]

(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7月31日｜A股主要指数分化，创业板指拉升涨逾1%，沪指跌0.39%，深成指涨0.17%。CPO、 PCB、辅助生殖等方向涨幅居前，沪深京三市上涨个股近2800只。 ...

Group 1 - The Central Political Bureau meeting on July 30 emphasized the need to stabilize employment, enterprises, markets, and expectations, while maintaining policy continuity and flexibility [1] - The meeting acknowledged the strong vitality and resilience of the economy this year, but also recognized various risks and challenges that need to be addressed [1] - Macro policies are to be sustained and adjusted as necessary, with a focus on implementing more proactive fiscal policies and moderately easing monetary policies to fully unleash policy effects [1] Group 2 - Specific tasks for the second half of the year include effectively releasing domestic demand potential, deepening reforms, stabilizing foreign trade and investment, and ensuring the protection of people's livelihoods [1] - The meeting highlighted the importance of maintaining a bottom-line thinking approach to consolidate the positive economic momentum [2]

Group 1 - The core viewpoint of the news is that the recent extension of the tariff negotiation deadline between China and the U.S. is a positive development for the A-share market, indicating that further discussions are likely and that the market sentiment will benefit from the avoidance of escalation in relations [1] - The A-share market experienced a mixed performance with the Shanghai Composite Index rising by 0.17%, while the Shenzhen Component and ChiNext Index fell by 0.77% and 1.62% respectively, indicating volatility in the market [3][7] - The wide fluctuations in the A-share market are seen as beneficial for consolidating positions, with expectations that the index will find it easier to rise towards 3674 points after the recent volatility [5] Group 2 - The Shanghai Composite Index opened lower but saw a high of 3636 points before retreating to a low of 3593 points, reflecting a rollercoaster trading day with significant internal capital outflow of nearly 500 billion [3][7] - The market is characterized by a "seesaw effect" between heavyweight blue-chip stocks and thematic stocks, suggesting a strategy of focusing on thematic opportunities rather than just index movements [7]