Market Overview - The Shanghai Composite Index fell by 0.17% today, with a trading volume of 841.35 million shares and a transaction value of 1,138.73 billion yuan, an increase of 1.39% compared to the previous trading day [1]. Industry Performance - The top-performing sectors included Non-Bank Financials (up 1.11%), Defense and Military (up 1.04%), and Pharmaceutical and Biological (up 0.88%) [1]. - The sectors with the largest declines were Coal (down 2.46%), Steel (down 1.84%), and Beauty and Personal Care (down 1.59%) [2]. Detailed Industry Data - Non-Bank Financials: - Change: +1.11% - Transaction Value: 647.20 billion yuan (up 11.70%) - Leading Stock: Zhongyin Securities (up 6.61%) [1] - Defense and Military: - Change: +1.04% - Transaction Value: 496.34 billion yuan (up 57.68%) - Leading Stock: Xinguang Optoelectronics (up 13.27%) [1] - Pharmaceutical and Biological: - Change: +0.88% - Transaction Value: 986.89 billion yuan (down 13.87%) - Leading Stock: Erkang Pharmaceutical (up 14.89%) [1] - Coal: - Change: -2.46% - Transaction Value: 95.76 billion yuan (down 14.49%) - Leading Stock: Shanxi Coking Coal (down 6.18%) [2] - Steel: - Change: -1.84% - Transaction Value: 129.93 billion yuan (down 18.37%) - Leading Stock: Liugang Co. (down 8.58%) [2] - Beauty and Personal Care: - Change: -1.59% - Transaction Value: 52.80 billion yuan (down 7.19%) - Leading Stock: Baiya Co. (down 7.94%) [2]

Market Overview - The core viewpoint emphasizes that stocks are favored over bonds, with a weak outlook for gold and the US dollar. Investors are advised to focus on changes in equity structure and style, suggesting a strategy of "one body, two wings" [1] - The main focus is on cyclical stocks, which have outperformed technology stocks recently, with the Shanghai Composite Index reaching new highs around the 3600-point mark [1] Cyclical Sector Dynamics - The cyclical sector is driven by policies such as supply contraction and infrastructure projects, indicating a clear revival in this area [2] - The performance of large-cap stocks above 3600 points has created a positive wealth effect, with hopes for a sustained rally in cyclical stocks to surpass previous highs [2] Profitability Insights - In the first half of 2025, the total profit of industrial enterprises above designated size was 34,365 billion yuan, a year-on-year decrease of 1.8%. State-owned enterprises saw a profit drop of 7.6%, while private enterprises experienced a slight increase of 1.7% [2] - Despite a decline in overall industrial profits, certain sectors like manufacturing are showing improvement, with specific industries maintaining good growth [3] Coal Industry Analysis - The coal industry has faced long-term challenges, including competition from renewable energy and overcapacity issues. The cumulative profit for the coal sector in the first half of 2025 was down 53% [4] - The profitability of coal mining is closely linked to market conditions, and while there may be short-term rebounds, the long-term outlook remains uncertain due to fundamental changes in demand and production technology [4] Investment Strategy - The strategy suggests that while cyclical opportunities may be diminishing, localized opportunities exist, particularly in sectors like construction materials due to disaster recovery efforts [6] - Investors are encouraged to adopt a holistic view that integrates cyclical and technological investments, emphasizing the importance of strategic foresight in navigating market fluctuations [6][7]

Market Overview - The Shanghai Composite Index broke through the 3600-point mark this week, reaching a new high for the year with a weekly increase of 2.21% [2] - Daily average trading volume in the Shanghai and Shenzhen markets reached 1.82 trillion yuan, an increase of over 290 billion yuan compared to the previous week [2] - Key policy announcements, including the start of major infrastructure projects and the confirmation of Hainan's free trade port closure date, positively impacted market sentiment, particularly in the upstream sectors like construction materials, coal, and steel [2] Bond Market - The bond market experienced a comprehensive adjustment this week, with both government and corporate bonds declining, resulting in negative returns for pure bond funds [3] - The overall funding environment remained balanced, with the central bank providing timely liquidity support through MLF operations, leading to a neutral impact on the bond market [3] Commodity Market - Gold prices fluctuated this week, initially rising due to increased market risk aversion but later declining amid optimistic trade agreement developments [4] - The overall trend for commodities was positive, with the South China Commodity Index rising by 2.73% this week, driven by significant increases in black and energy commodities [39] Overseas Market - Global risk assets generally rose, with the US stock market reaching new highs, supported by positive earnings reports and developments in AI [5] - The S&P 500 index is currently near high valuation levels, indicating a potential decrease in winning odds for US equities in the short term [10] Stock Market Insights - The A-share market continued its upward trend, with the CSI 500 index showing significant weekly gains, reflecting strong investor sentiment and market performance [12] - The market is currently characterized by high trading volumes and turnover rates, particularly in the CSI 300 and CSI 500 indices, which are above their three-year average levels [14] Sector Performance - In the past week, the construction materials, coal, and steel sectors performed exceptionally well, with respective increases of 8.20%, 7.98%, and 7.67% [22] - The overall market sentiment remains optimistic, with a focus on sectors with high earnings certainty and potential for positive surprises [7]

Summary of Key Points from the Conference Call Industry Overview - The report discusses the concept of "anti-involution" in the context of China's economic landscape, particularly focusing on the supply-side challenges that are more complex compared to the previous cycle from 2015 to 2018 [2][3]. Core Insights and Arguments 1. **Policy Signals**: There is a notable increase in policy signals regarding "anti-involution," with comparisons made to the supply-side reform 1.0 period. The current challenges differ significantly from those faced between 2015 and 2018 due to changes in industry competition and macroeconomic conditions [2][3]. 2. **Structural Reforms Needed**: To achieve lasting results in anti-involution, there is a consensus on the necessity for deeper structural reforms, including adjustments to local incentive mechanisms and tax reforms aimed at rebalancing towards consumption [3][10]. 3. **Recent Government Actions**: - On July 16, the State Council emphasized a combination of short-term and long-term measures to regulate competition in the new energy vehicle sector. - On July 18, the State Administration for Market Regulation held discussions with major food delivery platforms. - The Ministry of Industry and Information Technology announced supply-side reforms in ten key industries, including non-ferrous metals and petrochemicals [7]. 4. **Market Signals Ignored**: The report highlights that part of the competition's involution is due to ignored market signals, leading to continued capacity expansion despite falling prices [10]. 5. **Historical Context**: The report draws parallels between the current economic situation and past experiences, noting that anti-involution will not be a quick fix. The GDP deflator index has been negative for nine consecutive quarters since Q2 2023, indicating entrenched deflationary pressures [11]. 6. **Capacity Utilization and Industry Dynamics**: The report notes that the current overcapacity is largely in emerging industries, with 50-90% of capacity owned by the private sector, making administrative capacity reduction more challenging compared to the previous cycle [11][19]. 7. **Potential for Mergers and Acquisitions**: There is an expectation for large enterprises in the polysilicon industry to form acquisition funds to consolidate smaller firms, although execution remains uncertain due to declining demand and high inventory levels [12]. 8. **Gradual Progress Expected**: The report suggests that while some upstream industries may see moderate consolidation, the urgency for adjustment is lower compared to previous reforms [17][20]. 9. **Reform Timing and Delays**: The implementation of formal plans for capacity reduction may experience delays of 3-8 months, reflecting the complexities of the current economic environment compared to the 2015-2018 period [20]. Other Important Insights - **Demand Recovery Limitations**: The report indicates that the cyclical growth may fluctuate at lower levels due to debt and demographic challenges, with limited upside for demand recovery without decisive stimulus measures [18]. - **Need for Comprehensive Policy Mix**: The optimal policy combination would involve more aggressive demand rebalancing measures alongside faster structural reforms to achieve sustainable re-inflation [24]. - **Caution Against Overly Aggressive Measures**: The report warns that overly aggressive capacity reduction without sufficient demand support could lead to deeper deflation after a brief improvement in prices [24]. This summary encapsulates the key points discussed in the conference call, providing insights into the current state of the industry and the anticipated direction of policy and economic reforms in China.

展望后市，华宝证券认为，短期来看，周期板块、商品市场存在过热超涨风险，科技（AI、芯片 等）、新能源领域轮动性价比有所回升，后续成长风格有望接力周期。宽基方向创业板、中证500、中 证800、中证1000等中盘方向预计表现更好。 东方证券研报认为，行业和主题领涨结构变化在即。上周领涨行业是建筑材料（8.2%）、煤炭 （8.0%）、钢铁（7.7%）和有色（6.7%），主要系"反内卷"和水电站的主题驱动、商品价格上涨和潜 在政策预期，短期主题行情和商品价格加速上涨阶段或已进入尾声。假设政策符合预期，相关行业供给 侧变化趋势延续，但商品价格仍然难以大幅上涨，相关行业股价上涨斜率会降低，市场需要看到更明确 的需求侧预期。（闻辉） 据招商证券研报统计，上周（7月21日—7月25日）周期ETF涨幅最大，规模以上平均上涨6.41%。国信 证券研报统计，周期ETF净申购最多，为102.31亿元。 "周期行情内部正在向煤炭、建筑等低位行业扩散。"兴业证券研报认为，这种板块轮动与行情扩散的背 后，反映的是市场风险偏好提升后，各类资金正在主线内部积极寻找和挖掘尚未被充分定价的细分领 域。在反内卷涉及的重点行业中，普钢、玻璃玻纤、钛 ...

Group 1 - The A-share market experienced a significant upward trend, with the Shanghai Composite Index rising by 1.67%, the Shenzhen Component Index by 2.33%, and the ChiNext Index by 2.76% last week, driven by liquidity and optimistic trading sentiment [2][5] - The market consensus focused on "low valuation cyclical recovery" and "technology growth industry trends," with strong performances in infrastructure, coal, steel, and semiconductor sectors [3][4] - The financing balance of the two markets has returned to above 1.9 trillion yuan, indicating a continuous inflow of institutional funds and an acceleration of retail investor participation [2][5] Group 2 - The cyclical sector is unlikely to replicate the 2016 supply-side reform rally, as the current "anti-involution" market dynamics suggest limited sustainability in simply betting on upstream price increases [6][7] - Investment strategies should focus on sectors with strong structural elasticity, such as technology and non-bank dividend assets, while maintaining a "barbell" strategy [6][7] - The AI industry chain, humanoid robots, and innovative pharmaceuticals are expected to remain the main investment themes in the medium to long term [7]

Quantitative Models and Construction Timing Model: Three-Dimensional Timing Framework - **Model Name**: Three-Dimensional Timing Framework - **Construction Idea**: The model integrates liquidity, divergence, and prosperity indices to assess market timing opportunities. It aims to identify optimal investment periods by analyzing these three dimensions. [7][12][14] - **Construction Process**: 1. **Liquidity Index**: Tracks market liquidity trends using aggregated data from financial markets. 2. **Divergence Index**: Measures market disagreement or dispersion among participants. 3. **Prosperity Index**: Evaluates economic and market growth indicators. 4. Combine these indices into a unified framework to determine market timing signals. - **Evaluation**: The model has historically shown strong performance in identifying favorable market conditions. [7][12][14] Funds Flow Convergence Strategy - **Model Name**: Funds Flow Convergence Strategy - **Construction Idea**: Combines financing and large-order flows to identify industries with synchronized capital inflows. [28][31][33] - **Construction Process**: 1. **Financing Factor**: Defined as the net financing buy minus net financing sell, neutralized by Barra market capitalization factor. Calculated as the two-week change in the 50-day moving average. 2. **Large-Order Factor**: Measures net inflows based on industry transaction volume, neutralized by time series. Calculated using the 10-day moving average. 3. Combine the two factors, excluding extreme industries and large financial sectors, to enhance strategy stability. 4. Backtest results show annualized excess returns of 13.5% since 2018, with an IR of 1.7. [31][33] - **Evaluation**: The strategy demonstrates stable positive excess returns and lower drawdowns compared to other convergence strategies. [31][33] --- Quantitative Factors and Construction Style Factors - **Factor Name**: Value, Size, Volatility, Liquidity - **Construction Idea**: Style factors are constructed to capture specific market characteristics such as valuation, size, risk, and liquidity. [35][36] - **Construction Process**: 1. **Value Factor**: Measures the performance of low-valuation stocks relative to high-valuation stocks. 2. **Size Factor**: Tracks the performance of small-cap stocks versus large-cap stocks. 3. **Volatility Factor**: Compares low-volatility stocks to high-volatility stocks. 4. **Liquidity Factor**: Evaluates the performance of low-liquidity stocks against high-liquidity stocks. - **Evaluation**: Value factor recorded positive returns (+0.92%), while size (-0.21%), volatility (-2.38%), and liquidity (-2.23%) factors showed negative returns, reflecting market preferences for low-risk and low-liquidity stocks. [35][36] Alpha Factors - **Factor Name**: Momentum (mom_1y, mom_2y), Turnover Standard Rate (turnover_stdrate_1m, turnover_stdrate_3m), Analyst Forecast (ana_cov) - **Construction Idea**: Alpha factors aim to capture excess returns through predictive metrics such as price momentum, turnover rates, and analyst forecasts. [38][40] - **Construction Process**: 1. **Momentum Factors**: Measure stock returns over 1-year and 2-year periods. 2. **Turnover Standard Rate Factors**: Evaluate turnover rates over 1-month and 3-month periods. 3. **Analyst Forecast Factor**: Tracks the number of analyst forecasts over the past 90 trading days. - **Evaluation**: Momentum factors (mom_1y: +1.58%, mom_2y: +1.26%) and turnover factors (turnover_stdrate_1m: +1.30%, turnover_stdrate_3m: +1.56%) performed well, indicating strong predictive power. Analyst forecast factor (ana_cov: +1.22%) also showed positive returns. [38][40] Cross-Index Factors - **Factor Name**: PE_G, SUE, Turnover Standard Rate (turnover_stdrate_1m, turnover_stdrate_3m) - **Construction Idea**: These factors are designed to perform across different market indices, including large-cap and small-cap stocks. [41][42] - **Construction Process**: 1. **PE_G Factor**: Measures the difference between PE rankings and expected net profit growth rankings. 2. **SUE Factor**: Tracks net profit changes over the past eight quarters. 3. **Turnover Standard Rate Factors**: Evaluate turnover rates over 1-month and 3-month periods. - **Evaluation**: PE_G and SUE factors performed better in large-cap indices (e.g., HS300: PE_G +4.97%, SUE +4.09%) compared to small-cap indices (e.g., CN2000: PE_G +1.15%, SUE +1.34%). Turnover factors also showed higher returns in large-cap indices. [41][42] --- Backtesting Results Timing Model: Three-Dimensional Timing Framework - **Liquidity Index**: Positive trend observed - **Divergence Index**: Declining trend - **Prosperity Index**: Rising trend - **Overall Signal**: Full allocation recommended [7][12][14] Funds Flow Convergence Strategy - **Annualized Excess Return**: 13.5% - **IR**: 1.7 - **Weekly Excess Return**: +0.2% - **Absolute Weekly Return**: +2.8% [31][33] Style Factors - **Value**: +0.92% - **Size**: -0.21% - **Volatility**: -2.38% - **Liquidity**: -2.23% [35][36] Alpha Factors - **Momentum (mom_1y)**: +1.58% - **Momentum (mom_2y)**: +1.26% - **Turnover Standard Rate (turnover_stdrate_1m)**: +1.30% - **Turnover Standard Rate (turnover_stdrate_3m)**: +1.56% - **Analyst Forecast (ana_cov)**: +1.22% [38][40] Cross-Index Factors - **PE_G (HS300)**: +4.97% - **PE_G (CN2000)**: +1.15% - **SUE (HS300)**: +4.09% - **SUE (CN2000)**: +1.34% - **Turnover Standard Rate (turnover_stdrate_1m, HS300)**: +6.99% - **Turnover Standard Rate (turnover_stdrate_1m, CN2000)**: +0.02% [41][42]

Group 1 - The core view of the report indicates that the Sci-Tech Innovation Board is expected to accelerate its rise, with a shift in leading sectors towards technology. The index is anticipated to continue its upward trend without significant resistance, as evidenced by the recent increases in major indices: Shanghai Composite Index up 1.67%, ChiNext Index up 2.76%, and Sci-Tech 50 Index up 4.63% [2][13]. - There is an imminent change in the leading structure of industries and themes. Last week, the leading sectors included construction materials (up 8.2%), coal (up 8.0%), steel (up 7.7%), and non-ferrous metals (up 6.7%), driven by themes such as "anti-involution" and hydropower station developments. However, the report suggests that the current phase of rapid price increases may be nearing its end, and market expectations for policy announcements may not exceed optimistic forecasts [3][14]. - The technology sector is expected to become the main focus of attention as the rapid rise of cyclical sectors comes to an end. The report emphasizes that technology will be the main line of the upcoming market trends [4][15]. Group 2 - The report maintains a positive outlook on artificial intelligence (AI) as a key theme, predicting significant marginal changes in the AI industry over the next 1-2 months. The release of new models, such as OpenAI's GPT-5, is expected to stimulate competition and drive growth in the sector [5][16]. - Within the AI theme, the report highlights strong potential in domestic computing power, AI applications, PCB-related sectors, and robotics. It argues that domestic computing power is crucial for national development and will likely receive continued policy support. AI applications are expected to gain traction as new models are released, while the PCB sector remains in an upward trend. Robotics, as a significant application of AI, is also projected to follow the growth of the AI sector [6][17][18].

（二）券商最新研判 （一）重磅消息 据新华社报道，国务院总理7月26日在上海出席2025世界人工智能大会暨人工智能全球治理高级别会议 开幕式并致辞。围绕如何把握人工智能公共产品属性、推进人工智能发展和治理，提出三点建议。一是 更加注重普及普惠，充分用好人工智能发展的已有成果。二是更加注重创新合作，力求更多突破性的人 工智能科技硕果。三是更加注重共同治理，确保人工智能在造福人类上最终修成正果。 信达证券：当下市场具备政策和流动性驱动牛市的条件 牛市重要的驱动力量之一是股市政策驱动股权融资减少。2023年下半年以来，随着股权融资规模的下 降，股市的供需结构也在扭转。当下市场也具备政策和流动性驱动牛市的条件。 战略上，2025年下半年可能会出现类似2014年下半年的突破，战术上要等待经济或政策的催化。估值位 置偏低、上市公司盈利偏弱、政策基调积极、各类主题机会活跃，这些很像2013年~2014年年中和2019 年的震荡市，最终的结局大概率是更全面的牛市。战术层面，之前突破的临界点均有政策和经济高频数 据催化，目前需要等待观察1~2个月。 行业配置方面，稳健策略包括非银、银行，指数权重大且机构低配。需要轮动的策略上， ...

Market Overview - A-shares experienced high volatility last week, with the Shanghai Composite Index briefly surpassing 3600 points before a slight pullback. Major indices posted positive returns, with a notable focus on structural characteristics. The Sci-Tech Innovation 50 Index led with a 4.63% increase, reflecting strong market interest in technology innovation sectors such as artificial intelligence and quantum technology [2] - The Shanghai Composite Index rose by 1.67%, the Shenzhen Index increased by 2.33%, and the ChiNext Index gained 2.76% during the week [2] - Among industry sectors, 87% achieved positive returns, with construction materials, coal, and steel performing particularly well, rising by 8.20%, 7.98%, and 7.67% respectively. Conversely, utilities, telecommunications, and banking sectors showed weakness, declining by 0.27%, 0.77%, and 2.87% respectively [2] Fund Issuance - A total of 35 funds were issued last week, including 23 equity funds, 3 mixed funds, 7 bond funds, and 2 QDII funds, with a total issuance of 27.604 billion units [2][4] Fund Performance - The Wind All Fund Index rose by 1.02% last week, with the ordinary equity fund index increasing by 1.77% and the mixed equity fund index rising by 1.81%. The bond fund index, however, saw a slight decline of 0.10% [3][7] - The performance of various fund categories showed that the ordinary equity fund index and the mixed equity fund index had year-to-date returns of 14.91% and 14.49% respectively, indicating strong performance in the equity space [7] Global Asset Review - Global asset performance showed significant divergence, with developed market equities generally rising due to favorable conditions from anticipated interest rate cuts by the Federal Reserve and positive corporate earnings reports. Emerging markets displayed mixed results, with the Hang Seng Index and Ho Chi Minh Index rebounding strongly, while the German DAX Index faced challenges from high energy costs and weak manufacturing [5] - In the commodities market, coking coal prices surged due to supply constraints, while oil prices faced downward pressure from demand concerns. Natural gas prices plummeted by 11.67% [5] Domestic Bond Market Review - The bond market exhibited a clear "see-saw" effect with the national bond futures index declining by 0.58%. Short-term funding spreads showed little change, while medium to long-term rates remained low [11]