Core Viewpoint - The Shanghai Composite Index has reached new highs, but there are signs of a cooling trading sentiment due to the pullback in high-position sectors like overseas computing power and pharmaceuticals, along with a slight decline in total trading volume across the A-share market. The focus for the upcoming week will be on the results of the China-US tariff negotiations and the earnings reports from leading internet companies, which may provide guidance on the domestic AI development trend. In the medium term, the logic of a slow bull market driven by improved ROE expectations and liquidity remains unchanged, suggesting that any market pullback could present a buying opportunity [1][3][6]. Market Trends - The current market shows a clear valuation-driven characteristic, with historical examples of significant valuation factor contributions during previous market phases, such as H2 2014 to H1 2015, Q1 2019, 2020-2021, and Q4 2024. These historical patterns provide insights into the current market dynamics [1][3][6]. - The market trend is influenced by liquidity expectations, where once a positive feedback loop of funds is initiated, the impact of fundamental factors on market fluctuations diminishes. Changes in liquidity expectations have historically led to trend shifts [2][6]. Incremental Capital Characteristics - The behavior of incremental capital influences market style. In the first half of the year, the shares of actively managed equity funds and pure bond funds have declined, while "fixed income plus" funds have shown signs of recovery, indicating that they may serve as a key vehicle for resident capital entering the equity market during the initial phase of the market's profit-making effect [2][7]. Structural Rotation Patterns - Historical liquidity bull markets have shown clear patterns of low-position asset rebounds during their initial and concluding phases, with high-growth sectors and high capital sensitivity growth styles performing best throughout the bull market phases [9][19]. - The current market structure indicates that sectors like overseas computing power and innovative pharmaceuticals are experiencing a phase of adjustment, attributed to high trading concentration and uncertainties surrounding tariff policies [3][13][15]. Valuation and Earnings Outlook - The current valuation levels for sectors such as optical modules and Hong Kong innovative pharmaceuticals are still below the average valuation levels since 2022, suggesting potential for future valuation adjustments. The upcoming quarter may see a shift in valuations, with the 2026 forecasted PE significantly lower than historical averages for these sectors [17][19]. - The distribution of gains and losses across various industries remains balanced, with the annual gain-loss distribution of the Shenwan secondary industry index at a reasonable level compared to historical data [19].

Group 1 - The core viewpoint of the articles highlights the sustained enthusiasm of public funds for research, with 178 public funds conducting research on 463 listed companies as of August 6 [1][2] - The top three companies receiving the most public fund research are all in the communication equipment industry: DingTong Technology with 75 funds, ZhongJi XuChuang with 71 funds, and XinYiSheng with 63 funds [1][2] - The increase in research frequency is attributed to the improving cyclical prosperity of the communication equipment industry, indicating a potential turning point in industry profitability [2][3] Group 2 - Notable companies in the top five for public fund research also include JiangHe Group from the construction decoration industry with 58 funds and ShiJia GuangZi from the communication equipment industry with 55 funds [2] - Several companies in the top ten for public fund research have shown significant stock price increases this year, with ShiJia GuangZi up 249.26%, and DingTong Technology, XinYiSheng, and DeFu Technology all rising over 100% [3] - Prominent fund managers, including vice presidents, have actively participated in research, reflecting the importance placed on research by public funds and potentially indicating future investment directions [4]

Market Overview - The Shanghai Composite Index decreased by 0.24% as of 10:28 AM, with a trading volume of 677.98 million shares and a turnover of 828.605 billion yuan, representing a 1.19% decrease from the previous trading day [1]. Industry Performance - The top-performing industries included: - Computer: Increased by 0.77% with a turnover of 774.04 billion yuan, led by Tianrun Technology, which rose by 29.72% [1]. - Textile and Apparel: Increased by 0.49% with a turnover of 64.82 billion yuan, led by Jinchun Co., which rose by 9.28% [1]. - Light Industry Manufacturing: Increased by 0.48% with a turnover of 92.19 billion yuan, led by Tianan New Materials, which rose by 10.05% [1]. - The worst-performing industries included: - Building Decoration: Decreased by 1.50% with a turnover of 303.16 billion yuan, led by Zhubo Design, which fell by 12.93% [2]. - Building Materials: Decreased by 1.38% with a turnover of 147.44 billion yuan, led by Huaxin Cement, which fell by 8.32% [2]. - Comprehensive: Decreased by 1.23% with a turnover of 18.25 billion yuan, led by Nanjing New Hundred, which fell by 6.98% [2]. Summary of Key Stocks - Notable gainers included: - Tianrun Technology (Computer sector) with a significant increase of 29.72% [1]. - Jinchun Co. (Textile and Apparel sector) with an increase of 9.28% [1]. - Tianan New Materials (Light Industry Manufacturing sector) with an increase of 10.05% [1]. - Notable decliners included: - Zhubo Design (Building Decoration sector) with a decrease of 12.93% [2]. - Huaxin Cement (Building Materials sector) with a decrease of 8.32% [2]. - Nanjing New Hundred (Comprehensive sector) with a decrease of 6.98% [2].

Market Overview - The A-share market showed mixed performance today, with major indices mostly declining. The Shanghai Composite Index fell by 0.03% to close at 3503.78 points, while the Shenzhen Component Index and the ChiNext Index both decreased by 0.22%, closing at 10720.81 points and 2230.19 points respectively. The STAR 50 Index, however, increased by 0.14% to 997.63 points [1][10] - Overall, there were 3276 stocks that rose, while 1928 stocks fell, and 212 stocks remained unchanged. The total trading volume in the Shanghai and Shenzhen markets was 1442 billion yuan, a decrease of 170 billion yuan compared to the previous trading day [1][10] Industry Performance - Among the primary industries, the top performers included Social Services, Automotive, Pharmaceutical and Biological, Light Industry Manufacturing, and Agriculture, Forestry, Animal Husbandry, and Fishery, with respective increases of 1.13%, 1.07%, 0.95%, 0.94%, and 0.85%. Conversely, the sectors that experienced declines included Steel, Banking, Non-Ferrous Metals, Non-Bank Financials, and Construction Decoration, with decreases of 1.28%, 0.74%, 0.45%, 0.43%, and 0.42% [1][10] - The leading concept sectors today were Continuous Limit Up, Animal Vaccines, First Limit Up, and others, while sectors like Circuit Boards, Lithium Mining, and Industrial Metals faced declines [2][12]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - Today, the convertible bond market followed the equity market's upward trend, with valuations rising on a month - on - month basis. The trading sentiment in the convertible bond market weakened [1]. - The convertible bond price center increased, and the proportion of high - price bonds rose. The overall weighted average closing price of convertible bonds was 124.13 yuan, up 0.43% from yesterday [2]. - Valuations increased. The fitted conversion premium rate for 100 - yuan par value was 25.30%, up 0.71 pct from yesterday [2]. - In the industry performance, more than half of the underlying stock industry indices rose, with 17 industries rising in the A - share market and 18 in the convertible bond market [3]. 3. Summary by Related Catalogs 3.1 Market Main Index Performance - The CSI Convertible Bond Index rose 0.40% month - on - month, the Shanghai Composite Index rose 0.48%, the Shenzhen Component Index rose 0.47%, the ChiNext Index rose 0.22%, the SSE 50 Index rose 0.62%, and the CSI 1000 Index rose 0.25% [1]. - Small - cap value stocks were relatively dominant. Small - cap value stocks rose 1.06%, while large - cap growth stocks rose 0.14% [1]. | Index Code | Index Name | Closing Price | Daily Change (%) | Weekly Change (%) | Monthly Change (%) | YTD Change (%) | | --- | --- | --- | --- | --- | --- | --- | | 000832.CSI | CSI Convertible Bond | 450.71 | 0.40 | 1.43 | 3.45 | 8.72 | | 889033.WI | Convertible Bond Equal - Weighted | 213.99 | 0.28 | 0.99 | 2.56 | 10.04 | | 8841324.WI | Convertible Bond Index | 1960.13 | 0.34 | 1.94 | 4.41 | 18.75 | | 884257.WI | Convertible Bond Pre - plan | 1713.71 | 0.21 | 1.32 | 5.18 | 17.43 | | 000001.SH | Shanghai Composite Index | 3509.68 | 0.48 | 1.59 | 3.23 | 4.71 | | 399001.SZ | Shenzhen Component Index | 10631.13 | 0.47 | 2.10 | 3.72 | 2.08 | | 399006.SZ | ChiNext Index | 2189.58 | 0.22 | 3.10 | 6.22 | 2.24 | | 000016.SH | SSE 50 Index | 2756.93 | 0.62 | 1.26 | 2.61 | 2.69 | | 000852.SH | CSI 1000 Index | 6406.57 | 0.25 | 1.54 | 3.02 | 7.53 | [7] 3.2 Market Capital Performance - The trading volume in the convertible bond market was 66.907 billion yuan, a 1.57% decrease from the previous day. The total trading volume of the Wind All - A Index was 1.515068 trillion yuan, a 0.81% decrease from the previous day [1]. - The net outflow of main funds from the Shanghai and Shenzhen stock markets was 21.158 billion yuan, and the yield of the 10 - year Treasury bond rose 1.70 bp to 1.66% [1]. 3.3 Convertible Bond Price and Valuation - The overall closing - price weighted average of convertible bonds was 124.13 yuan, up 0.43% from yesterday. The closing price of equity - biased convertible bonds was 164.25 yuan, down 0.91%; that of bond - biased convertible bonds was 115.18 yuan, up 0.46%; and that of balanced convertible bonds was 124.13 yuan, up 0.29% [2]. - The proportion of bonds with a closing price above 130 yuan was 33.19%, up 1.57 pct from yesterday. The largest change in proportion was in the 100 - 110 (including 110) range, with a proportion of 3.19%, down 1.08 pct from yesterday. There were 2 bonds with a closing price below 100 yuan [2]. - The median price was 125.74 yuan, up 0.51% from yesterday. The fitted conversion premium rate for 100 - yuan par value was 25.30%, up 0.71 pct from yesterday. The overall weighted par value was 94.96 yuan, up 0.51% from yesterday [2]. 3.4 Industry Performance - In the A - share market, the top three rising industries were real estate (+3.19%), petroleum and petrochemicals (+1.54%), and steel (+1.44%); the top three falling industries were automobiles (-0.62%), media (-0.54%), and national defense and military industry (-0.41%) [3]. - In the convertible bond market, the top three rising industries were environmental protection (+2.50%), coal (+1.39%), and non - bank finance (+0.95%); the top three falling industries were communications (-0.92%), agriculture, forestry, animal husbandry and fishery (-0.67%), and media (-0.24%) [3]. - In terms of different sectors: - Closing price: The large - cycle sector rose 0.81%, the manufacturing sector rose 0.05%, the technology sector fell 0.22%, the large - consumption sector rose 0.12%, and the large - finance sector rose 0.66% [3]. - Conversion premium rate: The large - cycle sector decreased 1.1 pct, the manufacturing sector increased 0.32 pct, the technology sector increased 0.024 pct, the large - consumption sector decreased 0.13 pct, and the large - finance sector decreased 0.34 pct [3]. - Conversion value: The large - cycle sector rose 1.12%, the manufacturing sector fell 0.41%, the technology sector fell 0.25%, the large - consumption sector rose 0.07%, and the large - finance sector rose 0.96% [3]. - Pure - bond premium rate: The large - cycle sector rose 1.0 pct, the manufacturing sector rose 0.046 pct, the technology sector fell 0.28 pct, the large - consumption sector rose 0.11 pct, and the large - finance sector rose 0.77 pct [4]. 3.5 Industry Rotation - Real estate, petroleum and petrochemicals, and steel led the rise. For example, real estate had a daily increase of 3.19% in the underlying stock market, and its PE (TTM) 3 - year quantile was 97.80%, and PB (LF) 3 - year quantile was 51.03% [53].

Core Viewpoint - The report highlights the net capital inflow and outflow across various industries, indicating a significant disparity in market performance, with the media sector experiencing the highest inflow and the electronics sector facing the largest outflow [1][2]. Industry Summary Capital Inflow - The media industry recorded a net capital inflow of 1.055 billion, with a price change of 1.35% and a turnover rate of 3.25%, showing a 20.48% increase in trading volume compared to the previous trading day [1]. - The retail trade sector saw a net inflow of 0.864 billion, with a price change of 0.48% and a turnover rate of 2.29%, reflecting a 25.90% increase in trading volume [1]. - The construction decoration industry had a modest net inflow of 0.040 billion, with a price change of 0.37% and a turnover rate of 1.31%, with a 19.23% increase in trading volume [1]. Capital Outflow - The electronics industry experienced the largest net outflow of 7.789 billion, with a price change of -0.82% and a turnover rate of 2.92%, showing a 2.32% decrease in trading volume [2]. - The non-banking financial sector had a net outflow of 7.411 billion, with a price change of -0.61% and a turnover rate of 1.77%, reflecting a 13.90% increase in trading volume [2]. - The electric equipment industry faced a significant net outflow of 4.576 billion, with a price change of 0.17% and a turnover rate of 3.45%, showing a 2.05% decrease in trading volume [2].

Group 1 - The recently released "Action Plan for Promoting the High-Quality Development of Public Funds" indicates a significant change in the A-share market ecosystem, facilitating the entry of medium to long-term funds, particularly from institutional investors like social security funds and insurance capital [1] - The A500 index, which tracks the top 500 stocks in the A-share market, covers 63% of total revenue and 70% of total net profit in the market, making it a strong tool for long-term investment in China's capital market [2] - The A-share market has seen a rise in high-quality stocks and high-dividend assets, with many investors recognizing the appeal of value investing as these stocks reach new highs [1] Group 2 - The A500 ETF (159339) has shown a daily average trading volume of 276 million yuan over the past 20 trading days, indicating high market activity [1] - The A50 index, which includes major large-cap stocks across various industries, benefits from increased market concentration due to supply-side reforms, making these stocks more attractive during earnings disclosure periods [2] - Recent data shows that China's export performance exceeded expectations, highlighting the resilience of the Chinese economy and the diversification of its foreign trade, which helps mitigate external shocks [2]

Quantitative Models and Construction Methods 1. Model Name: Market Sentiment Timing Model - **Model Construction Idea**: The model is built from a structural perspective to quantify market sentiment using various sub-indicators[7] - **Model Construction Process**: - The model uses sub-indicators such as industry trading volatility, trading crowding, price-volume consistency, Sci-Tech Innovation Board (STAR 50) trading proportion, industry trend, RSI, main buying force, PCR combined with VIX, and financing balance ratio[8] - Each sub-indicator is scored based on its sentiment direction and position within Bollinger Bands. Scores are categorized as (-1, 0, 1)[8] - The final sentiment structural indicator is the 20-day moving average of the summed scores. The indicator fluctuates around 0 within the range of [-6, 6][8] - **Model Evaluation**: The model effectively captures market sentiment trends and provides actionable insights for timing decisions[8] 2. Model Name: Moving Average Scoring System (MASS) - **Model Construction Idea**: This model evaluates long-term and short-term trends of indices using N-day moving averages to generate timing signals[18] - **Model Construction Process**: - For N moving averages (N=360 for long-term, N=60 for short-term), scores are assigned based on the relative position of adjacent moving averages. If a shorter moving average is above a longer one, it scores 1; otherwise, it scores 0[18] - The scores are standardized to a 0-100 scale and averaged to derive the trend score at a specific time point[18] - Long/short-term timing signals are generated based on the crossover of the trend score with its 100/20-day moving average[18] - **Model Evaluation**: The model provides clear signals for sector rotation and market style preferences, favoring value and defensive sectors in the current environment[18] 3. Model Name: RSI Style Timing Model - **Model Construction Idea**: The model uses the Relative Strength Index (RSI) to compare the relative strength of different market styles (e.g., growth vs. value, small-cap vs. large-cap)[22] - **Model Construction Process**: - For two indices A and B, calculate the standardized ratio of their net values over a fixed period[22] - Compute the average gain (Gain) and average loss (Loss) over N days, where gains on down days are treated as 0 and losses on up days are treated as 0[22] - RSI formula: $ RSI = 100 - 100 / (1 + Gain / Loss) $ - RSI values range from 0 to 100, with values above 50 indicating stronger buying pressure[22] - The model calculates 5-day, 20-day, and 60-day RSI values. When the 20-day RSI exceeds the 60-day RSI, the numerator style is favored; otherwise, the denominator style is favored[22] - **Model Evaluation**: The model effectively identifies style dominance, currently favoring large-cap and value styles while noting short-term strengthening of growth and small-cap styles[22] --- Model Backtesting Results 1. Market Sentiment Timing Model - Sentiment indicator value as of April 30, 2025: 0.8, indicating a recovery in market sentiment[9] 2. Moving Average Scoring System (MASS) - Short-term signals: Positive for sectors like beauty care (72.88), utilities (86.44), banking (74.58), and oil & petrochemicals (22.03)[19] - Long-term signals: Positive for sectors like banking (95.54), machinery (78.55), and steel (51.25)[19] 3. RSI Style Timing Model - Growth/Value (300 Growth/300 Value): RSI 20-day = 53.02, RSI 60-day = 50.42, favoring value[25] - Small-cap/Large-cap (SW Small/SW Large): RSI 20-day = 48.84, RSI 60-day = 53.62, favoring large-cap[25] --- Quantitative Factors and Construction Methods 1. Factor Name: RSI - **Factor Construction Idea**: Measures the relative strength of buying and selling forces over a specific period[22] - **Factor Construction Process**: - Calculate the average gain (Gain) and average loss (Loss) over N days[22] - Formula: $ RSI = 100 - 100 / (1 + Gain / Loss) $ - RSI values range from 0 to 100, with higher values indicating stronger buying pressure[22] - **Factor Evaluation**: Provides a robust measure of market momentum and style preferences[22] --- Factor Backtesting Results 1. RSI - Growth/Value (300 Growth/300 Value): RSI 20-day = 53.02, RSI 60-day = 50.42, favoring value[25] - Small-cap/Large-cap (SW Small/SW Large): RSI 20-day = 48.84, RSI 60-day = 53.62, favoring large-cap[25]