Group 1: Capital Flow and Liquidity - Southbound funds have seen a cumulative net inflow of over 250 billion yuan in the past three months, with weekly net inflows exceeding 10 billion yuan[14] - Retail investors contributed a net inflow of 134.86 billion yuan in the last week, marking a 22.5 billion yuan increase from the previous value, maintaining a high level at the 76.4 percentile over the past five years[8] - Leverage funds continue to flow in at high levels, with net inflows of approximately 322.8 billion yuan last week, although this is a decrease from the previous week's 446.1 billion yuan[30] Group 2: Market Trends and Investor Sentiment - The Shanghai Composite Index experienced its first decline after five consecutive weeks of increases, indicating a potential shift in market sentiment[8] - The trading heat for the machinery sector increased by 29 percentage points to 86%, while the construction sector rose by 24 percentage points to 72%[9] - The search interest in A-shares has declined, reflecting a cooling investor sentiment despite high net inflows from retail investors[8] Group 3: ETF and Fund Performance - The net subscription for stock ETFs dropped significantly to -38.13 billion yuan, a stark contrast to the previous net inflow of -5.3 billion yuan, placing it at the 1.9 percentile over the past three years[42] - The issuance of new public equity funds decreased to 9.21 billion yuan, which is at the 46 percentile over the past three years, indicating a contraction in new fund launches[50] - The total amount of share buybacks increased to 3.6 billion yuan, up from 1.85 billion yuan, reflecting a strong buyback trend at the 78 percentile over the past three years[46]

Group 1: Fund Liquidity - Southbound funds have seen a cumulative net inflow of over 250 billion CNY in the past three months, with weekly net inflows exceeding 10 billion CNY[5] - Leverage funds continue to see high net inflows, with net inflow of 322.8 billion CNY last week, maintaining a high level at the 93rd percentile over the past three years[11] - Stock-type ETFs experienced a significant net outflow of 381.3 billion CNY, placing it at the 1.9th percentile over the past three years[18] Group 2: Trading Congestion - The trading heat for the machinery sector increased by 29 percentage points to 86%, while the construction sector rose by 24 percentage points to 72%[52] - The insurance sector's trading heat increased by 13 percentage points to 28%, whereas the light industry, photovoltaic, and military industries saw declines of 18, 17, and 16 percentage points, respectively[52] Group 3: Investor Sentiment - The A-share market saw a decline after five consecutive weeks of increases, with a drop in overall search heat for A-shares on social media[65] - Retail investor net inflow in the A-share market was 134.9 billion CNY last week, maintaining a high level at the 76.4th percentile over the past five years[2]

Group 1: Liquidity and Fund Flow - The supply side of funds is expanding, with net inflows of leveraged funds remaining high, and the issuance of equity public funds returning to high levels, with 172 billion units newly established[6] - Southbound funds have maintained a weekly average net inflow of over 10 billion for ten consecutive weeks, with a cumulative net inflow of nearly 200 billion[6] - The net inflow of margin financing last week was approximately 446.1 billion, marking a 97% percentile over the past three years, and the total margin financing balance reached 1.93 trillion[13] Group 2: Trading Activity and Market Sentiment - The trading heat for the mechanical industry increased by 55 percentage points to 67%, while the banking sector decreased by 20 percentage points to 51%[2] - Retail investor net inflow in the A-share market reached 132.6 billion, an increase of 539.8 billion from the previous value, marking a new high since April this year[2] - The Shanghai Composite Index reached a year-to-date high of 3600 points on July 23, driving an increase in A-share search heat on platforms like Kuaishou and Douyin[2] Group 3: Sector Performance - The net inflow for the pharmaceutical sector was 48.5 billion, while the petrochemical sector saw a net outflow of 8.0 billion[22] - The net inflow for the non-ferrous metals sector was 45.4 billion, and the machinery sector recorded a net inflow of 38.7 billion[22] - The stock-type ETF experienced a net outflow of 60 billion, which is at the 20.5% percentile over the past three years[23]

Quantitative Models and Construction Methods 1. Model Name: Interest Rate Bond Expected Return Model - **Model Construction Idea**: This model decomposes the expected return of interest rate bonds into several components and uses Monte Carlo simulations to predict the expected return for bonds of any maturity over a one-year holding period [8] - **Model Construction Process**: The expected return of interest rate bonds is decomposed into the following components: - Coupon yield - Roll yield - Duration yield - Convexity yield The formula for the expected return is: $ R \approx r_{N} + roll~yield + Dur \cdot (-\Delta r) + \frac{1}{2} Cx \cdot \Delta r^{2} $ Where: - $ r_{N} $ represents the coupon yield - $ roll~yield $ represents the roll-down return - $ Dur $ represents the duration - $ \Delta r $ represents the change in interest rates - $ Cx $ represents the convexity Based on this, the "interest rate bond odds" is defined as: $ Interest~Rate~Bond~Odds = 10Y~Bond~Expected~Return - 1Y~Bond~Expected~Return $ As of July 18, the expected return difference between 10Y and 1Y bonds was -3.2%, indicating extremely low odds for 10Y bonds [8] 2. Model Name: Short-Term Momentum Model - **Model Construction Idea**: This model predicts the short-term (1-month) price movement of interest rate bonds based on three key characteristics of interest rate movements: mean reversion around the interest rate center, 1-month short-term momentum, and 12-month long-term momentum [14] - **Model Construction Process**: The formula for the short-term momentum model is: $ \Delta r_{t+1} = \beta_{1}(\mu - r_{t}) + \beta_{2}(r_{t} - r_{t-1}) + \beta_{3}(r_{t} - r_{t-12}) + \sigma \sqrt{r_{t}} \cdot \varepsilon $ Where: - $ \mu $ represents the interest rate center - $ r_{t} $ represents the current interest rate - $ r_{t-1} $ and $ r_{t-12} $ represent the interest rates 1 month and 12 months ago, respectively - $ \beta_{1}, \beta_{2}, \beta_{3} $ are coefficients - $ \sigma $ represents volatility - $ \varepsilon $ represents random noise The model suggests that the 10Y bond may face short-term downward pressure, and recommends defensive allocation to 1Y bonds [14] 3. Model Name: Trading Heat Monitoring Model - **Model Construction Idea**: This model uses turnover rate and transaction proportion to measure the trading heat of long-term bonds, identifying risks of overcrowded trading [17] - **Model Construction Process**: - Turnover rate = (Trading volume of bonds with maturity >10 years) / (Outstanding balance of bonds with maturity >10 years) - Transaction proportion = (Trading volume of bonds with maturity >10 years) / (Total trading volume of all bonds) Historical data shows that when these indicators exceed 2 standard deviations, the future 1-3 month returns of long-term bonds are negative. When they exceed 4 standard deviations, the risk of significant drawdowns increases [17][18] --- Model Backtesting Results 1. Interest Rate Bond Expected Return Model - **10Y-1Y Expected Return Difference**: -3.2% (as of July 18, 2025) [8] 2. Short-Term Momentum Model - **Annualized Return**: 6.6% - **Maximum Drawdown**: 2.3% - **Q1 Avoided Drawdown**: Approximately 2.2% [14] 3. Trading Heat Monitoring Model - **Turnover Rate**: 1.0 standard deviation - **Transaction Proportion**: 2.2 standard deviations [18]

Liquidity and Fund Flow - Leverage funds continue to see net inflows, reaching a new high since late February, with net inflow of 268 billion CNY last week, placing it in the 90th percentile over the past three years[13] - Southbound funds maintained an average weekly net inflow exceeding 10 billion CNY for nine consecutive weeks, totaling nearly 1700 billion CNY[6] - IPO financing surged to 181.7 billion CNY, representing the 71st percentile over the past three years[26] Trading Congestion - The trading heat for the photovoltaic sector increased by 32 percentage points to 71%, while real estate rose by 27 percentage points to 60%[56] - The building materials sector saw a 25 percentage point increase to 66%, indicating heightened trading activity[56] - Conversely, the chemical sector decreased by 13 percentage points to 59%, and media fell by 9 percentage points to 58%[56] Investor Sentiment - Retail investor net inflow decreased to 566 billion CNY, down 321 billion CNY from the previous value, placing it in the 13.7th percentile over the past five years[2] - The search interest for self-media platforms like Kuaishou and Douyin has declined from previous highs, indicating a cooling in market enthusiasm[69] - The trend of public funds clustering has weakened, with a shift towards value stocks, particularly in electronics, cyclical, and consumer sectors[2]

Liquidity - The net inflow of leveraged funds remains high, with a net inflow of 225 billion CNY in margin financing, placing it in the 87th percentile over the past three years[8] - Southbound funds have maintained a weekly average net inflow of over 10 billion CNY for the past two months, totaling nearly 150 billion CNY[7] - Stock-type ETFs have seen a turnaround with a net inflow of 3 million CNY, compared to a previous outflow of 236 billion CNY[21] Trading Congestion - The trading heat for the construction materials sector increased by 39 percentage points to 49%, while the photovoltaic sector rose by 32 percentage points to 54%[54] - The steel sector's trading heat increased by 25 percentage points to 51%, while the non-ferrous metals sector decreased by 8 percentage points to 23%[54] - The chemical sector's trading heat fell by 6 percentage points to 72%, and the media sector decreased by 6 percentage points to 64%[54] Investor Sentiment - Retail investors saw a net inflow of 887.1 billion CNY, an increase of 35.4 billion CNY from the previous value, placing it in the 40.3 percentile over the past five years[83] - The net inflow of financing funds was 225.3 billion CNY, up by 99.3 billion CNY from the previous week[2] - The market experienced fluctuations, with the Shanghai Composite Index retreating from a high on July 11, leading to increased search interest in self-media platforms like Kuaishou and Douyin[5]

Core Insights - The recent outperformance of small-cap stocks is attributed to a significant influx of retail investor capital compared to institutional investors, indicating a rapid recovery in market risk appetite since September 2024, despite a lag in fundamental improvements [1][11] - The overall return of large-cap styles will depend on the emergence of a fundamental turning point and the return of institutional capital, with potential catalysts being the confirmation of an upward trend in the AI industry cycle or unexpected macro policy enhancements [1][11] Group 1: Misconceptions about Small-Cap Outperformance - Misconception 1: Macro liquidity easing is beneficial for small-cap stocks. Historical data shows that small-cap performance is not solely determined by macro liquidity conditions, as both small and large-cap stocks have outperformed in various liquidity environments [2] - Misconception 2: The influx of quantitative private equity funds is driving small-cap outperformance. The actual scale of private equity fund inflows has not been as significant as perceived, and quantitative funds are more likely to act as "discoverers" of excess returns rather than creators [4] - Misconception 3: Trading congestion is an effective timing indicator for small-cap stocks. Historical trends indicate that high trading activity does not necessarily lead to a downturn in small-cap stocks, as they can continue to outperform even during periods of high trading volume [6] Group 2: Drivers of Small-Cap Performance - The current small-cap outperformance may be primarily driven by changes in the micro-funding structure, particularly the irrational trading behavior of retail investors entering the market [8] - In both Hong Kong and A-share markets, the correlation between retail investor inflows and small-cap index performance suggests that retail participation is a significant factor in the recent small-cap outperformance [9] - The switch between small and large-cap styles may require a turning point in economic trends, with historical patterns indicating that institutional capital tends to lead market shifts when macro policies or industry trends experience breakthroughs [11]

Liquidity and Funding - The supply side of funds is contracting, with public equity new issuance dropping to 3.52 billion units from 14.36 billion, representing a 44% percentile over the past three years[8] - Southbound funds have maintained a weekly average net inflow of over 10 billion for seven consecutive weeks, totaling over 120 billion[4] - The total amount of stock buybacks increased significantly to 9 billion from 2.09 billion, reaching the 98% percentile over the past three years[24] Trading Congestion - The trading heat for the photovoltaic sector rose by 22 percentage points to 27%, while the steel sector increased by 21 percentage points to 39%[4] - The brokerage sector's trading heat increased by 14 percentage points to 53%, indicating a strong interest in these sectors[50] - Conversely, the mechanical sector's trading heat decreased by 11 percentage points to 11%, and the medical services sector fell by 6 percentage points to 84%[4] Investor Sentiment - Retail investor net inflow in the A-share market reached 81.57 billion, an increase of 21.87 billion from the previous value, placing it in the 37.6% percentile over the past five years[4] - The market saw a significant rise in search interest for A-shares on Kuaishou, reaching a new high for the year as the Shanghai Composite Index approached 3500 points[66] - The sentiment on Weibo improved significantly, driven by the Shanghai Composite Index hitting a new high, indicating a rise in optimistic sentiment among investors[74]

Liquidity and Fund Flow - The supply side of funds has slightly contracted, with public equity issuance recovering in the past two weeks, and leveraged funds seeing a significant net inflow of 265 billion CNY, ranking in the 90th percentile over the past three years[6] - Equity financing surged by 543.5 billion CNY in the last two weeks, placing it in the 99th percentile over the past three years[4] - Southbound funds continued to flow in, with a net inflow of 259 billion CNY, ranking in the 88th percentile over the past three years[39] Trading Congestion - Financial and TMT sectors saw an increase in trading heat, with brokerage heat rising by 34 percentage points to 39% and computer sector heat increasing by 16 percentage points to 67%[4] - Conversely, the chemical sector experienced a decline of 11 percentage points to 79%, and the real estate sector decreased by 9 percentage points to 34%[4] Investor Sentiment - The Shanghai Composite Index reached a new high for the year, driving a surge in search interest for Kuaishou A-shares[4] - Retail investor net inflow decreased to 633 billion CNY, down 402.1 billion CNY from the previous value, placing it in the 19.2 percentile over the past five years[4] - The net inflow of financing funds increased to 265.3 billion CNY, up 300.4 billion CNY from the previous week[4]

Funding Supply - The newly established shares of equity public funds decreased significantly to 1.1 billion yuan, down from 9.5 billion yuan, representing a 29% percentile over the past three years[4] - The net inflow of margin financing increased to 7.9 billion yuan, compared to 6.9 billion yuan, maintaining a 72% percentile over the past three years[4] - The net subscription of stock ETFs was -18.1 billion yuan, marking a low of 6% over the past three years[4] Funding Demand - Equity financing rose to 5.7 billion yuan, reaching a 30% percentile over the past three years[4] - The net outflow of industrial capital increased to 4.6 billion yuan, representing a 56% percentile over the past three years[4] - The net inflow of southbound funds was 14.2 billion yuan, continuing a trend of over 10 billion yuan weekly for four consecutive weeks, with a 69% percentile over the past three years[4] Market Trends - The total market value of restricted shares released was 62.4 billion yuan, significantly up from 28.9 billion yuan, at a 56% percentile over the past three years[4] - The trading heat in the medical services sector rose to a high of 92%, while the military industry saw a significant drop of 14 percentage points to 77%[39][42] - The overall sentiment in ETF funding is at a low point, with a notable outflow indicating bearish market conditions[19]