Group 1 - The report highlights the ongoing trend of de-dollarization globally, with a resilient domestic economy in China [21][28][29] - The U.S. fiscal deficit continues to rise, with projections indicating a deficit-to-GDP ratio around 5% for 2025-2030, driven by inflexible spending on social security and healthcare [6][9] - Foreign ownership of U.S. Treasury bonds has decreased from 35% in 2015 to approximately 25%, with significant reductions from China and Japan [13][18] Group 2 - The report discusses the increasing interest in quantitative private equity strategies, particularly in the context of the A-share market, where small-cap stocks have shown strong performance [53][45] - The report notes a significant rise in the number and scale of newly registered private equity products, with September 2025 seeing 1,048 new products and a total scale of 5.97 trillion yuan [62][61] - The performance of quantitative strategies has been impacted by market conditions, with small-cap strategies experiencing high excess returns earlier in the year, but facing challenges as large-cap tech stocks gained momentum [53][60] Group 3 - The report emphasizes the importance of macroeconomic factors and the potential for CTA (Commodity Trading Advisor) strategies to return to a favorable environment as market volatility increases [77][80] - It notes that the CTA strategies have shown significant performance differentiation, particularly in response to policy-driven market changes [80][89] - The report suggests that the long-term trend of de-dollarization and geopolitical tensions may create opportunities for gold and other commodities, reinforcing the necessity of holding gold as a hedge [21][28][86]

Core Viewpoint - The "China Galaxy Securities · China Securities Journal Private Equity Industry Starry Navigation Plan" aims to empower private equity firms that excel in professional capabilities, technological innovation, and compliance governance, fostering an efficient industry ecosystem that connects technology, capital, and the real economy [1] Group 1: Strategic Transformation Driven by Technology - Zenlong Asset, established in 2014, initially gained recognition in fixed income investment and has since expanded into stock and quantitative strategies, managing approximately 7.5 billion yuan [2] - The firm focuses on hard technology sectors such as semiconductors, high-end manufacturing, and AI, with a systematic approach to technology investment through dedicated funds and strategies [2] - The transition to quantitative strategies is driven by the team's technological background and aligns with national economic transformation and policy support for the tech manufacturing sector [2] Group 2: Integration of Social Responsibility - Zenlong Asset incorporates social responsibility into its business model, creating a unique "investment-empowerment-feedback" closed-loop system [3] - The firm enhances the efficiency of capital use for tech companies through financial investment and deep technical collaboration, exploring partnerships with AI firms for model optimization and data application [3] - The company has proactively engaged in educational equity and mental health initiatives, establishing programs that provide professional training for teachers in under-resourced areas and psychological support for students [4] Group 3: Future Outlook and Collaboration - Zenlong Asset anticipates significant advancements in investment strategies through collaboration with AI technology firms, enhancing the intelligence of quantitative models and data processing [5] - The firm is expanding its collaboration with brokerage institutions, recognizing their role in supporting the scalable development of quantitative strategies [6] - The company aims for its quantitative and stock products to constitute over 50% of its total scale within three years, reinforcing its influence in the technology finance sector [6]

Core Insights - The article discusses the strategic transformation of Zenlong Asset, a private equity firm, from fixed income investments to technology-driven and innovative investment strategies, emphasizing its commitment to social responsibility [1][2]. Group 1: Strategic Transformation - Zenlong Asset was established in 2014 and initially gained recognition in the private equity sector through fixed income investments, being rated among the top bond trading institutions for two consecutive years [2]. - The firm began building its stock and quantitative teams in 2021, indicating a proactive approach to transitioning towards technology and innovation [2]. - Zenlong Asset currently manages approximately 7.5 billion yuan, with a product line that includes bonds, stocks, and quantitative strategies, focusing on sectors like semiconductors, high-end manufacturing, and AI [2]. Group 2: Social Responsibility - Zenlong Asset integrates social responsibility into its business model, creating a unique "investment-empowerment-feedback" loop [3]. - The firm supports the growth of technology companies not only through financial investments but also by enhancing operational efficiency through specialized fund management [3]. - Zenlong Asset has initiated educational and mental health projects, such as the "Looking Up to the Stars Education Public Welfare Fund," aimed at promoting educational equity and mental health support in schools [4]. Group 3: Future Outlook - The firm anticipates significant advancements in AI and quantitative strategies, aiming for a 50% share of its total assets to be allocated to these areas within the next three years [6]. - Zenlong Asset views collaboration with brokerage firms as crucial for the scalable development of quantitative strategies, highlighting the importance of technological support [6]. - The "Starry Navigation Plan" is expected to foster a positive industry ecosystem by promoting private equity's role in supporting technological innovation and social responsibility [6].

Core Insights - As of October 31, 2025, 91.33% of the 10,969 private equity funds achieved positive returns, with an average return rate of 24.32% [1][3] - The top 5% of funds yielded an impressive return of 72.03%, indicating a strong performance across the market [1][3] Strategy Performance - **Equity Strategy**: Leading with an average return of 29.52%, 92.73% of equity funds reported positive returns. Among 6,931 funds, 6,427 were profitable, with the top 5% achieving a return of 82.48% [1][3] - **Multi-Asset Strategy**: Ranked second with an average return of 19.71% and a positive return rate of 91.61%. This strategy effectively captured equity market gains while diversifying risks through bonds and commodities [1][3] - **Combination Funds**: Showed strong stability with 96.85% of funds in positive territory, although the average return of 17.86% was slightly lower than that of multi-asset strategies [1][3] - **Bond Strategy**: Maintained a conservative approach with an average return of 8.77%, but 90.09% of funds achieved positive returns, highlighting its risk-averse nature [2][3] - **Futures and Derivatives Strategy**: Experienced moderate performance with an average return of 13.02% and 82.43% of funds in positive territory, affected by volatile commodity prices [2][3] Sub-Strategy Insights - **Quantitative Long Strategy**: Emerged as the top performer within equity strategies, boasting an average return of 36.76% and a positive return rate of 96.52%, significantly outperforming subjective long strategies [3][5] - **Subjective Long Strategy**: Achieved a return of 29.72%, with a notable 5% percentile return of 86.45%, indicating strong performance in specific sectors like technology [4][5] - **Market Neutral and Long-Short Strategies**: Reported lower average returns of 9.22% and 18.29%, respectively, due to their hedging mechanisms limiting upside potential [4][5] Market Dynamics - The performance of quantitative strategies has been attributed to several factors, including rapid sector rotation in technology and high trading volumes in the A-share market, which support high-frequency trading [6]

Core Insights - The A-share market has shown a slow upward trend since 2025, with a significant recovery in the bond market and notable performance in stock index futures and precious metals [1] - Private equity funds have performed exceptionally well this year, with 91.33% of products achieving positive returns and an average return rate of 24.32% as of October 31, 2025 [1] Summary by Strategy Type - **Equity Strategy**: Leads with an average return of 29.52% and a positive return rate of 92.73%, with 6,427 out of 6,931 products making profits, benefiting from the structural market rally in A-shares [1] - **Multi-Asset Strategy**: Ranks second with an average return of 19.71% and a positive return rate of 91.61%, effectively capturing equity market gains while diversifying risks through bonds and commodities [1] - **Combination Funds**: Show strong profitability stability with a positive return rate of 96.85%, although the average return of 17.86% is slightly lower than that of multi-asset strategies [1] Bond and Commodity Strategies - **Bond Strategy**: Maintains a steady style with an average return of 8.77%, the lowest among the five strategies, but with a strong positive return rate of 90.09%, reflecting robust risk defense capabilities [2] - **Commodity Strategy**: Faces challenges due to volatile prices in oil and gold, resulting in a relatively modest average return of 13.02% and a positive return rate of 82.43% [2] Quantitative Long Strategy Performance - The quantitative long strategy has excelled with an average return of 36.76% and a positive return rate of 96.52%, significantly outperforming the overall equity strategy [2] - Factors driving this success include adaptability to structural market conditions, high liquidity in the A-share market, volatility benefits, and enhanced data processing through AI technology [3]

一、稀土巨头的阳谋与散户的困局 欧洲稀土巨头索尔维最近干了件大事。他们不仅跟美国两家磁铁制造商签了供应协议，还要扩建法国工厂。这事儿放在全球供应链重构的背景下，简直就是 一记重拳。但有意思的是，当我打开股吧论坛，发现大多数人还在争论明天大盘是涨是跌。 菲利普·凯伦这个老狐狸说得直白："美国客户已经准备好签合同了。"言下之意就是钱到位了。可咱们的散户朋友呢？还在为要不要补仓纠结得睡不着觉。 这让我想起十八年前刚接触量化系统时的自己——盯着分时图上的每一根波动线，活像个赌场里数牌的菜鸟。 二、牛市幻觉与真实世界的鸿沟 都说牛市来了猪都能飞，但现实是多数人连猪都不如。为什么？因为大多数人根本分不清什么是"看得见的机会"，什么是"抓得住的机会"。就像现在稀土概 念炒得火热，但真正能吃到肉的，早在一个月前就通过机构资金流向锁定了目标。 我见过太多人在牛市中赚过又吐回去的故事。上周还有个老友炫耀他抓到了涨停板，结果这周就哭诉"刚解套又套牢"。问题出在哪？他们总把K线图当圣 经，却不知道机构早就在量化数据里留下了蛛丝马迹。 | ∞ 机构库存 高度活跃: 增加 | LULL LLL LLL LLL P | | | " | | ...

Quantitative Models and Construction Methods Models and Construction Methods 1. Model Name: Competitive Advantage Portfolio - **Model Construction Idea**: This model incorporates the competitive environment and strategic factors of enterprises into the stock selection logic, providing a value quantification perspective different from traditional factor investing[12] - **Model Construction Process**: The framework identifies four types of industries: "Barrier Shield", "Intense Competition", "Steady Progress", and "Seeking Breakthrough". The strategy focuses on identifying "dominant" companies in the "Barrier Shield" industries and "cooperative win-win" companies in industries without clear leaders. For non-"Barrier Shield" industries, the strategy targets "efficient operation" companies that perform well even in competitive environments[12][13] - **Model Evaluation**: This model has been effective in identifying companies with significant management competitive advantages and maintaining market leadership positions[12] 2. Model Name: Margin of Safety Portfolio - **Model Construction Idea**: The core of competitive advantage lies in creating entry barriers for enterprises, ensuring their unique position and sustainable profitability in the market[17] - **Model Construction Process**: The model calculates the intrinsic value of a company based on its profitability value, selecting the top 50 stocks with the highest margin of safety from a pool of stocks with comprehensive competitive advantages. The portfolio is weighted by dividend yield to maximize the margin of safety[17][19] - **Model Evaluation**: This model effectively identifies companies with significant intrinsic value gaps, providing a reliable reflection of the actual value of enterprises[17] 3. Model Name: Dividend Low Volatility Adjusted Portfolio - **Model Construction Idea**: The model aims to avoid the "high dividend trap" by considering the sustainability of company earnings and long-term value, rather than solely chasing high dividend yields[23] - **Model Construction Process**: The model predicts dividend yields and excludes stocks with extreme price performance or abnormal debt ratios, optimizing the dividend strategy[23] - **Model Evaluation**: This model effectively balances dividend yield and company stability, avoiding the pitfalls of high dividend traps[23] 4. Model Name: AEG Valuation Potential Portfolio - **Model Construction Idea**: The model focuses on the abnormal earnings growth (AEG) to determine the value of investments based on expected total returns, including dividend reinvestment[27] - **Model Construction Process**: The model selects the top 100 stocks using the AEG_EP factor, then narrows down to the top 50 stocks with high dividend reinvestment/P ratios[31] - **Model Evaluation**: This model targets companies with growth potential not yet fully recognized by the market, providing significant investment opportunities[27][31] 5. Model Name: Cash Cow Portfolio - **Model Construction Idea**: The model introduces free cash flow (FCF) and cash flow return on investment (CFOR) as key analysis dimensions to evaluate the profitability and cash generation efficiency of enterprises[35] - **Model Construction Process**: The CFOR system dissects cash flow return rates, revealing how companies convert operating cash flows into net profits, and evaluates the stability of free cash profit ratios and operating asset return rates[35][36] - **Model Evaluation**: This model provides a comprehensive assessment of a company's operational performance and financial stability[35] 6. Model Name: Distress Reversal Portfolio - **Model Construction Idea**: The model captures short-term valuation fluctuations to gain from valuation improvements, complementing the long-term effectiveness of prosperity investment[42] - **Model Construction Process**: The model uses inventory cycles to depict distress reversals, considering accelerated recovery and undervaluation, and constructs a top 50 portfolio based on valuation improvements[42] - **Model Evaluation**: This model effectively captures valuation-driven returns, providing continuous gains even when prosperity investment strategies fail[42] Model Backtest Results Competitive Advantage Portfolio - **Annualized Return**: 20.60%[16] - **Sharpe Ratio**: 0.97[16] - **IR**: 0.12[16] - **Max Drawdown**: -19.32%[16] - **Calmar Ratio**: 1.07[16] Margin of Safety Portfolio - **Annualized Return**: 23.45%[22] - **Sharpe Ratio**: 1.17[22] - **IR**: 0.16[22] - **Max Drawdown**: -16.89%[22] - **Calmar Ratio**: 1.39[22] Dividend Low Volatility Adjusted Portfolio - **Annualized Return**: 17.23%[24] - **Sharpe Ratio**: 1.01[24] - **IR**: 0.16[24] - **Max Drawdown**: -21.61%[24] - **Calmar Ratio**: 0.80[24] AEG Valuation Potential Portfolio - **Annualized Return**: 25.13%[33] - **Sharpe Ratio**: 1.14[33] - **IR**: 0.15[33] - **Max Drawdown**: -24.02%[33] - **Calmar Ratio**: 1.05[33] Cash Cow Portfolio - **Annualized Return**: 14.11%[40] - **Sharpe Ratio**: 0.71[40] - **IR**: 0.10[40] - **Max Drawdown**: -19.80%[40] - **Calmar Ratio**: 0.71[40] Distress Reversal Portfolio - **Annualized Return**: 25.02%[44] - **Sharpe Ratio**: 1.01[44] - **IR**: 0.15[44] - **Max Drawdown**: -33.73%[44] - **Calmar Ratio**: 0.74[44]

Quantitative Models and Construction Methods 1. Model Name: A-share Market Cap/GDP Ratio (Buffett Indicator) - **Model Construction Idea**: The ratio of the total market capitalization of the stock market to GDP is used to measure the alignment between market valuation and the economic fundamentals. A lower ratio indicates the market is undervalued relative to the economy, suggesting potential room for a bull market, while a higher ratio signals potential market bubbles[16][17]. - **Model Construction Process**: - The formula is: $ \text{Buffett Indicator} = \frac{\text{Total Market Cap of A-share}}{\text{GDP}} $ - Interpretation: - Below 60%: Severely undervalued, often seen during major bear markets or periods of extreme economic pessimism (e.g., 2005, 2008, 2013-2014, 2018, and October 2022)[16] - Above 100%: Significantly overvalued, indicating potential market bubbles (e.g., 150% during the 2007 bull market peak, 120% during the 2015 bull market peak)[17] - **Model Evaluation**: This indicator is a useful tool for long-term asset allocation and strategic market timing. However, it should not be used as the sole decision-making tool and is not suitable for short-term trading[20]. 2. Model Name: Ratio of Household Deposits to Total Market Cap - **Model Construction Idea**: This ratio reflects the relative abundance of "off-market funds" compared to "on-market assets." It is conceptualized as the "water reservoir" (household deposits) versus the "irrigated farmland" (stock market capitalization)[21]. - **Model Construction Process**: - The formula is: $ \text{Ratio} = \frac{\text{Household Deposits}}{\text{Total Market Cap of A-share}} $ - Interpretation: - A higher ratio indicates more off-market funds relative to the stock market, suggesting potential for market inflows - A lower ratio indicates a higher proportion of funds already invested in the market - **Model Evaluation**: Similar to the Buffett Indicator, this ratio provides a general indication of market conditions but cannot pinpoint exact turning points. It is also slightly overestimated as it does not account for Chinese investments in overseas markets like Hong Kong and the US[24]. 3. Model Name: Financing Balance/Total A-share Free-float Market Cap Ratio (Leverage Activity Indicator) - **Model Construction Idea**: This ratio measures the activity level of leveraged funds in the A-share market and serves as a barometer for market risk appetite. It evaluates the proportion of the market driven by borrowed funds[25]. - **Model Construction Process**: - The formula is: $ \text{Leverage Activity Ratio} = \frac{\text{Financing Balance}}{\text{Total A-share Free-float Market Cap}} $ - Interpretation: - A higher ratio indicates high investor sentiment and optimism, with more willingness to leverage - A lower ratio indicates lower investor confidence - **Model Evaluation**: While this indicator is useful for gauging market trends, it should be used cautiously as leverage can amplify both market gains and losses. It is essential to remain aware of the potential risks associated with high leverage[28]. 4. Model Name: Stock-Bond Investment Cost-Effectiveness (Equity Risk Premium) - **Model Construction Idea**: This model compares the expected returns of stocks and bonds to determine which asset class offers better value. It measures the equity risk premium, which is the additional return investors expect for taking on the higher risk of stocks[29]. - **Model Construction Process**: - The formula is: $ \text{Equity Risk Premium} = \text{Expected Stock Market Return} - \text{Bond Yield} $ - Interpretation: - Equity risk premium > 4%: Stocks are undervalued and have high cost-effectiveness - Equity risk premium between 2%-4%: Stocks are slightly more attractive, suggesting a balanced allocation - Equity risk premium < 2%: Bonds become more attractive due to their defensive value - **Model Evaluation**: This indicator is a reliable measure of relative attractiveness between stocks and bonds. However, it should be used in conjunction with other macroeconomic indicators for a comprehensive analysis[32]. 5. Model Name: Market Overall Valuation - **Model Construction Idea**: This indicator evaluates the overall valuation level of the market. When the valuation reaches historically high levels, it signals that asset prices are expensive, and market sentiment is overly optimistic, potentially forming a market top[33]. - **Model Construction Process**: - The valuation is calculated based on historical data and compared to previous market peaks - Historical reference points include 2015 (valuation of 23.11) and 2018 (valuation of 19.12) - **Model Evaluation**: While this indicator is useful for identifying potential market tops, it should be used alongside macroeconomic factors. High valuations do not always indicate an imminent market top, as markets can remain overvalued for extended periods[36]. 6. Model Name: Low-Priced Stock Ratio - **Model Construction Idea**: This indicator analyzes the proportion of low-priced stocks in the market, which tends to increase during the late stages of a bull market due to speculative behavior. It serves as an auxiliary indicator for market trend analysis[37]. - **Model Construction Process**: - The ratio is calculated as the proportion of low-priced stocks in the market - Historical trends are analyzed to identify correlations between low-priced stock ratios and market trends - **Model Evaluation**: This indicator is not an absolute signal but serves as a supplementary tool for market analysis. It is particularly useful for identifying speculative bubbles in the market[40]. 7. Model Name: Shareholder Reduction - **Model Construction Idea**: This indicator tracks the behavior of corporate insiders (e.g., shareholders) who are considered to have the best understanding of a company's intrinsic value. A significant increase in shareholder reduction may indicate overvaluation[41]. - **Model Construction Process**: - Monthly frequency data is used to calculate: $ \text{Net Reduction Events} = \frac{\text{Reduction Events} - \text{Increase Events}}{\text{Total Number of Stocks}} $ - **Model Evaluation**: This indicator is more effective in identifying market bottoms when shareholder increases outnumber reductions. It is less reliable for identifying market tops but can still provide valuable insights when combined with other indicators[44]. 8. Model Name: Small Transaction Volume - **Model Construction Idea**: This indicator reflects market sentiment and changes in participant structure. It is based on the logic of the transition between "retail investors entering" and "smart money exiting"[45]. - **Model Construction Process**: - The indicator is calculated as follows: 1. Calculate the ratio of small order net active buy volume to total trading volume for each stock on a weekly basis 2. Select the top 10% of stocks with the highest retail participation 3. Compute the average of the indicator for these stocks and standardize it using a 150-week rolling z-score - **Model Evaluation**: This indicator is a useful supplementary signal for market sentiment. However, it should be used in conjunction with other indicators, as small transaction volume alone may not provide a complete picture of market conditions[48]. 9. Model Name: CSI 300 Turnover Ratio - **Model Construction Idea**: This indicator measures the proportion of CSI 300 turnover relative to the total A-share market turnover. It is used to assess changes in market capital flow and risk appetite, providing insights into whether the market is driven by value or speculation[49]. - **Model Construction Process**: - The formula is: $ \text{CSI 300 Turnover Ratio} = \frac{\text{CSI 300 Turnover}}{\text{Total A-share Turnover}} $ - A 5-day moving average is used for stability - **Model Evaluation**: This indicator is effective in identifying market tops, especially when the ratio exceeds 45%. Currently, the ratio is at 26%, indicating a healthy market condition[53]. 10. Model Name: Proportion of Equity Fund Issuance - **Model Construction Idea**: This classic market sentiment indicator examines the relationship between equity fund issuance and market performance. Extreme values and trends in this ratio are considered warning signs of market overheating[54]. - **Model Construction Process**: - The formula is: $ \text{Proportion of Equity Fund Issuance} = \frac{\text{Monthly Equity Fund Issuance}}{\text{Total A-share Free-float Market Cap}} $ - **Model Evaluation**: The peak values of this indicator have a strong correlation with market trends. Currently, the proportion is relatively low, indicating a healthy market condition[57]. --- Model Backtesting Results 1. A-share Market Cap/GDP Ratio (Buffett Indicator) - Current value: 88%[17] 2. Ratio of Household Deposits to Total Market Cap - Current value: 47.35%[24] 3. Financing Balance/Total A-share Free-float Market Cap Ratio - Current value: 2.5%[28] 4. Stock-Bond Investment Cost-Effectiveness (Equity Risk Premium) - Current value: 3.96%[32] 5. Market Overall Valuation - Current value: 17.33[36] 6. Market Low-Priced Stock Ratio - Current value:

Core Viewpoint - The A-share market has shown a trend of steady upward movement in October, with accelerated sector rotation and a balanced performance between large and small caps, leading to a notable recovery in quantitative long products, with 10 new billion-yuan quantitative private equity firms added in a single month [2] Group 1: New Billion-Yuan Quantitative Private Equity Firms - Six new quantitative private equity firms have entered the billion-yuan club, including Niuda Investment, Square and Investment, Super Quantum Fund, Shanghai Xiaoyong Private Equity, Dadao Investment, and Xiyue Investment [2] - The total number of billion-yuan quantitative private equity firms has reached 55 as of the end of October 2025, with a net increase of 10 firms compared to the end of September [2] Group 2: Performance and Strategy of Quantitative Private Equity - The new billion-yuan private equity firms primarily consist of quantitative managers who attract talent and invest in new technologies and hardware to maintain effective strategies and sustained performance [5] - The average return of the 37 billion-yuan quantitative private equity firms with at least three qualifying products has reached ***% this year [6] - Notable firms with high returns include Ningbo Huansheng Quantitative, Stable Investment, Chengqi Asset, Evolutionary Capital, and Tianyan Capital [6] Group 3: Geographical Distribution and Employee Count - Shanghai has the highest number of billion-yuan quantitative private equity firms, totaling 28, accounting for over 50% of the total, followed by Beijing with 11 firms [6] - Among these firms, 13 have more than 100 employees, with two firms, including Jiankun Investment, having over 150 employees [6] Group 4: Notable Firms and Their Achievements - Ningbo Huansheng Quantitative ranks second in returns for the year, maintaining its position from the previous month, with an average return of ***% across 11 products [10] - Super Quantum Fund, established in June 2015, has the highest returns among the new billion-yuan firms, with an average return of ***% across three products [10] - Cloudrise Quantitative leads the 50-100 billion category with a return of ***%, focusing on technology-driven and data-driven investment strategies [13] Group 5: Performance in Smaller Private Equity Categories - In the 20-50 billion category, Hanrong Investment and Xiangmu Asset achieved the top two positions, with significant performance increases noted [14] - In the 10-20 billion category, Longyin Tiger Roar, Wuliang Capital, and Yibei Investment ranked first, second, and third respectively [18] - In the 0-5 billion category, Jingying Zhito achieved a notable return of ***%, leading the segment [26][29]

Core Insights - The A-share market has entered a volatile rotation phase since October, with significant recovery in the returns of quantitative products [2] - Among the 825 quantitative long products with performance data, the average return for the year is 41.02%, with an excess return of 14.36% [3] Summary by Category Performance of Strategies - Quantitative long products have the highest average return in October among all stock strategy products, reaching 0.93% with an average excess return of 1.5% [2] - The performance of various strategies is as follows: - Quantitative long: 825 products, average return 41.02%, monthly return 0.93% [3] - Subjective long: 2156 products, average return 36.11%, monthly return -1.35% [3] - Macro strategy: 201 products, average return 27.17%, monthly return 0.96% [3] - Composite strategy: 409 products, average return 25.66%, monthly return 1.11% [3] - Other derivative strategies: 15 products, average return 25.63%, monthly return 4.45% [3] Top Performing Products - In the quantitative long category, the top products by excess return include: - CSI 1000 index enhancement: 158 products, average return 45.51%, excess return 15.48% [4] - Quantitative stock selection: 329 products, average return 39.25%, excess return 15.56% [4] - CSI 500 index enhancement: 201 products, average return 42.07%, excess return 10.96% [4] - CSI 300 index enhancement: 38 products, average return 25.62%, excess return 6.52% [4] - Other index enhancements: average return 43.55%, excess return 18.52% [4] Notable Fund Managers - The top products in the CSI 1000 index enhancement category are managed by notable fund managers from large private equity firms, with the highest returns coming from companies like Jintong Investment and Luxiu Investment [5][9] - In the quantitative stock selection category, the top products are managed by firms such as Longqi Technology and Jiuming Investment [10][12] - The CSI 500 index enhancement products are led by managers from Guobiao Asset and Zhaoxin Private Fund [13][16] - The CSI 300 index enhancement products are managed by firms like Hainan Pengpai Private Fund and Ningbo Huansquare Quantitative [17][20] - Other index enhancement products are managed by firms such as Liangchuang Investment and Yangshi Asset [21][23]