Group 1 - The core viewpoint of the article highlights the outstanding performance of the CSI 500 index since the beginning of 2026, with a rise of 15.06% as of January 23, 2026, outperforming other major indices like the CSI 300, CSI 1000, and CSI 2000 [1][2] - The article notes that the CSI 500 index's strong performance is attributed to its concentration in sectors that have performed well since 2026, including electronics, non-ferrous metals (7.148%), and defense industry (6.364%) [5] - A small number of stocks have significantly contributed to the index's gains, with the top 5 stocks contributing 1.47% and the top 10 stocks contributing 2.41%, indicating a high concentration of performance among a few stocks [6][8] Group 2 - The article discusses the challenges faced by enhanced index funds, which have collectively underperformed the CSI 500 index since 2026, with an average underperformance of 2.5% [10][11] - Active quantitative strategies have also struggled, with average underperformance reaching 3.91%, highlighting the difficulties in achieving excess returns in a strong market [12] - The article analyzes the changes in factors within the CSI 500 index, noting that many traditional factors have shown negative performance, contributing to the overall decline in excess returns [15][20] Group 3 - Historical comparisons indicate that the current market conditions represent an extreme situation for factor performance, with the article suggesting that the current environment is not solely due to a single factor's poor performance [28][29] - The article reviews past instances of similar market conditions, suggesting that extreme market behavior is unlikely to persist indefinitely, and a return to rational pricing based on factors is expected [31][45] - Future outlooks suggest that while factor reversals may not last long, adjustments to models should be cautious, as historical data indicates that significant factor failures typically do not exceed two months [46][47]

1. Report Industry Investment Rating Not provided in the content 2. Core Viewpoints of the Report - Since 2026, the CSI 500 Index has performed prominently among major broad - based indices, breaking the historical monotonicity of performance based on market - value factors. Whether this phenomenon will continue requires further observation. The concentration of hot industries and a small number of stocks contributing a large portion of the index's gains have made it difficult to outperform the index. Also, factor inefficiencies, especially the reversal of price - volume factors, have led to the underperformance of index - enhancement products and quantitative strategies [1][4]. - The current market situation is an extreme case in factor performance. Although no single factor has reached its historical worst, the combined performance of multiple factors is the worst in history. However, based on historical experience, factor logic will return as market volatility decreases, usually within two months [1][40]. - Looking ahead, the situation of factor inefficiency or reversal is not expected to last long, so major model adjustments are not advisable at present. In the long run, a detailed risk - control framework for CSI 500 index enhancement should be established, and the construction of price - volume factors should be optimized [1][70]. 3. Summary According to the Table of Contents 3.1 2026 Year - to - Date CSI 500 Index Performance Highlights - As of January 23, 2026, the CSI 500 Index has risen 15.06%, outperforming the SSE 300, CSI 1000, and CSI 2000 indices during the same period, breaking the historical monotonicity of broad - based index performance related to market - value factors [4]. - The index's strong performance is due to its concentration in sectors that have performed well in 2026, such as electronics, non - ferrous metals, and national defense and military industries. A small number of stocks have contributed significantly to the index's gains; the top 5 stocks contributed 1.47% of the increase, and the top 40 stocks contributed nearly half of the increase [7][11]. 3.2 Factor Perspective: Why Is It Difficult to Outperform the CSI 500 Index? 3.2.1 Index - Enhancement Funds Collectively Underperform the Index - All CSI 500 index - enhancement funds have underperformed the CSI 500 Index in 2026, with an average underperformance of 2.5%. The best - performing product underperformed by 0.12%, and the worst by 7.93%. Active quantitative quasi - index - enhancement products were more affected, with an average underperformance of 3.91%, the best - performing product underperforming by 2.07%, and the worst by 7.61% [13][15]. 3.2.2 Factor Changes within the CSI 500 Index - Since 2017, the market - value factors in the SSE 300, CSI 500, and CSI 1000 indices have shown continuous reversal and decline. The market - value factor in the CSI 1000 index rebounded strongly in 2021, while those in the CSI 500 and SSE 300 indices only had a weak rebound [16]. - In 2026, many factors in the CSI 500 Index showed significant anomalies. Fundamental factors such as profitability, dividend yield, and valuation were negative, and price - volume factors such as liquidity, reversal, market value, and volatility not only reversed but also had larger IC values. The short - term rapid market rise and overheated market led to the continued rise of theme stocks with fast short - term gains, high turnover, and high volatility, causing the reversal and ineffectiveness of price - volume factors [19][20]. - The long - term winning rates of factors such as valuation, momentum, reversal, market value, and liquidity are poor, around 50% or lower. In 2026, there was a concentrated reversal of price - volume factors, and the low - volatility factor, which had a high long - term winning rate, also reversed in January 2026 [26]. - The changes in the four price - volume factors (market value, reversal, low liquidity, and low volatility) generally started in the third quarter of 2025, gradually flattening or reversing. The top - performing stocks in 2026 generally ranked low in these price - volume factors, making it difficult for traditional multi - factor frameworks to select them [35]. 3.3 Historical Similar Situations Review and Future Outlook 3.3.1 The Current Market Is an Extreme Case in Factor Performance - In January 2026, no single factor reached its historical worst IC value. However, the combined performance of the four price - volume factors was the worst in history, and when considering all nine factors, it was the second - worst, only after June 2022 [39][40]. 3.3.2 Historical Similar Situations of the CSI 500 and Subsequent Developments - Similar extreme situations in factor performance have occurred in June 2018, August 2025, etc. Market fluctuations are an important factor affecting factor effectiveness. When the market fluctuates significantly, factors are likely to become ineffective, and when the market stabilizes, factor logic tends to return. Historical experience shows that factor inefficiency usually does not last more than two months [42][69]. 3.3.3 Future Outlook - The situation of factor inefficiency or reversal is not expected to last long, so major model adjustments are not recommended at present. - In the long run, a detailed risk - control framework for CSI 500 index enhancement should be established, including differential constraints on individual stocks with different excess - volatility characteristics and industry - constraint frameworks based on industry - scoring models. - The construction of price - volume factors should be optimized to improve their winning rates and reduce non - linear characteristics [70][71].

- The report primarily focuses on the performance of quantitative funds, particularly index-enhanced funds, absolute return funds, and other active quantitative funds, without detailing specific quantitative models or factor construction methodologies[2][3][4] - The performance of index-enhanced funds is highlighted, with the CSI 300 Index Enhanced Funds achieving a weekly excess return median of 0.49%, while CSI 500 Index Enhanced Funds had a negative weekly excess return median of -0.25%. CSI 1000 Index Enhanced Funds and CSI A500 Index Enhanced Funds recorded weekly excess return medians of 0.43% and 0.39%, respectively[3][4][5] - Absolute return (hedging) funds achieved a weekly return median of 0.19%, while other active quantitative funds recorded a higher weekly return median of 1.51%[8][9][10] - Other strategy funds, such as multi-factor funds, demonstrated strong performance with a weekly return median of 1.89%, while big data-driven active investment funds showed a negative weekly return median of -0.89%[15][19][20]

Report Summary 1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report The report focuses on the performance of the quantitative fund market, summarizing the performance of major indices and quantitative funds, the overall performance and distribution of different types of public - offering quantitative funds, and the better - performing quantitative funds from January 12 to January 16, 2026, for investors' reference [1]. 3. Summary by Directory 3.1 Main Index and Quantitative Fund Performance - This week (January 12 - January 16), A - shares showed mixed performance, with small - cap growth stocks leading the rise and large - cap value stocks falling. Quantitative funds recorded positive returns, and the excess returns of index - enhanced funds were divergent. Active quantitative funds rose by an average of 1.21%. The excess returns of CSI 300 Index - enhanced, CSI 500 Index - enhanced, and CSI 1000 Index - enhanced funds were 0.63%, - 0.34%, and 0.34% respectively, and the average excess return of other index - enhanced funds was 0.25%. Market - neutral funds rose by 0.16% [2][4][6]. - The weekly returns of the CSI 300, CSI 500, and CSI 1000 were - 0.57%, 2.18%, and 1.27% respectively [3][6]. 3.2 Performance of Different Types of Public - Offering Quantitative Funds - **CSI 300 Index - enhanced funds**: The weekly return was 0.06%, the excess return was 0.63%, the maximum drawdown was - 0.72%, the excess maximum drawdown was - 0.19%, and the excess return dispersion was 0.53% [14]. - **CSI 500 Index - enhanced funds**: The weekly return was 1.84%, the excess return was - 0.34%, the maximum drawdown was - 1.18%, the excess maximum drawdown was - 1.08%, and the excess return dispersion was 0.48% [14]. - **CSI 1000 Index - enhanced funds**: The weekly return was 1.61%, the excess return was 0.34%, the maximum drawdown was - 1.46%, the excess maximum drawdown was - 0.79%, and the excess return dispersion was 0.44% [15]. - **Other index - enhanced funds**: The weekly return was 1.23%, the excess return was 0.25%, the maximum drawdown was - 1.38%, the excess maximum drawdown was - 0.50%, and the excess return dispersion was 0.68% [15]. - **Active quantitative funds**: The weekly return was 1.21%, the maximum drawdown was - 1.16%, and the return dispersion was 1.61% [16]. - **Market - neutral funds**: The weekly return was 0.16%, the maximum drawdown was - 0.13%, and the return dispersion was 0.61% [16]. 3.3 Performance Distribution of Different Types of Public - Offering Quantitative Funds The report shows the performance trends of different types of public - offering quantitative funds in the past six months, as well as the performance distribution this week and in the past year. Index - enhanced funds show the performance of excess returns, but specific data is not further elaborated in the text [17]. 3.4 High - Performing Public - Offering Quantitative Funds - **CSI 300 Index - enhanced high - performing funds**: Such as E Fund CSI 300 Selected Enhanced (managed by Zhang Shengji, with a scale of 4024 million yuan, and a weekly excess return of 2.15%), and others [31]. - **CSI 500 Index - enhanced high - performing funds**: For example, Bosera CSI 500 Index - enhanced (managed by Yang Meng, with a scale of 2764 million yuan, and a weekly excess return of 0.31%) [32]. - **CSI 1000 Index - enhanced high - performing funds**: Like Huatai - Peregrine CSI 1000 Enhanced Strategy ETF (managed by Da Huang and Liu Jun, with a scale of 40 million yuan, and a weekly excess return of 1.12%) [33]. - **Other index - enhanced high - performing funds**: Such as E Fund SSE 50 Enhanced Strategy ETF (managed by Zhang Shengji, with a scale of 49 million yuan, and a weekly excess return of 2.04%) [34]. - **Active quantitative high - performing funds**: For instance, Huian Quantitative Selection (managed by Wang Minglu, with a scale of 3 million yuan, and a weekly return of 8.68%) [35]. - **Market - neutral high - performing funds**: Such as China Post Absolute Return Strategy (managed by Yao Yi and Xing Rufeng, with a scale of 48 million yuan, and a weekly return of 2.39%) [36].

- The report primarily focuses on the performance of quantitative funds, including index-enhanced funds, absolute return funds, and other active quantitative funds, with detailed statistics on their weekly, monthly, quarterly, and annual returns[2][3][4] - The report highlights the performance of index-enhanced funds, such as CSI 300, CSI 500, and CSI 1000, with their weekly excess return medians being -0.05%, -1.77%, and -0.73%, respectively[3][4][5] - For absolute return (hedged) funds, the weekly return median is -0.11%, while for other active quantitative funds, the weekly return median is 4.41%[6][7] - The report also provides detailed performance data for funds categorized by their benchmark indices, such as '000300.SH', '000905.SH', and others, with their respective weekly return medians ranging from 1.76% to 5.86%[7][8][9] - Other strategy funds, including multi-factor funds and big data-driven funds, are also analyzed, with multi-factor funds showing a weekly return median of 5.54% and big data-driven active funds achieving a weekly return median of 8.19%[15][18][19]

Group 1 - The core viewpoint of the report highlights the increasing difficulty in achieving excess returns from the CSI 500 index enhancement strategies, which have declined to levels comparable to the CSI 300 index since 2021 [1][15] - The report discusses the changes in the CSI 500 index, noting a rise in weight concentration and a decrease in error tolerance, which has made stock selection significantly more challenging [1][16] - The report identifies a decline in the effectiveness of various traditional factors within the CSI 500 stock pool, indicating a weakening of factor regularities and a reduction in the guiding significance of the 12-month ICIR for factor selection [1][24][30] Group 2 - The report proposes five improvement directions for enhancing the CSI 500 index, including stricter individual stock weight deviation limits, moderate relaxation of industry deviations, adjustments to factor exposure rules, changes in factor effectiveness judgment standards, and attempts to use certain factors in both directions [1][31] - The first improvement involves implementing stricter limits on individual stock weight deviations to mitigate the impact of increased concentration in top stocks, which has shown to improve excess returns and reduce maximum drawdown [1][34] - The second improvement suggests a moderate relaxation of industry deviation limits to enhance returns, particularly in a market characterized by high industry dispersion and frequent hot sectors [1][38] Group 3 - The report emphasizes the need to adjust factor exposure rules due to the limited effectiveness of existing factors, proposing two methods to restrict exposure based on the historical performance of factors [1][52] - The first method involves uniformly limiting exposure to 0.2 times the standard deviation for certain factors, while the second method adjusts limits based on the IC win rate of factors over the past two years [1][53] - The adjustments have shown to improve the information ratio of the enhanced portfolio, indicating a more stable performance despite some reduction in excess return elasticity [1][53]

Group 1 - The core point of the news is the appointment of Zhang Tao as the new chairman of Zhongyou Fund, effective December 16, following the retirement of the previous chairman, Bi Jinsong [1][4] - Zhongyou Fund was established in May 2006 and is backed by major shareholders including Shouchuang Securities, China Post Group, and Sumitomo Mitsui Banking Corporation [2][7] - As of the end of Q3 this year, Zhongyou Fund's public fund management scale reached 75.772 billion yuan, indicating a growth trend over the past year, although it remains classified as a small to medium-sized public fund [2][8] Group 2 - Prior to the changes at Zhongyou Fund, its major shareholder, Shouchuang Securities, also underwent personnel changes, appointing Zhang Tao as chairman and Jiang Qingfeng as general manager [4] - Zhang Tao has extensive experience in the securities and financial management sectors, having held significant positions in various financial institutions, including Shouchuang Securities [5][6] - Zhongyou Fund's current focus has shifted towards "fixed income plus" strategies, with a notable emphasis on mixed funds, which account for the majority of its offerings [8]

Quantitative Models and Factor Analysis Quantitative Models and Construction - **Model Name**: Multi-factor Stock Selection Model **Construction Idea**: The model selects effective factors from a factor library to construct weekly enhanced index strategies for different stock pools (CSI 300, CSI 500, CSI 1000, CSI 2000) [68] **Construction Process**: 1. **Factor Selection**: Hundreds of factors from the equity factor library are screened for effectiveness in the respective stock pools [68] 2. **Portfolio Optimization**: - For CSI 300: Strictly neutralize market capitalization and industry, set individual stock weight limits at 8% and deviation limits at 3% [68] - For CSI 500: Strictly neutralize market capitalization and industry, set individual stock weight limits and deviation limits at 1% [68] - For CSI 1000: Control market capitalization deviation to 0.5 standard deviations, industry deviation to 2.5%, and set individual stock weight limits and deviation limits at 1% [68] - For CSI 2000: Control market capitalization deviation to 0.5 standard deviations, industry deviation to 2.5%, and set individual stock weight limits and deviation limits at 0.5% [68] 3. **Weekly Tracking**: The performance of the enhanced index strategies is tracked weekly [68] Model Backtesting Results - **CSI 300 Enhanced Strategy**: - Weekly return: 0.63%, excess return: 0.71% [69] - Monthly return: 2.02%, excess return: 0.82% [69] - Annual return: 24.02%, excess return: 7.6%, maximum drawdown: -3.15% [69] - **CSI 500 Enhanced Strategy**: - Weekly return: 1%, excess return: -0.02% [69] - Monthly return: 2.55%, excess return: 0.58% [69] - Annual return: 26.41%, excess return: 1.19%, maximum drawdown: -4.76% [69] - **CSI 1000 Enhanced Strategy**: - Weekly return: -0.64%, excess return: -1.03% [73] - Monthly return: 0.92%, excess return: 0.42% [73] - Annual return: 36.94%, excess return: 13.22%, maximum drawdown: -5.59% [73] - **CSI 2000 Enhanced Strategy**: - Weekly return: -0.62%, excess return: -0.67% [73] - Monthly return: -0.25%, excess return: -0.58% [73] - Annual return: 59.24%, excess return: 27.14%, maximum drawdown: -5.23% [73] --- Quantitative Factors and Construction - **Factor Name**: Standardized Unexpected Price-to-Book Ratio **Construction Idea**: Measures the deviation of the price-to-book ratio from expectations, reflecting valuation anomalies [34] **Construction Process**: 1. Calculate the raw factor value for each stock [34] 2. Apply absolute median method for outlier removal [34] 3. Perform Z-Score standardization [34] 4. Neutralize the factor by regressing against logarithmic market capitalization and industry dummy variables, using the residuals as the final factor values [34] - **Factor Name**: Analyst Forecast Net Profit FY1 120-day Change **Construction Idea**: Tracks changes in analysts' net profit forecasts over the past 120 days, reflecting market sentiment and expectations [35] **Construction Process**: 1. Collect analysts' net profit forecasts for FY1 over the past 120 days [35] 2. Calculate the percentage change in forecasts over the period [35] - **Factor Name**: Analyst Forecast Revenue Growth Rate FY3 **Construction Idea**: Measures analysts' expectations for revenue growth in FY3, capturing long-term growth potential [37] **Construction Process**: 1. Aggregate analysts' revenue growth forecasts for FY3 [37] 2. Standardize the data and calculate the growth rate [37] Factor Backtesting Results - **CSI 300 Stock Pool**: - Best weekly factors: Standardized Unexpected Price-to-Book Ratio (1.97%), Analyst Forecast Net Profit FY1 120-day Change (1.67%), Past 90-day Report Upgrade Ratio (1.39%) [35] - Best annual factors: Single-quarter ROE (25.63%), Single-quarter Revenue YoY Growth Rate (25.1%), Single-quarter ROA Change (22.51%) [35] - **CSI 500 Stock Pool**: - Best weekly factors: Net Operating Asset Return (1.5%), Past 90-day Post-announcement Report Upgrade Ratio (1.16%), Analyst Forecast Net Profit FY3 120-day Change (1.11%) [36] - Best annual factors: Analyst Forecast Net Profit Growth Rate FY3 (15.13%), Analyst Forecast Revenue FY3 120-day Change (14.74%), Analyst Forecast Revenue Growth Rate FY3 (14.74%) [36] - **CSI 1000 Stock Pool**: - Best weekly factors: Analyst Forecast Revenue Growth Rate FY3 (1.82%), Analyst Forecast Revenue FY3 120-day Change (1.76%), 90-day Earnings Upgrade Ratio (1.7%) [37] - Best annual factors: Analyst Forecast ROE FY3 120-day Change (21.77%), Standardized Unexpected Single-quarter ROE with Drift (20.54%), Standardized Unexpected Single-quarter Net Profit with Drift (20.32%) [37] - **CSI 2000 Stock Pool**: - Best weekly factors: Analyst Forecast Revenue Growth Rate FY3 (2.24%), Analyst Forecast Net Profit Growth Rate FY3 (2.15%), Post-morning 30-minute Price Change (1.92%) [38] - Best annual factors: Standardized Unexpected Single-quarter Excluding Non-recurring Net Profit with Drift (25.17%), Past 90-day Report Upgrade Ratio (24.28%), 5-minute Volume Skewness (23.98%) [38] - **CSI All-share Stock Pool**: - Best weekly factors: Analyst Forecast ROE FY3 120-day Change (2.5%), Analyst Forecast ROA FY3 (2.36%), Analyst ROE FY3 (2.27%) [39] - Best annual factors: Analyst Forecast ROE FY3 120-day Change (27.33%), Single-quarter Revenue YoY Growth Rate (21.77%), Analyst Forecast ROA FY3 120-day Change (21.27%) [39] --- Large Factor Categories and Performance - **CSI 300 Stock Pool**: - Best weekly categories: Analyst Surprise (1.57%), Profitability (1.45%), Growth (1.22%) [45][46] - Best annual categories: Profitability (31.35%), Analyst Surprise (27.31%), Growth (26.87%) [45][46] - **CSI 500 Stock Pool**: - Best weekly categories: Profitability (1.6%), Growth (0.39%), Analyst (0.01%) [52][53] - Best annual categories: Growth (16.53%), Analyst (9.54%), Analyst Surprise (7.35%) [52][53] - **CSI 1000 Stock Pool**: - Best weekly categories: Profitability (0.05%), Growth (0.03%), Analyst (-0.06%) [54][57] - Best annual categories: Growth (17.31%), Analyst Surprise (11.02%), Analyst (10.98%) [54][57] - **CSI 2000 Stock Pool**: - Best weekly categories: Analyst (0.46%), Profitability (-0.58%), Growth (-0.61%) [60][62] - Best annual categories: Market Capitalization (23.11%), Analyst Surprise (20.67%), Growth (20.33%) [60][62] - **CSI All-share Stock Pool**: - Best weekly categories: Analyst (0.32%), Analyst Surprise (0.19%), Profitability (-0.14%) [63][65] - Best annual categories: Market Capitalization (42.55%), Growth (24.85%), Analyst Surprise (22.12%) [63][65]

Group 1 - The report indicates that the performance of major public index enhancement funds has been tracked weekly, focusing on the returns of the funds against their respective benchmarks, including CSI 300, CSI 500, CSI 1000, and National Index 2000 [7][8]. - As of September 12, 2025, the CSI 300 enhancement funds have 53 products with a total scale of 77.3 billion, while the CSI 500 enhancement funds have 66 products with a scale of 43.7 billion [8][9]. - The report highlights that the CSI 2000 enhancement strategy has achieved a year-to-date excess return of 21.18%, indicating strong performance compared to its benchmark [1][4]. Group 2 - The report details the top-performing CSI 300 enhancement funds for the year, with the top five funds achieving returns of 28.33%, 27.65%, 23.15%, 22.67%, and 21.93%, respectively, with corresponding excess returns of 13.41%, 12.73%, 8.23%, 7.75%, and 7.01% [9][11]. - For the CSI 500 enhancement funds, the top five funds have returns of 35.46%, 35.31%, 35.02%, 34.39%, and 32.41%, with excess returns of 10.62%, 10.47%, 10.19%, 9.56%, and 7.58% [15][19]. - The CSI 1000 enhancement funds show similar strong performance, with the top five funds achieving returns of 40.4%, 39.68%, 39.21%, 38.57%, and 38.44%, with excess returns of 15.81%, 15.08%, 14.62%, 13.98%, and 13.85% [21][25]. Group 3 - The report emphasizes the performance of the National Index 2000 enhancement funds, with the top five funds achieving returns of 45.03%, 44.3%, 43.56%, 37.72%, and 35.56%, with excess returns of 16.01%, 15.28%, 14.54%, 8.7%, and 6.54% [29][30]. - The report also tracks the performance of various factors used in quantitative stock selection models, highlighting the effectiveness of different factors across various stock pools [34][37]. - The report provides insights into the excess returns of single factors, indicating that certain factors have performed better over different time frames, which can guide investment strategies [38][39].

Core Viewpoint - BlackRock's Systematic Active Equity (SAE) strategy is increasingly playing a significant role in local investments in China, leveraging advanced data analysis techniques to enhance investment decision-making and performance [1][2]. Group 1: SAE Strategy Overview - As of June 2025, BlackRock's assets under management reached $12.5 trillion, making it one of the largest asset management companies globally [1]. - The SAE strategy utilizes machine learning and natural language processing to capture valuable investment signals, having evolved to its sixth generation language model with $336 billion in assets under management [1]. - The performance of BlackRock's funds utilizing the SAE strategy, such as the CSI 300 Index Enhanced A and the CSI 500 Index Enhanced A, has shown impressive net value growth rates of 18.35% and 18.02% respectively since their inception [1]. Group 2: Implementation and Team Structure - BlackRock plans to fully integrate the SAE strategy into its active equity investments, utilizing over 1,000 proprietary signals and alternative databases to enhance investment breadth and success rates [2]. - The SAE investment team consists of over 120 members with diverse backgrounds in fields such as accounting, engineering, economics, computer science, finance, and physics, including experience from tech companies and NASA [2]. Group 3: Local Adaptation and Machine Learning - The SAE strategy is being localized by deploying global models on China's vast data sets, continuously optimizing the approach based on local market conditions [3]. - The weight of machine learning signals in the SAE model has increased from 15% in 2019 to 30% currently, with expectations for further growth [3]. - The Augmented Investment Management (AIM) system dynamically adjusts and optimizes signal weights based on historical market conditions and fund performance, ensuring adaptability to market changes [3]. Group 4: Investment Strategy and Risk Management - The combination of AI-driven signals and the AIM tool enhances the intelligence, speed, and precision of investment processes [4]. - The SAE strategy focuses on individual stock selection while minimizing exposure to industry and style factors, allowing for a more stable alpha generation across hundreds of stocks [4]. - The systematic strategy aims to maximize excess returns while maintaining control over overall portfolio volatility, drawdown, and active risk [4].