金工量化周报 ETF 轮动策略 YTD 收益率 21.33% ——ETF 市场扫描与策略跟踪（2026.03.01） 核心结论 摘要内容 全球市场概况：上周， A 股市场整体上涨，其中，中证 1000 指数涨幅最大， 为 4.34%；港股市场有所上涨，恒生指数上涨 0.82%。涨幅居前的 ETF 跟 踪标的多为上游板块指数。 ETF 新发情况：上周内地市场上报股票 ETF 16 只；新成立股票 ETF 1 只。 美国市场上周新成立权益型 ETF 12 只，均为主动 ETF。 A 股 ETF 资金流向：上周，净流入排名前 10 的多为行业主题 ETF；净流出 前 10 的多为宽基指数 ETF。宽基 ETF 中，跟踪价值 100 指数的 ETF 净流 入居前，跟踪中证 1000 指数的 ETF 净流出居前；行业 ETF 中，新能源板 块 ETF 净流入居前；主题 ETF 中，港股通科技 ETF 基金（159101）净流 入居前，成渝经济圈 ETF 博时（159623）净流出居前；主动 ETF 中，中证 2000增强ETF招商净流入居前，中证1000增强ETF鹏华净流出居前；Smart Beta ETF 中，红利低 ...

Group 1: ETF Market Overview - As of February 6, 2026, there are 1,439 ETFs in the Shanghai and Shenzhen markets, with a total asset management scale of 53,280.88 billion [2] - The breakdown includes 1,116 stock ETFs (31,401.67 billion), 53 bond ETFs (7,213.28 billion), 27 money market ETFs (1,615.16 billion), 17 commodity ETFs (3,225.87 billion), 211 cross-border ETFs (9,760.39 billion), and 15 unlisted ETFs (64.51 billion) [2] - In the week from February 2 to February 6, 2026, 10 new stock ETFs were listed, including two photovoltaic ETFs and eight others, with a total issuance scale of 36.04 billion [3] Group 2: ETF Performance Analysis - The median weekly return for stock ETFs was -1.63%, with the Sci-Tech Innovation Board New Energy ETF showing the highest increase of 4.09%, while the Gold Stock ETF had the largest decline of 13.25% [4] - The median weekly return for bond ETFs was 0.06%, with the 30-year Treasury ETF increasing by 0.93% and the convertible bond ETF decreasing by 0.30% [4] - The median weekly return for cross-border ETFs was -2.39%, with the Hang Seng Consumer ETF showing the highest increase of 4.81%, while the Brazil ETF had the largest decline of 11.63% [4] Group 3: PB-ROE Framework and Strategy - The PB-ROE framework categorizes industries into six quadrants, focusing on high PB high ROE industries and low PB medium ROE industries for investment opportunities [5] - Backtesting from 2017 to February 2024 shows that only the third and fifth quadrants achieved excess returns, with annualized excess returns of 4.27% and 1.55%, respectively [5] - A combined strategy from both quadrants resulted in an annualized return of 11.93% and an annualized excess return of 13.22% [6] Group 4: Investment Recommendations - The report recommends focusing on the industries of non-ferrous metals, transportation, and public utilities, with corresponding ETFs for each sector [8] - Additionally, it suggests monitoring non-ferrous metals ETF, chemical ETF, software ETF, food and beverage ETF, and photovoltaic 50 ETF for the upcoming week [8]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints - The report analyzes the market and ETF performance in the past week, and recommends industries and ETFs to focus on next week based on the PB - ROE framework and the ETF redemption sentiment indicator model [8][36] 3. Summary by Directory 3.1 Recent Market Overview (January 19 - 23, 2026) - Among the 31 Shenwan primary industries, 24 rose and 7 fell. The top three gainers were building materials (up 9.23%), petroleum and petrochemicals (up 7.71%), and steel (up 7.31%); the top three losers were banks (down 2.70%), communications (down 2.12%), and non - bank finance (down 1.45%) [4][11] - The Shanghai Composite Index closed at 4136.16, up 0.84% for the week; the Shenzhen Component Index closed at 14439.66, up 1.11% for the week; the ChiNext Index closed at 3349.50, down 0.34% for the week; the Beixin 50 Index closed at 1588.66, up 2.60% for the week; the Hang Seng Index closed at 26749.51, down 0.36% for the week. The average daily trading volume of the Shanghai and Shenzhen stock markets was 27727.12 billion yuan, and the total trading volume for the week was 13.86 trillion yuan [11] - Main funds had net outflows on 4 trading days and net inflows on 1 trading day, with a total net outflow of 125.207 billion yuan for the week. The industries with more net inflows of main funds were banks, non - bank finance, and non - ferrous metals; the industries with more net outflows were electronics, communications, and computers [4][11] 3.2 Recent ETF Market Performance (January 19 - 23, 2026) 3.2.1 Stock - type ETFs - 8 new stock - type ETFs were listed, including 2 battery ETFs and 6 other stock - type ETFs. 9 new ETFs were established, including 2 Shanghai - STAR Market chip ETFs and 7 other ETFs, with a total issuance scale of 4.416 billion yuan [5][18] - The median weekly increase or decrease of stock - type ETFs was 0.88%. Gold stock ETFs and photovoltaic leading ETFs performed well, with gold stock ETFs rising the most (13.17%); science and innovation semiconductor ETFs and financial real - estate ETFs performed poorly, with science and innovation semiconductor ETFs falling the most (3.86%) [5][21] - The average weekly share change of stock - type ETFs was a decrease of 51.8174 million shares. Chemical ETFs and power grid equipment ETFs had more share increases, with chemical ETFs increasing the most (6.316 billion shares); CSI 300ETF and SSE 50ETF had more share decreases, with Huatai - Ber瑞 CSI 300ETF decreasing the most (15.345 billion shares) [21] 3.2.2 Bond - type ETFs - The median weekly increase or decrease of 53 bond - type ETFs was 0.11%. Convertible bond ETFs had the highest increase (2.94%), and treasury bond ETFs had the lowest increase (0.01%). As of January 23, 2026, the scale of Haifutong CSI Short - term Financing ETF (511360.SH) was the largest, at 70.223 billion yuan [24] 3.2.3 Cross - border ETFs - The median weekly increase or decrease of cross - border ETFs was - 0.66%. The Brazilian ETF and the S&P Biotechnology ETF had high increases or decreases, with the Brazilian ETF rising the most (7.63%); the Hong Kong Stock Connect Innovative Drug ETF and the Hong Kong Innovative Drug ETF had low increases or decreases, with the Hong Kong Stock Connect Innovative Drug ETF falling the most (3.94%) [26] - Since the beginning of the year, the median increase or decrease of cross - border ETFs has been 3.84%. The China - South Korea Semiconductor ETF and the Hong Kong Medical ETF had high increases, with the China - South Korea Semiconductor ETF rising 23.87%; the Nasdaq ETF and the Nasdaq Technology ETF had high decreases, with the Nasdaq Technology ETF falling 2.79% [26] 3.3 PB - ROE Framework - based ETF Rotation Strategy Tracking - The strategy focuses on the communications, agriculture, forestry, animal husbandry, and fishery, and transportation industries, corresponding to their respective industry ETFs. This week, the strategy's cumulative return was 1.29%, the CSI 300 Index's cumulative return was - 0.62%, and the strategy's cumulative excess return relative to the CSI 300 Index was 1.91% [7][31] - Since 2023, the strategy's cumulative return has been 27.65%, the CSI 300's cumulative return has been 21.46%, and the strategy's cumulative excess return relative to the CSI 300 Index has been 6.19% [7][33] - Since 2022, the strategy's cumulative return has been 9.16%, the CSI 300's cumulative return has been - 4.81%, and the strategy's cumulative excess return relative to the CSI 300 Index has been 13.98% [35] 3.4 Investment Recommendations - Based on industry PB - ROE and supplementary indicators, the PB - ROE framework - based ETF rotation strategy recommends focusing on the communications, agriculture, forestry, animal husbandry, and fishery, and transportation industries next week, corresponding to their respective industry ETFs [8][36] - According to the ETF redemption sentiment indicator model, it is recommended to focus on breeding ETFs, satellite ETFs, pharmaceutical ETFs, securities ETFs, and science and innovation AI ETFs next week [8][36]

Report Industry Investment Rating No relevant content provided. Core Views - PB-ROE framework's ETF rotation strategy recommends next week to focus on the communication, agriculture, forestry, animal husbandry, and transportation industries, corresponding to their industry ETFs; the ETF redemption sentiment indicator model suggests focusing on the Science and Technology Innovation 50 ETF, SSE 50 ETF, Medical ETF, Photovoltaic ETF, and Robot ETF [9][40] - Combining PB and ROE for industry configuration may be a better choice; the third quadrant's high PB high ROE and the fifth quadrant's low PB medium ROE are key focus areas; combining the third and fifth quadrants to construct a comprehensive PB-ROE strategy has an annualized return of 11.93% and an annualized excess return of 13.22% [32][33] Summary by Directory 1. Recent Market Overview (January 12 - January 16, 2026) - Index performance: Shanghai Composite Index closed at 4101.91, down 0.45% for the week; Shenzhen Component Index closed at 14281.08, up 1.14%; ChiNext Index closed at 3361.02, up 1.00%; Beijing Stock Exchange 50 closed at 1548.33, up 1.58%; Hang Seng Index closed at 26844.96, up 2.34%. The average daily trading volume of the Shanghai and Shenzhen stock markets was 34250.96 billion yuan, and the total trading volume for the week was 17.13 trillion yuan [12] - Industry performance: Among 31 Shenwan primary industries, 13 industries rose and 18 fell. The top three gainers were computer (up 3.82%), electronics (up 3.77%), and non-ferrous metals (up 3.03%); the top three losers were national defense and military industry (down 4.92%), real estate (down 3.52%), and agriculture, forestry, animal husbandry, and fishery (down 3.27%) [5][12] - Main funds: Main funds had net outflows for 5 trading days and no net inflows, with a total net outflow of 2752.39 billion yuan for the week. The industries with more net inflows were banks, public utilities, and coal; the industries with more net outflows were national defense and military industry, power equipment, and computer [5][13] 2. Recent ETF Market Performance (January 12 - January 16, 2026) - Overall situation: As of January 16, 2026, there were 1411 ETFs in the Shanghai and Shenzhen stock markets, with a total asset management scale of 60766.01 billion yuan. There were 1101 equity ETFs (38892.41 billion yuan), 53 bond ETFs (7479.66 billion yuan), 27 money market ETFs (1529.88 billion yuan), 17 commodity ETFs (2751.84 billion yuan), 207 cross-border ETFs (10070.46 billion yuan), and 6 unlisted ETFs (41.76 billion yuan) [20] - Newly listed and established ETFs: 8 ETFs were newly listed, all equity ETFs; 7 ETFs were newly established, with a total issuance scale of 51.24 billion yuan [21] - Equity ETFs: The median weekly increase or decrease was 0.59%. Science and technology semiconductor ETFs and semiconductor equipment ETFs performed well, with the Science and Technology Semiconductor ETF Peng Hua rising the most at 12.46%; aerospace and high-end equipment ETFs performed poorly, with the Aerospace ETF falling the most at 6.88%. The average weekly share change was a decrease of 19.4716 million shares. Software ETFs and media ETFs had more share increases, while the Science and Technology Innovation 50 ETF and CSI 300 ETF had more share decreases [24] - Bond ETFs: The median weekly increase or decrease of 53 bond ETFs was 0.12%. The convertible bond ETF had the highest increase of 0.91%, while the science and technology innovation bond ETF had the highest decrease of 0.00%. As of January 16, 2026, the Haifutong CSI Short-term Financing ETF had the largest scale of 631.50 billion yuan [27] - Cross-border ETFs: The median weekly increase or decrease was 1.18%. The China-South Korea Semiconductor ETF and Hong Kong Stock Connect Internet ETF had the highest increases, with the China-South Korea Semiconductor ETF rising 6.11%; the Hong Kong Securities ETF and Nasdaq Biotechnology ETF had the highest decreases, with the Hong Kong Securities ETF falling 2.28%. Since the beginning of the year, the median increase or decrease was 3.82%, with the China-South Korea Semiconductor ETF and Hong Kong Medical ETF having higher increases, and the Nasdaq ETF and Nasdaq Technology ETF having higher decreases [29] 3. PB-ROE Framework's ETF Rotation Strategy Tracking - Factor effectiveness: PB factor and PB quantile factor show certain stratification ability, and PB quantile factor is more effective; ROE factor's effectiveness declined after 2018; using ROE factor is better than ROE quantile factor; expected ROE factor is better than expected ROE year-on-year factor. Combining PB and ROE for industry configuration may be a better choice [32] - Key quadrants: The third quadrant's high PB high ROE and the fifth quadrant's low PB medium ROE are key focus areas. From 2017 to February 2024, the compound annualized excess returns of the third and fifth quadrant portfolios were 4.27% and 1.55% respectively [32] - Strategy improvement: After supplementing the PB-ROE framework with four dimensions, the annualized excess returns of the third and fifth quadrant strategies were 4.78% and 3.94% respectively. Combining the two strategies, the annualized return was 11.93% and the annualized excess return was 13.22% [33] - Recent performance: This week, the strategy focused on the communication, agriculture, forestry, animal husbandry, and transportation industries, with a cumulative return of -0.86%, and an excess return of -0.29% compared to the CSI 300 Index [8][34] - Performance since 2023: The cumulative return was 26.03%, with an excess return of 3.81% compared to the CSI 300 Index [8][36] - Performance since 2022: The cumulative return was 7.77%, with an excess return of 11.99% compared to the CSI 300 Index [39] 4. Investment Recommendations - PB-ROE framework: Focus on the communication, agriculture, forestry, animal husbandry, and transportation industries next week, corresponding to their industry ETFs [9][40] - ETF redemption sentiment indicator model: Focus on the Science and Technology Innovation 50 ETF, SSE 50 ETF, Medical ETF, Photovoltaic ETF, and Robot ETF next week [9][40]

Market Overview - In the week from January 5 to January 9, 2026, 30 out of 31 industries in the Shenwan first-level industry index rose, with the comprehensive sector leading at a 14.55% increase, followed by defense and military at 13.63% and media at 13.10%. The only sector that declined was banking, which fell by 1.90% [10][11] - The Shanghai Composite Index closed at 4120.43, up 3.82%, while the Shenzhen Component Index rose 4.40% to 14120.15. The average daily trading volume in the Shanghai and Shenzhen markets was 28259.76 billion, totaling 14.13 trillion for the week [10][11] ETF Market Performance - A total of 10 new stock ETFs were listed during the week, including two AI ETFs focused on innovation and entrepreneurship, with a total issuance scale of 4.83 billion [19][21] - The median weekly return for stock ETFs was 4.30%, with the satellite ETF from E Fund showing the highest increase at 22.46%. Conversely, the banking ETF experienced the largest decline at 2.00% [22][23] - The median weekly return for bond ETFs was -0.03%, with convertible bond ETFs performing the best, rising by 4.47% [25][26] - The median return for cross-border ETFs was 2.34%, with the Sino-Korean semiconductor ETF leading at a 15.52% increase [27][28] ETF Strategy Tracking - The PB-ROE framework identified communication, agriculture, forestry, animal husbandry, and transportation as key sectors for the week, with a cumulative strategy return of 1.31%, underperforming the CSI 300 index by 1.47% [6][32] - Since the beginning of 2023, the strategy has achieved a cumulative return of 27.12%, outperforming the CSI 300 index by 4.20% [34] Investment Recommendations - The report recommends focusing on the communication, agriculture, forestry, and transportation sectors for the upcoming week, along with ETFs corresponding to these industries. Additionally, it suggests monitoring wine ETFs, ChiNext 50 ETFs, medical ETFs, chip ETFs, and robot ETFs based on ETF subscription sentiment indicators [7][39]

- The report discusses the "Three-Dimensional Timing Framework" which includes liquidity, divergence, and prosperity as key factors for market timing[8][12][13] - The "ETF Hot Trend Strategy" is constructed by selecting ETFs with both highest and lowest prices in an upward trend, and further selecting those with the highest turnover rate in the past 5 days relative to the past 20 days to form a risk parity portfolio[29] - The "Three-Strategy Fusion" combines industry rotation strategies based on fundamental rotation, quality low volatility, and distressed reversal to achieve factor and style complementarity, reducing the risk of a single strategy[32][33][34] Model Backtesting Results - The "ETF Hot Trend Strategy" achieved a return of 43.6% year-to-date, with an excess return of 22.4% compared to the CSI 300 Index[29] - The "Three-Strategy Fusion" ETF rotation strategy had a return of 12.18% and a Sharpe ratio of 0.74 as of December 31, 2025, with a year-to-date return of 27.29%[37][38] Factor Construction and Performance - The "Beta Factor" recorded a positive return of 1.47% for the week, indicating a preference for high-beta stocks[50] - The "Growth Factor" recorded a positive return of 0.26% for the week, reflecting market attention to high-growth stocks[50] - The "Liquidity Factor" recorded a positive return of 0.16% for the week, indicating market preference for highly liquid stocks[50] Alpha Factor Performance - The "3-Month Average Trading Volume" factor showed the best performance with an excess return of 0.68% for the week[54][56] - The "3-Month Trading Volume Standard Deviation" factor also performed well with an excess return of 0.65% for the week[54][56] - In large-cap indices, the "Single Quarter ROA YoY Change" factor had an excess return of 28.46% in the CSI 300 Index[57][58] - In small-cap indices, the "Consensus Earnings Change (FY1)" factor had an excess return of 21.95% in the CSI 800 Index[57][58] Multi-Style Enhanced Strategy - The "Dividend Enhancement Strategy" performed well with an excess return of 0.68% for the week and an annualized excess return of 14.44% year-to-date[62][63]

Report Information - Report Title: Fund Market Tracking and ETF Strategy Allocation Monthly Report [2] - Report Date: January 3, 2026 [1] - Analyst: Li Zhengwei [6] 1. Report Industry Investment Rating No industry investment rating information was provided in the report 2. Report Core Views - As of December 31, 2025, the number and total net asset value of funds in the market continued to rise and the growth - oriented funds outperformed the value - oriented funds in December 2025 [4][11] - The scale of the ETF market also expanded in December 2025, with stock - type ETFs having a relatively high overall return rate and cross - border ETFs performing the worst [6][31] - Two ETF rotation strategies were introduced, and both strategies had certain cumulative excess returns since 2023 [8] - Investment suggestions were made for January 2026, recommending specific industries and corresponding ETFs for different strategies [9] 3. Summary by Directory 3.1 Fund Market Tracking - **Market Overview**: As of December 31, 2025, there were 13,617 funds in the market, an increase of 142 from the end of the previous month. The total net asset value of funds was 36.32 trillion yuan, an increase of 315.115 billion yuan. Stock - type funds increased the most in number and scale in December [11][15] - **Fund Performance**: From December 1 to 31, 2025, the growth fund index, balance fund index, and value fund index had returns of 3.69%, 2.71%, and 1.14% respectively. The growth - type fund outperformed the value - type fund. The median return of all funds in December was 0.53%, and the proportion of funds with positive returns was 79.33%. Yongying High - end Equipment Selection A had the highest increase in December, and Yongying Technology Selection A had the highest increase since the beginning of the year [17][22] 3.2 ETF Market Tracking - **ETF Market Composition**: As of December 31, 2025, there were 1,401 ETFs in the Shanghai and Shenzhen stock markets, an increase of 32 from the previous period. The total asset management scale was 6.02 trillion yuan, an increase of 329.581 billion yuan, and the total share was 3.37 trillion shares, an increase of 132.247 billion shares [24] - **ETF New Products**: In December 2025, 18 ETFs were newly listed, including 5 science - innovation and entrepreneurship artificial intelligence ETFs and 13 other stock - type ETFs. 32 ETFs were newly established, with a total issuance scale of 12.536 billion yuan [26] - **ETF Product Classification Performance**: In December, stock - type ETFs had a relatively high overall return rate with a median return of 3.34%, while cross - border ETFs had the worst performance with a median return of - 3.50%. Stock - type ETFs also had the highest internal deviation in December [31] 3.3 ETF Strategy Tracking - **Based on Main Funds' Industry ETF Rotation**: The strategy focused on the banking, food and beverage, and petroleum and petrochemical industries in December 2025. In December 2025, the cumulative return of the strategy was - 1.70%, and the cumulative excess return relative to the CSI 300 index was - 3.98%. Since 2023, the cumulative return of the strategy was 48.47%, and the cumulative excess return relative to the CSI 300 index was 28.88% [8] - **PB - ROE Framework - based Industry ETF Rotation**: The strategy focused on the automobile, beauty care, and agriculture, forestry, animal husbandry and fishery industries in December 2025. In December 2025, the cumulative return of the strategy was - 1.23%, and the cumulative excess return relative to the CSI 300 index was - 3.51%. Since 2023, the cumulative return of the strategy was 25.47%, and the cumulative excess return relative to the CSI 300 index was 5.89% [8] 3.4 Investment Suggestions - For the industry preferences of main funds, in January 2026, the non - ferrous metals, non - banking finance, and steel industries were favored, and the corresponding ETFs were their industry ETFs [9] - According to the industry PB - ROE situation and supplementary indicators, the PB - ROE framework - based ETF rotation strategy recommended paying attention to the communication, agriculture, forestry, animal husbandry and fishery, and transportation industries in January, and the corresponding ETFs were their industry ETFs [9]

Global and A-share Market Overview - The A-share market experienced an overall increase last week, with the CSI 500 index showing the largest gain of 4.03% [12] - The Hang Seng Index in the Hong Kong market rose by 0.50% [12] - The performance of ETFs tracking the new energy sector was notably strong [12] ETF New Issuance Statistics - A total of 18 stock ETFs were reported in the A-share market last week, with 8 new stock ETFs established [17][19] - In the US market, 5 equity ETFs were newly established, including 2 active ETFs [17][23] Fund Flow in A-share Market - The top 10 ETFs with net inflows were primarily those tracking the CSI A500 index, while the top 10 with net outflows included ETFs related to the CSI 300 index, military industry, and TMT sectors [2][24] - The CSI A500 ETF saw a net inflow of approximately 106.75 million yuan, making it the leading ETF in terms of net inflow [28] - Conversely, the CSI 300 ETF experienced a net outflow of 34.08 million yuan [25] Fund Flow in US Market - In the US market, resource management-themed ETFs had the highest net inflows, while multi-tech themed ETFs saw the largest net outflows [3] - A total net outflow of 1.10 million USD was recorded for ETFs investing in A-shares and Hong Kong stocks [3] ETF Strategy Performance - The RRG ETF rotation strategy yielded a return of 3.84%, outperforming the CSI Equal Weight and CSI 300 indices by 1.66% and 1.89% respectively [4] - The 50% base + intraday momentum strategy showed varying returns across different ETFs, with the CSI 1000 ETF achieving a return of 2.05% [4]

Group 1: ETF Market Overview - As of December 12, 2025, there are 1,379 ETFs in the Shanghai and Shenzhen markets, with a total asset management scale of 57,806.33 billion yuan [2] - The breakdown of ETFs includes 1,073 equity ETFs (36,774.09 billion yuan), 53 bond ETFs (7,222.06 billion yuan), 27 money market ETFs (1,895.76 billion yuan), 17 commodity ETFs (2,436.83 billion yuan), 200 cross-border ETFs (9,430.76 billion yuan), and 9 unlisted ETFs (46.83 billion yuan) [2] Group 2: Recent ETF Listings and Performance - Four new equity ETFs were listed from December 8 to December 12, 2025, including two AI-focused ETFs and two others related to banking and technology [3] - The total issuance scale of newly established ETFs during the same period was 2.901 billion yuan [3] - The median weekly return for equity ETFs was 0.10%, with the communication equipment ETF showing the highest increase of 7.30%, while the coal and energy ETFs experienced declines of 3.98% [4] Group 3: PB-ROE Framework and Strategy - The PB-ROE framework categorizes industries into six quadrants, focusing on high PB and high ROE industries in the third quadrant and low PB and medium ROE industries in the fifth quadrant as key areas of interest [5] - Backtesting results from 2017 to February 2024 indicate that only the third and fifth quadrants achieved excess returns, with annualized excess returns of 4.27% and 1.55%, respectively [5] - A combined ETF rotation strategy based on the PB-ROE framework yielded an annualized return of 11.93% and an annualized excess return of 13.22% [6] Group 4: Investment Recommendations - The report recommends focusing on the automotive, beauty care, and agriculture sectors, with corresponding ETFs for each industry [7][8]

Global and A-share Market Overview - The A-share market showed mixed performance last week, with the North China 50 Index recording the highest increase of 2.79%, while the Hong Kong market saw a decline, with the Hang Seng Index down by 0.42% [1][12] - The top-performing ETFs were primarily those tracking TMT sector indices [1] ETF New Issuance Statistics - A total of 20 stock ETFs were reported in the A-share market last week, with 7 new stock ETFs established [2][17] - In the US market, 21 equity ETFs were newly established, of which 17 were actively managed ETFs [1][24] Fund Flow A-share Market - The net inflow for the top 10 ETFs was dominated by the CSI A500 Index ETFs, with a total net inflow of nearly 10 billion yuan [2][25] - The top net inflows were recorded for the CSI A500 ETFs, while the largest outflows were seen in industry index ETFs [2][28] - In the thematic ETF category, the Central Enterprise 50 ETF had the highest net inflow, while the technology ETF experienced the largest outflow [2][28] US Stock ETF Market - The AI and big data thematic ETFs saw the highest net inflows, while cybersecurity thematic ETFs experienced net outflows [3] - The total net inflow for ETFs investing in A-shares and Hong Kong stocks amounted to 177 million USD [3] ETF Strategy Performance - The performance of the diffusion indicator + RRG ETF rotation strategy yielded a return of 0.73%, with excess returns of 1.3% and 0.81% relative to the CSI Equal Weight and CSI 300 indices, respectively [4] - The 50% base + intraday momentum strategy showed varying returns across different ETFs, with the CSI 500 ETF achieving a return of 0.75% [4]