Investment Rating - The report indicates a positive investment rating for the banking wealth management industry, highlighting a transition towards quality improvement following the implementation of the regulatory rating system [4][11]. Core Insights - The introduction of the "Interim Measures for the Regulatory Rating of Wealth Management Companies" marks a significant step in establishing a unified and systematic regulatory framework for wealth management firms in China, promoting a shift from scale expansion to quality enhancement [4][11]. - The regulatory framework emphasizes asset management capabilities and risk management, reducing the focus on scale-related assessments, thereby providing clear operational guidance for wealth management companies [18][19]. - Recent innovations in the industry include diversified investment strategies, such as 招银理财's "嘉裕领航" series, which combines various strategies to capture multi-dimensional returns amid market uncertainties [21]. Regulatory and Industry Dynamics - On March 16, the National Financial Supervision Administration released the regulatory rating measures, which will be implemented immediately, establishing a comprehensive regulatory system for wealth management companies [4][11]. - The regulatory measures are designed to enhance the industry’s governance structure and promote a transition towards quality-focused growth [12][18]. - The report outlines a timeline of the regulatory framework's development, indicating a gradual approach over four years, culminating in the current measures [12][13]. Performance Metrics - For the week of March 9-15, 2026, cash management products recorded an annualized yield of 1.25%, a decrease of 2 basis points from the previous week, while money market funds yielded 1.15%, down 1 basis point [23][25]. - The report notes a rise in the net loss rate of banking wealth management products to 0.85%, an increase of 0.11 percentage points, indicating potential pressure on the sector [32][35]. Innovation in the Industry - 招银理财's investment strategy focuses on a combination of high-grade credit bonds and quantitative strategies to enhance returns while managing risks [21]. - 苏银理财's participation in the capital increase of 苏盐井神 demonstrates the integration of long-term capital into market opportunities, supporting local enterprises and aligning with national policies to encourage long-term investments [22].

Group 1 - The core idea of the report emphasizes the grid trading strategy as a method to profit from price fluctuations without predicting market trends, suitable for volatile markets [3][12] - The report identifies characteristics of suitable grid trading targets, including low trading costs, good liquidity, and significant volatility, suggesting that equity ETFs are appropriate for this strategy [3][12] Group 2 - The report highlights three key ETFs for grid trading: 1. Cloud Computing ETF (516510.SH), which is positioned as a critical component of the AI era and is expected to benefit from over 7 trillion yuan investment in new infrastructure [3][13] 2. Technology ETF (515000.SH), which aligns with China's strategy for technological self-reliance and aims to capture growth from leading technology companies [4][16] 3. Military Industry ETF (512710.SH), which is expected to benefit from increased defense spending and modernization efforts, with a projected budget of 1.91 trillion yuan for 2026 [5][6][18] Group 3 - The report suggests that investors can enhance returns by using a combination of ETFs with low correlation, such as pairing broad-based and sector-specific ETFs, or mixing A-shares and Hong Kong stocks [19]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - The overall trend in the ETF market last week was that domestic equities generally declined, with high - valuation broad - based indices under pressure. Bonds provided a hedge, and sectors with defensive or resource attributes such as electricity were relatively dominant. There was a clear migration of funds from equity broad - based ETFs to gold, fixed - income, and some thematic ETFs, showing an obvious defensive tendency [22][23][33]. 3. Summary According to the Directory 3.1 Scale: Total Expansion and Structural Stratification (Market/Product/Institution) 3.1.1 Product Scale - As of March 13, 2026, the total number of ETFs in the whole market was 1,456, with a total scale of 52,528.30 billion yuan and 33,707.47 billion shares. Stock - type ETFs were the main force in terms of scale, with 1,131 funds, a scale of 30,551.01 billion yuan, and 21,147.17 billion shares. Compared with the previous week, the overall share increased by 400 million, but the scale decreased by 50.2 billion yuan. The number of stock - type ETFs remained unchanged, the share increased by 1.6 billion, but the scale decreased by 33.1 billion yuan [15][16]. 3.1.2 Institution Scale - Last week, the top 20 fund companies managed a total net asset value of 23 trillion yuan, accounting for 62% of the whole market, indicating significant industry concentration. E Fund and China Asset Management led in total scale with a more balanced structure. Tianhong was more focused on the money - market type. The scale fluctuations last week mainly came from the stock - type and ETF segments, with a "reduction" trend in the equity and ETF segments of the market, and more incremental funds concentrated in a few medium - sized institutions [18][19][20]. 3.2 Performance: Differentiated Gains and Losses and Valuation Positions 3.2.1 Major ETFs - Last week, the domestic equity market was generally weak, with broad - based indices generally retreating. The valuation quantiles of medium - and small - cap indices were at relatively high levels, indicating weakening market risk appetite. Structurally, there were obvious differences. The power ETF rose by 3.88%, showing defensive attributes, while the securities ETF fell by 1.68% due to systematic market adjustments rather than high valuations. Bonds strengthened slightly, and cross - border (QDII) ETFs were also weak, with the Hang Seng Tech Index ETF relatively resistant to decline and at a low historical valuation quantile [22][23]. 3.2.2 CITIC First - level Industry Index - Last week, industry performance showed obvious differentiation. Most industries had relatively high valuation quantiles but different trends. Strong industries were concentrated in the high - valuation range, while low - valuation sectors were generally weak [28]. 3.2.3 Representative ETF Products - As of March 13, 2026, in terms of scale, the Huatai - Peregrine SSE 300 ETF ranked first with 205.803 billion yuan. In terms of trading activity, bond - type ETFs were prominent, and in terms of valuation, some ETFs such as the military - leading ETF and the dividend ETF were at historical high levels, while the Hang Seng Tech ETF and the pharmaceutical ETF were at historical low levels, which were attractive for long - term investors [29]. 3.3 Funds: Sector Liquidity and Net Inflow Structure 3.3.1 Overall Market Overview: Scale and Net Redemption - As of March 13, 2026, the total scale of the whole - market ETFs reached 5.25 trillion yuan, slightly shrinking by 0.77 trillion yuan compared with the beginning of the year. The number of listed ETFs increased to 1,452, an increase of 52 compared with the beginning of the year. Stock - type ETFs were still the main force in scale, but their scale decreased by 0.78 trillion yuan compared with the beginning of the year. Commodity - type ETFs performed the best, with a significant increase of 109.841 billion yuan compared with the beginning of the year [36]. 3.3.2 Major Category of Funds: Stocks/Bonds/Commodities/Cross - border - Last week, funds generally showed a defensive tendency. Broad - based ETFs continued to have net outflows, while industry - thematic ETFs and commodity ETFs had net inflows. The SGE Gold 9999 had the largest net inflow, indicating a strong demand for hedging [4][32]. 3.3.3 Internal Equity: Broad - based vs. Industry/Theme vs. Strategy - As of March 13, 2026, the funds of major broad - based ETFs were generally weak, with continuous net outflows. Thematic ETFs and cyclical manufacturing ETFs were the main directions of fund inflows, while broad - based ETFs continued to be under pressure, indicating an obvious migration of existing funds from broad - based to thematic and cyclical directions [49]. 3.3.4 Top 20 Stock - type ETF Redemption Net Inflows - Last week, power and hedging assets were the main directions pursued by funds. The Grid Equipment ETF had the largest net inflow, followed by the Haifutong Short - term Financing ETF and the Free Cash Flow ETF. The Hang Seng Tech ETF did not appear in the top 10 list, indicating a weakening of short - term capital momentum for Hong Kong technology stocks [53]. 3.3.5 Leveraged Funds: Top 20 Net Margin Purchases and the Relationship with Redemption - Last week, the Bosera Convertible Bond ETF had the largest net margin purchase, followed by the Science and Technology Innovation 50 ETF and the E Fund Hong Kong Securities ETF. There were four typical relationships between margin trading and redemption, and the overall resonance of redemption and margin trading in the market was weak last week [55][56]. 3.4 ETF Trading Congestion 3.4.1 Changes in Trading Volume and Top 10 Turnover ETFs - As of March 13, 2026, the total trading volume of the ETF market was about 2.7 trillion yuan, with the increase mainly coming from bond - type ETFs, followed by stock - type ETFs. The trading volume of bond - type ETFs showed high turnover and high trading volume, and the trading congestion of bond - type ETFs was significantly differentiated. In stock - type ETFs, A500 - related ETFs were the most active in trading, and the trading of large - cap styles still dominated the market [60][63][66]. 3.5 Issuance Dynamics - Last week, the ETF issuance market declined. There were 66 funds being issued, a decrease of 14.29% compared with the previous week. 30 funds were established, an increase of 328.57% compared with the previous week, and 0 funds were listed, a decrease of 100% compared with the previous week. It is expected that 10 ETFs will be listed in the next two weeks, mainly stock - type, covering multiple themes. New products in some directions may be able to承接 existing capital enthusiasm, while the short - term trading activity of new products in some directions may be limited [76][78].

Investment Rating - The report does not explicitly provide an investment rating for the banking wealth management industry Core Insights - Regulatory actions have been taken to address the "yield ranking" issues in the banking wealth management sector, aiming to shift focus from short-term performance competition to long-term research and service capabilities [5][13] - Wealth management companies are increasingly transitioning their performance benchmarks from traditional fixed-value standards to market interest rate or index-linked benchmarks, reflecting a more market-responsive approach [5][13] - The overall market size of wealth management products has seen a slight increase, while the average yield has generally declined [6][18] Summary by Sections Regulatory and Industry Dynamics - In February 2026, regulatory measures were implemented to rectify the "yield ranking" practices, penalizing institutions involved in manipulating yields through "shell products" [5][13] - The shift towards market-linked benchmarks is a response to regulatory pressures and the low-interest-rate environment, with several companies like Xingyin Wealth Management and Pudong Wealth Management leading this transition [5][13] Market Size and Yield Performance - As of February 2026, the total market size of wealth management products reached 31.65 trillion yuan, reflecting a 0.34% increase month-on-month and a 5.35% increase year-on-year [6][18] - The average annualized yield for cash management products was reported at 1.28%, showing a slight decline, while fixed-income products experienced a more significant drop in yields [6][26][27] New Product Issuance - The issuance of new wealth management products decreased in February 2026, with a notable focus on fixed-income and hybrid products [6][40] - The performance benchmarks for newly issued products have generally continued to decline, indicating a trend towards more conservative yield expectations [6][49]

Investment Rating - The report does not explicitly provide an investment rating for the banking wealth management industry Core Insights - Regulatory actions have been taken to address the "yield ranking" issues in the banking wealth management sector, aiming to shift focus from short-term performance competition to long-term research and service capabilities [5][13] - Wealth management companies are increasingly transitioning their performance benchmarks from traditional fixed-value standards to market interest rate or index-linked benchmarks, reflecting a response to regulatory changes and the low interest rate environment [5][13] - The overall market size of wealth management products has seen a slight increase, while the average yield has generally declined [6][18] Summary by Sections Regulatory and Industry Dynamics - In February 2026, regulatory measures were implemented to rectify the "yield ranking" practices, penalizing institutions involved in such activities, which often led to distorted short-term performance metrics [5][13] - The shift towards market-linked benchmarks is a response to both regulatory pressures and the ongoing low yield environment, with several wealth management firms adjusting their performance benchmarks accordingly [5][13] Market Size and Performance - As of February 2026, the total market size for wealth management products reached 31.65 trillion yuan, reflecting a 0.34% increase month-on-month and a 5.35% increase year-on-year [6][18] - The average annualized yield for cash management products was reported at 1.28%, showing a decrease of 0.06 basis points, while the yield for fixed-income products was 2.30%, down by 0.38 percentage points [6][26] New Product Issuance - The issuance of new wealth management products decreased in February 2026, with the product spectrum continuing to show three main characteristics: dominance of fixed-income plus products, a focus on closed-end products, and a prevalence of 1-3 year term products [6][40] - The performance benchmarks for newly issued wealth management products have generally continued to decline, with average benchmarks for pure fixed-income products and fixed-income plus products showing reductions [6][49]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - The overall ETF market in the week of 2026.03.02 - 2026.03.06 showed a trend of structural differentiation. The equity market was generally weak, with high - valuation broad - based ETFs under pressure, while bonds provided hedging, and sectors with defensive/resource attributes such as oil and electricity were relatively dominant. There was a clear migration of funds from equity broad - based ETFs to gold, fixed - income, and some thematic ETFs, indicating a defensive tendency [21][22][31]. - The issuance of ETFs accelerated significantly last week, with new products mainly in the energy direction. However, the grid equipment ETF was at a high valuation, and the concentrated issuance might increase congestion, while the power ETF had a relatively reasonable valuation and controllable risks [4]. 3. Summary by Relevant Catalogs 3.1 Scale: Total Expansion and Structural Stratification (Market/Product/Institution) 3.1.1 Product Scale - As of March 6, 2026, the total number of ETFs in the whole market was 1,446, with a total scale of 53,029.83 billion yuan and 33,703.54 billion shares. Stock - type ETFs were the absolute main force, with 1,131 funds, a scale of 30,882.03 billion yuan, and 21,131.36 billion shares. The scale of cross - border ETFs was 9,452.05 billion yuan, bond - type ETFs was 7,374.88 billion yuan, commodity - type ETFs was 3,566.12 billion yuan, and currency - type ETFs was 1,749.61 billion yuan [11][13]. - Compared with the previous week, the overall share increased by 30.9 billion, but the scale decreased by 83.6 billion yuan. Stock - type ETFs increased in number and share but decreased in scale, while bond - type, commodity - type, and currency - type ETFs increased in both share and scale [12]. 3.1.2 Institution Scale - Last week, the top 20 fund companies managed a total net asset value of 23 trillion yuan, accounting for 62% of the whole market, showing a significant industry head effect and a high level of concentration. The top 10 fund companies mainly focused on currency and equity (stocks + ETFs). E Fund and China Asset Management had leading and more balanced total scales, Tianhong was more focused on currency - type products, and Bosera, Fullgoal, and Penghua had a more fixed - income - oriented structure [14]. - Compared with the previous week, the scale fluctuations last week mainly came from the stock and ETF sectors. Some leading institutions' equity and ETF scales declined, while some medium - sized institutions showed an incremental trend, and the differentiation among institutions increased [16]. 3.2 Performance: Rise - Fall Differentiation and Valuation Position 3.2.1 Large - Category ETFs - Last week, the domestic equity market was generally weak, with broad - based indexes generally retreating. The small - and medium - cap indexes (CSI 500/CSI 1000) had larger declines, and the valuation quantiles were still at a high level. Structurally, there was obvious differentiation. The oil ETF in the cyclical manufacturing direction rose against the trend, and the power ETF in the dividend/utilities direction also rose, while the securities ETF fell [21]. - Bonds strengthened slightly, and cross - border (QDII) ETFs were also weak. Overall, the main trend last week was the general decline of domestic equities, high - valuation broad - based indexes under pressure, bonds providing hedging, and sectors with defensive/resource attributes such as oil and electricity being relatively dominant [22]. 3.2.2 CITIC First - Level Industry Index - Last week, industry performance showed obvious differentiation. Sectors such as petroleum and petrochemicals, coal, and banks were strong but with high valuations; sectors such as power and public utilities, agriculture, forestry, animal husbandry, and fisheries, and communications were strong but with relatively low valuations; sectors such as computers, electronics, and machinery were weak and with high valuations; sectors such as food and beverages, commercial retail, and real estate were weak and with low valuations [26]. 3.2.3 Representative ETF Products - In terms of scale, Huatai - Bertrands SSE 50 ETF (510300) ranked first with 208.329 billion yuan. In terms of trading activity, bond - type ETFs were prominent, and among equity - type ETFs, the Hang Seng Tech ETF and A500ETF were the most actively traded. In terms of valuation, military - leading ETFs and dividend ETFs were at historical high levels, while the Hang Seng Tech ETF, pharmaceutical ETF, Nasdaq ETF, and power ETF were at historical low levels, which had certain allocation attractiveness for medium - and long - term investors [28]. - Among the top 20 indexes, the SSE 50 ETF had the largest scale but a significant decline last week. Most equity - type index ETFs had a net outflow of funds, while safe - haven and fixed - income assets were favored by funds. The SGE Gold 9999 had the most prominent performance, and some thematic ETFs also showed good inflow trends [30]. 3.3 Funds: Sector Liquidity and Net Inflow Structure 3.3.1 Whole - Market Overview: Scale and Net Redemption - Last week, the total scale of the whole - market ETFs reached 5.30 trillion yuan, slightly shrinking by 0.72 trillion yuan compared with the beginning of the year. The number of listed ETFs increased to 1,445, with 45 new ones compared with the beginning of the year. Stock - type ETFs were still the main force, but their scale decreased compared with the beginning of the year. Bond - type ETFs had the largest shrinkage, while commodity - type ETFs performed the best, and currency - type and cross - border ETFs had a slight increase [34]. 3.3.2 Large - Category Funds: Stocks/Bonds/Commodities/Cross - Border No specific content provided in the text for a detailed summary. 3.3.3 Internal Equity: Broad - Based vs. Industry/Theme vs. Strategy - Last week, the funds of major broad - based ETFs were generally weak, with the SSE 50 having a continuous net outflow in the past 60 days, and the ChiNext also under great outflow pressure. The main directions of capital inflow were thematic ETFs and cyclical manufacturing ETFs, while broad - based ETFs continued to be under pressure, indicating an obvious migration of funds from broad - based to thematic and cyclical directions [49][50]. 3.3.4 Top 20 Stock - Type ETF Redemption Net Inflows - Last week, energy and safe - haven assets were the main directions pursued by funds. The oil ETF had the highest net inflow, and the grid equipment ETF and other energy - related ETFs also had high net inflows. Gold ETFs continued the net inflow trend. The Hang Seng Tech ETF also received a net inflow despite a decline [54]. 3.3.5 Leveraged Funds: Top 20 Margin - Trading Net Buys and the Relationship with Redemption - Last week, the grid equipment ETF had the highest margin - trading net buy, followed by the Hang Seng Tech Index ETF and the Hong Kong Stock Connect Internet ETF. The medical ETF also had a relatively high margin - trading net buy. Gold - related ETFs had a large margin - trading net buy in total. There were four typical relationships between margin - trading and redemption, and the power ETF was the only one in the "double - strong" quadrant [56][57]. 3.4 ETF Trading Congestion 3.4.1 Top 10 ETFs in Terms of Turnover and Trading Volume - Last week, the total trading volume of the ETF market was about 2.9 trillion yuan. The increase in volume mainly came from bond - type ETFs, followed by stock - type ETFs. In the bond - type ETFs, the short - term financing ETF had the highest trading volume and turnover rate. In the stock - type ETFs, the electronic industry ETFs were the most actively traded, and the oil and petrochemical ETFs had a high turnover rate but relatively low trading volume. The large - cap style still dominated the market trading volume, and the game between growth and balanced styles was the core main line of current stock - type ETF trading [61][68][71]. 3.5 Issuance Dynamics and Trading Congestion - Last week, the ETF issuance market accelerated significantly, with 77 funds being issued, a 48% increase compared with the previous week. 12 funds were established (a 140% increase compared with the previous week), and 7 funds were listed (a 133% increase compared with the previous week). The supply of new products accelerated significantly. The newly listed ETFs were mainly in the energy and manufacturing directions, but the grid equipment ETF was at a high - valuation and high - congestion level, while the power ETF had a relatively reasonable valuation [78][80].

Investment Rating - The report does not explicitly provide an investment rating for the banking wealth management industry. Core Insights - The China Interbank Market Dealers Association has officially released a notice to further optimize the mechanism for technology innovation bonds, encouraging the development of index-based investment products in the banking wealth management sector to enhance market liquidity and pricing efficiency [4][11]. - There is a notable shift in talent demand within wealth management companies, moving from traditional fixed-income research to areas such as equity research, multi-asset strategies, quantitative funds of funds (FOFs), and cross-border assets, indicating an accelerated upgrade in industry research and investment layout [4][13]. Summary by Sections Regulatory and Industry Dynamics - The notice from the China Interbank Market Dealers Association aims to promote the issuance of technology innovation bonds and the development of index-based investment products by wealth management and asset management institutions [4][11]. - During the 2026 spring recruitment season, wealth management companies are signaling a shift in talent needs, focusing on multi-strategy investment research rather than traditional fixed-income research [4][13]. Innovations in the Industry - Xinyin Wealth Management has launched a new wealth management product linked to its self-developed "Lingxi Global Multi-Asset Rotation Index," which employs a "fixed income + derivatives" strategy [5][15]. - China Merchants Bank Wealth Management has established a new asset allocation framework called HALO, focusing on heavy assets with low obsolescence, and integrated it into its multi-strategy product system [5][16]. -浦银 Wealth Management has developed a multi-strategy toolbox within its "Yihengli" product series, aiming to achieve dynamic allocation and optimize client investment experiences [5][18]. Yield Performance - For the week of March 2 to March 8, 2026, cash management products recorded an annualized yield of 1.27%, a decrease of 1 basis point from the previous week, while money market funds remained stable at 1.16% [6][21]. - The yield on pure fixed-income products generally increased, while yields on fixed-income plus products mostly declined during the same period [6][22]. Net Value Tracking - The net value ratio of banking wealth management products was 0.77%, an increase of 0.14 percentage points week-on-week, indicating a potential upward pressure on the net value ratio if credit spreads continue to widen [6][29].

Investment Rating - The report does not explicitly provide an investment rating for the banking wealth management industry Core Insights - The China Interbank Market Dealers Association has officially released a notice to further optimize the technology innovation bond mechanism, encouraging the issuance of index-based investment products related to technology innovation bonds by banking wealth management and securities asset management institutions, aiming to enhance liquidity and pricing efficiency in the secondary market [4][11] - There is a notable shift in talent demand within wealth management companies from traditional fixed income research to areas such as equity research, multi-asset strategies, quantitative funds of funds (FOFs), and cross-border assets, indicating an accelerated upgrade in industry research and investment layout [4][13] Regulatory and Industry Dynamics - The report highlights the release of a notice by the China Interbank Market Dealers Association on March 2, 2026, which promotes the construction of a technology innovation bond index and encourages banking wealth management and securities asset management institutions to launch related index-based investment products [4][11] - During the 2026 spring recruitment season, many wealth management companies have signaled a shift in talent needs, moving from traditional fixed income research to multi-strategy and quantitative investment areas [4][13] Innovations in the Industry - Xinyin Wealth Management has recently launched a wealth management product linked to its self-developed "Lingxi Global Multi-Asset Rotation Index," which employs a "fixed income + derivatives" strategy [5][15] - China Merchants Bank Wealth Management has established a new asset allocation framework based on the "HALO" investment theme, focusing on heavy assets with low obsolescence, and has integrated this framework into its multi-strategy product system [5][16] -浦银 Wealth Management has developed a multi-strategy toolbox within its "Yihengli" series, which includes strategies for technology + dividend enhancement, quantitative index enhancement, and all-weather strategies [5][18] Yield Performance - For the week of March 2-8, 2026, cash management products recorded an annualized yield of 1.27%, a decrease of 1 basis point from the previous week, while money market funds remained stable at 1.16% [6][21] - The report notes that yields for pure fixed income products generally increased, while yields for fixed income + products mostly decreased during the same period [6][22] Net Value Tracking - The report indicates that the net value ratio of banking wealth management products was 0.77% for the week, an increase of 0.14 percentage points from the previous week, with credit spreads narrowing by 1.18 basis points [6][29]

1. Report Industry Investment Rating - No information provided in the report 2. Core View of the Report - The report presents several ETF strategy indices constructed with the help of ETFs, and tracks the performance and positions of these indices on a weekly basis. These indices aim to obtain excess returns relative to the market through different strategies [12] 3. Summary by Directory 3.1 ETF Strategy Index Tracking - **ETF Strategy Index Last Week's Performance**: The report shows the performance of six ETF strategy indices last week, including the index name, last week's index return, comparison benchmark, last week's benchmark return, and excess return. For example, the excess return of the Huabao Research Size Rotation ETF Strategy Index last week was -1.78%, and that of the Huabao Research Quantitative Fire - Wheel ETF Strategy Index was 1.06% [13] 3.2 Huabao Research Size Rotation ETF Strategy Index - **Strategy Principle**: It uses multi - dimensional technical indicator factors and a machine - learning model to predict the return difference between the Shenwan Large - Cap Index and the Shenwan Small - Cap Index. The model outputs signals weekly to predict the strength of the index in the next week and determines positions accordingly [14] - **Performance**: As of March 6, 2026, the excess return since 2024 was 27.61%, the excess return in the recent month was -1.00%, and the excess return in the recent week was -1.78% [14] - **Positions**: As of March 6, 2026, it held 50% of the CSI 500ETF (159922.SZ) and 50% of the CSI 1000ETF (512100.SH) [18] 3.3 Huabao Research SmartBeta Enhanced ETF Strategy Index - **Strategy Principle**: It uses price - volume indicators to time self - built barra factors, and then maps the timing signals to ETFs based on the exposure of ETFs to 9 major barra factors to obtain returns exceeding the market [18] - **Performance**: As of March 6, 2026, the excess return since 2024 was 19.58%, the excess return in the recent month was 0.39%, and the excess return in the recent week was 0.29% [18] - **Positions**: As of March 6, 2026, it held multiple ETFs such as the Free Cash Flow 800ETF Wanjia (563580.SH) with a weight of 12.96%, the CSI Dividend ETF (515080.SH) with a weight of 12.81%, etc. [21] 3.4 Huabao Research Quantitative Fire - Wheel ETF Strategy Index - **Strategy Principle**: It starts from a multi - factor perspective, including the grasp of the medium - and long - term fundamental dimension, the tracking of short - term market trends, and the analysis of the behaviors of various market participants. It uses valuation and crowding signals to prompt industry risks and multi - dimensionally dig out potential sectors [22] - **Performance**: As of March 6, 2026, the excess return since 2024 was 57.82%, the excess return in the recent month was 1.63%, and the excess return in the recent week was 1.06% [22] - **Positions**: As of March 6, 2026, it held the Petroleum Penghua ETF (159697.SZ) with a weight of 22.66%, the Chemical ETF (159870.SZ) with a weight of 19.74%, etc. [27] 3.5 Huabao Research Quantitative Balance Art ETF Strategy Index - **Strategy Principle**: It uses a multi - factor system including economic fundamentals, liquidity, technical aspects, and investor behavior factors to construct a quantitative timing system for trend judgment of the equity market. It also establishes a prediction model for the market's large - and small - cap styles to adjust the position distribution of the equity market [28] - **Performance**: As of March 6, 2026, the excess return since 2024 was -8.89%, the excess return in the recent month was 1.43%, and the excess return in the recent week was 0.31% [28] - **Positions**: As of March 6, 2026, it held the 10 - Year Treasury Bond ETF (511260.SH) with a weight of 9.12%, the 500ETF Enhanced (159610.SZ) with a weight of 6.62%, etc. [34] 3.6 Huabao Research Hot - Spot Tracking ETF Strategy Index - **Strategy Principle**: It tracks and mines hot - spot index target products in a timely manner according to strategies such as market sentiment analysis, industry major event tracking, investor sentiment and professional opinions, policy and regulatory changes, and historical deduction, and constructs an ETF portfolio that can capture market hot - spots in a timely manner [32] - **Performance**: As of March 6, 2026, the excess return in the recent month was -5.85%, and the excess return in the recent week was -1.03% [32] - **Positions**: As of March 6, 2026, it held the Non - Ferrous Metals ETF Huitianfu (159652.SZ) with a weight of 43.56%, the Hong Kong Stock Dividend ETF Boshi (513690.SH) with a weight of 23.04%, etc. [37] 3.7 Huabao Research Bond ETF Duration Strategy Index - **Strategy Principle**: It uses bond market liquidity indicators and price - volume indicators to screen effective timing factors, and predicts bond yields through machine - learning methods. When the expected yield is lower than a certain threshold, it reduces the long - duration positions in the bond investment portfolio to improve the long - term return and drawdown control ability of the portfolio [38] - **Performance**: As of March 6, 2026, the excess return in the recent month was 0.27%, and the excess return in the recent week was 0.00% [38] - **Positions**: As of March 6, 2026, it held the 10 - Year Treasury Bond ETF (511260.SH) with a weight of 50.01%, the Policy Financial Bond ETF (511520.SH) with a weight of 25.03%, etc. [43]

Group 1 - The report outlines a grid trading strategy, which is essentially a high buy low sell trading approach that capitalizes on price fluctuations without predicting market trends, making it suitable for volatile markets [3][11] - The characteristics of suitable grid trading targets include selecting on-market assets, stable long-term trends, low transaction costs, good liquidity, and high volatility, with equity ETFs being identified as appropriate for this strategy [3][11] Group 2 - The report highlights three key ETFs for grid trading: 1. **Cloud Computing ETF (159273.SZ)**: The rise of OpenClaw, an AI framework, is expected to drive exponential growth in demand for cloud computing infrastructure and computing power rental services, supported by national strategies emphasizing AI and infrastructure development [3][12] 2. **Consumer Electronics ETF (562950.SH)**: Xiaomi's launch of the Xiaomi miclaw, an AI-driven mobile assistant, signifies a deep integration of AI into consumer electronics, potentially enhancing product experiences and driving demand for core components and high-end chips [4][15] 3. **Robotics ETF (159530.SZ)**: The increasing presence of robots in various commercial scenarios, as showcased in recent cultural events, reflects the maturation of China's robotics industry and its expansion into new economic growth areas, supported by advancements in AI and smart manufacturing [5][6][17] Group 3 - The report suggests that investors should consider using a combination of low-correlation ETFs for grid trading to diversify risk and enhance capital efficiency, recommending combinations of different types and investment ranges of ETFs [18]