ETF策略指数跟踪周报-20260209

Report Industry Investment Rating - Not mentioned in the report Core Viewpoints - By leveraging ETFs, it is convenient to transform quantitative models or subjective viewpoints into practical investment strategies. The report presents several ETF - based strategy indices and tracks their performance and holdings on a weekly basis [12] Summary by Relevant Catalog 1. ETF Strategy Index Tracking - Overall Performance: The table shows the performance of various ETF strategy indices last week. The "Huabao Research Small and Large - Cap Rotation ETF Strategy Index" had a weekly return of - 2.57%, a benchmark return of - 1.72%, and an excess return of - 0.85%. The "Huabao Research Quantitative Fire - Wheel ETF Strategy Index" had a weekly return of - 2.71%, a benchmark return of - 1.72%, and an excess return of - 0.99%. The "Huabao Research Quantitative Balance Art ETF Strategy Index" had a weekly return of - 0.44%, a benchmark return of - 1.33%, and an excess return of 0.90%. The "Huabao Research SmartBeta Enhanced ETF Strategy Index" had a weekly return of - 5.17%, a benchmark return of - 1.72%, and an excess return of - 3.45%. The "Huabao Research Hot - Spot Tracking ETF Strategy Index" had a weekly return of - 4.02%, a benchmark return of - 1.56%, and an excess return of - 2.46%. The "Huabao Research Bond ETF Duration Strategy Index" had a weekly return of 0.14%, a benchmark return of 0.14%, and an excess return of 0.00% [13] 1.1 Huabao Research Small and Large - Cap Rotation ETF Strategy Index - Strategy: 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 indices in the next week and determines holdings accordingly to obtain excess returns relative to the market [14][3] - Performance: As of February 6, 2026, the excess return since 2024 was 27.39%, the excess return in the past month was 1.49%, and the excess return in the past week was - 0.85%. The recent week's return was - 2.57%, the recent month's return was 0.06%, and the return since 2024 was 66.67%. The benchmark (CSI 800) had a recent - week return of - 1.72%, a recent - month return of - 1.43%, and a return since 2024 of 39.28% [14][18] - Holdings: As of February 6, 2026, it held 50% of the "CSI 500ETF" (fund code 159922.SZ) and 50% of the "CSI 1000ETF" (fund code 512100.SH) [18] 1.2 Huabao Research SmartBeta Enhanced ETF Strategy Index - Strategy: It uses price - volume indicators to time self - built Barra factors and maps timing signals to ETFs based on their exposures to 9 major Barra factors to achieve returns exceeding the market. The selected ETFs cover mainstream broad - based index ETFs and some style and strategy ETFs [17][18] - Performance: As of February 6, 2026, the excess return since 2024 was 14.21%, the excess return in the past month was - 3.36%, and the excess return in the past week was - 3.45%. The recent week's return was - 5.17%, the recent month's return was - 4.79%, and the return since 2024 was 53.50%. The benchmark (CSI 800) had a recent - week return of - 1.72%, a recent - month return of - 1.43%, and a return since 2024 of 39.28% [18][19] - Holdings: As of February 6, 2026, it held 25.28% of the "Western Capital Growth Enterprise Market Large - Cap ETF" (fund code 159814.SZ), 25.10% of the "Huaxia Science and Technology Innovation Comprehensive Index ETF" (fund code 589000.SH), 24.82% of the "Science and Technology Innovation 50ETF" (fund code 588000.SH), and 24.80% of the "E Fund Science and Technology Innovation and Growth Enterprise Market ETF" (fund code 159781.SZ) [18][21] 1.3 Huabao Research Quantitative Fire - Wheel ETF Strategy Index - Strategy: It starts from a multi - factor perspective, including the grasp of medium - and long - term fundamental dimensions, the tracking of short - term market trends, and the analysis of the behaviors of various market participants. It uses valuation and crowding signals to indicate industry risks and multi - dimensionally digs potential sectors to obtain excess returns relative to the market [21][4] - Performance: As of February 6, 2026, the excess return since 2024 was 48.59%, the excess return in the past month was 5.45%, and the excess return in the past week was - 0.99%. The recent week's return was - 2.71%, the recent month's return was 4.02%, and the return since 2024 was 87.87%. The benchmark (CSI 800) had a recent - week return of - 1.72%, a recent - month return of - 1.43%, and a return since 2024 of 39.28% [21][23] - Holdings: As of February 6, 2026, it held 20.66% of the "E Fund Securities and Insurance ETF" (fund code 512070.SH), 20.05% of the "Steel ETF" (fund code 515210.SH), 19.97% of the "Penghua Petroleum ETF" (fund code 159697.SZ), 19.66% of the "Electronic ETF" (fund code 159997.SZ), and 19.65% of the "Chemical Industry ETF" (fund code 159870.SZ) [26] 1.4 Huabao Research Quantitative Balance Art ETF Strategy Index - Strategy: It uses a multi - factor system including economic fundamentals, liquidity, technical aspects, and investor behavior factors to build a quantitative timing system for trend analysis of the equity market. It also establishes a prediction model for the market's small - and large - cap styles to adjust the equity market position distribution and comprehensively obtains excess returns relative to the market through timing and rotation [25] - Performance: As of February 6, 2026, the excess return since 2024 was - 8.96%, the excess return in the past month was 2.38%, and the excess return in the past week was 0.90%. The recent week's return was - 0.44%, the recent month's return was - 0.04%, and the return since 2024 was 26.37%. The benchmark (CSI 300) had a recent - week return of - 1.33%, a recent - month return of - 2.42%, and a return since 2024 was 35.34% [25][26] - Holdings: As of February 6, 2026, it held 9.11% of the "10 - Year Treasury Bond ETF" (fund code 511260.SH), 6.50% of the "500ETF Enhanced" (fund code 159610.SZ), 6.26% of the "CSI 1000ETF" (fund code 512100.SH), 32.94% of the "Guotai CSI 300 Enhanced ETF" (fund code 561300.SH), 22.64% of the "Policy - Financial Bond ETF" (fund code 511520.SH), and 22.55% of the "Haifutong Short - Term Financing ETF" (fund code 511360.SH) [28] 1.5 Huabao Research Hot - Spot Tracking ETF Strategy Index - Strategy: It uses strategies such as market sentiment analysis, industry major event tracking, investor sentiment and professional opinions, policy and regulatory changes, and historical deduction to track and dig hot - spot index target products in a timely manner, constructing an ETF portfolio that can capture market hotspots in time to provide investors with references for short - term market trends and help them make more informed investment decisions [28][5] - Performance: As of February 6, 2026, the excess return in the past month was 2.05%, and the excess return in the past week was - 2.46%. The recent week's return was - 4.02%, the recent month's return was 1.15%. The benchmark (CSI All - Share Index) had a recent - week return of - 1.56% and a recent - month return of - 0.90% [28][31] - Holdings: As of February 6, 2026, it held 41.13% of the "Huitianfu Non - Ferrous Metals ETF" (fund code 159652.SZ), 23.13% of the "Bosera Hong Kong Stock Dividend ETF" (fund code 513690.SH), 18.44% of the "E Fund Hong Kong - Stock Connect Pharmaceutical ETF" (fund code 513200.SH), and 17.30% of the "Haifutong Short - Term Financing ETF" (fund code 511360.SH) [31][32] 1.6 Huabao Research Bond ETF Duration Strategy Index - Strategy: It uses bond market liquidity indicators and price - volume indicators to screen effective timing factors and predicts bond yields through machine learning. When the expected yield is below a certain threshold, it reduces the long - duration positions in the bond investment portfolio to improve the portfolio's long - term returns and drawdown control ability [32] - Performance: As of February 6, 2026, the excess return in the past month was 0.29%, and the excess return in the past week was 0.00%. The recent week's return was 0.14%, the recent month's return was 0.76%, the return since 2024 was 9.76%, and the return since its establishment was 23.95%. The benchmark (ChinaBond Aggregate Index) had a recent - week return of 0.14%, a recent - month return of 0.47%, a return since 2024 of 3.26%, and a return since its establishment of 7.55% [32][33] - Holdings: As of February 6, 2026, it held 50.03% of the "10 - Year Treasury Bond ETF" (fund code 511260.SH), 24.99% of the "Policy - Financial Bond ETF" (fund code 511520.SH), and 24.98% of the "5 - to 10 - Year Treasury Bond ETF" (fund code 511020.SH) [32][35]