Group 1 - Tsinghua Dongbao (600867.SH) reported its Q3 2025 results, with 9 institutional investors holding a total of 928 million shares, representing 47.39% of the total share capital [1] - The institutional holding ratio increased by 0.77 percentage points compared to the previous quarter [1] Group 2 - In the public fund sector, one fund, namely the Innovative Medicine fund, increased its holdings slightly, while two funds, including the China Securities National Biomedicine Index A and Southern CSI 500 ETF, reduced their holdings by 0.17% [2] - A total of 249 public funds did not disclose their holdings this period, including Tianhong National Biomedicine ETF and Guotai CSI Biomedicine ETF [2] Group 3 - MACD golden cross signals have formed, indicating a positive trend for certain stocks [3]

Group 1 - The core point of the article highlights a significant decline in the number of "doubling funds" in the A-share market, with over half disappearing in less than ten trading days due to high volatility and corrections in leading sectors like innovative pharmaceuticals and technology [1][2] - As of October 21, only 25 funds with a cumulative increase of over 100% remained, a sharp drop from 53 at the end of September, indicating a substantial contraction in the "doubling fund" category [2][3] - The innovative pharmaceutical index and the Hong Kong Stock Connect innovative pharmaceutical index have seen declines of 9.17% and 11.59% respectively since October, with both indices retreating over 13% from their yearly highs [2][3] Group 2 - Despite the recent corrections, funds focused on technology and pharmaceuticals still dominate, with top performers like Yongying Technology Smart A achieving a 194.96% annual return [3][4] - The number of "doubling funds" fluctuated dramatically, reaching a low of just 8 on October 14, but rebounded as the technology sector showed signs of recovery [3][4] - Recent inflows into pharmaceutical ETFs indicate continued investor interest, with significant net inflows recorded for several funds since the beginning of October [3][5] Group 3 - Analysts suggest that the recent market adjustments may provide better investment opportunities, as the corrections are seen as a release of risk rather than a long-term trend [5][6] - The shift in market style from growth to value is attributed to factors such as U.S.-China trade tensions and profit-taking by investors after substantial gains in technology stocks [6][7] - The long-term outlook for innovative pharmaceuticals remains positive, with expectations of continued growth driven by successful business development and clinical advancements [7][8]

Group 1: Report Industry Investment Rating - No industry investment rating is provided in the report. Group 2: Core Viewpoints of the Report - The report constructs multiple ETF portfolios using macro - based methods and a trinity style rotation model, aiming to capture investment opportunities in different market conditions [2][5]. - Different portfolios have different characteristics. For example, the macro - industry portfolio is adjusted monthly based on economic, liquidity, and credit conditions, and currently leans towards growth with more pharmaceutical holdings [8][11]. - The macro + momentum industry portfolio combines macro and momentum methods, and has performed well this year, almost outperforming the index every month [14][19]. - The core - satellite portfolio uses the CSI 300 as the base - position and combines different sub - portfolios to achieve relatively stable performance [20][24]. - The trinity style rotation ETF portfolio uses macro - liquidity as the core to construct a style rotation model and provides 8 style preference results [6][25]. Group 3: Summary According to Relevant Catalogs 1. ETF Portfolio Construction Methods 1.1 Based on Macro Method of ETF Portfolio Construction - Calculate macro - sensitivity of indexes tracked by broad - based, industry - themed, and Smart Beta ETFs according to economic, liquidity, and credit variables. Consider adding momentum indicators for complementarity [5]. - Traditional cyclical industries are sensitive to the economy, TMT is sensitive to liquidity, and consumption is sensitive to credit. State - owned enterprises and ESG - related themes have low sensitivity to liquidity and credit [5]. - Construct three ETF portfolios: macro - industry portfolio, macro + momentum industry portfolio, and core - satellite industry portfolio, and rebalance monthly [5]. 2.2 Trinity Style Rotation ETF Portfolio Construction - Build a medium - to long - term style rotation model centered on macro - liquidity, and compare it with the CSI 300 index. - Construct three types of models: growth/value rotation model, market - capitalization model, and quality model. Combine the results of the three models to get the final style preference, with a total of 8 style preference results [6]. 2. Macro Industry Portfolio - Select industry - themed indexes tracked by ETFs with a listing period of over 1 year and a current scale of over 200 million. Calculate sensitivity scores of economy, liquidity, and credit monthly, adjust the score directions according to the latest indicators, and sum them up. Select the top 6 industry - themed indexes and allocate equally among the corresponding largest - scale ETFs [8]. - Currently, due to the economic downturn, slightly tight liquidity, and good credit, it selects ETFs insensitive to the economy and sensitive to credit, leaning towards growth with more pharmaceutical holdings [11]. 3. Macro + Momentum Industry Portfolio - Combine macro and momentum methods. Use clustering to divide industry - themed indexes into 6 groups, and select the product with the highest 6 - month increase in each group for equal - weight allocation [14]. - Both the macro and momentum parts select many pharmaceutical - sector products, and the gaming and Internet sectors also account for a large proportion. The portfolio has performed well this year, outperforming the index almost every month [16][19]. 4. Core - Satellite Portfolio - Design a "core - satellite" portfolio with the CSI 300 as the base - position to address the high volatility and rapid industry rotation of industry - themed ETFs [20]. - Build three sub - portfolios: a broad - based portfolio, an industry portfolio (using the macro + momentum industry portfolio), and a Smart Beta portfolio. Weight the three sub - portfolios at 50%, 30%, and 20% respectively to get the final portfolio. The portfolio has performed stably this year, also outperforming the index almost every month [21][24]. 5. Trinity Style Rotation ETF Portfolio - The model currently leans towards small - cap growth + high - quality. The factor exposure and historical performance are presented, and the portfolio's monthly returns and August holdings are also provided [25][30].