Report's Investment Rating for the Industry The provided content does not mention the industry investment rating. Core Views of the Report - The report constructs multiple ETF portfolios, including macro industry, macro + momentum industry, core - satellite, and trinity style rotation portfolios, to capture investment opportunities and manage risks in the ETF market [1][5]. - It combines macro - based and momentum - based methods to form complementary strategies, aiming to improve the performance of the portfolios [12]. - The trinity style rotation model uses macro liquidity as the core to build a long - term style rotation model and selects ETFs based on the model's results [6]. Summary by Relevant Catalog 1. ETF Portfolio Construction Methods 1.1 Based on Macro Method - Calculate the macro - sensitivity scores of economic, liquidity, and credit for industry - themed ETFs, and adjust the scores according to the latest indicators. Select the top 6 industry - themed indices and corresponding largest - scale ETFs for equal - weight allocation [1][7]. - 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]. 1.2 Trinity Style Rotation - Build a long - term style rotation model centered on macro liquidity, including growth/value, market capitalization, and quality models. Combine the results of the three models to get the final style preference [6]. - Screen ETFs with high exposure to the target style, control industry exposure, and set allocation limits to obtain the ETF allocation model [6]. 2. Macro Industry Portfolio - Select industry - themed ETFs that have been established for over 1 year and have a current scale of over 200 million. Calculate and adjust sensitivity scores, and remove liquidity scores if there is a significant divergence between liquidity and credit. Then select the top 6 industry - themed indices and corresponding largest - scale ETFs for equal - weight allocation [7][8]. - Currently, with economic forward - looking indicators rising and liquidity and credit indicators tightening, the portfolio is value - oriented with high proportions of banks and cyclical sectors. The December 2025 holdings include Huabao CSI Bank ETF, Cathay CSI Coal ETF, etc. [9]. - The portfolio has large fluctuations and outperformed the benchmark significantly in November 2025 [11]. 3. Macro + Momentum Industry Portfolio - Combine macro - based and momentum - based methods. Use clustering to group industry - themed indices and select the product with the highest 6 - month return from each group for equal - weight allocation [12]. - The December 2025 holdings include Huabao CSI Bank ETF, Cathay CSI Coal ETF, and others. The battery and metal industries selected by momentum have increased [15]. - The portfolio has performed well this year and outperformed the CSI 300 significantly in November 2025 [16]. 4. Core - Satellite Portfolio - Design a "core - satellite" portfolio with the CSI 300 as the core to address the high volatility and rapid industry rotation of industry - themed ETFs [18]. - Calculate macro - sensitivity scores for domestic broad - based, industry - themed, and Smart Beta ETFs, construct three stock portfolios, and weight them at 50%, 30%, and 20% respectively [18]. - The December 2025 holdings include Huatai - Peregrine CSI 300 ETF, Huaxia SSE 50 ETF, etc. The portfolio has been stable this year and outperformed the index almost every month, including in November 2025 [21][23]. 5. Trinity Style Rotation ETF Portfolio - The model currently favors small - cap growth + high - quality segments. The factor exposures and historical performance are presented in the report [24]. - The December 2025 holdings include Southern CSI 500ETF, Southern CSI 1000ETF, etc. [30].

Group 1 - The report focuses on tracking large purchases and net active buying through transaction data to identify potential investment opportunities [1][2] - The top five stocks with the highest large purchase amounts over the last five trading days (October 13 to October 17, 2025) are: Asia-Pacific Pharmaceutical, Guosheng Technology, Anke Technology, Huayuan Holdings, and Delixi [5][8] - The top five stocks with the highest net active buying amounts during the same period are: Hu Nong Commercial Bank, Youngor, Guotou Power, Shandong Highway, and Jiangyin Bank [5][10] Group 2 - The top five industries with the highest large purchase amounts are: Comprehensive, Banking, Steel, Coal, and Transportation [5][13] - The top five industries with the highest net active buying amounts are: Banking, Steel, Coal, Transportation, and Agriculture, Forestry, Animal Husbandry, and Fishery [5][13] Group 3 - The top five ETFs with the highest large purchase amounts are: Guotai Shanghai Stock Exchange State-owned Enterprise Dividend ETF, Fortune CSI Tourism Theme ETF, Huatai-PB Shanghai Stock Exchange Dividend ETF, Huaxia CSI Tourism Theme ETF, and Huaxia CSI 1000 ETF [5][15] - The top five ETFs with the highest net active buying amounts are: Huatai-PB Dividend Low Volatility ETF, Huabao CSI Banking ETF, Guotai CSI Animal Husbandry ETF, Huitianfu CSI Major Consumption ETF, and Guotai Shanghai Stock Exchange State-owned Enterprise Dividend ETF [5][16]