Core Viewpoint - The A-share bull market is expected to continue into 2026, with the index likely to experience a volatile upward trend but with slower growth, leading investors to focus more on fundamental improvements and economic verification [1] Industry Insights - There is a caution regarding structural and phase-based pullback risks in the technology sector, while resource products may emerge as a new main direction for A-shares following the technology theme [1] - The ongoing comprehensive competition between China and the U.S. could significantly impact A-share investments, suggesting a strategic focus on future industries and key resources, particularly in military and defense sectors [1] Key Industry Focus - Key industries to watch include: - New energy - Non-ferrous metals - Basic chemicals - Oil and petrochemicals - Non-bank financials - Military industry - Machinery and equipment - Computers [1] Thematic Focus - Thematic areas of interest include: - New materials - Solid-state batteries - Commercial aerospace - Nuclear power - Cross-strait integration [1]

Core Insights - The article highlights the current positive momentum in the artificial intelligence (AI) sector, driven by a confluence of policy support, technological advancements, and increasing demand, indicating a potential for further growth in the industry [4]. Market Overview - As of October 24, 2025, the Shanghai Composite Index, Shenzhen Component Index, and ChiNext Index have shown significant valuation metrics, with their respective ten-year price-to-earnings (P/E) percentile ranks at 99.42%, 80.49%, and 46.13% [1]. - The market temperature gauge indicates a 25% increase in overall market sentiment, reflecting a bullish outlook [1]. Sector Performance - The electronic sector led the inflow of funds with a net inflow of 11.429 billion, while the pharmaceutical sector experienced the highest outflow at 1.673 billion [2]. - Notable sector performance includes: - Electronics: +2.20% - Defense and military: +1.55% - Real estate: -1.18% - Computer: -1.29% [2]. ETF Performance - The article lists several ETFs with notable performance over the past six months, including: - AI ETF: +103.34% - Innovation Leader ETF: +78.07% - Technology ETF: +64.48% [3]. - The AI sector's index surged over 5% on October 24, 2025, indicating strong market interest and investment in AI technologies [4]. Investment Outlook - The article suggests that the A-share market's effective breakthrough relies on technology leadership, with a positive outlook for the technology sector over the next year [4]. - The "15th Five-Year Plan" emphasizes the importance of new productive forces, positioning technology self-reliance as a core strategic goal [4].

Group 1: Core Insights - The current industry allocation by the Bank of China multi-strategy system includes Non-Bank Financials (11.7%), Basic Chemicals (10.2%), and Comprehensive (9.3%) as the top three sectors [1] - The average weekly return for the 30 CITIC primary industries is -1.1%, with the best-performing sectors being Coal (6.6%), Banking (5.8%), and Food & Beverage (2.6%) [3][10] - The composite strategy has achieved a cumulative return of 27.2% year-to-date, outperforming the CITIC primary industry equal-weight benchmark return of 22.7% by 4.5% [3] Group 2: Industry Performance Review - The worst-performing sectors this week include Electronics (-7.7%), Computers (-6.3%), and Media (-6.2%) [10] - The current top three industries based on profitability expectations are Non-Bank Financials, Agriculture, Forestry, Animal Husbandry, and Fishery, and Communications [15] - The sectors with the highest implied sentiment indicators are Basic Chemicals, Comprehensive, and Electric Equipment & New Energy [19] Group 3: Valuation Risk Alerts - The industries currently flagged for high valuation risk include Retail, Media, Computers, Non-Ferrous Metals, Electronics, and National Defense [12][13] - The valuation warning system uses a 6-year rolling PB (Price-to-Book) ratio to assess industry valuations, with a PB above the 95th percentile indicating overvaluation [12] Group 4: Strategy Performance - The highest performing strategy this year is the Traditional Multi-Factor Scoring Strategy, with an excess return of 18.4% compared to the benchmark [3] - The current allocation of the composite strategy has slightly increased positions in financials and midstream non-cyclical sectors while reducing exposure to upstream cyclical sectors [3] - The macroeconomic indicators favoring the top six industries include Banking, Oil & Petrochemicals, Transportation, Electric Utilities, Construction, and Home Appliances [22]

Core Points - The Shanghai Composite Index fell by 0.92% as of 10:28 AM, with a trading volume of 762.56 million shares and a total transaction value of 1,225.41 billion yuan, a decrease of 5.30% compared to the previous trading day [1] Industry Performance - The top-performing sectors included: - Defense and Military Industry: increased by 0.23% with a transaction value of 37.55 billion yuan, up by 20.18% from the previous day, led by Beifang Changlong, which rose by 15.59% [1] - Computer: increased by 0.13% with a transaction value of 104.33 billion yuan, up by 7.78%, led by Yingjianke, which rose by 20.01% [1] - Steel: increased by 0.11% with a transaction value of 13.36 billion yuan, up by 43.02%, led by Guangdong Mingzhu, which rose by 10.06% [1] - The sectors with the largest declines included: - Automotive: decreased by 2.70% with a transaction value of 63.20 billion yuan, down by 5.67%, led by Riying Electronics, which fell by 9.66% [2] - Household Appliances: decreased by 2.20% with a transaction value of 17.35 billion yuan, down by 2.63%, led by Biyi Co., which fell by 6.05% [2] - Machinery Equipment: decreased by 1.85% with a transaction value of 86.77 billion yuan, down by 7.88%, led by Lvdiafeng, which fell by 9.07% [2]

Market Overview - The Shanghai Composite Index fell by 0.51% today, with a trading volume of 988.89 million shares and a total transaction value of 1,656.09 billion yuan, a decrease of 4.08% compared to the previous trading day [1] Industry Performance - The top-performing sectors included: - Building Materials: Increased by 1.78% with a transaction value of 131.38 billion yuan, led by Huaxin Cement which rose by 10.01% [1] - Coal: Increased by 1.50% with a transaction value of 114.39 billion yuan, led by Baotailong which rose by 10.10% [1] - Textile and Apparel: Increased by 1.28% with a transaction value of 104.96 billion yuan, led by Jinchun Co. which rose by 20.00% [1] - The sectors with the largest declines included: - Electronics: Decreased by 3.47% with a transaction value of 3,310.84 billion yuan, led by Dongxin Co. which fell by 13.06% [2] - Electric Equipment: Decreased by 3.40% with a transaction value of 2,166.29 billion yuan, led by Airo Energy which fell by 13.69% [2] - Computer: Decreased by 2.83% with a transaction value of 1,239.65 billion yuan, led by Danghong Technology which fell by 11.56% [2] Summary of Key Stocks - Leading stocks in the rising sectors included: - Huaxin Cement in Building Materials [1] - Baotailong in Coal [1] - Jinchun Co. in Textile and Apparel [1] - Leading stocks in the declining sectors included: - Dongxin Co. in Electronics [2] - Airo Energy in Electric Equipment [2] - Danghong Technology in Computer [2]

Market Overview - The Shanghai Composite Index increased by 1.24% with a trading volume of 991.06 million shares and a transaction value of 1,726.92 billion yuan, representing a 27.08% increase compared to the previous trading day [1] Industry Performance - The top-performing industries included: - Non-ferrous metals: increased by 6.43% with a transaction value of 143.99 billion yuan, led by Zhongzhou Special Materials which rose by 19.99% [1] - Electronics: increased by 4.07% with a transaction value of 373.84 billion yuan, led by C Yuhan which surged by 36.08% [1] - Electric equipment: increased by 2.69% with a transaction value of 215.73 billion yuan, led by Haike Xinyuan which rose by 20.02% [1] - The worst-performing industries included: - Real estate: decreased by 2.05% with a transaction value of 26.33 billion yuan, led by Shen Shen Fang A which fell by 9.95% [2] - Media: decreased by 1.67% with a transaction value of 43.08 billion yuan, led by Guomai Culture which dropped by 20.00% [2] - Food and beverage: decreased by 0.98% with a transaction value of 22.30 billion yuan, led by Huanle Jia which fell by 3.94% [2]

1. Report Industry Investment Rating No information provided in the content. 2. Core View of the Report - On September 25, 2025, most convertible bond industries rose, and the valuation increased month - on - month. The CSI Convertible Bond Index rose 0.46% month - on - month, while the Shanghai Composite Index fell 0.01% month - on - month. The market style favored large - cap growth stocks. The trading sentiment in the convertible bond market weakened [1]. - The convertible bond price center increased, and the proportion of high - price bonds rose. The overall closing price weighted average of convertible bonds was 130.63 yuan, up 0.41% from the previous day. The valuation also increased, with the 100 - yuan parity fitted conversion premium rate rising 0.29 pct [2]. - In the A - share market, more than half of the underlying stock industry indices declined, with 23 industries falling. In the convertible bond market, 21 industries rose [3]. 3. Summary by Relevant Catalogs 3.1 Market Main Index Performance - The CSI Convertible Bond Index closed at 479.01, up 0.46% daily, down 0.09% in the past week, down 1.99% in the past month, and up 15.55% since the beginning of 2025. Other convertible bond - related indices and major A - share indices also showed different trends in daily, weekly, monthly, and year - to - date changes [6]. - In terms of style indices, large - cap growth stocks performed well, rising 1.28% daily, while large - cap value stocks fell 0.57% daily [7]. 3.2 Market Fund Performance - The trading volume of the convertible bond market was 7.7368 billion yuan, a 12.25% month - on - month decrease. The total trading volume of the Wind All - A Index was 239.1771 billion yuan, a 1.90% month - on - month increase. The net outflow of main funds from the Shanghai and Shenzhen stock markets was 23.6 billion yuan, and the yield of the 10 - year treasury bond decreased 1.82 bp to 1.88% [1]. 3.3 Convertible Bond Valuation - After excluding convertible bonds with a closing price > 150 yuan and a conversion premium rate > 50%, the 100 - yuan parity fitted conversion premium rate was 28.71%, up 0.29 pct, at the 96.90% quantile since 2019. The overall weighted average parity was 100.56, down 0.14%. The price median was 130.2, down 0.01%, at the 98.10% quantile since 2019 [15][19]. - The conversion premium rates of convertible bonds classified by stock - bond nature all increased, with the conversion premium rate of equity - biased convertible bonds rising 1.15 pct [27]. 3.4 Industry Rotation - In the A - share market, the top three industries with the largest declines were Textile and Apparel (- 1.45%), Agriculture, Forestry, Animal Husbandry and Fishery (- 1.22%), and Household Appliances (- 1.07%). The top three industries with the largest increases were Media (+ 2.23%), Communication (+ 1.99%), and Non - Ferrous Metals (+ 1.87%). - In the convertible bond market, the top three industries with the largest increases were Environmental Protection (+ 2.46%), Non - Ferrous Metals (+ 1.62%), and Automobile (+ 1.22%). The top three industries with the largest declines were Building Decoration (- 0.49%), Basic Chemicals (- 0.21%), and Light Industry Manufacturing (- 0.19%) [3][55].

Market Overview - The A-share market saw a majority of major indices decline today, with the Shanghai Composite Index down by 0.30% closing at 3820.09 points, the Shenzhen Component Index down by 0.04% at 13070.86 points, and the ChiNext Index down by 0.16% at 3091.00 points [1][14] - Overall, there were 1909 stocks that rose and 3403 stocks that fell, with a total trading volume of 23238 billion yuan, a decrease of 8113 billion yuan compared to the previous trading day [1] Industry Performance - Among the Shenwan first-level industries, coal, non-ferrous metals, building materials, social services, and national defense industries led the gains with increases of 1.97%, 1.19%, 1.05%, 1.01%, and 0.85% respectively [1][14] - Conversely, the automotive, pharmaceutical, computer, non-bank financial, and machinery equipment sectors experienced declines, with decreases of 1.94%, 1.41%, 1.26%, 0.88%, and 0.60% respectively [1][14] Concept Sector Performance - The top-performing concept sectors today included excavators, coal mining, photoresists, western infrastructure, cameras, Xinjiang revitalization, lithium mines, storage devices, titanium dioxide, large aircraft, rare metals, aircraft carriers, household light industry, the Belt and Road Initiative, and gold jewelry [2][11]

Quantitative Models and Construction Diffusion Index Model - **Model Name**: Diffusion Index Model [5][27] - **Model Construction Idea**: This model is based on the principle of price momentum, aiming to capture upward trends in industry performance. It selects industries with strong upward momentum for allocation [26][27]. - **Model Construction Process**: - The model calculates the diffusion index for each industry, which reflects the proportion of stocks in the industry with positive momentum. - Industries are ranked based on their diffusion index values, and the top-performing industries are selected for portfolio allocation. - Example rankings as of September 12, 2025: Comprehensive (0.99), Banking (0.969), Communication (0.951), Steel (0.95), Non-ferrous Metals (0.947), Retail (0.934) [27][28]. - **Model Evaluation**: The model has shown mixed performance over the years. While it captured trends effectively in 2021, it struggled during market reversals in 2024. It has been tracking performance for four years [26][27]. - **Testing Results**: - 2025 YTD excess return: 4.53% [25][30] - September 2025 average weekly return: 2.79%, excess return over equal-weighted industry index: 0.88% [30] GRU Factor Model - **Model Name**: GRU Factor Model [6][33] - **Model Construction Idea**: This model leverages GRU (Gated Recurrent Unit) deep learning networks to process high-frequency volume and price data, aiming to identify industry rotation opportunities [38]. - **Model Construction Process**: - The GRU network is trained on historical minute-level volume and price data to generate industry factors. - Industries are ranked based on their GRU factor scores, and the top-ranked industries are selected for allocation. - Example rankings as of September 12, 2025: Comprehensive (4.56), Construction (3.8), Real Estate (3.6), Textile & Apparel (0.08), Comprehensive Finance (-0.07), Home Appliances (-0.16) [6][34]. - **Model Evaluation**: The model performs well in short-term scenarios but struggles in long-term or extreme market conditions. It has faced challenges in capturing excess returns in 2025 due to concentrated market themes [33][38]. - **Testing Results**: - 2025 YTD excess return: -7.37% [33][36] - September 2025 average weekly return: 1.70%, excess return over equal-weighted industry index: -0.23% [36] Backtesting Results of Models Diffusion Index Model - **YTD Excess Return**: 4.53% [25][30] - **September 2025 Weekly Average Return**: 2.79% [30] - **September 2025 Weekly Excess Return**: 0.88% [30] GRU Factor Model - **YTD Excess Return**: -7.37% [33][36] - **September 2025 Weekly Average Return**: 1.70% [36] - **September 2025 Weekly Excess Return**: -0.23% [36]

Core Insights - The report highlights the current industry allocation of the Bank of China’s multi-strategy system, with significant positions in non-ferrous metals (15.3%), non-bank financials (12.9%), and comprehensive sectors (7.3%) [1] - The average weekly return for the CITIC primary industries was -3.0%, while the average return over the past month was 3.1% [3][10] - The report identifies the top-performing industries for the week as electric equipment and new energy (2.4%), food and beverage (0.8%), and pharmaceuticals (0.5%), while the worst performers were defense and military (-11.9%), computers (-9.8%), and electronics (-9.7%) [3][10] Industry Performance Review - The report provides a detailed performance review of CITIC primary industries, indicating that the average weekly return was -3.0% and the average monthly return was 3.1% [10] - The top three industries by weekly performance were electric equipment and new energy (2.4%), food and beverage (0.8%), and pharmaceuticals (0.5%) [11] - The bottom three industries were defense and military (-11.9%), computers (-9.8%), and electronics (-9.7%) [11] Valuation Risk Warning - The report employs a valuation warning system based on the PB ratio over the past six years, identifying industries with a PB ratio above the 95th percentile as overvalued [14][15] - Currently, the industries triggering high valuation warnings include retail, media, computers, and defense and military, all exceeding the 95th percentile in PB valuation [15][16] Strategy Performance - The report outlines the performance of various strategies, with the composite strategy yielding a cumulative return of 20.2% year-to-date, outperforming the CITIC primary industry benchmark by 2.3% [3] - The highest excess return strategy was the industry profitability tracking strategy (S1), with an excess return of 5.1% compared to the benchmark [3] - The report indicates a shift in strategy allocations, increasing positions in upstream cyclical and pharmaceutical sectors while reducing exposure to TMT, consumer, and midstream cyclical sectors [3] Current Industry Rankings - The report ranks industries based on profitability expectations, with non-ferrous metals, non-bank financials, and agriculture being the top three [18] - The implied sentiment momentum strategy ranks communication, non-ferrous metals, and electronics as the top three industries based on market sentiment indicators [22] - The macroeconomic style rotation strategy identifies comprehensive finance, computers, communication, defense and military, electronics, and media as the top six industries based on macroeconomic indicators [25]