Market Overview - Global markets experienced significant fluctuations, with A-shares declining nearly 1% and Hong Kong stocks dropping close to 2% [1] - The Shanghai Composite Index closed down 0.81% at 3939.81 points, while the Shenzhen Component Index fell 0.92% to 13080.49 points [1] - Over 4100 stocks in the market were in the red, with resource stocks such as coal, steel, and non-ferrous metals collectively declining [1] Semiconductor Sector - The semiconductor sector saw a notable rally, with stocks like Longxin Co. and Dongxin Co. rising by 20% and nearly 13% respectively [2] - Institutions highlight that supply chain security and self-sufficiency are long-term trends, with domestic substitution in equipment and materials being a key focus [2] - Global AI computing investment continues to grow significantly, and the structural shortage in storage persists, indicating a robust outlook for the semiconductor industry [2] Coal Sector - The coal sector underwent a collective adjustment, with the coal mining and processing sector dropping 4.59% [3] - Companies like Yunmei Energy and Baotailong hit the daily limit down, with Yunmei reporting negative net profits for 2024 and the first nine months of 2025 [3] - Analysts suggest that domestic coal supply growth expectations are limited, but demand may increase in the winter, providing a positive outlook for coal prices in Q4 [3] AI and Related Technologies - Stocks related to generative AI saw significant gains, with companies like Xuanyai International and Langchao Software hitting the daily limit up [4] - Alibaba announced its "Qianwen" project, entering the AI consumer market, with the app now in public beta [4] - Ant Group launched a multi-modal AI assistant, indicating a competitive push in the AI application space [4][5] Domestic AI Industry - Baidu introduced new Kunlun chips optimized for large-scale inference and multi-modal model training, with launches expected in 2026 and 2027 [5] - The domestic AI industry is seen as having a differentiated competitive advantage, with breakthroughs in open-source and AI chips paving the way for sustainable growth [5]

Core Insights - Huawei has developed a breakthrough technology that can increase AI computing power utilization from 30% to 70%, effectively doubling the performance of existing chips [1][3] - This advancement positions the domestic AI industry for significant growth opportunities, potentially allowing for a "leapfrog" in development [1] Technological Breakthrough - The average computing power utilization in the industry is currently between 30% and 40%, leading to substantial resource wastage [1] - Huawei's new technology is likened to transforming a standard tractor into a high-performance sports car, showcasing the potential of software to enhance hardware capabilities [1] Competitive Positioning - Huawei's technology directly competes with Nvidia's acquisition of Run:ai, but Huawei achieves similar functionality through independent research and development [3] - The ability to "mask" hardware differences and manage various computing resources, including Nvidia and Ascend, adds significant value in a mixed computing environment [3] Core Principles - Huawei's Scale-up technology allows for flexible resource allocation among CPU, memory, and storage, enabling a "pooling" approach [4] - This architecture facilitates hundreds of AI processors to work collaboratively as a single computing unit, overcoming individual chip performance limitations [4] Computing Scheduling - Huawei's container technology acts as an "intelligent scheduling commander," ensuring optimal task distribution to the most suitable computing units [6] - This dynamic scheduling and resource partitioning technology keeps expensive AI chips operating efficiently [6] Domestic Computing Evolution - In the context of advanced process limitations, Huawei's strategy of system architecture innovation compensates for specific shortcomings [7] - Software optimization is unlocking hardware potential, transitioning domestic computing platforms from "usable" to "well-performing" [7] AI Application Impact - Increased computing power utilization will significantly reduce AI training costs, allowing tasks that previously required 10 cards to be completed with just 5 [9] - This reduction in costs will lower barriers to AI application, accelerating the implementation of smart manufacturing, smart cities, and autonomous driving [9] Ecosystem Development - As Huawei's computing platform efficiency improves, more developers are likely to choose its ecosystem for AI application development [10] - This technological leadership is expected to translate into ecosystem advantages, creating a virtuous cycle of "better usability - more users - enhanced features" [10] Industry Opportunities - The software breakthrough will drive demand for supporting hardware, including high-performance servers, optical modules, and connectors [12] - AI application developers will benefit from reduced computing costs, leading to broader market opportunities [12]

Core Insights - In the first ten months of the year, 98.2% of the 8,154 comparable mixed funds experienced a net value increase, while only 148 funds saw a decline [1][2] - The top-performing mixed funds, primarily focused on technology investments, achieved returns exceeding 130%, with the "Yongying Technology Smart Selection Mixed Fund" leading with returns of 200.63% and 199.05% for its A and C shares respectively [1][2] - The "China Europe Digital Economy Mixed Fund" also performed well, with returns of 134.72% and 133.56% for its A and C shares, focusing on AI infrastructure and applications [2] Performance Summary - The "Yongying Technology Smart Selection Mixed Fund" A/C was established on October 30, 2024, with a scale of 11.52 billion yuan and a year-to-date return of 198.11% and 196.53% as of November 5, 2025 [1] - The fund's top ten holdings include companies like Xinyi Technology, Zhongji Xuchuang, and Tencent Holdings, reflecting a strong focus on the global cloud computing industry [1] - The "China Europe Digital Economy Mixed Fund" A/C, established on September 12, 2023, has a scale of 13.02 billion yuan and year-to-date returns of 131.63% and 130.46% [2] Decline Summary - The "Xinyuan Consumer Selection Mixed Fund" A/C recorded the largest declines, with returns of -17.34% and -17.03% respectively, since its establishment on March 24, 2023 [3] - Six of the ten worst-performing funds were from the GF Fund, with declines ranging from -16.86% to -13.47%, all managed by the same fund manager [3]

Group 1 - Samsung Electronics has suspended DDR5 DRAM contract pricing for October, prompting SK Hynix and Micron to follow suit, leading to a supply chain "shortage" with a recovery in pricing expected to be delayed until mid-November [1] - The upstream manufacturers are only providing quotes to leading technology companies or first-tier cloud vendors in Q4, with DDR5 capacity almost entirely unavailable to other general customers, indicating that the storage market has "completely entered a seller's market" [1] - As a result, funds are flowing into the semiconductor sector, with the semiconductor ETF (159813) seeing a net subscription of 58 million shares during trading [1] Group 2 - Overseas cloud vendors are significantly supporting and investing in ASIC, which is expected to continue increasing market share in this field, with growth potentially exceeding the overall market [1] - Leading companies have a positive outlook on this market, suggesting attention to high-speed PCB, interconnects, and domestic custom chip IP suppliers that are likely to benefit from upstream storage control, inventory digestion, and improvements in industry supply-demand relationships [1] - As of November 3, 2025, the National Semiconductor Chip Index (980017) shows mixed performance among its constituent stocks, with Zhaoyi Innovation (603986) leading with a 3.71% increase, while Gekewei (688728) is the biggest loser [1] Group 3 - The semiconductor ETF (159813) closely tracks the National Semiconductor Chip Index, reflecting the market performance of listed companies related to the chip industry on the Shanghai and Shenzhen stock exchanges [2] - As of October 31, 2025, the top ten weighted stocks in the National Semiconductor Chip Index (980017) include Cambricon (688256), Haiguang Information (688041), and SMIC (688981), with these ten stocks accounting for 71.26% of the total index weight [2]

Group 1 - Capital continues to show significant interest in Chinese assets [2] - Chinese concept stocks have shown overall strength, with Direxion's YINN ETF up 2.68% and iShares MSCI China ETF up 1.12% [3] - The Hong Kong stock market experienced a technical correction after a rapid rise, particularly after the Hang Seng Index surpassed 27,000 points [5] Group 2 - Technology stocks, which have been market leaders, showed weakness, with Kuaishou down over 3% and BYD down nearly 4% due to poor quarterly sales data [4][5] - The semiconductor sector is expected to see explosive growth in demand for storage semiconductors driven by AI server investments, entering a "super cycle" of price increases [6] - Morgan Stanley projects the global HBM market to grow from $3 billion in 2023 to $53 billion by 2027, indicating a strong outlook for the semiconductor industry [7] Group 3 - Alibaba's stock price surged, with a market capitalization exceeding HKD 3.5 trillion, reflecting positive sentiment in the market [8] - JPMorgan raised Alibaba's target price significantly to HKD 240, citing growth in cloud computing and e-commerce as key drivers [9] - The semiconductor sector's growth is closely tied to large companies' procurement orders, particularly in AI infrastructure investments [9] Group 4 - The current market rally in Hong Kong is seen as a necessary correction of extreme pessimism and undervaluation from the past three years [26][28] - The extreme undervaluation has set the stage for a recovery, with the potential for further growth if corporate earnings improve [27][30] - The future performance of the Hong Kong market will depend on the alignment of expectations and reality, particularly regarding economic data and corporate earnings [30]

Investment Rating - The report maintains a "Buy" rating for the power equipment sector [7][18]. Core Insights - The demand for overseas computing power has exceeded expectations, leading to a significant acceleration in the domestic ecosystem [5][6]. - The AI computing infrastructure is experiencing a dual resonance of supply and demand, with the liquid cooling server industry poised for a clear breakout point [15][16]. - Major cloud service providers are expected to invest heavily in liquid cooling technology due to the advanced process of the new generation of chips [5][15]. - The domestic AI industry chain is becoming increasingly competitive, with significant fundraising efforts by leading companies to enhance their capabilities [6][16]. Summary by Sections Investment Viewpoints - The report highlights strong AI beta resonance across various companies, from established overseas firms to domestic players [17]. - The power generation sector is identified as a logical area for growth, with specific recommendations for companies such as KOTAI Power and AIDC leasing firm Hongjing Technology [7][17]. Industry Dynamics - The report notes that the global capital expenditure for data center infrastructure is projected to reach $3-4 trillion over the next five years [15]. - Oracle's latest financial report anticipates a 77% surge in cloud infrastructure revenue, indicating robust market demand [5][15]. - The report also discusses the recent approval of large-scale fundraising by domestic AI companies, which is expected to enhance their competitive edge [6][16]. Key Companies and Earnings Forecast - The report provides a detailed earnings forecast for several companies in the power equipment sector, including: - KOTAI Power (Buy) - Yingweike (Buy) - Macromit (Buy) - Shunling Environment (Buy) - Hewei Electric (Buy) [10][20][19].

Group 1 - The core viewpoint is that artificial intelligence (AI) is a key driving force for future development in the technology industry, with significant innovation and investment opportunities expected to revolve around AI in the next five years [1][3] - The manager of the Huashang Leading Advantage Mixed Fund, Peng Wu, emphasizes the importance of selecting leading domestic computing power companies while closely monitoring their progress, as well as focusing on AI applications related to smart driving and 3C innovation [1][4] - In the North American market, there is a clear trend of AI applications forming a closed loop, as evidenced by the substantial growth in annual recurring revenue (ARR) of AI research companies and the increase in token usage [3][4] Group 2 - The domestic AI industry chain is actively breaking through challenges from the external environment, with domestic equipment making significant advancements in advanced process equipment and improving yield rates on advanced production lines [3][4] - The investment strategy involves a dual-line approach: one focusing on leading companies in A-shares that participate deeply in the North American supply chain, and the other on innovative fields such as upstream materials for PCB and optical modules [4] - The analysis indicates that the next wave of innovation driven by AI may lead to hardware transformations, similar to how the mobile internet revolution spurred the development of smartphones [4]

Group 1 - The core viewpoint emphasizes the strategic focus on the domestic AI industry chain by Huabao Fund, particularly through the launch of the Science and Technology Innovation Artificial Intelligence ETF [1] - The index related to the ETF has shown a significant increase, with a nearly 150% rise over the past year and over 143% since its inception [1] - The trading volume for the ETF has reached a new high, indicating strong market interest and participation [1] Group 2 - Four major investment logic points are highlighted, suggesting that the Science and Technology Innovation Board may experience a boost due to AI becoming a medium to long-term investment theme [1] - The article suggests that AI could lead to a catch-up rally in the market, indicating potential for further growth in this sector [1]

Market Overview - The market experienced fluctuations with mixed performance across the three major indices, with the Shanghai Composite Index rising by 0.13% and the Shenzhen Component and ChiNext indices falling by 0.06% and 0.47% respectively [1] - The trading volume in the Shanghai and Shenzhen markets reached 2.42 trillion yuan, an increase of 158 billion yuan compared to the previous trading day, marking the seventh consecutive day of trading volume exceeding 2 trillion yuan [1] Unusual Market Behavior - The market showed strong performance for most of the day but weakened towards the end, which is atypical for Thursdays, often referred to as "gold out days" where market sentiment tends to be cautious [3][4] - Despite the index rising, there was a notable divergence in individual stock performance, with over 3,000 stocks declining, indicating a "drought for some and flood for others" scenario [6] Sector Performance - Sectors such as oil and gas, digital currency, beauty care, and banking saw gains, while rare earth permanent magnets, PEEK materials, liquid cooling servers, and CPO sectors faced declines [1][8] - The AI industry, particularly domestic AI supply chains, showed independent growth, with notable performances from companies like ZTE and Cambricon [10][14] Notable Stocks - ZTE's stock saw significant activity, with a peak trading volume of approximately 50 billion yuan shortly after market opening, despite later fluctuations [11] - Cambricon reached a new historical high of 1,080.18 yuan, reflecting strong market interest and performance [15] Digital Currency Sector - The digital currency sector, including stablecoins, experienced a strong rally, with related sectors such as cross-border payments and blockchain also performing well [14][16] - Goldman Sachs reported that the stablecoin market is entering a new expansion phase, with potential market size reaching trillions of dollars, driven primarily by payment applications [16][17] Government Initiatives - The Chongqing municipal government issued a plan to enhance the digital renminbi service system and financial infrastructure, indicating a supportive regulatory environment for digital currencies [17]

Group 1 - Multiple high-performing products from China Europe Fund have announced purchase limits, with the limit for the China Europe Digital Economy fund being reduced to 100,000 yuan and then further down to 10,000 yuan [1] - The China Europe Medical Innovation fund and the China Europe Sci-Tech Innovation fund have also set purchase limits of 100,000 yuan and 10,000 yuan respectively [1] - Notable one-year returns for various funds include 149.64% for the China Europe Digital Economy fund, 86.19% for the China Europe Sci-Tech Innovation fund, and 84.49% for the China Europe Medical Innovation fund [1] Group 2 - Analysts suggest that limiting purchases during favorable market conditions can help maintain the effectiveness of investment strategies and protect the interests of fund holders [1] - The market outlook includes potential risks from short-term speculation, with a focus on the speed and effectiveness of AI model applications [2] - Key investment directions identified include AI infrastructure, AI applications, domestic AI supply chains, smart robotics, and intelligent driving [2] - The company remains optimistic about undervalued assets in both Hong Kong and A-shares, while highlighting risks from Western debt and geopolitical conflicts [2] - Specific sectors of interest include banking, non-banking financials, metals, engineering machinery, heavy trucks, construction, building materials, steel, aviation, textiles, and dining [2]