Core Insights - The report presents a systematic framework for automated factor research based on Large Language Models (LLM) and Prompt Engineering, aiming to explore the potential applications of AI in the entire quantitative investment chain [1] - The framework was first applied to low-frequency price-volume factors, optimizing the classic Alpha158 factor library and transitioning from an "optimization" paradigm to a "generation" paradigm [1] - AI demonstrated strong factor discovery capabilities in both fundamental and high-frequency data domains, successfully generating new factors and enhancing traditional factor libraries [1] - The report also explores AI's application in unstructured text analysis, utilizing the Gemini model to interpret sentiment from extensive research memos, creating unique sentiment indicators that effectively integrate into stock selection strategies [1] Group 1: Low-Frequency Price-Volume Factor Optimization - The framework was initially applied to the optimization of low-frequency price-volume factors, using the Alpha158 factor library as a foundation for optimization experiments [1] - AI identified logical flaws in original factors and proposed effective improvements, with optimization effects being consistent across multiple time windows from 5 to 60 days [1] - New factors generated by AI, with low correlation to sample factors, showed robust out-of-sample performance, with some factors achieving an Information Coefficient Information Ratio (ICIR) above 1.0 [1] Group 2: Fundamental and High-Frequency Factor Discovery - In the fundamental dimension, AI not only generated enhanced versions of classic factors but also innovatively expanded value, quality, and growth factors from novel perspectives [1] - In the high-frequency dimension, AI was empowered to directly generate Python code, uncovering a set of novel and high-performing high-frequency factors, with some strong signal factors achieving annualized returns exceeding 60% [1] - Integrating the AI-generated high-frequency factor library into the AGRU neural network model significantly improved annualized excess returns from 18.24% to 25.28% [1] Group 3: Alternative Data Processing and Sentiment Analysis - The report investigates AI's potential in processing alternative data, analyzing nearly one million words of research memos using the Gemini 2.5 Pro model [1] - A weekly sentiment factor was constructed, revealing unique asymmetric predictive capabilities, where negative sentiment strongly predicted future price declines, achieving annualized excess returns of 8.26% [1] - This sentiment factor exhibited low correlation with traditional price-volume and fundamental factors, serving as an independent and effective supplementary information source [1] Group 4: Comprehensive Strategy Development - A multi-dimensional information fusion strategy was developed, integrating AI-discovered high-frequency factors with low-frequency market data into the AGRU neural network to form a core Alpha [1] - The final strategy, enhanced by AI sentiment factors for risk adjustment, improved annualized excess returns from 11.15% to 11.81% while maintaining turnover rates [1] - The strategy demonstrated a significant increase in the information ratio from 2.18 to 2.31, validating AI's potential to empower quantitative research across multiple stages and achieve a "1+1>2" effect [1]

Investment Rating - The report maintains a positive outlook on the commercialization of Robotaxi, particularly for domestic L4 companies expanding internationally [2]. Core Insights - The global shared mobility market is undergoing a critical transition from human-driven to automated services, with significant regional disparities [2]. - North America is characterized by a duopoly of Uber and Lyft, with regulatory barriers hindering the entry of Chinese Robotaxi companies [2][11]. - Europe faces fragmented regulations and a technological gap, creating opportunities for a hybrid model combining American platforms with Chinese technology [2][11]. - The Middle East presents a unique opportunity with high customer spending, strong policy support, and low energy costs, making it an ideal market for Chinese companies [2][11]. - Southeast Asia has a large but low-margin ride-hailing market, where Robotaxi may struggle to achieve cost-effectiveness in the short term [2][11]. Summary by Sections Global Robotaxi Market Overview - The report highlights the dual nature of regulatory policies in overseas markets, which generally support Robotaxi development while imposing strict safety and operational requirements [7]. North American Shared Mobility Market - The North American ride-hailing market is dominated by Uber and Lyft, with a significant regulatory barrier for non-local Robotaxi companies [11][39]. - The market has evolved into a dual monopoly, with Uber holding a 76% market share and Lyft 24% as of March 2024 [45]. - The report notes that Waymo has established a dominant position in the Robotaxi market, with a fleet of approximately 2,500 vehicles and a weekly order volume exceeding 250,000 [58][60]. European Shared Mobility Market - The European market is characterized by high competition and stringent regulatory requirements, making entry challenging for foreign companies [11]. Middle Eastern Shared Mobility Market - The Middle East is seen as a blue ocean for Robotaxi, with significant government support and a unique market structure that favors shared mobility [11]. Southeast Asian Shared Mobility Market - The report indicates that the Southeast Asian market is dominated by local players, and Robotaxi may not be economically viable in the short term due to low customer spending [11]. Investment Opportunities - The report suggests focusing on the L4 RoboX industry chain, recommending investments in software and hardware companies, as well as downstream application and upstream supply chain players [2].

Investment Rating - The report recommends an "Overweight" rating for the gas turbine industry, anticipating a strong performance due to high demand and limited supply [5][73]. Core Insights - The gas turbine industry is expected to enter a new upward cycle driven by the accelerating demand for electricity from AI data centers, with a significant supply-demand mismatch [3][11]. - The global gas turbine market is dominated by major players such as Siemens, GE, and Mitsubishi, but there is substantial potential for domestic manufacturers to capture market share through localization and partnerships [3][25]. - The report highlights specific companies that are well-positioned to benefit from this trend, including Jereh, Yingliu, Haomai Technology, and Lande [3][73]. Summary by Sections 1. Industry Overview - The gas turbine industry is experiencing a significant upturn, characterized by a supply-demand mismatch, with global gas turbine orders exceeding 80 GW while actual deliverable capacity is below 50 GW [3][32]. - The demand for gas turbines is being driven by the rapid growth of AI data centers, which require reliable and stable power sources [3][11]. 2. Domestic Manufacturers - Domestic gas turbine manufacturers are expected to benefit from the increasing demand and the potential for localization of production [3][25]. - Jereh has secured substantial orders from leading AI companies, indicating strong market acceptance and growth potential [3][39]. - Yingliu is focusing on high-value turbine blades, which are critical components in gas turbines, and is well-positioned for growth as domestic production increases [3][57]. 3. Investment Recommendations - The report suggests focusing on companies with high order visibility and strong growth potential, such as Jereh for its gas turbine generator sets, Yingliu for turbine blades, Haomai Technology for turbine components, and Lande as a supplier to Caterpillar [3][73]. - The expected growth in the gas turbine market is supported by the increasing electricity demand from AI data centers and the limitations in supply capacity [3][32].

证券研究报告·公司深度研究·白酒Ⅱ 古井贡酒（000596） 定力足顺势充分纾压，韧性强筑底重拾升势 2026 年 01 月 09 日 买入（维持） | [Table_EPS] 盈利预测与估值 | 2023A | 2024A | 2025E | 2026E | 2027E | | --- | --- | --- | --- | --- | --- | | 营业总收入（百万元） | 20,254 | 23,578 | 18,705 | 19,146 | 21,119 | | 同比（%） | 21.18 | 16.41 | (20.67) | 2.35 | 10.30 | | 归母净利润（百万元） | 4,589 | 5,517 | 4,243 | 4,448 | 5,004 | | 同比（%） | 46.01 | 20.22 | (23.10) | 4.84 | 12.49 | | EPS-最新摊薄（元/股） | 8.68 | 10.44 | 8.03 | 8.42 | 9.47 | | P/E（现价&最新摊薄） | 15.66 | 13.03 | 16.94 | 16.16 | 14.37 | [Table_ ...

Macro Strategy - The report discusses the "K-shaped differentiation" in China's consumption market, highlighting the split between high-end quality consumption and high cost-performance consumption driven by changes in income structure and generational shifts [6][8] - The K-shaped differentiation reflects a shift in consumer behavior, where emotional value is increasingly prioritized alongside practical value, leading to diverse consumption choices [6][8] - Retailers are adapting to this differentiation by adjusting their brand strategies and product offerings to cater to both ends of the consumer spectrum [6][8] Fixed Income - The report analyzes the current state of urban investment bonds in Fujian Province, indicating a high-pressure regulatory environment aimed at consolidating debt reduction achievements [2][12] - Fujian's economic performance is solid, with a GDP of 57,761 billion yuan and a growth rate of 5.50% in 2024, alongside a strong fiscal position with a public budget revenue of 3,615.29 billion yuan [2][12] - The report suggests a strategy of "regional digging → duration selection → rating down" for investment in urban investment bonds, emphasizing the importance of extending durations and focusing on platforms with strong debt repayment capabilities [2][12] Industry Analysis - The report highlights the growth potential of Meili Tianyuan Medical Health (02373.HK), which has established a comprehensive ecosystem in beauty and health management, showing strong revenue growth and profitability [4][13] - The company is expected to achieve net profits of 3.1 billion, 4.1 billion, and 5.2 billion yuan from 2025 to 2027, with corresponding growth rates of 36.67%, 31.79%, and 25.86% [4][13] - MINIMAX-WP (00100.HK) is positioned as a benchmark for AI export from China, with projected revenues of 0.81 billion, 1.95 billion, and 3.99 billion USD from 2025 to 2027, reflecting a compound growth rate exceeding 130% [5][15]

Investment Rating - The report assigns a "Buy" rating for the company, marking its first coverage [1]. Core Insights - The company is positioned as a leading player in the high-end beauty and health management sector, with a well-established "Double Beauty + Double Health" ecosystem that drives growth through both organic and external expansion [8][13]. - The company has demonstrated strong revenue growth, with total revenue projected to increase from 21.45 billion in 2023 to 45.78 billion by 2027, reflecting a compound annual growth rate (CAGR) of 11.3% from 2020 to 2024 [25]. - The net profit attributable to shareholders is expected to rise from 2.16 billion in 2023 to 5.18 billion by 2027, with significant year-on-year growth rates [1][25]. Summary by Relevant Sections Company Overview - The company, established in 1993, has evolved from a lifestyle beauty business to a comprehensive beauty and health management service provider, encompassing traditional beauty, medical beauty, and sub-health assessment services [8][13]. - It has developed four major brands: Meili Tianyuan, Beili Shi, Xiuker, and Yanyuan, and has strengthened its market position through acquisitions of Nai Rui Er and Si Yan Li [13][20]. Financial Analysis - The company's revenue has shown resilience, increasing from 15.03 billion in 2020 to 25.72 billion in 2024, with a notable 28.2% growth in the first half of 2025 [25][28]. - The gross profit margin has improved from 46.57% in 2020 to 49.33% in the first half of 2025, indicating effective cost control and a higher proportion of high-margin services [28][30]. Industry Insights - The beauty and health management market is expected to grow significantly, with the traditional beauty market projected to reach 640.2 billion by 2030, and the light medical beauty market expected to expand to 415.7 billion [40][44]. - The sub-health medical service market is identified as a high-potential area, with a projected market size of 290 billion by 2030, driven by increasing awareness and demand for preventive health services [48][51]. Competitive Advantages - The company's business model leverages strong synergies between its various service lines, enhancing customer conversion rates and operational efficiency [8][13]. - The management team possesses extensive experience in the beauty and health industry, which supports the company's strategic initiatives and operational execution [22][24].

Group 1: Key Insights on "K-Shaped Consumption" - China's consumption market is experiencing a "K-shaped differentiation," characterized by high-end quality consumption on one end and high cost-performance consumption on the other[1] - The shift in consumer behavior reflects a growing emphasis on emotional value alongside practical value, moving away from a purely utilitarian perspective[1] - High-end luxury consumption is seeing significant growth, with Beijing SKP achieving a record revenue of 26.5 billion yuan in 2023, reflecting a compound annual growth rate of approximately 7.5%[13] Group 2: Factors Driving "K-Shaped Differentiation" - The change in consumer ideology is driven by generational shifts and macro policies that increasingly focus on "investing in people" rather than just material goods[3] - The Z generation and younger elderly populations are becoming the main consumer force, prioritizing emotional satisfaction over mere functionality in their purchasing decisions[23] - Retailers are adapting to this differentiation by offering both high-end and low-cost products, as seen with brands like Xiaomi and BYD, which cater to both ends of the market[21] Group 3: Implications and Risks - The "K-shaped differentiation" is reshaping the underlying logic of China's consumption market, influencing regional economic growth and industrial structure adjustments[11] - Risks include potential delays in supportive policies for new consumption, exacerbated impacts from real estate adjustments, and slowing growth in household income affecting overall consumption[36]

Group 1: Global Market and New Energy Penetration Forecast - The overall global passenger car sales are projected to reach 9,015 million units by 2026, with a growth rate of 1.7% year-on-year [16] - In Europe, the new energy penetration rate is expected to exceed 30% by 2026, driven by the launch of affordable models and the reintroduction of subsidies [2][34] - Southeast Asia is anticipated to see a new energy penetration rate of 19% in 2026, with significant contributions from Chinese automakers and local manufacturers [2][37] Group 2: Chinese Automakers' Global Market Share Forecast - The potential export market for Chinese automakers is estimated at 27 million units, with an export potential of approximately 9.08 million units by 2025 [3][5] - The market share ceiling for Chinese brands in regions prioritizing local brand development is expected to be lower compared to markets that do not emphasize local brand cultivation [5] - By 2025, the export share of new energy vehicles is projected to reach 42%, with BYD being a major contributor to this growth [3] Group 3: Export Predictions for Automakers - BYD is expected to have a high market match across most regions, particularly in Oceania and the UK, where there are minimal structural constraints [9] - Chery's core markets with the highest external environment match include Russia, Central Asia, and the Middle East, while the EU market presents more constraints [9] - Great Wall Motors is well-positioned in markets with stable demand for SUVs and pickups, particularly in the Middle East and Africa [9] Group 4: Investment Recommendations - The report suggests prioritizing investment in automakers with mature overseas systems and proven execution capabilities, specifically recommending BYD, Great Wall Motors, and Chery [11] - The export volume of various automakers is expected to increase significantly, with Chery projected to have an export share of 42% by 2026 [10] - The overall export volume for Chinese automakers is forecasted to reach 745,000 units by 2027, with a year-on-year growth rate of 13% [12]

Investment Rating - The report does not provide a specific investment rating for the company [1]. Core Insights - MiniMax is positioned as a benchmark for AI expansion in China, focusing on multi-modal development to build competitive large models for the global market [7]. - The company has adopted a dual-driven business model (ToC and ToB), with consumer products generating significant cash flow and enterprise services providing high margins [7]. - MiniMax's revenue is projected to grow significantly, with estimates of $80.88 million in 2025 and $398.66 million in 2027, reflecting a compound annual growth rate of over 130% [7]. - The company has a strong global execution capability, with products covering over 2.12 billion personal users and more than 100,000 enterprise clients across 200 countries [7]. Summary by Sections Company Overview - MiniMax was established in December 2021, focusing on general AI technology development and aiming for global market presence [12]. - The company has raised over $1.5 billion in funding, with notable investors including Alibaba and Xiaomi, which supports its high R&D intensity [12][13]. - As of September 2025, MiniMax has a workforce of 385 employees, predominantly young and tech-focused, enhancing its execution efficiency [12]. Business Model - The company operates a dual-driven model, with consumer business leading in scale and cash flow, while developer enterprise business supports high margins [30]. - Consumer products include Talkie and Hailuo AI, which have shown strong performance in overseas markets, particularly in North America [31][34]. - Developer enterprise business generates revenue through API calls and model licensing, with a significant increase in paid clients from 400 in 2024 to approximately 2,500 in 2025 [39]. Technology Route and Competitive Advantages - MiniMax's core technology strategy is based on a multi-modal architecture, focusing on language, vision, and speech models [43]. - The company emphasizes a system engineering approach, ensuring high efficiency in model training and deployment [44][46]. - MiniMax's ability to rapidly iterate and improve its models positions it favorably against competitors, as it can unlock new application scenarios with each model upgrade [47][48].

Investment Rating - The report assigns a "Buy" rating for the company, marking its first coverage [1]. Core Insights - The company is a leading provider of integrated smart cockpit solutions, having successfully transitioned from a focus on vehicle networking systems to smart cockpit solutions since 2018, solidifying its position in the industry [8][13]. - The penetration rate of smart cockpits in domestic and global passenger vehicles is steadily increasing, with projections indicating a rise in China's market penetration from 35.3% in 2019 to 75.9% by 2025, and globally from 38.4% to 59.4% in the same period [8][42]. - The company's revenue growth is primarily driven by the increasing orders for high-end domain controllers, with expectations of a turnaround in net profit by 2025 [8][49]. Summary by Sections Company Overview - The company was established in 2009 and initially focused on vehicle networking systems, later shifting its focus to integrated software, hardware, and cloud services for smart cockpit solutions [8][13]. - It has established six R&D centers and three manufacturing bases, serving over 50 automotive brands, with Li Auto being a key customer driving revenue growth [8][22]. Market Position and Growth - The domestic and global market for smart cockpit solutions is rapidly expanding, with the Chinese market expected to grow from 129 billion RMB in 2024 to 299.5 billion RMB by 2029, reflecting a compound annual growth rate (CAGR) of 18.4% [42][48]. - The company has formed deep partnerships with Qualcomm and Huawei, enhancing its competitive edge in high-end domain controller products [8][56]. Financial Projections - Revenue forecasts indicate significant growth, with total revenue expected to reach 34.58 billion RMB in 2025, 54.52 billion RMB in 2026, and 78.39 billion RMB in 2027, alongside a projected net profit turnaround in 2025 [1][8]. - The company has shown a consistent increase in revenue since 2021, with a compound annual growth rate of 43.5% from 2021 to 2024 [26][30]. Product Development and Strategy - The company emphasizes a "software + hardware + cloud" self-research system, developing core technologies that support the scalability and customization of its smart cockpit solutions [61]. - The high-end domain controller product ratio is increasing, with shipments rising from 1.5% in 2023 to 51.1% in early 2025, indicating a shift towards higher-value products [64].