Group 1 - The report indicates that trading activity has increased, with the CSI 1000 index leading the gains among broad market indices [1][4] - Valuations across indices have risen, with the CSI 1000 showing a significant increase of 7.4 percentage points in PE-TTM historical percentiles and 9.6 percentage points in PB-LF historical percentiles [4][5] - In terms of industry valuations, the home appliance sector leads in PE valuation increases, while the coal sector leads in PB valuation increases, with coal rising by 7.9 percentage points [4][5] Group 2 - The report highlights that sentiment indicators show a rise in trading activity, with turnover rates and transaction volumes increasing across indices, particularly the SSE 50, which saw a turnover rate increase of 159.5% and a transaction volume increase of 69.8% [4][31] - Margin trading balances have also increased, reaching 2.62 trillion yuan as of January 8, 2026, a rise of 3.15% compared to December 31, 2025 [4][32] - The report notes a slight decrease in the equity risk premium (ERP), which stands at 3.96%, down by 0.20 percentage points from December 31, 2025 [4][28]

Investment Rating - The report does not explicitly provide an investment rating for the AI industry Core Insights - The AI industry is experiencing significant advancements, with multiple companies releasing innovative products and models, indicating a robust growth trajectory in the sector [1][5][9][14][18] - The Chinese government is actively promoting AI integration in manufacturing, aiming to establish a leading position in AI technology and applications by 2027 [5] - Major companies like Lenovo and Tencent are launching new AI models and platforms, enhancing the capabilities and applications of AI in various fields [8][15][18] Summary by Sections 1. AI Industry Dynamics - The Ministry of Industry and Information Technology and other departments have issued guidelines for the "Artificial Intelligence + Manufacturing" initiative, targeting the development of core AI technologies and industry applications by 2027 [5] - In 2026, over 30 national standards related to data in AI will be introduced, focusing on areas like intelligent agents and embodied intelligence [6] - The Sichuan provincial government has launched a plan to develop a national digital economy innovation zone, aiming to enhance digital infrastructure and promote the growth of digital industries [7] 2. AI Application Insights - LuKe announced the global launch of the "Air Charging AI Smart Lock V7 Max" at CES 2026, featuring technology for continuous power supply [10] - Yushun released training videos for its humanoid robot Unitree H2, showcasing advanced capabilities [11] - DeepTing released the world's first dual-wheeled outdoor companion robot Rovar, designed for various outdoor scenarios [12] - Rokid introduced the "Style" AI glasses at CES 2026, featuring a dual-chip architecture and 4K video capabilities [13] 3. AI Large Model Insights - Alibaba Tongyi has released and open-sourced the Qwen3-VL-Embedding and Qwen3-VL-Reranker models, designed for multimodal information retrieval and understanding [14] - Tencent launched the HY-Motion1.0 model, a significant advancement in 3D character animation generation [15] - Xiaopeng unveiled its second-generation VLA model, marking a shift towards practical applications of physical AI technology [16][17] - Lenovo introduced the Lenovo Qira personal super intelligent agent, emphasizing cross-device functionality and personalized services [18] 4. Technology Frontiers - Alibaba Cloud launched a new multimodal interaction development kit, integrating various foundational models for diverse applications [19] - Tsinghua University published a paper on an AI-driven drug virtual screening platform, significantly improving screening speed and accuracy [20] - Chinese scientists made progress in cancer immunotherapy, developing a protein-targeting degradation technology [21] - A team from the University of Science and Technology of China achieved advancements in heterogeneous quantum communication networks [22]

Investment Rating - The report assigns an "Accumulate" rating for the industrial gas industry [1]. Core Insights - The average price of liquid argon continues to show a year-on-year increase, while rare gases are experiencing low-level fluctuations in weekly prices. Notable events include the opening of Qidong Jinhong and Nanda Optoelectronics' plan to increase its stake in its Ulanqab subsidiary to enhance its electronic specialty gas business [2][4]. Summary by Sections Price Trends - Liquid argon has an average price of 1191 RMB/ton, reflecting a 1.43% decrease week-on-week but a significant 113.84% increase year-on-year. Other gases show varied trends: - Liquid oxygen: 335 RMB/ton, down 3.18% week-on-week, down 8.7% year-on-year - Liquid nitrogen: 363 RMB/ton, down 1% week-on-week, down 5% year-on-year - Rare gases such as high-purity helium and xenon also show declines in price [4][5]. Production Capacity - The average operating load rate for China's industrial gas sector is reported at 66.73%, which is a decrease of 1.88 percentage points week-on-week [6]. Key Events - The opening ceremony of Qidong Jinhong took place on January 10, 2026, aimed at providing high-quality gas products and solutions for key industries in the region. Additionally, Nanda Optoelectronics plans to invest 77.6 million RMB to acquire an additional 16.17% stake in its Ulanqab subsidiary, increasing its ownership to 91.05% [4][5]. Recommended Stocks - The report recommends stocks such as Hangyang Co., Ltd. and Shaangu Power, with related stocks including Zhengfan Technology, Fostar, and Zhongtai Co., Ltd. [4].

Quantitative Models and Construction Methods - **Model Name**: CSI 300 Enhanced Portfolio **Model Construction Idea**: The model aims to enhance the performance of the CSI 300 Index by leveraging quantitative strategies to generate excess returns over the benchmark index[5][9][15] **Model Construction Process**: The portfolio is constructed by applying quantitative stock selection and weighting methodologies to the CSI 300 Index constituents. The process involves identifying stocks with favorable factor exposures and optimizing the portfolio to maximize risk-adjusted returns while maintaining a low tracking error relative to the benchmark[9][15] **Model Evaluation**: The model demonstrated strong performance with positive excess returns over the benchmark index, indicating effective factor utilization and portfolio construction[15] - **Model Name**: CSI 500 Enhanced Portfolio **Model Construction Idea**: Similar to the CSI 300 Enhanced Portfolio, this model focuses on enhancing the performance of the CSI 500 Index by employing quantitative strategies[5][9][15] **Model Construction Process**: The portfolio is built by selecting stocks from the CSI 500 Index based on quantitative factors and optimizing the portfolio to achieve excess returns while controlling tracking error[9][15] **Model Evaluation**: The model underperformed the benchmark index during the observed period, suggesting potential challenges in factor effectiveness or market conditions[15] - **Model Name**: CSI 1000 Enhanced Portfolio **Model Construction Idea**: This model targets the CSI 1000 Index, aiming to generate excess returns through quantitative enhancements[5][9][15] **Model Construction Process**: The portfolio construction involves selecting stocks from the CSI 1000 Index using quantitative factors and optimizing the portfolio for risk-adjusted returns and low tracking error[9][15] **Model Evaluation**: The model showed a slight underperformance relative to the benchmark index, indicating room for improvement in factor application or portfolio optimization[15] - **Model Name**: GARP Portfolio **Model Construction Idea**: The GARP (Growth at a Reasonable Price) portfolio combines growth and valuation factors to identify stocks with strong growth potential at reasonable valuations[32] **Model Construction Process**: Stocks are selected based on a combination of growth metrics (e.g., earnings growth) and valuation metrics (e.g., price-to-earnings ratio). The portfolio is then optimized to balance growth and valuation exposures[32] **Model Evaluation**: The portfolio achieved positive excess returns over the CSI 300 Index, demonstrating the effectiveness of the GARP strategy in the observed period[32] - **Model Name**: Small-Cap Growth Portfolio **Model Construction Idea**: This portfolio focuses on small-cap stocks with strong growth characteristics, aiming to capture the growth premium in the small-cap segment[37] **Model Construction Process**: Stocks are selected from the small-cap universe based on growth factors such as earnings growth and revenue growth. The portfolio is optimized to maximize growth exposure while managing risk[37] **Model Evaluation**: The portfolio delivered positive excess returns over the micro-cap index, indicating the effectiveness of the growth factor in the small-cap segment[37] Model Backtesting Results - **CSI 300 Enhanced Portfolio**: Weekly return 4.69%, excess return 1.90%, tracking error 4.71%, maximum drawdown 1.68%[9][15][22] - **CSI 500 Enhanced Portfolio**: Weekly return 6.34%, excess return -1.58%, tracking error 4.07%, maximum drawdown 3.11%[9][15][16] - **CSI 1000 Enhanced Portfolio**: Weekly return 6.17%, excess return -0.86%, tracking error 5.31%, maximum drawdown 4.45%[9][15][18] - **GARP Portfolio**: Weekly return 3.62%, excess return 0.84%, tracking error 13.93%, maximum drawdown 4.04%[32][33] - **Small-Cap Growth Portfolio**: Weekly return 4.95%, excess return 0.49%, tracking error 11.60%, maximum drawdown 9.76%[37][40] Quantitative Factors and Construction Methods - **Factor Name**: Market Capitalization (Size) Factor **Factor Construction Idea**: This factor captures the size effect, where smaller companies tend to outperform larger companies over time[42] **Factor Construction Process**: Stocks are ranked by their market capitalization, and the top 10% (large-cap) and bottom 10% (small-cap) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the size factor's performance[41][42] **Factor Evaluation**: The factor showed mixed performance, with large-cap stocks outperforming small-cap stocks in the observed period[42] - **Factor Name**: Price-to-Book Ratio (PB) Factor **Factor Construction Idea**: This factor identifies undervalued stocks based on their price-to-book ratios[42] **Factor Construction Process**: Stocks are ranked by their PB ratios, and the top 10% (high PB) and bottom 10% (low PB) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the PB factor's performance[41][42] **Factor Evaluation**: The factor underperformed during the observed period, with high PB stocks outperforming low PB stocks[42] - **Factor Name**: Expected Net Profit Adjustment Factor **Factor Construction Idea**: This factor captures the impact of expected net profit adjustments on stock performance[53] **Factor Construction Process**: Stocks are ranked by their expected net profit adjustments, and the top 10% (high adjustment) and bottom 10% (low adjustment) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the factor's performance[41][53] **Factor Evaluation**: The factor delivered positive returns, indicating its effectiveness in identifying stocks with favorable profit adjustments[53] Factor Backtesting Results - **Market Capitalization (Size) Factor**: Multi-market excess returns: -0.79% (All Market), 4.83% (CSI 300), -5.59% (CSI 500), -2.47% (CSI 1000)[42][43][48] - **Price-to-Book Ratio (PB) Factor**: Multi-market excess returns: -4.01% (All Market), -5.52% (CSI 300), -6.06% (CSI 500), -5.68% (CSI 1000)[42][43][48] - **Expected Net Profit Adjustment Factor**: Multi-market excess returns: 0.57% (All Market), 0.86% (CSI 300), 1.89% (CSI 500), -0.58% (CSI 1000)[53][54][55]

Investment Rating - The report maintains an "Overweight" rating for the real estate industry [2][5] Core Insights - Recent real estate transactions have declined due to external uncertainties, but future policies are expected to mitigate these negative impacts and stabilize the market [2][5] - The report highlights a significant drop in new home sales across major cities, with a 67.4% decrease week-on-week and a 46.3% decrease year-on-year for the 30 major cities [5][10] - The land transaction volume also showed a decline, with a total land supply area of 13.38 million square meters and a transaction area of 12.19 million square meters, reflecting a supply-to-sales ratio of 1.10 [4][10] Summary by Sections Transaction Data - In the second week of 2026, new home sales in 30 major cities amounted to 1.03 million square meters, down 67.4% from the previous week and down 46.3% year-on-year [5][10] - First-tier cities recorded a sales area of 320,000 square meters, a decrease of 54.9% week-on-week and 50% year-on-year [5][10] - Second-tier cities saw a sales area of 460,000 square meters, down 76.9% week-on-week and 41% year-on-year [5][10] - Third-tier cities had a sales area of 260,000 square meters, down 46.3% week-on-week and 50.6% year-on-year [5][10] Land Transaction Data - The total land supply area for the year to date in the top 100 cities is 2.37 million square meters, down 12% year-on-year, while the cumulative transaction area is 4.694 million square meters, down 23.2% year-on-year [4][10] - The total land transfer revenue reached 36.2 billion yuan, reflecting a year-on-year decrease of 31.9% [4][10] - The land premium rate was recorded at 0.5%, a decrease of 1.69 percentage points from the previous week [4][10] Inventory and Market Dynamics - The available housing inventory in 35 cities was 31.526 million square meters, down 1.07% month-on-month and down 2.03% year-on-year [10][12] - The inventory clearance cycle for these cities increased to 26.17 months, up 5.64% month-on-month and up 23.51% year-on-year [10][12]

Investment Rating - The report does not explicitly provide an investment rating for the AI industry Core Insights - NVIDIA has announced the expansion of its open-source model library, contributing the largest open-source dataset globally, which includes 100 trillion language training tokens and 100TB of vehicle sensor data, aimed at accelerating AI innovation across various sectors [3] - Marvell's acquisition of XConn is expected to enhance its capabilities in high-speed switching chip technology, allowing better market positioning in PCIe and CXL switching [4] - NAVER has built the largest AI computing cluster in South Korea, integrating 4000 NVIDIA B200 AI GPUs, significantly improving AI model training efficiency [5] - DeepMind and Boston Dynamics are collaborating to integrate the Gemini Robotics model into Atlas and Spot robots, focusing on real-world interaction and learning in dynamic environments [6] - OpenAI has launched the ChatGPT Health mode, designed to facilitate secure discussions about health issues while isolating sensitive information from general conversations [12] - NVIDIA has introduced the Rubin platform, featuring six new chips designed for advanced AI computing, aiming to lower costs and accelerate mainstream AI adoption [18] Summary by Sections AI Industry Dynamics - NVIDIA's contribution includes a vast open-source dataset across language, robotics, autonomous driving, and healthcare, marking a significant step in building an open ecosystem for AI [3] - Marvell's acquisition of XConn is set to enhance its technology in PCIe and CXL switching, with the deal expected to close in 2026 [4] - NAVER's new AI computing cluster can train a 72 billion parameter AI model in just 1.5 months, a significant improvement over the previous system [5] AI Application Insights - D.O.N is set to launch the world's first belt-type wearable device, VITAL BELT, which can monitor health metrics through clothing [7] - MSI's MEG X monitor integrates AI gaming features to enhance user experience, including AI-assisted gaming functionalities [9] - LG has showcased the CLOiD AI robot designed for home environments, capable of interacting with users and controlling smart home devices [10] - Amazon has launched a web-based version of its Alexa+ AI assistant, allowing seamless access across devices [11] AI Large Model Insights - OpenAI's ChatGPT Health mode aims to provide a secure platform for health discussions, isolating sensitive information from regular chat logs [12] - Universal Music is collaborating with NVIDIA to leverage AI in music discovery and creation, marking a significant industry partnership [13] - Google has integrated the Gemini AI solution into Gmail, enhancing email management for its 3 billion users [14] Technology Frontiers - NVIDIA's Rubin platform is designed to create advanced AI systems at lower costs, featuring a collaborative design of six new chips [18] - AMD's upcoming MI500 AI accelerator will utilize 2nm technology, promising higher performance compared to previous models [20] - ODINN has developed a compact AI supercomputer that offers high-level computing power without the need for extensive data center infrastructure [21]

Investment Rating - The report assigns an "Accumulate" rating for the sodium-ion battery industry, indicating a positive outlook for investment opportunities in this sector [4]. Core Insights - The formal implementation of the "Technical Requirements for Sodium-ion Batteries for Energy Storage" group standard marks a new phase in the standardization of sodium-ion batteries in China, suggesting that the sodium battery industry chain has completed its initial setup and is expected to enter a period of scale expansion [2]. - Sodium batteries are anticipated to become an effective complement to lithium batteries, with cost advantages becoming more apparent as lithium carbonate prices rise. The comprehensive material costs of sodium batteries are projected to be 30%-40% lower than those of lithium batteries after industrialization [4]. - The sodium battery industry is expected to experience significant scale expansion, with companies like CATL launching new sodium-ion battery brands that can compete with lithium iron phosphate batteries in terms of energy density and performance [4]. Summary by Sections Industry Overview - The sodium-ion battery industry is entering a new stage of standardization with the approval of the group standard, which will take effect on February 1, 2026. This standard covers various aspects such as terminology, testing methods, and storage [4]. Investment Recommendations - The report suggests that companies involved in the sodium-ion battery supply chain are likely to benefit first from the industry's growth. Recommended stocks include CATL, Rongbai Technology, and Zhongwei Co., with related stocks such as Dingsheng New Materials and Zhenhua New Materials also highlighted [4]. Financial Projections - Financial forecasts for key companies in the sodium battery sector indicate positive earnings growth, with CATL expected to have an EPS of 19.29 yuan per share in 2026, and Rongbai Technology projected to reach an EPS of 1.02 yuan per share in the same year [5].

Investment Rating - The report assigns an "Accumulate" rating for the robotics industry [3][4]. Core Insights - The CES 2026 highlighted the trend of embodied intelligence scaling, showcasing the strength of Chinese enterprises in this field [2]. - The focus for future investments is on the application of embodied intelligence, particularly in the "perception-decision-execution" loop, which is expected to create new hardware demands [3]. - Human-shaped robots are identified as a key carrier of embodied intelligence, with companies achieving technological breakthroughs and domestic replacements poised for significant growth potential [3]. - The shift from "digital intelligence" to "embodied intelligence" emphasizes the tangible results of AI, with CES 2026 themed "AI Inside Every Hardware" indicating a transition towards physical AI applications [3]. - Major semiconductor companies like NVIDIA, AMD, and Intel showcased new products, indicating a competitive focus on the deployment of edge AI and large-scale AI infrastructure [3]. - The report notes that human-shaped robots have demonstrated operational capabilities in unstructured environments and are beginning to be utilized in factory settings [3]. - The competition landscape is evolving, with over 4,100 exhibitors at CES, including 1,141 from China, highlighting the significant role of Chinese tech companies [3]. - Key players in the human-shaped robot sector, such as Yushun and Zhiyuan, are focusing on self-research and commercialization of core components [3]. - The hardware pathway for embodied intelligence is becoming clearer, with core supply chain segments starting to benefit, although the industry remains in the early stages of commercialization [3]. Summary by Sections Investment Recommendations - The report recommends focusing on companies like Hengli Hydraulic and Changying Precision, which are expected to benefit from the trends in embodied intelligence [3][4]. Market Dynamics - The report emphasizes the importance of two key validation points: the mass production progress and cost control of human-shaped robots like Tesla's Optimus, and whether AI-enabled terminal products can drive consumer demand for upgrades [3]. Financial Projections - Financial forecasts for recommended companies include: - Changying Precision: EPS of 0.48 in 2025E, increasing to 1.22 in 2027E, with a PE ratio decreasing from 92.67 in 2025E to 36.46 in 2027E [4]. - Hengli Hydraulic: EPS of 2.09 in 2025E, increasing to 2.86 in 2027E, with a PE ratio decreasing from 55.12 in 2025E to 40.28 in 2027E [4].

Investment Rating - The industry investment rating is "增持" (Buy), indicating a positive outlook compared to the benchmark index [45]. Core Insights - In December 2025, U.S. apparel consumption showed resilience despite a high base from the previous year, with a slight year-on-year decline of 0.1% in air travel passengers [4][5]. - Fast Retailing reported FY26Q1 results that exceeded expectations, with revenue of 1,027.7 billion JPY, a year-on-year increase of 14.8%, and a net profit of 147.4 billion JPY, up 11.7% [4][5]. - The report highlights three main investment lines in the domestic market: focusing on quality leaders with low valuations, light luxury brands benefiting from structural growth, and low-valuation high-dividend companies [5]. Summary by Sections Industry Data Tracking - In November 2025, China's retail sales of clothing increased by 4.5%, while textile exports decreased by 5.2% [18][21]. - The U.S. retail data for December 2025 showed a same-store sales growth of 3.1%, with apparel and accessories stores also growing by 3.1% [5][21]. Key Announcements and News - Fast Retailing's performance in FY26Q1 was driven by strong sales across all regions, with notable growth in North America and Europe [4][5]. - The report mentions that Nike executives have recently purchased shares, signaling confidence in the company's recovery [38][39]. Recommended Stocks and Valuation Forecasts - Recommended stocks include Anta Sports, Li Ning, and Xtep International, all rated as "增持" (Buy) with projected PE ratios decreasing over the next few years [16][18]. - The textile and apparel sector's current PE ratio is 20.80, which is below the historical average of 24.59 [17].

Investment Rating - The report assigns an "Accumulate" rating for the industry [1] Core Insights - The report recommends focusing on sectors such as the travel industry chain, gold and jewelry, and AI applications [3] - The investment highlights include the ongoing recovery in consumer spending, particularly in tourism and retail sectors, driven by favorable policies [4] Summary by Relevant Sections Investment Highlights - Key companies to watch include OTA platforms (Ctrip, Tongcheng), hotels (Atour, Huazhu, ShouLai, JinJiang, JunTing), and scenic spots (Emei Mountain, Three Gorges Tourism, Changbai Mountain) [4] - Significant improvement in competitive landscape noted for companies like Caibai Co. and Huatu Shanding [4] - AI application trends are gaining momentum with companies such as Kangnait Optical, Qingmu Technology, Tianli International Holdings, and Focus Technology [4] - Impressive sales data in the duty-free sector, particularly for China Duty Free Group [4] - Other undervalued companies highlighted include Laopu Gold, Sumida, Jiangsu Guotai, Action Education, and China Oriental Education [4] Market Performance - The retail sector saw a 4.43% increase last week, while the consumer services sector rose by 2.54%, ranking 13th and 21st among 30 industries respectively [4] - Notable stock performances included Focus Technology (+16.4%), Tianli International Holdings (+15.5%), and JunTing Hotel (+12.1%) [4] Industry Updates - The report provides updates on key industry metrics, including a 128.9% year-on-year increase in sales during the New Year holiday for Hainan's duty-free shopping [4] - The CPI data for December 2025 showed a year-on-year increase of 0.8% [4] - The CES 2026 event in Las Vegas featured over 50 Chinese brands showcasing smart glasses [4] - IKEA China announced the closure of seven large stores starting February 2, 2026, shifting focus to smaller stores and online channels [4]