Investment Rating - The report maintains an "Accumulate" rating for the company [4] Core Views - The company's profitability continues to improve, with significant revenue growth driven by AI empowerment [1][2] - The company has achieved a year-on-year revenue increase of 106.3% in Q1 2025, reaching 2.25 billion yuan, and has turned a profit with a net profit of 120 million yuan [1] - The company is focusing on enhancing its self-developed product coverage to increase operational profits [3] Financial Performance - In 2024, the company reported a revenue of 7.95 billion yuan, a year-on-year increase of 27.6%, but a net loss of 115 million yuan [1][6] - The projected net profits for 2025, 2026, and 2027 are estimated at 168 million yuan, 229 million yuan, and 343 million yuan respectively, with corresponding P/E ratios of 69.9, 51.3, and 34.3 [4][6] - The company’s R&D investment in 2024 was 240 million yuan, with 89 patents applied for and 41 patents granted [2] Product Development and Market Position - The company has developed a full-stack AI product system, including various large models for traffic management and smart city solutions [2][3] - The self-developed product coverage in smart rail transit continues to increase, providing efficient and intelligent solutions for core scenarios [3] - The company is enhancing its capabilities in AI technology, which is expected to continue empowering its existing business scenarios [4]

Investment Rating - The report maintains an "Accumulate" rating for the company [4] Core Views - The company's profitability continues to improve, with significant revenue growth and a return to profit in the first quarter of 2025, achieving operating revenue of 2.25 billion and a net profit of 120 million [1] - The rapid iteration of large models and their accelerated application in the transportation sector, supported by high R&D investment, is expected to enhance competitive barriers [2] - The company is focusing on increasing the coverage of self-developed products to enhance operational profits, particularly in smart rail transit and urban traffic management [3] Financial Summary - In 2024, the company achieved operating revenue of 7.95 billion, a year-on-year increase of 27.6%, with a net profit of -115 million [6] - The projected net profits for 2025, 2026, and 2027 are estimated at 168 million, 229 million, and 343 million respectively, with corresponding P/E ratios of 69.9, 51.3, and 34.3 [4][6] - The company’s R&D investment in 2024 was 240 million, with 89 patents applied for and 41 patents granted, reinforcing its intellectual property barriers in AI [2]

Investment Rating - The industry investment rating is maintained as "Accumulate" [5] Core Viewpoints - The travel and tourism sector shows significant growth, with domestic travel during the May Day holiday reaching 314 million trips, a year-on-year increase of 6.4%, and a 36.4% increase compared to 2019 [1] - The average spending per traveler during the holiday was 574 yuan, reflecting a 1.5% year-on-year increase [1] - The overall retail and catering sales during the holiday increased by 6.3% year-on-year, indicating sustained consumer market vitality [4] Summary by Sections Travel and Tourism - Popular scenic spots saw substantial visitor increases, with notable growth in ticket sales and revenue for various attractions [2] - Long-distance travel destinations in western China experienced ticket sales growth of 100-200% year-on-year [3] - Outbound travel orders increased by 20% year-on-year, while inbound travel orders surged by 130% due to favorable policies [3] Hotel and Accommodation - Hotel bookings during the May Day holiday increased by 24.93% year-on-year, with average booking prices for economy hotels rising compared to last year [2] - High occupancy rates were reported in various regions, particularly in second and third-tier cities [2] Retail and Consumer Spending - Key retail and catering enterprises reported a year-on-year sales increase of 8.7% during the holiday [4] - Specific sectors such as home appliances, automobiles, and communication equipment saw sales growth of 15.5%, 13.7%, and 10.5% respectively [4] - The overall consumer market remains vibrant, with significant increases in foot traffic and sales in major cities [7] Investment Opportunities - The report highlights potential investment opportunities in hotel and tourism companies such as Huazhu Group, Jinjiang Hotels, and Xiangyuan Culture Tourism [8] - The retail sector is expected to benefit from ongoing policy support, with companies like Yonghui Supermarket and Chongqing Department Store identified as key players [8]

目前灵巧手的传动方案主要包括传统的连杆传动、齿轮传动、腱绳传动。 其中连杆传动、齿轮传动存在结构复杂、重量大、柔性不足、空间配置要 求高、远距离控制困难等劣势。腱绳传动通过模拟人手"肌腱"结构，使 得大型的驱动器远离了执行机构，减轻末端的负载和惯量，提升了抓取的 速度、精度。同时，腱绳传动布局灵活，在轻量化的同时适合空间狭小且 需要驱动自由度数目较多的传动场景。 机器人腱绳的市场空间有多大？2024 年 10 月，特斯拉发布第三代人形机 器人 Optimus GEN-3，其灵巧手采用行星齿轮箱+丝杠+腱绳结构，自由 度由 11 个翻倍提升至 22 个。我们测算 22 自由度下腱绳单机价值量约 3520 元，1000 万台人形机器人出货量对应腱绳市场规模达 352 亿元。 伴随方案渗透以及降本，腱绳在灵巧手以外关节等环节应用值得期待。 基础化工 机器人腱绳：渗透加速，重视超高分子量聚乙烯 机器人腱绳赋能灵巧手灵活度、轻量化，渗透前景广阔。据中国信息通信 研究院预测：2045 年我国人形机器人将步入 Lv5 阶段，对应市场规模达 10 万亿级别。灵巧手作为一种新型的末端执行器逐步替代传统夹持器，在 人形机器人与环 ...

Investment Rating - The industry maintains a rating of "Add" [6] Core Viewpoints - The textile and apparel industry is expected to recover in 2024, with a focus on quality brands in 2025. The apparel brands are projected to face profit pressure in 2024, with a slight improvement anticipated in Q1 2025 [1][4] - The textile manufacturing sector shows stable growth, with a significant profit increase driven by improved capacity utilization. The impact of recent tariff changes may accelerate industry optimization in the medium to long term [2][4] - The gold and jewelry sector exhibits performance divergence, with brands that focus on store expansion and product differentiation outperforming the industry average [3][4] Summary by Sections 1. Apparel Brands - In 2024, the revenue of key apparel companies (A-shares only) is expected to decline by 2.2%, with a net profit drop of 24.1%. The decline in profit is more significant than revenue due to negative operating leverage and increased expense ratios [1][21] - The gross margin for key apparel companies is projected to increase by 0.4 percentage points to 56.8% in 2024, with a further increase of 1.1 percentage points to 57.4% in Q1 2025 [1][33] - Cash flow for most brands in 2024 is expected to align with performance, maintaining a high dividend payout ratio [1][49] 2. Textile Manufacturing - The textile manufacturing sector is projected to see a revenue increase of 6.4% and a net profit growth of 26.9% in 2024, with leading companies like Shenzhou International and Huayi Group showing revenue growth rates of 15% and 19% respectively [2][4] - The revenue growth for key textile manufacturing companies is expected to slow down in Q4 2024 and Q1 2025 due to high base effects, but overall performance remains stable [2][4] - The sector is expected to benefit from a more integrated and internationalized supply chain, particularly for leading companies [2][4] 3. Gold and Jewelry - The gold and jewelry sector is expected to see a revenue decline of 1.7% in 2024, with a net profit increase of 3.6%. Companies with strong product differentiation and store expansion strategies are likely to outperform [3][4] - The consumption of gold jewelry is projected to decrease by 25% in 2024, while the demand for gold bars and coins is expected to rise by 25% [3][4] 4. Investment Recommendations - For apparel brands, recommended stocks include Anta Sports, with a projected PE of 18 times for 2025, and other companies like Tabo, Weigao Medical, and Hailan Home, with varying PE ratios [4][9] - In textile manufacturing, recommended stocks include Shenzhou International and Huayi Group, with projected PE ratios of 11 and 15 times respectively for 2025 [4][9] - In the gold and jewelry sector, companies like Chow Tai Fook and Chaohongji are highlighted, with projected PE ratios of 16 and 18 times for 2025 [4][9]

Investment Rating - Maintain "Add" rating for the industry [5] Core Viewpoints - The report highlights the rapid expansion of the "Good Idea Whole Food Selection" stores in Jiangsu, focusing on a multi-category discount retail model that combines snacks, fresh fruits, and baked goods, aiming to cater to the upgrading consumption in lower-tier markets [1][2][4] - The store's product mix includes a significant focus on high-quality items, with a clear emphasis on customer service, such as offering free fruit cutting and washing services, indicating a shift from merely price-based competition to quality and service enhancement [2][11][15] - The report suggests that the head of the snack retail system is entering a phase of rapid expansion, with the potential for further differentiation in store types and a robust supply chain to support this growth [4][26] Summary by Sections 1. Multi-Category Expansion and Store Types - "Good Idea Whole Food Selection" is expanding its store types and product categories, with plans for rapid franchise growth [1][10] - The store has opened six locations in Jiangsu, focusing on community-centric locations with larger store sizes compared to traditional snack stores [11][13] 2. Product and Service Quality - The store's product categories have expanded to include fresh fruits, short-shelf-life baked goods, and a variety of dairy and beverage products, while maintaining a selective SKU approach [2][15] - The overall product quality is high, with pre-packaged fruits and well-known brand household products, enhancing customer loyalty through superior service [15][20] 3. Store Layout and Pricing Strategy - The store layout is designed for clear product zoning and customer flow, with a focus on larger single product displays [20] - Pricing remains competitive, with discounts on various categories compared to traditional supermarkets and online platforms, maintaining a value proposition for consumers [21][23] 4. Investment Recommendations - The report emphasizes the potential for significant growth in the snack retail sector, with established players poised to leverage their supply chain advantages and expand into new product categories [4][26] - The ongoing franchise model and the introduction of new store types are expected to enhance market coverage and operational efficiency [4][26]

Investment Rating - Maintain "Add" rating for the industry [5] Core Insights - The report highlights the transformation of retail through the expansion of multi-category discount formats, particularly focusing on the "Good Idea Whole Food Selection" in Jiangsu, which combines various store types and aims for rapid franchise expansion [1][4][10] - The "Good Idea Whole Food Selection" has successfully opened six stores in Jiangsu, emphasizing a community-centric approach with larger store sizes compared to traditional snack stores [11][24] - The product mix includes fresh fruits, short-shelf-life baked goods, and a selection of daily necessities, positioning the store more as a food supermarket rather than a simple discount retailer [2][15] Summary by Sections 1. Multi-Category Expansion and Store Types - The "Good Idea Whole Food Selection" is expanding its franchise model with multiple store types, aiming to adapt to various market needs and consumer preferences [1][10] - The company has introduced a diverse range of products, including fresh produce and baked goods, while maintaining a focus on cost-effectiveness and quality [2][11] 2. Store Layout and Customer Experience - The store layout is designed for clear product zoning and customer flow, enhancing the shopping experience and encouraging cross-selling among different product categories [3][20] - The stores feature a significant display area for selected SKUs, which contrasts with the dense layout of traditional supermarkets, thereby improving visibility and accessibility [20] 3. Pricing Strategy - The pricing strategy continues to emphasize value, with many products priced significantly lower than competitors like Hema and traditional supermarkets, maintaining a competitive edge in the market [21][23] - The report provides specific pricing comparisons, showing that many items are offered at discounts ranging from 50% to 80% compared to other retailers [23] 4. Investment Recommendations - The report suggests that the industry is entering a phase of rapid expansion, with leading companies like Wanchen Group and Mingming Hen Mang poised to capitalize on their established supply chains and operational efficiencies [4][26] - The potential for further market penetration and the introduction of additional store formats is highlighted as a key growth driver for the industry [4][26]

Investment Rating - The report maintains a positive outlook on the industry, suggesting an "Increase" rating for the sector [8]. Core Insights - The market for robotic tendons is expected to grow significantly, with projections indicating a market size of 10 trillion yuan by 2045 as humanoid robots advance to Level 5 capabilities [1][27]. - The adoption of tendon transmission systems in robotic hands is increasing due to their advantages in flexibility, lightweight design, and efficiency compared to traditional mechanisms [10][18]. - The report emphasizes the importance of ultra-high molecular weight polyethylene (UHMWPE) as a key material for robotic tendons, highlighting its superior strength-to-weight ratio and cost-effectiveness [3][39]. Summary by Sections 1. Robotic Tendons: Accelerating Penetration and Focus on UHMWPE - Robotic tendons enhance dexterity and lightweight design, with a significant market potential as humanoid robots evolve [1]. - The tendon transmission mechanism mimics human muscle structure, improving speed and precision in robotic applications [10][18]. 2. Market Potential for Robotic Tendons - The introduction of Tesla's Optimus GEN-3 robot, featuring a tendon-based hand with 22 degrees of freedom, indicates a market size of 35.2 billion yuan for tendon systems based on projected sales of 10 million units [2][31]. - The report anticipates further applications of tendons beyond robotic hands, including joints and other structural components [32]. 3. Material Opportunities: Focus on UHMWPE - UHMWPE fibers are recognized for their high strength and low density, making them ideal for robotic tendons [3][39]. - The report notes that domestic manufacturers are rapidly advancing in UHMWPE production, potentially disrupting the current market dominated by foreign companies [40][41]. 4. Key Companies - **Tongyi Zhong**: Leading in UHMWPE fiber production with a capacity of 7,960 tons, focusing on high-strength materials [4][42]. - **Nanshan Zhishang**: Producing 3,600 tons of UHMWPE fibers, with applications in robotic tendons [45]. - **Henghui Security**: Expected to increase its UHMWPE capacity by 4,800 tons, targeting the robotic tendon market [46].

证券研究报告 | 朝闻国盛 gszqdatemark 2025 05 07 年 月 日 朝闻国盛 A 股一季度报盈利特征&5 月市场观点 今日概览 重磅研报 【策略】A 股 25Q1 盈利与供需特征如何？——25Q1 财报分析（一）— —20250506 研究视点 【食品饮料】零售变革草根调研（二）四川零食有鸣批发超市：多品类 折扣先行者，千店规模优势深厚——20250506 【通信】润泽科技（300442.SZ）-改造机房适配新需求，AIDC 高增趋势 未改——20250506 【电新】同飞股份（300990.SZ）-25Q1 毛利率环比持续提升，期待公司 数据中心、半导体温控收入放量——20250506 作者 | 分析师 熊园 | | | | | --- | --- | --- | --- | | 执业证书编号：S0680518050004 | | | | | 邮箱：xiongyuan@gszq.com | | | | | 行业表现前五名 | | | | | 行业 | 1 月 | 3 月 | 1 年 | | 美容护理 | 15.6% | 12.4% | -4.2% | | 计算机 | 14.6% | -1 ...

Quantitative Models and Construction 1. Model Name: CDS Timing Strategy - **Model Construction Idea**: The model uses the 20-day difference signal of China's sovereign CDS as a timing indicator for Hong Kong stocks, leveraging the negative correlation between CDS and stock performance[12][13] - **Model Construction Process**: 1. Calculate the 20-day difference of China's sovereign CDS 2. Use the signal to time Hong Kong stock investments 3. Evaluate the annualized excess return relative to the benchmark - **Model Evaluation**: The model demonstrates a strong fit with Hong Kong stock returns and provides a reliable timing signal[12][13] 2. Model Name: Duration Timing Strategy - **Model Construction Idea**: The model estimates the expected return of government bonds for any duration and holding period using a multi-step process[17] - **Model Construction Process**: 1. Decompose government bond yields 2. Predict interest rates using modeling techniques 3. Simulate scenarios via Monte Carlo methods 4. Calculate expected returns for different durations and holding periods - **Model Evaluation**: The strategy is effective for short-term bond timing and provides actionable insights for duration allocation[17][19] 3. Model Name: Equity Index Return Prediction Model - **Model Construction Idea**: Predict the future returns of broad-based indices using a combination of macroeconomic and valuation factors[22][27] - **Model Construction Process**: 1. Use macroeconomic indicators and valuation metrics 2. Apply the model to predict returns for indices like CSI 300, CSI 500, etc. 3. Compare predicted returns to historical benchmarks - **Model Evaluation**: The model shows strong predictive power for large-cap indices like CSI 300, while small-cap indices like CSI 500 exhibit lower reliability[22][27] 4. Model Name: Industry Rotation Strategy - **Model Construction Idea**: Evaluate industries based on momentum, turnover, volatility, and beta to identify rotation opportunities[60] - **Model Construction Process**: 1. Calculate 12-month information ratios for industry momentum 2. Assess turnover, volatility, and beta for crowding metrics 3. Combine these dimensions to rank industries - **Model Evaluation**: The strategy effectively identifies high-potential industries and provides actionable rotation insights[60][63] 5. Model Name: Odds + Win Rate Strategy - **Model Construction Idea**: Combine odds and win rate metrics to allocate assets dynamically[65][70] - **Model Construction Process**: 1. Construct odds and win rate indicators for each asset 2. Combine the two metrics into a unified score 3. Allocate assets based on the combined score - **Model Evaluation**: The strategy balances risk and return effectively, achieving stable performance over time[65][70] --- Model Backtest Results 1. CDS Timing Strategy - Annualized Return: 11.8% - Annualized Volatility: 13.9% - Maximum Drawdown: 19.1% - Sharpe Ratio: 0.851[15] 2. Duration Timing Strategy - Annualized Return: 6.8% - Annualized Volatility: 2.1% - Maximum Drawdown: 2.3% - Calmar Ratio: 2.94[19] 3. Equity Index Return Prediction Model - CSI 300: Predicted Return 19.7% - CSI 500: Predicted Return -27.8%[22][26] 4. Industry Rotation Strategy - Annualized Excess Return: 12.2% (since 2011) - Tracking Error: 10.9% - Maximum Drawdown: 25.4% - IR: 1.12[61] 5. Odds + Win Rate Strategy - Annualized Return: 6.9% (since 2011) - Annualized Volatility: 2.3% - Maximum Drawdown: 2.8% - Sharpe Ratio: 3.03[72] --- Quantitative Factors and Construction 1. Factor Name: Quality Factor - **Factor Construction Idea**: Combines odds, trend, and crowding metrics to evaluate quality stocks[46] - **Factor Construction Process**: 1. Calculate odds (valuation) at 1.3 standard deviations 2. Assess trend at -0.1 standard deviations 3. Measure crowding at -1.1 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: High composite score indicates strong potential for long-term allocation[46] 2. Factor Name: Growth Factor - **Factor Construction Idea**: Evaluates growth stocks based on trend, odds, and crowding metrics[47] - **Factor Construction Process**: 1. Calculate trend at 0.5 standard deviations 2. Assess odds at -1.1 standard deviations 3. Measure crowding at 0.2 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: Low composite score suggests limited allocation value[47] 3. Factor Name: Dividend Factor - **Factor Construction Idea**: Focuses on dividend-paying stocks with moderate odds and low crowding[50] - **Factor Construction Process**: 1. Calculate trend at -1.7 standard deviations 2. Assess odds at -0.2 standard deviations 3. Measure crowding at -1.6 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: Low composite score indicates limited allocation potential[50] 4. Factor Name: Small-Cap Factor - **Factor Construction Idea**: Evaluates small-cap stocks based on trend, odds, and crowding metrics[53] - **Factor Construction Process**: 1. Calculate trend at -0.06 standard deviations 2. Assess odds at -0.05 standard deviations 3. Measure crowding at 0.3 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: High uncertainty and low composite score suggest caution[53] --- Factor Backtest Results 1. Quality Factor - Odds: 1.3 SD - Trend: -0.1 SD - Crowding: -1.1 SD - Composite Score: 3[46] 2. Growth Factor - Odds: -1.1 SD - Trend: 0.5 SD - Crowding: 0.2 SD - Composite Score: 0[47] 3. Dividend Factor - Odds: -0.2 SD - Trend: -1.7 SD - Crowding: -1.6 SD - Composite Score: 0[50] 4. Small-Cap Factor - Odds: -0.05 SD - Trend: -0.06 SD - Crowding: 0.3 SD - Composite Score: 0[53]