Group 1: Dify Overview - Dify is a specialized workflow application development tool designed to address the challenges of implementing large models in financial research, such as long processing times and high data dependency[2]. - Dify offers high flexibility, modularity, and low-code features, significantly improving efficiency compared to previous frameworks like LangChain[2]. - Dify allows integration with specialized knowledge bases like RAGFlow, enhancing its application capabilities[2]. Group 2: Key Features - Dify supports diverse tool sources, enabling users to connect various tools, including custom-built workflows, enhancing reusability[3]. - The platform allows for low-code application development, making it accessible for non-technical users to build complex workflows[3]. - Dify's Agent feature enables models to actively engage in tasks, such as querying databases or retrieving information, rather than just generating text[53]. Group 3: Application Cases - The "Time Extraction" tool can automatically identify and resolve ambiguous time references in user queries, enhancing data accuracy[4]. - A specialized "Financial Analyst" Agent categorizes user inquiries into stock, industry, concept, or macroeconomic questions, facilitating targeted analysis[4]. - The "Geographic Information Retrieval" Agent can locate addresses in annual reports and search for nearby relevant locations, showcasing Dify's integration capabilities[4]. Group 4: Competitive Advantage - Compared to competitors like FastGPT and Coze, Dify offers a more flexible and customizable platform, suitable for users with specific needs in workflow and knowledge base integration[26]. - Dify's knowledge base supports various data sources and allows for structured processing, enhancing the accuracy and relevance of responses[27].

- The micro-cap stock index rotation signal indicates that the micro-cap stock index relative net value crossed above the annual line on October 14, 2024, and this trend has continued since then[29] - The 20-day closing price slopes of both the micro-cap stock index and the Moutai index are positive, suggesting a favorable outlook for the micro-cap index's relative performance[29] - In the micro-cap timing model, the volatility congestion indicator, which reflects market trading sentiment, fell below the threshold on October 15, 2024, lifting the risk warning signal[29] - The interest rate year-on-year indicator, which is more fundamental, was -20.45%, not triggering the interest rate risk control threshold of 0.3[29] - The micro-cap timing model has not triggered any risk controls, so investors who prefer to hold micro-cap stocks long-term are advised to continue holding[29] Quantitative Factors and Construction Methods 1. Factor Name: Size Factor; Construction Idea: Measures the impact of company size on stock returns; Construction Process: Calculated as the logarithm of the market capitalization (LN_MktCap)[40][51] 2. Factor Name: Value Factor; Construction Idea: Evaluates the stock's valuation; Construction Process: Includes metrics like book-to-price ratio (BP_LR), earnings-to-price ratio (EP_FTTM), and sales-to-enterprise value ratio (Sales2EV)[40][51] 3. Factor Name: Growth Factor; Construction Idea: Assesses the company's growth potential; Construction Process: Includes metrics like single-quarter operating income growth (OperatingIncome_SQ_Chg1Y) and single-quarter revenue growth (Revenues_SQ_Chg1Y)[40][51] 4. Factor Name: Quality Factor; Construction Idea: Measures the company's financial health; Construction Process: Includes metrics like operating cash flow to current debt (OCF2CurrentDebt) and gross margin (GrossMargin_TTM)[40][51] 5. Factor Name: Consensus Expectation Factor; Construction Idea: Reflects market expectations; Construction Process: Includes metrics like expected return on equity change over three months (ROE_FTTM_Chg3M) and target return over 180 days (TargetReturn_180D)[40][51] 6. Factor Name: Technical Factor; Construction Idea: Based on stock price and volume trends; Construction Process: Includes metrics like 20-day turnover mean (Turnover_Mean_20D) and 60-day return volatility (Volatility_60D)[40][51] 7. Factor Name: Volatility Factor; Construction Idea: Measures stock price volatility; Construction Process: Includes metrics like CAPM model residual volatility (IV_CAPM) and Fama-French three-factor model residual volatility (IV_FF)[40][51] 8. Factor Name: Reversal Factor; Construction Idea: Captures the tendency of stock prices to revert to the mean; Construction Process: Includes metrics like 40-day return (Price_Chg40D) and 60-day return (Price_Chg60D)[40][51] Factor Backtesting Results 1. Size Factor, IC Mean: 35.37% (All A-shares), -9.73% (CSI 300), 13.63% (CSI 500), 17.13% (CSI 1000); Long-Short Return: 8.09% (All A-shares), -3.21% (CSI 300), 3.16% (CSI 500), 4.01% (CSI 1000)[42][43] 2. Value Factor, IC Mean: 2.40% (All A-shares), 14.21% (CSI 300), 15.32% (CSI 500), 8.40% (CSI 1000); Long-Short Return: 3.53% (All A-shares), 1.74% (CSI 300), 3.00% (CSI 500), 3.33% (CSI 1000)[42][44] 3. Growth Factor, IC Mean: -4.85% (All A-shares), 0.05% (CSI 300), -5.97% (CSI 500), -17.08% (CSI 1000); Long-Short Return: 2.23% (All A-shares), 4.13% (CSI 300), 1.21% (CSI 500), 0.56% (CSI 1000)[42][43] 4. Quality Factor, IC Mean: -8.43% (All A-shares), -10.63% (CSI 300), -8.60% (CSI 500), -11.51% (CSI 1000); Long-Short Return: 2.07% (All A-shares), 1.47% (CSI 300), 2.50% (CSI 500), 0.71% (CSI 1000)[42][44] 5. Consensus Expectation Factor, IC Mean: -0.33% (All A-shares), 12.78% (CSI 300), -4.34% (CSI 500), 0.08% (CSI 1000); Long-Short Return: 2.76% (All A-shares), 4.51% (CSI 300), 4.52% (CSI 500), 3.72% (CSI 1000)[42][43] 6. Technical Factor, IC Mean: 4.13% (All A-shares), 2.37% (CSI 300), 3.13% (CSI 500), 11.63% (CSI 1000); Long-Short Return: 8.36% (All A-shares), 4.02% (CSI 300), 6.42% (CSI 500), 8.53% (CSI 1000)[42][44] 7. Volatility Factor, IC Mean: 2.14% (All A-shares), 5.04% (CSI 300), 16.85% (CSI 500), 15.33% (CSI 1000); Long-Short Return: 8.14% (All A-shares), 3.35% (CSI 300), 6.02% (CSI 500), 8.12% (CSI 1000)[42][44] 8. Reversal Factor, IC Mean: 11.17% (All A-shares), 17.06% (CSI 300), 30.80% (CSI 500), 31.65% (CSI 1000); Long-Short Return: 6.60% (All A-shares), 2.81% (CSI 300), 6.37% (CSI 500), 7.58% (CSI 1000)[42][43]

中美日内瓦经贸会谈达成重要突破，双方同意将中国对美反制关税从 125%降至 10%，美国对华加征关税从 145%降至 30%，其中 24%关税设 90 天缓冲期。这一结果远超市场预期，反映出美国在谈判中处于更被动立场，其急于取得成果 源于国内经济压力和政治反噬风险，而中国通过与东盟、欧盟等非美国家深化合作争取了谈判主动权。 谈判成功的关键在于中美双方的现实考量。美国面临关税持久战下的供应链中断风险和盟友拖延策略压力，中国则需 避免高关税对出口的长期冲击，同时利用关税战窗口期完成与非美经济体的战略布局。双方在相互经济压力下选择阶 段性妥协，既缓解了短期经贸摩擦，也为后续磋商机制奠定基础。 协议落地后，预计中国 6-7 月出口将因前期抢出口透支需求而回落，但降幅较 145%关税情景明显缓和。政策层面关注 财政对冲工具，市场层面电子产品、纺织等出口链企业压力减轻，国产替代和出海逻辑仍具长期价值。全球风险偏好 回升利好美股，黄金短期波动加剧，人民币贬值压力有所缓解。 风险提示 中美贸易博弈磋商多次反复；美国经济下行加速超预期；国内出口放缓超预期。 敬请参阅最后一页特别声明 1 宏观经济点评 中美关税超预期降级。5 月 ...

- The report tracks the performance of various enhanced index funds, including Huashang Quantitative Selected CSI 300 Enhanced A, which achieved an excess return of 0.66% last week relative to its benchmark[4][37][40] - Among CSI 500 Enhanced Index Funds, Haitong CSI 500 Enhanced A delivered the best performance last week with an excess return of 1.06%[4][37][40] - For CSI 1000 Enhanced Index Funds, Guojin CSI 1000 Enhanced A achieved an excess return of 0.97% last week, while over the past year, Bosera CSI 1000 Enhanced A led with an excess return of 15.32%[4][37][38] - In the CSI 2000 Enhanced Index Funds category, Wanjia CSI 2000 Enhanced A performed best last week with an excess return of 0.66%, while Huixintong CSI 2000 Enhanced A achieved the highest one-year excess return of 20.64%[4][37][38]

Group 1: Bond Performance Insights - The "24 铁道 MTN006B" bond shows a significant valuation price deviation of -0.35% with a net price of 108.70 and a yield of 2.12%[4] - The "21 万科02" bond has a positive deviation of 0.75% with a net price of 96.31 and a yield of 9.50%[5] - The "24 齐商银行永续债 01" bond has a slight positive deviation of 0.07% with a net price of 99.63 and a yield of 3.40%[6] Group 2: Market Trends - The majority of non-financial credit bonds have a transaction maturity concentrated in the 2 to 3-year range, with 3 to 4-year bonds showing the highest discount transaction ratio[2] - Real estate bonds rank high among those with transaction yields exceeding 10%[8] - The construction materials sector exhibits the largest average valuation price deviation among industries[2] Group 3: Risk Considerations - There is a risk of statistical data bias or omission, which may lead to discrepancies in reported bond performance[3] - Bonds with significant valuation price deviations may face credit risk due to changes in issuer qualifications[18]

投资逻辑 计算机行业观点：我们处在一个大的变革期，一方面，上游环节因为大国竞争的愈来愈烈，科技制裁加剧不可逆，而 呈现出更强的国产替代、自主可控的诉求。DS 为代表的高性价比低成本开源模型，证明了中国科技行业的创新引领 能力，也让国产芯片有了更多适配的机会。我们认为，特朗普关税政策对计算机公司基本面影响相对较小，国产替代 /自主可控板块有望受益。1）基本面角度看，计算机下游市场需求中，海外收入占比约 10%，且征税主要针对需要清 关的实体商品，对于软件影响不大，因此预计对于板块总体的业绩端影响较小。少数美国收入占比较高的硬件/软硬结 合产品的公司，在过去几年通过本地化生产、安全库存等策略进行不同程度的规避。且考虑到关税落地后，国内可能 继续出台稳增长的政策，对于以国内需求为主的计算机板块影响正面。2）估值角度看，计算机板块受市场风险偏好 和情绪影响大，短期美股和海外资本市场乃至大类资产的回撤预计一定程度也将影响到中国资本市场，进而带来计算 机板块估值体系的压力，这一点不可忽视。3）受益的角度看，对等制裁背景下，预计国产替代/自主可控迫切度提升， 成为市场关注点，包括信创、华为产业链、工业软件、军工信息化、CI ...

投资逻辑 计算机行业观点：我们处在一个大的变革期，一方面，上游环节因为大国竞争的愈来愈烈，科技制裁加剧不可逆，而 呈现出更强的国产替代、自主可控的诉求。DS 为代表的高性价比低成本开源模型，证明了中国科技行业的创新引领 能力，也让国产芯片有了更多适配的机会。我们认为，特朗普关税政策对计算机公司基本面影响相对较小，国产替代 /自主可控板块有望受益。1）基本面角度看，计算机下游市场需求中，海外收入占比约 10%，且征税主要针对需要清 关的实体商品，对于软件影响不大，因此预计对于板块总体的业绩端影响较小。少数美国收入占比较高的硬件/软硬结 合产品的公司，在过去几年通过本地化生产、安全库存等策略进行不同程度的规避。且考虑到关税落地后，国内可能 继续出台稳增长的政策，对于以国内需求为主的计算机板块影响正面。2）估值角度看，计算机板块受市场风险偏好 和情绪影响大，短期美股和海外资本市场乃至大类资产的回撤预计一定程度也将影响到中国资本市场，进而带来计算 机板块估值体系的压力，这一点不可忽视。3）受益的角度看，对等制裁背景下，预计国产替代/自主可控迫切度提升， 成为市场关注点，包括信创、华为产业链、工业软件、军工信息化、CI ...

Investment Rating - The report suggests a positive outlook for the industry, indicating a potential recovery in the sector due to recent tariff negotiations [4]. Core Insights - The recent US-China trade talks have led to a significant reduction in tariffs, with the US canceling 91% of additional tariffs and China reciprocating, which is expected to improve market sentiment and alleviate long-term demand pressures [2][3]. - The reduction in tariffs is anticipated to enhance the supply-demand dynamics within the domestic chemical industry, providing a buffer period of 90 days for certain tariffs, which may lead to improved industry sentiment [2]. - The report emphasizes that the long-term impact of tariffs on the chemical industry is more about downstream demand transmission through the industrial chain, suggesting a gradual recovery in export proportions [2][3]. Summary by Sections Event Overview - On May 12, substantial progress was made in US-China trade talks, resulting in the cancellation of 91% of additional tariffs by the US and corresponding actions by China [2]. Investment Logic - The easing of tariffs is expected to improve market expectations and alleviate long-term demand pressures, with a notable increase in the proportion of chemical products exported to the US [2]. - The report highlights that the domestic chemical industry has recently undergone a significant capacity release cycle, which has raised industry sentiment [2]. - The long-term trend indicates a continuous push towards domestic production and supply chain security, with significant advancements in material fields over the past seven years [3]. Investment Recommendations - The report recommends focusing on sectors that have been significantly impacted by US tariffs, such as the electronics, textiles, and tire industries, which may see recovery due to tariff relief [4]. - It also suggests monitoring the propane dehydrogenation industry, which has benefited from reduced tariff costs, despite ongoing supply pressures [4]. - The report encourages attention to opportunities in domestic substitution as the industry continues to push for higher-end material production [4].

2025/5/12 1 图：生猪养殖周期示意图 图：猪价指引产能导致周期往复 2 数据来源：国金证券研究所整理 • 生产特性：生猪的生长速度无法加快，从能繁母猪配种开始生产需要10个月的时间，通过后备时间更长；而市面上 补充后备母猪为50-80KG，需要饲养至120KG以上才可以开始配种，猪价指导生产，盈利增产/亏损减产，现今亦然 如此而养殖户在决策上存在一定的时滞性， • 时滞性的来源： • 1.对后市的预期（预期乐观⬆/悲观⬇） • 2.养殖户手中的资金(宽松⬆/紧张⬇) • 以上特点使得盈利情况指引未来产能方向，亏损时间越长产能去化越充分，非瘟前每一轮周期上行多在2年左右。 图：生猪繁育体系示意图 数据来源：国金证券研究所整理 3 图：历史猪周期总结（元/公斤） | | 周期跨度 | 上行区间 | 下行区间 | | | | | --- | --- | --- | --- | --- | --- | --- | | | | | | 最高价 | 最低价 | 波动幅度 | | 第一轮 | 2006/5-2010/4 | 2006/5-2008/3 | 2008/4-2010/4 | 17.45 | 6.76 ...

Investment Rating - The report indicates a positive outlook for the new tobacco products industry, with a focus on the growth potential of smokeless tobacco and nicotine pouch segments [8]. Core Insights - The global market for new tobacco products is projected to reach $86.96 billion in 2024, reflecting a year-on-year growth of 13.1%, with significant contributions from smokeless tobacco, vaping, heated tobacco, and oral nicotine products [2][17]. - The report highlights the strong performance of smokeless tobacco and nicotine pouch products, with the latter expected to grow by 51.0% year-on-year in 2024 [2][3]. - The market dynamics are shifting, with North America, Western Europe, and Asia-Pacific regions showing robust growth, particularly in the U.S., which remains the largest market for new tobacco products [23][24]. Summary by Sections 1. Global Market Overview - The new tobacco products market is expanding steadily, with a compound annual growth rate (CAGR) of 16.8% from 2017 to 2024 [17]. - By 2025, the market is expected to continue its growth trajectory, with projections indicating increases across all product categories [2][17]. 2. Nicotine Pouches - The global nicotine pouch market is experiencing rapid growth, with a projected market size of 21.2 billion pouches in 2024, marking a 37% increase year-on-year [3]. - Major tobacco companies dominate this segment, with significant market shares held by PMI, BAT, and Altria [3]. 3. Philip Morris International (PMI) - PMI's revenue from new tobacco products is expected to reach $14.66 billion in 2024, a 17.0% increase, with heated tobacco product shipments growing by 11.5% [4]. - The number of PMI's new tobacco users has reached 32.2 million, with a 72.0% replacement rate of traditional cigarette consumers [4]. 4. British American Tobacco (BAT) - BAT is accelerating its "smokeless strategy," with its modern oral tobacco segment showing a 47% revenue increase [5]. - The launch of the Glo Hilo product is anticipated to disrupt the current heated tobacco market dynamics [5]. 5. Altria - Altria's NJOY brand has shown significant growth, with a 15.3% increase in sales volume in 2024 [6]. - The on! brand also experienced a 40.2% increase in sales, indicating a strong performance in the oral nicotine segment [6]. 6. Imperial Brands - Imperial Brands reported a 24.2% revenue increase in its new tobacco segment, driven by strong performance in Europe [6]. - The company is actively launching new products to cater to changing consumer preferences [6]. 7. Japan Tobacco - Japan Tobacco's new tobacco revenue is projected to reach 989 billion yen in 2024, reflecting a 21.1% increase [7]. - The Ploom brand is expanding its presence in emerging markets, contributing to overall sales growth [7]. 8. Investment Recommendations - The report recommends focusing on companies like Smoore International, which is well-positioned to benefit from the expanding vaping market and partnerships with major players like BAT and NJOY [8].