2月3日，今世缘发布投资者来访接待记录表。谈及价格策略，管理层表示，我们的主阵地在中高端到次 高端价格带，核心策略是平衡好量与价的关系。在价格让利幅度与竞品相当的前提下，力争市场份额不 断提升。尽管淡雅、四开等产品在放量过程中，以及受市场环境影响，价格有回调压力，但我们通过优 化价值体系、梳理政策投入，实现了价格的相对稳定。从12月以来，部分市场已经反馈淡雅、四开的批 价和零售价在逐步回升。 我们观察到，短期降价确实能刺激弹性需求，但我们这个价格带的产品价格弹性没那么大。我们更关注 品牌的长期占位，希望每一轮行业洗牌后，我们的品牌力都能稍稍往上走，因此不会轻易采取降价的策 略，但会阶段性关注竞争态势进行调整。 对于V系列的规划，管理层介绍，V系列是公司高端化的重点，目前培育重心仍在江苏省内。 V3作 为"规模高端"产品，是当下的销售主力，市场热度和口碑良好，2026年已确定延续苏超冠名，份额稳中 有升。我们希望V3能在规模放量和结构引领上发挥更大作用。 V6作为"结构高端"产品，基数较低，我们通过产品形态创新（如主推单盒双支装260ml的V6小粉钻）， 在苏锡常等高线市场做重点布局。 V9定位"品类高端"，用 ...

V6作为"结构高端"产品，基数较低，我们通过产品形态创新（如主推单盒双支装260ml的V6小粉钻）， 在苏锡常等高线市场做重点布局。 V9定位"品类高端"，用于树立高端形象，本来销量较小，虽然受环境影响，短期内难以有大的突破， 但对总的业绩影响不大。 格隆汇2月3日丨今世缘(603369.SH)投资者来访接待记录表显示，V系列是公司高端化的重点，目前培育 重心仍在江苏省内。 V3作为"规模高端"产品，是当下的销售主力，市场热度和口碑良好，2026年已确定延续苏超冠名，份 额稳中有升。我们希望V3能在规模放量和结构引领上发挥更大作用。 ...

Summary of Key Points from the Conference Call Records Industry Overview: Baijiu Industry Core Insights and Arguments - **Zhenjiu Li Du**: - The company has initiated a 26-year repayment plan with inventory levels around 3+ months [1] - Recent batch prices for Zhen30, Zhen15, Zhen10, and Zhen5 are 720, 305, 260, and 110 yuan respectively [1] - Over 4,000 contracts signed with major Zhen Alliance merchants, achieving over 700 million yuan in repayments [1] - The second phase of Zhenjiu's expansion has halted recruitment in 15 counties, with a strategy of replacing existing merchants [1] - The "Zhen 2021 Real Vintage" is set to launch, while the 2020 vintage will cease production by year-end, with a price increase of 10 yuan per bottle starting January 10 [1] - Zhenjiu's classic version has been officially launched at a suggested retail price of 208 yuan per bottle, now available in Guizhou [1] - **Yanghe Co.**: - The company has achieved a 20% repayment progress for 2026, with average inventory levels of 2.5-3 months [2] - Batch prices for M6+, M3 Crystal Edition, Tianzhilan, and Haizhilan are 560, 360, 240, and 115 yuan respectively [2] - Yanghe has been selected as an official sponsor for "Su Super" [2] - No mandatory repayment requirements during the Spring Festival, with current inventory below 2 months [2] - **Jinshi Yuan**: - The company reports a 25% repayment progress for 2026, with average inventory around 3.5 months [2] - Batch prices for Dikai, Si Kai, and V3 are approximately 240, 405, and 500 yuan [2] - Jinshi Yuan has sponsored "Su Super" for two consecutive years [2] - The company is adapting to changes in consumer behavior, with a notable increase in the sales of its light and elegant products [2] - The company aims to maintain a stable market presence and pricing strategy while expanding its product matrix [2] - **Gu Jing Gong Jiu**: - The company has a 25% repayment progress for 2026, with inventory levels around 5+ months [3] - Batch prices for Gu20, Gu16, Gu8, Gu5, and Xianli are 510, 310, 190, 103, and 76 yuan respectively [3] - Gu Jing Gong Jiu announced a cash dividend distribution plan totaling 529 million yuan [3] - **Kouzi Jiao**: - The company has initiated a 26-year repayment plan with average inventory levels of 4+ months [3] - Batch prices for Kouzi 30, 20, 10, and 6 years are 700, 300, 200, and 120 yuan respectively [3] - The company reported significant declines in high-end and mid-range product revenues, with a notable increase in low-end product sales [3] - **Yingjia Gong Jiu**: - The company has a repayment progress of 20-30% for 2026, with average inventory around 5+ months [4] - Promotional prices for Dong6, 9, and 16 are 110, 185, and 285 yuan, with stable batch prices [4] - The company aims for a 30% repayment target in Q1, with expectations for continued growth in Dong6 and 9 [4] - **Jinhui Jiu**: - The company has initiated a repayment plan for 2026 [5] - Plans to distribute nearly 100 million yuan in cash dividends [5] - Positive feedback from the Northwest region indicates potential market share growth due to a lack of strong competitors [5] - The company has seen revenue growth in products priced below 100 yuan, with a rising share in the 300 yuan and above segment [5] Other Important Insights - The overall sentiment in the Baijiu industry reflects cautious optimism, with companies focusing on maintaining stable pricing and adapting to changing consumer preferences [2][3][4][5] - The impact of the Spring Festival on sales and repayment expectations is a common theme, with companies expressing a mix of caution and strategic planning for the upcoming period [2][3][4]

Core Insights - Investors who bought Nvidia shares after the DeepSeek-related market crash on January 27, 2025, have seen significant gains, with a $1,000 investment growing to approximately $1,580 by January 23, 2026, reflecting a 58% return [1][5] Group 1: Market Impact - The DeepSeek market crash was triggered by a sell-off in technology stocks due to the release of advanced AI models from the Chinese startup DeepSeek, raising concerns about U.S. leadership in AI and demand for Nvidia's hardware [3][4] - Nvidia experienced a nearly 17% drop in a single session during the crash, resulting in a loss of about $600 billion in market value, marking the largest one-day loss in Wall Street history [4] Group 2: Recovery and Demand - Following the crash, Nvidia's stock rebounded nearly 9% the next day as investors viewed the sell-off as an overreaction, and the stock continued to appreciate due to sustained demand for high-performance GPUs in AI training and inference [5] - Strong quarterly results indicated resilient data center revenue, bolstered by partnerships with major U.S. technology firms expanding AI infrastructure [5] Group 3: Competitive Landscape - Nvidia's advancements in chip design and software ecosystems have reinforced its market position, while the perception shifted towards the idea that more efficient AI models would increase overall adoption rather than diminish hardware demand [6] - Geopolitical tensions have deterred Western companies from adopting Chinese AI solutions, limiting DeepSeek's commercial impact, while U.S. competitors like OpenAI and Google have enhanced their ecosystems, reducing DeepSeek's cost-driven appeal [7]

Investment Rating - The report suggests a positive investment outlook for the liquor and frozen food sectors, particularly highlighting the upcoming Spring Festival as a catalyst for sales growth in the liquor industry [1][2]. Core Insights - The liquor market is expected to see improved sales performance as the Spring Festival approaches, with Moutai leading the way. The report indicates that Moutai's pricing strategy and sales performance are likely to drive industry-wide improvements [1][2]. - The frozen food sector is experiencing a recovery, with demand rebounding and price competition easing. Leading companies in this sector are expected to benefit significantly from this trend [2]. - The snack food segment is also showing signs of recovery, with companies that faced challenges in 2025 beginning to emerge from their operational lows. The upcoming Spring Festival is anticipated to boost inventory levels and sales [2]. Summary by Sections Liquor Sector - The report indicates that as the Spring Festival approaches, channel collections are progressing normally, and sales are expected to improve slightly despite year-on-year pressure. Moutai is expected to perform strongly, with its pricing strategy showing a stabilizing effect [2]. - The report emphasizes that liquor companies are prioritizing volume over price and focusing on quality to gain market share [2]. Frozen Food Sector - The frozen food market is currently in its peak sales season, with demand showing a month-on-month recovery. The report notes that leading companies are likely to see revenue growth due to a low base effect and improved profit margins [2]. Snack Food Sector - Companies in the snack food sector that faced challenges in 2025 are now gradually recovering. The report highlights that the upcoming Spring Festival will significantly enhance inventory levels and sales opportunities for these companies [2]. Specific Companies - Moutai, Guizhou Moutai, and other leading liquor brands are recommended for short-term investment due to their strong performance during the Spring Festival [1]. - Companies like Sanquan Foods and others are noted for their innovative product launches and channel strategies, which are expected to drive revenue growth [4].

Core Viewpoint - DeepSeek remains focused on AGI research without pursuing external financing or commercialization, supported by substantial revenue from its parent company, Huanfang Quantitative [1][2][36]. Group 1: Financial Performance of Huanfang Quantitative - Huanfang Quantitative earned 5 billion RMB last year, with nearly all its funds projected to yield over 55% returns by 2025 [4][6]. - The average return for Chinese quantitative funds was 30.5%, significantly outperforming global competitors [7]. - Huanfang Quantitative's average return of 56.6% ranks it second among large quantitative funds, only behind Lingjun Investment, which achieved 70% [8]. - With over 70 billion RMB in assets under management, the impressive returns translate to substantial profits for the company [9]. - Estimated earnings from management fees and performance bonuses could exceed 700 million USD (approximately 5 billion RMB) for Huanfang Quantitative in the past year [10][12]. Group 2: DeepSeek's Research and Development - DeepSeek's V3 training cost only 5.576 million USD, while R1 training cost 294,000 USD, indicating efficient use of funds [15][17]. - Based on last year's revenue, Huanfang Quantitative could fund the production of 125 V3 models and 2,380 R1 models [16][18]. - DeepSeek has maintained a strong research output, continuously publishing high-level papers and recently open-sourcing a memory module [3][35]. Group 3: Strategic Positioning and Market Dynamics - Unlike other major players like OpenAI, DeepSeek has not engaged in aggressive monetization strategies, focusing instead on pure AGI research [26][27]. - DeepSeek's lack of external financing allows it to operate without the pressure of short-term returns, fostering a pure research environment [40][52]. - The company has a unique position as the only AI lab that has not accepted external funding and is not affiliated with any major tech firms [36]. Group 4: Talent Retention and Team Stability - DeepSeek has experienced minimal talent turnover, with many core contributors remaining with the team, indicating a stable and committed workforce [53][58]. - The financial backing from Huanfang Quantitative enables DeepSeek to offer competitive salaries and resources, attracting idealistic researchers dedicated to AGI [58]. Group 5: Market Impact and Investment Opportunities - DeepSeek's technical papers have become valuable resources for investors, with many using them as investment guides [62]. - The release of new models often leads to stock price surges for companies adapting their hardware to DeepSeek's specifications, demonstrating the market's responsiveness to its research [71][72].

Core Insights - DeepSeek has not engaged in new financing or significant commercialization activities despite the buzz surrounding large model players in the market [1] - DeepSeek continues to produce high-quality research papers, indicating a stable output of academic contributions [2] - The financial success of its parent company, Huanfang Quantitative, which earned approximately $7 billion last year, provides substantial funding for DeepSeek's research endeavors [6][8] Group 1: Financial Performance - Huanfang Quantitative's funds are showing impressive returns, with nearly all of its funds projected to yield over 55% in 2025 [3] - The average return for quantitative funds in China last year was 30.5%, significantly outperforming global competitors [4] - Huanfang Quantitative's asset management exceeds $70 billion, contributing to its substantial earnings [7] Group 2: Research and Development - DeepSeek's research expenditures are relatively low, with the latest V3 training costing $557,600 and R1 costing $29,400, allowing for the potential production of numerous models with available funds [6] - DeepSeek has maintained a focus on AGI research without the pressure of immediate financial returns, as it has not accepted external funding and is not tied to any major tech company [11][15] - The company has consistently released significant research outputs, including recent advancements in OCR and V3.2, while also open-sourcing components like the memory module [9][10] Group 3: Market Position and Strategy - DeepSeek operates with a unique business model that allows it to focus solely on AGI without the distractions of monetization pressures [10][12] - The company benefits from a stable and committed research team, with minimal turnover and even some returning members, indicating a strong internal culture [28][30] - DeepSeek's research outputs have become valuable to investors, as its technical papers provide insights that influence stock movements in related hardware companies [34][39] Group 4: Competitive Landscape - Compared to other major players like OpenAI, DeepSeek's approach is characterized by a lack of aggressive monetization strategies, focusing instead on pure research [26][9] - The ability to leverage a mature business model for cross-subsidization of AI research is often underestimated in the market [19][20] - DeepSeek's model integrates the strengths of both established companies and pure AI startups, positioning it uniquely in the competitive landscape [26]

Core Viewpoint - DeepSeek remains focused on AGI research without significant commercialization efforts, supported by substantial funding from its parent company, Huanfang Quantitative [2][35][41]. Group 1: Financial Performance of Huanfang Quantitative - Huanfang Quantitative earned approximately 50 billion RMB last year, indicating strong financial health [4][10]. - The average return rate for Huanfang Quantitative's funds in 2025 is projected to be over 55%, significantly outperforming the average return of 30.5% for quantitative funds in China [6][8]. - Huanfang Quantitative manages over 70 billion RMB in assets, contributing to its impressive profitability [9]. Group 2: DeepSeek's Research and Development - DeepSeek has maintained a steady output of high-level research papers, with the latest R1 paper showing a stable list of contributors [3][52]. - The development costs for DeepSeek's V3 and R1 models were relatively low, at 5.576 million USD and 294,000 USD respectively, allowing for extensive research funding from Huanfang Quantitative [15][16]. - With the substantial income from Huanfang Quantitative, DeepSeek can afford to develop numerous models without financial constraints [16][59]. Group 3: Competitive Landscape and Positioning - Unlike other major players like OpenAI, DeepSeek has not engaged in aggressive monetization strategies, focusing instead on pure AGI research [25][26]. - DeepSeek's approach contrasts with the commercialization efforts of competitors, allowing it to maintain a unique position in the AI landscape [24][49]. - The company benefits from a stable and committed research team, with minimal turnover, which is crucial in the competitive AI sector [51][57]. Group 4: Market Impact and Investor Sentiment - DeepSeek's technical papers have become valuable resources for investors, influencing stock prices of related companies in the semiconductor industry [60][66]. - The release of new models and technical reports has led to significant stock price movements, demonstrating the market's responsiveness to DeepSeek's advancements [70][72]. - Investors have found opportunities in the insights provided by DeepSeek, treating its research as a guide for investment decisions [61][72].

Core Insights - DeepSeek has introduced a new neural network architecture optimization called mHC (Manifold-Constrained Hyper-Connections), which is expected to significantly impact the AI industry, including large models and chips [1][5][9] Group 1: mHC Architecture - The mHC architecture builds on the Hyper-Connections (HC) framework released by the Byte Bean team in November 2024, aiming to replace the nearly decade-old ResNet architecture [5] - mHC introduces a Manifold-Constrained approach using the Sinkhorn-Knopp algorithm to stabilize signal propagation during training, addressing issues of signal explosion and instability in large model training [5][6] - In training demonstrations with 27 billion parameters, mHC maintained a signal amplification of only 1.6 times, while HC experienced a catastrophic failure with a 3000 times amplification [6][8] Group 2: Performance and Efficiency - mHC shows a significant reduction in training loss and improved performance on challenging tasks, with over 2% enhancement in reasoning and reading comprehension benchmarks compared to traditional architectures [6][8] - The additional training time overhead for mHC, even with a fourfold expansion of residual channels, is only 6.7%, indicating a focus on cost-effectiveness and efficiency [8] Group 3: Industry Impact and Reactions - The release of mHC has sparked high discussion levels among researchers and industry professionals, with expectations of a paradigm shift in large model architectures by 2026 [9][10] - Competitors are already responding, with new architectures like Deep Delta Learning emerging shortly after mHC's announcement, indicating a potential chain reaction in AI architecture development [9][10] - Analysts predict that DeepSeek may make significant announcements around the Lunar New Year, potentially unveiling the long-awaited R2 model or a faster universal model V4 [10] Group 4: Compatibility and Market Dynamics - mHC's architecture is primarily designed for NVIDIA's supernode links, raising concerns about compatibility with domestic chips, which may require enhanced adaptation efforts [11] - As U.S. AI chip manufacturers gradually exit the Chinese market due to geopolitical factors, domestic chipmakers are accelerating their development and ecosystem building to adapt to DeepSeek's models [12]

Core Viewpoint - The company emphasizes that despite a positive short-term consumption trend during the holiday season, the overall consumption level is unlikely to return to previous highs, indicating a new normal in the market [1][3]. Group 1: Consumption Trends - The company observed a good consumption trend in October due to a longer holiday, increased willingness for compliant gatherings, and a rise in gifting local liquor [1]. - However, as life returns to normal in November, the consumption heat is expected to decline, suggesting a more subdued market environment [1]. - Online sales during the Double Eleven event showed positive growth compared to last year, aligning with the company's expectations and enhancing brand penetration in online consumption [1]. Group 2: Pricing and Inventory Management - The company acknowledges that e-commerce platform subsidies have a short-term impact on pricing but believes the long-term effects are limited due to low online penetration of liquor sales and consumer awareness of subsidies [2]. - The management stated that they will not intentionally pursue additional channel payments to maintain price stability, as this could lead to significant price disparities and weaken brand differentiation [2][3]. - The company is focused on maintaining a healthy inventory level and optimizing market conditions rather than pursuing superficial sales boosts [3]. Group 3: Future Growth Strategies - The company plans to continue expanding its product range across various price segments, with a focus on core products and new market opportunities [3]. - There is a recognition of the need for low-alcohol products to attract new consumer demographics, with the industry beginning to explore this segment more seriously due to current market pressures [4][5]. - The company believes that while younger consumers may initially avoid traditional liquor, they will likely engage with it as they age, particularly favoring lower-alcohol, higher-quality options [5].