【CPO概念震荡反弹 腾景科技20cm涨停】智通财经11月17日电，临近尾盘CPO概念震荡反弹，腾景科 技20cm涨停，德科立、长芯博创、光库科技、中际旭创涨幅靠前。消息面上，国信证券研报指出，由 于ASIC芯片出货量加大，测算明年全球800G光模块有望达4000万只，1.6T光模块有望超过700万只。 转自：智通财经 ...

Core Viewpoint - The Fujian concept stocks in the A-share market continue to strengthen, with several stocks hitting their daily limit up, indicating strong investor interest and potential growth in this sector [1]. Summary by Category Stock Performance - Hongxiang Co., Ltd. (300427) and Zhongfutong (300560) both reached a 20% limit up, showcasing significant market momentum [1]. - Haixia Innovation surged over 13%, while Guoanda (300902) increased by over 11% [1]. - Other notable performers include: - Xiamen Engineering Machinery (600815) up by 10.10% - Longzhou Co., Ltd. (002682) up by 10.03% - Pingtan Development (000592) up by 10.02% - Jomoo (601566) up by 10.02% [2]. Market Capitalization and Year-to-Date Performance - Hongxiang Co., Ltd. has a market capitalization of 4.419 billion, with a year-to-date increase of 47.29% [2]. - Zhongfutong has a market cap of 5.178 billion and a year-to-date increase of 45.61% [2]. - Haixia Innovation boasts a market cap of 11.5 billion and an impressive year-to-date increase of 500.35% [2]. - Other companies like Pingtan Development and Jomoo also show strong year-to-date performances of 317.07% and 70.08%, respectively [2].

Core Viewpoint - The A-share market in China is experiencing a strong performance from Fujian concept stocks, with several companies hitting their daily price limits and showing significant gains [1] Group 1: Stock Performance - Hongxiang Co. and Zhongfutong both reached the daily limit of 20% increase [1] - Haixia Innovation rose over 13% [1] - Guoan Da increased by over 11% [1] - Other companies such as XG Group, Longzhou Group, Pingtan Development, Jiayi Wang, Jianfa Heceng, Lezhi Group, Tengjing Technology, Aerospace Development, Rishang Group, and China Wuyi all reached a 10% increase [1] - Haixia Environmental saw an increase of over 6% [1]

Core Viewpoint - The military industry sector experienced a strong rally on the 17th, with significant stock price increases for companies such as Zhongfu Tong and Jianglong Shipbuilding, indicating heightened investor interest due to escalating geopolitical uncertainties [1] Industry Summary - The military sector is expected to gain increased attention as geopolitical uncertainties rise, with China's advanced main battle equipment not only meeting domestic demand but also showing competitive strength in international markets [1] - There is a positive outlook for the export of high-end and systematic weaponry from China, which is anticipated to drive a revaluation of core military assets [1] - According to CITIC Securities, the period from 2025 to 2027 is expected to see a strong upward trend in the industry, coinciding with the centenary of the military in 2027 and the transition from the 14th Five-Year Plan to the 15th [1] - The demand side of the industry is expected to present numerous opportunities, with orders showing recovery in the first half of the year and upstream companies reporting good performance in their mid-year reports [1] - The "9.3" military parade showcased several advanced equipment, and the third and fourth quarters are typically peak periods for the delivery of national defense and military products, suggesting a continued recovery in order fundamentals [1] - Looking ahead to the fourth quarter, domestic demand growth in the military sector is expected to accelerate, and military trade orders are likely to continue materializing, leading to a significant increase in overall recovery momentum and sustained expectations for consolidation [1]

每经AI快讯，光通信模块板块领涨，上涨2.69%，其中腾景科技上涨14.55%，长芯博创上涨7.23%，光 库科技上涨5.58%，兴森科技、中际旭创、星帅尔涨超4%。 （文章来源：每日经济新闻） ...

Industry Background: Transition to a "Data-Driven" Era in Breeding - Traditional breeding relies heavily on time-consuming field trials and personal experience, typically requiring 7-12 years for completion, which is costly and has a limited success rate. The global breeding industry is undergoing a fundamental shift from "experience-driven" to "data + model-driven" due to the significant decrease in genome sequencing costs, widespread application of high-throughput phenotyping technologies, and continuous enhancement of AI computing power [2]. Core Applications of AI in the Breeding Industry - **Genomic Selection**: This technology analyzes vast amounts of genetic markers to accurately predict key traits such as crop yield, quality, and disease resistance. AI can reduce the breeding cycle from 7-10 years to 4-6 years and improve trait prediction accuracy by 10-25%, while significantly lowering field validation costs. Leading companies like Bayer and KWS have implemented this at scale for major crops [6]. - **Phenotypic Analysis**: AI enhances the efficiency and accuracy of collecting phenotypic data through automated analysis of plant growth, disease severity, and canopy structure using drones and hyperspectral cameras. This technology increases selection efficiency by 5-10 times and provides objective quantitative data for field trials [7]. - **Hybrid Combination Prediction**: AI integrates multi-dimensional data to improve the accuracy of predicting successful hybrid combinations, addressing the issue where over 95% of traditional combinations fail to meet expectations. This allows for the early elimination of ineffective combinations, focusing resources on high-potential materials [8]. - **Environmental Modeling**: AI constructs G×E (genotype × environment) models to predict how different genotypes perform in various environments, facilitating a shift from reliance on multi-site trials to model-driven predictions, thus overcoming geographical limitations in breeding [10]. Global Application Status: From Experimental Exploration to Large-Scale Implementation - The global breeding industry has formed three distinct tiers in AI application: - Leading seed companies like Bayer and Syngenta have established comprehensive data infrastructures and AI breeding systems, creating high technical barriers [12]. - Research institutions such as CGIAR and USDA are driving innovation in AI breeding projects for staple crops, providing theoretical and technical support [13]. - Small and medium enterprises are gaining capabilities through SaaS platforms, allowing them to access advanced breeding tools at lower costs [13]. Commercialization Models and Industry Transformation Directions - Three main commercialization models have emerged in AI breeding: - **SaaS Software Subscription Model**: Targets small and medium breeding companies, offering tiered pricing based on image processing volume or trial area, lowering the application threshold for AI technology [15]. - **Data Analysis Service Model**: Provides specialized services for specific breeding projects, converting professional knowledge into value [15]. - **AI-Driven New Variety Commercialization**: This mainstream model for seed companies enhances breeding efficiency, leading to faster market introduction and more stable traits, ultimately increasing seed sales revenue [15]. Future Prospects: AI Will Reshape the Global Breeding Competitive Landscape - The breeding industry is expected to undergo three distinct development stages driven by AI: - **Short-term (1-3 years)**: Rapid commercialization of single-point AI tools, with phenotypic analysis AI leading the way and genomic selection solidifying its mainstream status [17]. - **Mid-term (3-7 years)**: AI will evolve from single-point tools to a full-process breeding system, with digital field trials becoming common and hybrid combination prediction transitioning into routine production [17]. - **Long-term (7-10 years)**: The deep integration of AI with gene editing technologies will create a closed-loop system, significantly reducing breeding costs by 40-60% and shortening cycles by 30-50% [17]. Domestic Development Status: Breakthroughs in China's AI Breeding Field - The year 2025 is projected to be a landmark year for China's AI breeding, with several innovative achievements: - The Shanghai AI Laboratory, in collaboration with other institutions, launched the first autonomous scientific discovery system in biological breeding, capable of simulating molecular biologist functions [19]. - Zhejiang University and Huawei developed an "AI Breeder" that enhances cotton hybrid breeding efficiency by 20 times and reduces the breeding cycle from 6-8 years to 3-4 years [19]. - The establishment of a unified data platform by the Qiaozhou Bay National Laboratory and Huawei significantly improves breeding efficiency through standardized data collection [19]. Conclusion: AI Initiates the "Second Revolution" in the Breeding Industry - AI is leading the most profound transformation in the breeding industry since the advent of hybrid breeding technology, marking a shift from reliance on experience to data-driven predictions. This revolution fundamentally changes the breeding paradigm from "art" to "science," establishing quantifiable and predictable mathematical models [21]. The integration of AI with gene editing technologies will usher in an era of "precise design" in breeding, redefining competitive dynamics in the global seed industry [21].

Core Insights - The optical and optoelectronic sector saw a slight increase of 0.34% on November 13, with Tianshan Electronics leading the gains [1] - The Shanghai Composite Index closed at 4029.5, up 0.73%, while the Shenzhen Component Index closed at 13476.52, up 1.78% [1] Stock Performance - Tianshan Electronics (301379) closed at 29.65, with an increase of 8.01% and a trading volume of 193,400 shares, amounting to 568 million yuan [1] - Other notable gainers included: - Gobi Jia (920438) at 41.20, up 4.99% [1] - Mulinsen (002745) at 9.33, up 4.71% [1] - Changyang Technology (6628899) at 19.38, up 4.42% [1] - Conversely, the following stocks experienced declines: - Visionox (002387) at 9.66, down 4.36% [2] - Qianzhao Optoelectronics (300102) at 14.22, down 4.05% [2] - ST Yushun (002289) at 35.80, down 2.27% [2] Capital Flow - The optical and optoelectronic sector experienced a net outflow of 343 million yuan from institutional investors, while retail investors saw a net inflow of 324 million yuan [2] - Notable capital flows included: - Tianshan Electronics had a net outflow of 58.29 million yuan from institutional investors [3] - Mulinsen saw a net inflow of 37.24 million yuan from institutional investors [3] - Aolaide (688378) had a net inflow of 35.93 million yuan from institutional investors [3]

Market Overview - The optical and optoelectronic sector experienced a decline of 0.67% on November 11, with Tengjing Technology leading the drop [1] - The Shanghai Composite Index closed at 4002.76, down 0.39%, while the Shenzhen Component Index closed at 13289.0, down 1.03% [1] Stock Performance - Notable gainers in the optical and optoelectronic sector included: - Visionox (002387) with a closing price of 10.25, up 9.98% [1] - Wavelength Optoelectronics (301421) with a closing price of 101.38, up 2.34% [1] - Qianzhao Optoelectronics (300102) with a closing price of 14.55, up 2.32% [1] - Major decliners included: - Tengjing Technology (688195) with a closing price of 119.60, down 7.99% [2] - Lante Optics (688127) with a closing price of 30.50, down 5.89% [2] - Shida Weige (300331) with a closing price of 31.47, down 3.88% [2] Capital Flow - The optical and optoelectronic sector saw a net outflow of 1.31 billion yuan from institutional investors, while retail investors contributed a net inflow of 821 million yuan [2][3] - Key stocks with significant capital flow included: - Dongtian Micro (301183) with a net inflow of 81.75 million yuan from institutional investors [3] - Wavelength Optoelectronics (301421) with a net inflow of 60.91 million yuan from institutional investors [3] - Guoxing Optoelectronics (002449) with a net inflow of 27.93 million yuan from institutional investors [3]

Core Viewpoint - The stocks of Tianfu Communication and Tengjing Technology fell over 8%, with Cambridge Technology, Jingwang Electronics, Shenghong Technology, Zhongji Xuchuang, and Industrial Fulian also experiencing significant declines [1] Group 1 - Tianfu Communication and Tengjing Technology saw a drop exceeding 8% in their stock prices [1] - Cambridge Technology, Jingwang Electronics, Shenghong Technology, Zhongji Xuchuang, and Industrial Fulian were among the companies with the largest declines [1]

Core Insights - Tengjing Technology (688195.SH) is advancing in the high-end optical components sector, focusing on domestic substitution and leveraging core technologies for growth [1][2] - The company has transitioned from a startup to a publicly listed entity in eight years, becoming a key player in optical communication, semiconductor equipment, and quantum technology [1] - The company is committed to enhancing R&D investment and tackling key technologies to lead industry innovation and contribute to a competitive optical advanced manufacturing cluster [1][2] Company Developments - On November 7, the Deputy Secretary of the Fujian Provincial Committee visited Tengjing Technology to discuss the company's innovations and market strategies [1] - Tengjing Technology provides customized precision optical components for high-speed optical modules and subsystems, supporting advancements in telecommunications and data centers [1] - The company has achieved industry-leading levels in several core technologies and has filled domestic gaps in various niche markets [1] Future Outlook - Tengjing Technology aims to align with the national "14th Five-Year" plan, focusing on precision optics and advanced optoelectronic technology innovation [2] - The company is set to accelerate technological breakthroughs and product applications in optical communication and semiconductors, contributing to AI computing and semiconductor localization efforts [2] - The goal is to transition from a "pioneer" to a "leader" in the new round of industrial competition, enhancing the international competitiveness of the optical advanced manufacturing sector [2]