Core Insights - The company is investing in the controllable nuclear fusion project, highlighting its commitment to clean energy and advanced manufacturing capabilities [1][2] - The investment of 30 million yuan in the Star Ring Fusion project reflects the company's confidence in the market potential and technological value of nuclear fusion [1][2] - The company aims to strengthen its market position in the tank container industry while exploring new business opportunities in high-end medical equipment and controllable nuclear fusion [1][3] Investment in Controllable Nuclear Fusion - The controllable nuclear fusion technology encompasses several cutting-edge fields, including high-temperature superconductors and plasma physics, with significant commercial application prospects [1][2] - Star Ring Fusion, established in October 2021, focuses on the commercial application and research of fusion energy, leveraging a core research team from Tsinghua University [1][2] Strategic Development and New Business Opportunities - The company is the first manufacturer of tank containers in China and has maintained a leading global market share for several years [3] - Following the strategic investment in Star Ring Fusion, the company plans to explore collaborative product development, such as specialized storage tanks for nuclear fusion engineering [3] - The company is also expanding its high-end medical equipment business, having established strategic partnerships with global medical imaging equipment manufacturers like Siemens [3] - The revenue from the medical equipment components segment reached 119 million yuan in the first half of 2025, marking a year-on-year increase of 16.12% [3]

证券代码：301559 证券简称：中集环科 中集安瑞环科技股份有限公司 投资者关系活动记录表 | 上海聚鸣投资管理有限公司 | 薛 潇 | | --- | --- | | 上海东方证券资产管理有限公司 | 沈高翔 | | 上海仟实私募基金管理中心（有限合伙） | 万 勇 | | NAVIGATOR ASSET MANAGEMENT LLC | Henry Lu | | 广州九远私募基金管理股份有限公司 | 樊林杰 | | 上海顶天投资有限公司 | 严子涵 | | 浙商证券股份有限公司 | 翁晋翀 | | Pleiad Investment Advisors Limited | Simon Sun | | 北大方正人寿保险有限公司 | 陈 发 | | 北京高信百诺投资管理有限公司 | 王 亮 | | 上海和谐汇一资产管理有限公司 | 孙纯鹏 | | 建信理财有限责任公司 | 张 婧 | | 新华资产管理股份有限公司 | 刘 婷 | | 广州从头越私募基金 | 王立军、黄金玉 | | 证券时报 | 臧晓松 | | 证券日报 | 郭 振 | | 上海证券报 | 吴绮玥、郑维汉 | | 中国证券报 | 赵鼎、孟培嘉 ...

Group 1 - Shanghai Xinghuan Fusion Energy Technology Co., Ltd. (Xinghuan Fusion) held a project launch and financing signing ceremony in Jiading, Shanghai, with participation from multiple companies including CIMC Enric Holdings Limited and Shanghai Kechuang Group [2] - Xinghuan Fusion, established in October 2021, focuses on the commercial application and technology development of fusion energy, aiming to build a commercially viable controllable fusion reactor [2] - The company employs an original technology route based on high-temperature superconducting strong magnetic field spherical tokamaks, featuring a compact repetitive reconnection fusion technology that significantly reduces device complexity and construction costs compared to traditional tokamak devices [2] Group 2 - Controlled nuclear fusion is recognized as a crucial solution for clean energy and has become a strategically valuable emerging sector in global energy technology [3] - CIMC Enric is leveraging its research and technical advantages to explore new business opportunities in high-end equipment and related strategic fields while solidifying its market position in the tank container business [3] - The collaboration between CIMC Enric and Xinghuan Fusion focuses on the research and manufacturing of core equipment for controllable nuclear fusion, contributing to the development of China's fusion energy initiatives [3]

Investment Rating - The report maintains a "Buy" rating for the company, expecting a relative increase in stock price of over 20% compared to the benchmark index within six months [9][15]. Core Insights - The company has invested in Star Ring Fusion, supporting the development of controllable nuclear fusion technology, with a total investment of 1 billion yuan in the A-round financing [4]. - Star Ring Fusion, established in October 2021, is based on Tsinghua University's technology and aims to complete engineering validation by 2028 and start commercial demonstration by around 2032 [5]. - The company is a leader in the tank container industry, holding approximately 50% of the global market share, and is actively exploring new business opportunities in high-end equipment and medical imaging sectors [6]. Financial Performance and Projections - The company’s projected revenues for 2025, 2026, and 2027 are 2.725 billion yuan, 3.998 billion yuan, and 4.916 billion yuan, respectively, with expected growth rates of -18.62%, 46.69%, and 22.97% [7][11]. - The forecasted net profit attributable to the parent company for the same years is 169 million yuan, 308 million yuan, and 449 million yuan, with growth rates of -44.48%, 82.34%, and 45.93% [9][11]. - The corresponding price-to-earnings ratios (P/E) are projected to be 65.62, 35.99, and 24.66 for the years 2025, 2026, and 2027 [9][11].

人民财讯1月12日电，据中集集团消息，1月12日，上海星环聚能科技有限公司（简称"星环聚能"）投资 协议签约仪式在上海举行。中集环科与上海科创集团、上海未来产业基金、中金资本、上海嘉定科投集 团等多家公司参与星环聚能本轮投资。星环聚能成立于2021年10月，致力于聚变能商业应用及相关技术 研发。星环聚能采用原创技术路线，即在高温超导强磁场球形托卡马克的基础上，以多冲程重复运行、 等离子体电流自有磁场重联加热等为特点的紧凑型重复重联可控聚变技术方案。 转自：证券时报 ...

Core Viewpoint - The tank container industry in China has developed significantly over the past two decades, making China the largest producer of tank containers globally, accounting for 92% of the world's production and sales [2][8]. Industry Development History - The development of the tank container industry in China has gone through four stages: the initial stage (1950-1970), the promotion stage (1980-1990), the rapid growth stage (2000-2010), and the standardization stage (2010-present) [7]. - In the initial stage, the concept of tank containers was not clearly introduced, while the promotion stage saw the gradual entry of tank containers into the market [7]. - By the 21st century, China became a major manufacturer of tank containers, with leading companies like CIMC SAFEWAY and SINGAMAS emerging [7]. Industry Policies - The Chinese government has actively promoted specialized and containerized logistics for chemical products, laying a solid foundation for the sustainable development of tank containers [10]. - Policies such as the "One Port, One Policy" initiative aim to enhance the integration of container rail-water transport, targeting a 15% annual growth in container transport volume by 2027 [10][11]. Industry Chain - The tank container industry chain consists of upstream raw materials and components (steel, alloys, valves), midstream manufacturing, and downstream applications in energy, chemicals, and food and beverage sectors [12][13]. Market Potential - China's tank container production is projected to reach 40,000 units in 2024, representing 95% of global production, with CIMC SAFEWAY maintaining a leading market share [2][8]. - The growth of the liquid chemical, food and beverage, and clean energy logistics markets presents significant opportunities for tank containers [2]. Related Companies - Key listed companies in the tank container sector include CIMC Huaneng (301559), Sifang Technology (603339), and Shengsi Container (00716) [3].

Quantitative Models and Construction Methods 1. Model Name: GAN_GRU - **Model Construction Idea**: The GAN_GRU model combines Generative Adversarial Networks (GAN) for feature generation and Gated Recurrent Unit (GRU) for time-series feature encoding to construct a stock selection factor[4][13][14] - **Model Construction Process**: 1. **GAN Component**: - The generator (G) learns the real data distribution and generates realistic samples from random noise \( z \) (Gaussian or uniform distribution). The generator's loss function is: $$ L_{G} = -\mathbb{E}_{z\sim P_{z}(z)}[\log(D(G(z)))] $$ where \( D(G(z)) \) represents the discriminator's probability of classifying generated data as real[24][25][26] - The discriminator (D) distinguishes real data from generated data. Its loss function is: $$ L_{D} = -\mathbb{E}_{x\sim P_{data}(x)}[\log D(x)] - \mathbb{E}_{z\sim P_{z}(z)}[\log(1-D(G(z)))] $$ where \( D(x) \) is the probability of real data being classified as real, and \( D(G(z)) \) is the probability of generated data being classified as real[27][29][30] - GAN training alternates between optimizing \( G \) and \( D \) until convergence[30] 2. **GRU Component**: - Two GRU layers (GRU(128, 128)) are used to encode time-series features, followed by a Multi-Layer Perceptron (MLP) with layers (256, 64, 64) to predict returns. The final output \( pRet \) is used as the stock selection factor[22] 3. **Feature Input and Processing**: - Input features include 18 price-volume characteristics (e.g., closing price, turnover, etc.) sampled over the past 400 days, with a shape of \( 40 \times 18 \) (40 days of features)[18][19][37] - Features undergo outlier removal, standardization, and cross-sectional normalization[18] 4. **Training Details**: - Training-validation split: 80%-20% - Semi-annual rolling training (June 30 and December 31 each year) - Hyperparameters: batch size equals the number of stocks, Adam optimizer, learning rate \( 1e-4 \), IC loss function, early stopping (10 rounds), max training rounds (50)[18] 5. **Stock Selection**: - Stocks are filtered to exclude ST stocks and those listed for less than six months[18] - **Model Evaluation**: The GAN_GRU model effectively captures price-volume time-series features and demonstrates strong predictive power for stock returns[4][13][22] --- Model Backtesting Results 1. GAN_GRU Model - **IC Mean**: 0.1119*** (2019-2025)[4][41] - **ICIR (non-annualized)**: 0.89[42] - **Turnover Rate**: 0.83X[42] - **Recent IC**: 0.0331*** (December 2025)[4][41] - **1-Year IC Mean**: 0.0669***[4][41] - **Annualized Return**: 37.40%[42] - **Annualized Volatility**: 23.39%[42] - **IR**: 1.60[42] - **Maximum Drawdown**: 27.29%[42] - **Annualized Excess Return**: 22.42%[4][42] --- Quantitative Factors and Construction Methods 1. Factor Name: GAN_GRU Factor - **Factor Construction Idea**: The GAN_GRU factor is derived from the GAN_GRU model, leveraging GAN for price-volume feature generation and GRU for time-series encoding[4][13][14] - **Factor Construction Process**: - The GAN generator processes raw price-volume time-series features (\( Input\_Shape = 40 \times 18 \)) and outputs transformed features with the same shape (\( Input\_Shape = 40 \times 18 \))[37] - The GRU component encodes these features into a predictive factor for stock selection[22] - The factor undergoes industry and market capitalization neutralization and standardization[22] - **Factor Evaluation**: The GAN_GRU factor demonstrates robust performance across various industries and time periods, with significant IC values and excess returns[4][41] --- Factor Backtesting Results 1. GAN_GRU Factor - **IC Mean**: 0.1119*** (2019-2025)[4][41] - **ICIR (non-annualized)**: 0.89[42] - **Turnover Rate**: 0.83X[42] - **Recent IC**: 0.0331*** (December 2025)[4][41] - **1-Year IC Mean**: 0.0669***[4][41] - **Annualized Return**: 37.40%[42] - **Annualized Volatility**: 23.39%[42] - **IR**: 1.60[42] - **Maximum Drawdown**: 27.29%[42] - **Annualized Excess Return**: 22.42%[4][42] 2. Industry-Specific Performance - **Top 5 Industries by Recent IC (October 2025)**: - Social Services: 0.4243*** - Coal: 0.2643*** - Environmental Protection: 0.2262*** - Retail: 0.1888*** - Steel: 0.1812***[4][41][42] - **Top 5 Industries by 1-Year IC Mean**: - Social Services: 0.1303*** - Steel: 0.1154*** - Non-Bank Financials: 0.1157*** - Retail: 0.1067*** - Building Materials: 0.1017***[4][41][42] 3. Industry-Specific Excess Returns - **Top 5 Industries by December 2025 Excess Returns**: - Banking: 4.30% - Real Estate: 3.51% - Environmental Protection: 2.18% - Retail: 1.76% - Machinery: 1.71%[2][45] - **Top 5 Industries by 1-Year Average Excess Returns**: - Banking: 2.12% - Real Estate: 1.93% - Environmental Protection: 1.50% - Retail: 1.46% - Machinery: 1.23%[2][46]

证券日报网讯 12月30日，中集环科发布公告称，公司第二届董事会第十三次会议书面传签召开，8票全 票通过《关于部分募投项目调整建设期的议案》，将"数字化运营升级项目"建设期延至2026年12月，保 荐人中信证券无异议。 （文章来源：证券日报） ...

【市场资讯】中集安瑞环科技股份有限公司（证券简称：中集环科，证券代码：301559）于2025年12月 30日发布董事会决议公告，宣布对公司部分募集资金投资项目的建设期进行调整。 公告显示，公司第二届董事会第十三次会议于2025年12月30日以书面传签方式召开。会议应出席董事8 人，实际亲自出席董事8人，部分高级管理人员列席会议。会议的召集、召开和表决程序符合《公司 法》及《公司章程》的相关规定。 经与会董事审议，会议以8票同意、0票反对、0票弃权的表决结果，审议通过了《关于部分募投项目调 整建设期的议案》。根据议案，公司决定在募集资金投资项目实施主体和投资用途保持不变的情况下， 将"数字化运营升级项目"的建设期调整至2026年12月完成。 公司保荐人中信证券股份有限公司已对上述事项出具了无异议的核查意见。有关本次募投项目调整的具 体内容，投资者可查阅公司同日披露于巨潮资讯网（http://www.cninfo.com.cn）的《关于部分募投项目 调整建设期的公告》。 点击查看公告原文>> 声明：市场有风险，投资需谨慎。 本文为AI大模型基于第三方数据库自动发布，任何在本文出现的信 息（包括但不限于个股、评论 ...

证券代码：301559 证券简称：中集环科 公告编号：2025-039 经与会董事审议表决，形成决议如下： （一）审议通过《关于部分募投项目调整建设期的议案》 同意在募集资金投资项目实施主体、募集资金投资用途不变的情况下，对"数 字化运营升级项目"建设期调整至 2026 年 12 月完成。公司保荐人中信证券股份 有限公司出具了无异议的核查意见。 表决结果：8 票同意，0 票反对，0 票弃权。 中集安瑞环科技股份有限公司 第二届董事会第十三次会议决议公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假 记载、误导性陈述或重大遗漏。 一、董事会会议召开情况 中集安瑞环科技股份有限公司（以下简称"公司"）第二届董事会第十三次会 议于 2025 年 12 月 30 日以书面传签方式召开。会议通知于 2025 年 12 月 25 日以 书面方式发出。本次会议应出席董事 8 人，实际亲自出席董事 8 人。公司部分高 级管理人员列席了本次会议。 本次董事会会议的召集、召开和表决程序符合《中华人民共和国公司法》等 有关法律法规、规范性文件和《中集安瑞环科技股份有限公司章程》的规定。 二、董事会会议审议情况 ...