2020-2025年1-11月中国钢材产量统计图 数据来源：国家统计局，智研咨询整理 知前沿，问智研。智研咨询是中国一流产业咨询机构，十数年持续深耕产业研究领域，提供深度产业研 究报告、商业计划书、可行性研究报告及定制服务等一站式产业咨询服务。专业的角度、品质化的服 务、敏锐的市场洞察力，专注于提供完善的产业解决方案，为您的投资决策赋能。 上市企业：宝钢股份（600019）,鞍钢股份（000898）,马钢股份（600808）,沙钢股份（002075）,首钢股 份（000959）,包钢股份（600010）,太钢不锈（000825）,华菱钢铁（000932）,河钢股份（000709）,南 钢股份（600282） 相关报告：智研咨询发布的《2026-2032年中国钢材深加工行业竞争格局分析及投资发展研究报告》 根据国家统计局数据显示：2025年11月中国钢材产量为1.2亿吨，同比下降2.6%；2025年1-11月中国钢 材累计产量为13.3亿吨，累计增长4%。 ...

根据国家统计局数据显示：2025年11月中国粗钢产量为0.7亿吨，同比下降10.9%；2025年1-11月中国粗 钢累计产量为8.9亿吨，累计下降4%。 2020-2025年1-11月中国粗钢产量统计图 上市企业：宝钢股份（600019）,鞍钢股份（000898）,马钢股份（600808）,沙钢股份（002075）,首钢股 份（000959）,包钢股份（600010）,太钢不锈（000825）,华菱钢铁（000932）,河钢股份（000709）,八 一钢铁（600581） 相关报告：智研咨询发布的《2026-2032年中国粗钢行业市场运行态势及发展趋势分析报告》 数据来源：国家统计局，智研咨询整理 知前沿，问智研。智研咨询是中国一流产业咨询机构，十数年持续深耕产业研究领域，提供深度产业研 究报告、商业计划书、可行性研究报告及定制服务等一站式产业咨询服务。专业的角度、品质化的服 务、敏锐的市场洞察力，专注于提供完善的产业解决方案，为您的投资决策赋能。 ...

数据来源：国家统计局，智研咨询整理 上市企业：宝钢股份（600019）,马钢股份（600808）,鞍钢股份（000898）,首钢股份（000959）,河钢股 份（000709）,凌钢股份（600231）,重庆钢铁（601005）,安阳钢铁（600569）,八一钢铁（600581）,南 钢股份（600282） 知前沿，问智研。智研咨询是中国一流产业咨询机构，十数年持续深耕产业研究领域，提供深度产业研 究报告、商业计划书、可行性研究报告及定制服务等一站式产业咨询服务。专业的角度、品质化的服 务、敏锐的市场洞察力，专注于提供完善的产业解决方案，为您的投资决策赋能。 根据国家统计局数据显示：2025年11月中国生铁产量为0.6亿吨，同比下降8.7%；2025年1-11月中国生 铁累计产量为7.7亿吨，累计下降2.3%。 2020-2025年1-11月中国生铁产量统计图 相关报告：智研咨询发布的《2026-2032年中国高纯生铁行业市场产销状况及投资战略研判报告》 ...

1. Report Industry Investment Rating - Unilateral: Cautiously bullish [7] - Arbitrage: On hold - Options: Sell put options 2. Core View of the Report - The resumption progress of the mining end does not meet expectations, processing fees remain low, terminal demand shows a trend of traditional weakness while new energy is relatively strong. Combined with the emotional support from AI and computing power, it is expected that tin prices will maintain a strong pattern. Enterprises in need of buying hedging are advised to buy in batches and on dips between RMB 286,000/ton and RMB 310,000/ton [7] 3. Summary of Each Section Market News and Important Data Mining End - In December 2025, the trading mainlines of the mining end revolved around "the resumption rhythm of Wa State in Myanmar" and "the easing of the situation in the Democratic Republic of the Congo". The beneficiation plants in Wa State only maintained an operating rate of 30 - 40%. The import volume of Wa State before mid - December was only 3,800 tons, a 12% decrease compared with the same period in November. In the Democratic Republic of the Congo, although the land transportation of tin concentrates in the Kivu region resumed, the actual arrival volume was limited due to port congestion in South Africa. The processing fees for tin concentrates in China remained at a low level, and the profits of smelters were compressed. In late December, Wa State announced full resumption of production on January 5, 2026, and it is expected that the domestic concentrate arrival volume in January 2026 will increase by 15 - 20% month - on - month, with processing fees expected to rise slightly [1] Domestic Refined Tin Production and Import and Export - In December, the national refined tin production was expected to be 14,200 tons, a 2.3% month - on - month increase but a 5.7% year - on - year decrease. The operating rate of large - scale smelters in Yunnan increased, while the recycled tin production in Jiangxi decreased. The import and export windows remained closed. In January, with the increase in the ore volume from Wa State and a slight repair of processing fees, the national output may increase by 5% month - on - month to 14,900 tons, and the overall supply will maintain a pattern of "low imports + stable domestic production" [2] Processing End - In December, the tin processing sector showed the characteristic of passive inventory accumulation due to high prices suppressing demand. The processing fees for solder bars remained flat, but the order volume declined. The shipment volume of lead - free solder paste decreased, and only the high - silver solder paste for photovoltaic ribbons maintained a 3% increase. The demand for tin - plated sheets decreased, and the social inventory of tinplate reached an 18 - month high. In January, the demand for processing products is expected to decrease by 8 - 10%, but the demand for photovoltaic ribbons is expected to increase by 5%, and the processing fees will probably remain stable [3] Terminal End - In December, the traditional terminal consumption was cold, while the new energy sector showed a positive trend. In the consumer electronics field, the shipment volume of mobile phones decreased, and the inventory days of TWS earphones and laptops increased. The export of home appliances decreased, while the photovoltaic sector was the only bright spot. The AI server maintained high - level prosperity, and the demand for high - order solder paste increased. The overall tin consumption in the automotive sector increased slightly. In January, the traditional electronic and home appliance orders are expected to decline, but the new energy sector may bring some incremental demand [4] Inventory - In December 2025, the SHFE tin ingot inventory first increased and then decreased, with a net increase of 1,071 tons for the whole month. The social inventory increased by 17%. The LME Asian warehouses continued to destock. In January, the domestic smelter shipment rhythm will slow down, and the SHFE inventory is expected to fall to around 7,500 tons. If the incremental supply from Wa State arrives at the port smoothly, the LME Asian warehouses may restock, and the overall global visible inventory is still at a low level, providing bottom support for tin prices [5][6] Strategy Unilateral - Cautiously bullish. Enterprises in need of buying hedging are advised to buy in batches and on dips between RMB 286,000/ton and RMB 310,000/ton [7] Arbitrage - On hold Options - Sell put options Tin Variety Basis Situation - In December, the basis of mainstream brands against the futures main contract rose from par to a premium of RMB 400/ton, with increased volatility. The premium of Yunnan Tin was RMB 500 - 700, and that of small brands was RMB 0 - 200, with the spread range widening by RMB 100 month - on - month. In January, the deliverable supply is expected to increase by 8 - 10% month - on - month, and the premium of mainstream brands is expected to fall to RMB 200 - 400. The strategy for holders of Yunnan Tin spot is to sell the SN2602 contract to lock in a premium of RMB 300 - 500. Arbitrageurs should pay attention to the spread between February and March, and consider positive arbitrage if the Back structure is greater than RMB 400 [9]

数据来源：国家统计局，智研咨询整理 知前沿，问智研。智研咨询是中国一流产业咨询机构，十数年持续深耕产业研究领域，提供深度产业研 究报告、商业计划书、可行性研究报告及定制服务等一站式产业咨询服务。专业的角度、品质化的服 务、敏锐的市场洞察力，专注于提供完善的产业解决方案，为您的投资决策赋能。 根据国家统计局数据可知：2025年11月全国黑色金属冶炼和压延加工业出口货值为163.9亿元，同比增 长0.7%；2025年1-11月全国黑色金属冶炼和压延加工业累计出口货值为1841.7亿元，累计同比下降 3.7%。 2019年-2025年1-11月全国黑色金属冶炼和压延加工业出口货值统计图 上市公司：中信特钢（000708），河钢股份（000709），中南股份（000717），本钢板材（000761）， 三钢闽光（002110），久立特材（002318），金洲管道（002443），常宝股份（002478），盛德鑫泰 （300881），安阳钢铁（600569），八一钢铁（600581），新钢股份（600782），马钢股份（600808） 相关报告：智研咨询发布的《2026-2032年中国黑色金属矿采选业行业市场全景调查及 ...

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]

Core Insights - The Chinese marine transformer industry has shown strong growth driven by advancements in shipbuilding, marine engineering, and new energy vessels. The demand for efficient, energy-saving, and intelligent marine transformers is increasing due to the global shipping industry's emphasis on energy conservation and China's "dual carbon" strategy [1][10]. Market Overview - The market size of China's marine transformer industry was 7.726 billion yuan in 2023, experiencing a slight decline due to delayed order deliveries and high raw material costs. However, it is projected to reach 8.63 billion yuan in 2024, a year-on-year increase of 11.7%, driven by the recovery of the domestic shipbuilding industry and a significant rise in export orders. By 2025, the market size is expected to reach 9.6 billion yuan [1][11]. Industry Structure - Marine transformers are categorized into dry-type and liquid-immersed types. The dry-type transformers dominate the market for small and medium-sized vessels and near-sea engineering platforms, holding a market share of 64.5% in 2024. Liquid-immersed transformers, known for their high power density and excellent heat dissipation, are widely used in large ocean-going vessels and military ships, accounting for 35.5% of the market [11]. Industry Chain - The upstream of the marine transformer industry includes raw materials such as steel, non-ferrous metals, basic chemical materials, and insulation materials. The midstream involves the production and manufacturing of marine transformers, while the downstream applications primarily focus on ships and offshore drilling platforms [6]. Key Companies - Notable companies in the marine transformer sector include Xinte Electric (301120), Hebei Steel (000709), and Wuhan Huaxing Special Transformer Manufacturing Co., Ltd. These companies are leveraging their understanding of domestic shipbuilding needs and enhancing product reliability and cost control to establish a solid advantage in the mid-range and niche markets [2][12]. Development Trends - The future of marine transformers is expected to focus on three main trends: 1. **Intelligent Upgrades**: Integration of edge computing and AI for real-time data collection and predictive maintenance [15]. 2. **High Protection**: Development of robust designs to withstand harsh marine environments, utilizing advanced materials and structural innovations [16]. 3. **Lightweight Design**: Adoption of new materials and optimized structures to reduce weight, enhancing energy efficiency and operational effectiveness for vessels [17].

Investment Rating - The report maintains a "Recommend" rating for the steel industry [1] Core Insights - The overall profitability of the steel industry is recovering rapidly, with effective cost control measures leading to significant improvements in profit margins [5][6] - In Q3 2025, the steel sector achieved record profits, with net profit margins increasing quarterly, indicating a sustainable recovery in profitability [7][10] - The recovery in profitability is broadening, with leading companies showing faster recovery rates compared to their peers, highlighting the advantages of scale and cost management [19][24] - Investment recommendations focus on companies with stable high dividends, those with high technical barriers, and upstream resource companies benefiting from improved supply dynamics [27] Summary by Sections 1. Industry Profitability Recovery and Cost Control - The profitability of the steel industry has shown significant improvement, with a total profit of 111.5 billion yuan from January to November 2025, a year-on-year increase of 1,752.2% [5] - The SW steel sector reported a net profit of 20.147 billion yuan in the first three quarters of 2025, marking a turnaround from losses in the previous year [5][6] 2. Record Profits in Q3 2025 - In Q3 2025, the steel sector generated revenue of 480.123 billion yuan, a slight year-on-year increase of 0.07%, while costs decreased by 4.42% [7][8] - The net profit for Q3 2025 reached 8.716 billion yuan, reflecting a 12.16% increase from the previous quarter and a significant recovery from losses in the same period last year [7][10] 3. Broadening Profit Recovery and Leading Companies - Leading steel companies like Baosteel and Shougang have demonstrated strong profit recovery, with Shougang's net profit increasing by 368.13% year-on-year [19][20] - The recovery in profitability is not limited to top firms; several smaller companies have also turned losses into profits, indicating a broad improvement across the sector [24] 4. Investment Recommendations - The report suggests focusing on companies with stable high dividends, such as CITIC Special Steel and Hualing Steel, as well as those with high technical barriers like Fangda Special Steel [27] - Upstream resource companies like Baotou Steel and Hainan Mining are also recommended due to expected improvements in supply dynamics [27]

Group 1 - The core point of the announcement is the resolution of the third extraordinary general meeting of shareholders held by Hebei Iron and Steel Co., Ltd., which confirmed the approval of several proposals without any dissenting votes [1][2] - The meeting was held on December 29, 2025, with a combination of on-site and online voting, ensuring compliance with relevant laws and regulations [3][4] Group 2 - A total of 497 shareholders attended the meeting, representing 6,871,950,746 shares, which accounts for 66.4784% of the total voting shares [5] - Among the attending shareholders, 493 were small shareholders, representing 176,713,698 shares, or 1.7095% of the total voting shares [6] Group 3 - Proposal 1 regarding the expected daily related transactions for 2026 was approved with 142,089,324 votes in favor, representing 80.4065% of the valid votes [9] - Proposal 2 concerning the capital increase to the subsidiary Hebei Letin Steel Co., Ltd. was also approved with 140,552,820 votes in favor, accounting for 79.5370% of the valid votes [11] - Proposal 3, which involved amendments to the company's articles of association, received overwhelming support with 6,851,688,788 votes in favor, representing 99.7051% of the valid votes [13] Group 4 - The legal opinion provided by the law firm confirmed that the meeting's procedures and resolutions were in accordance with relevant laws and the company's articles of association, validating the legitimacy of the meeting [15]

金诚同达律师事务所 法律意见书 北京金诚同达律师事务所 关于 河钢股份有限公司 2025 年第三次临时股东会的 法律意见书 北京市朝阳区建国门外大街 1 号国贸大厦 A 座 10 层 电话：010-5706 8585 传真：010-6518 5057 金诚同达律师事务所 法律意见书 北京金诚同达律师事务所 关于河钢股份有限公司 2025 年第三次临时股东会的 法律意见书 金证法意[2025]字 1229 第 1079 号 致：河钢股份有限公司 北京金诚同达律师事务所（以下简称"本所"）接受河钢股份有限公司（以 下简称"河钢股份"或"公司"）的聘请，指派本所律师出席公司 2025 年第三次 临时股东会（以下简称"本次股东会"）并对会议的相关事项出具法律意见书。 本所律师根据《中华人民共和国公司法》（以下简称"《公司法》"）、《中华 人民共和国证券法》《上市公司股东会规则》（以下简称"《股东会规则》"）《律师 事务所从事证券法律业务管理办法》《律师事务所证券法律业务执业规则（试行）》 等有关法律、法规和规范性文件的要求以及《河钢股份有限公司章程》（以下简 称"《公司章程》"）的规定，对本次股东会的召集、召开程序， ...