Core Viewpoint - The chemical sector has shown a significant rebound, with the chemical ETF (516020) experiencing a rise of 1.17% by the end of the trading day on November 25, 2025, following a brief dip at the opening [1][4]. Group 1: Market Performance - The chemical ETF (516020) reached a maximum intraday increase of 1.43%, with notable gains in sectors such as fluorine chemicals, lithium batteries, potassium fertilizers, and phosphorus chemicals [1]. - Key stocks in the sector included Multi-Fluorine, which surged by 7.26%, and Tianqi Lithium, which rose by 4.36%, with several others like Enjie and Cangge Mining also increasing by over 3% [1]. Group 2: Historical Performance - The chemical ETF's index has recorded a year-to-date increase of 25.08%, outperforming major A-share indices such as the Shanghai Composite Index (15.46%) and the CSI 300 Index (14.12%) [4]. - Over the past five years, the detailed chemical index has shown varied performance, with a peak increase of 51.68% in 2020 and a decline of 26.87% in 2022 [2]. Group 3: Industry Developments - The first large-capacity all-solid-state battery production line in China has been completed and is entering small-scale testing, with energy density expected to double compared to existing batteries, aiming for vehicle testing by 2026 [3]. - The capital expenditure in the basic chemical industry is nearing completion, and the supply-demand dynamics are improving under the "anti-involution" policy [3]. Group 4: Future Outlook - The chemical industry is anticipated to experience dual improvements in performance and valuation due to the "anti-involution" trend, with leading companies likely to gain market share through better management and energy control [5]. - The focus on high-end, intelligent, and green transformation in the chemical sector is supported by national policies aimed at enhancing competitiveness in strategic emerging industries [5].

Group 1 - The chemical sector has regained momentum, with the chemical ETF (516020) experiencing a maximum intraday price increase of 1.43%, closing up 1.04% as of the report [1] - Key stocks in the lithium battery, fluorine chemical, and phosphate chemical sectors have shown significant gains, with companies like Duofluoride rising over 7% and Tianci Materials increasing over 4% [1] - The overall market sentiment indicates a positive outlook for the chemical industry, driven by recent developments and investments in advanced materials and technologies [3][4] Group 2 - Citic Securities anticipates an improvement in the supply-demand structure of the lithium battery industry by 2026, with accelerated industrialization of solid-state batteries creating investment opportunities across various segments [3] - The current valuation of the chemical sector is considered attractive, with the chemical ETF's underlying index trading at a price-to-book ratio of 2.26, which is relatively low compared to historical levels [3] - The chemical industry is expected to benefit from a new round of supply-side reforms, enhancing the market share of leading companies through better management and energy control [3][4] Group 3 - Dongguan Securities highlights the government's focus on high-end, intelligent, and green transformation in the chemical sector, supported by various policies aimed at upgrading key industries [4] - The chemical ETF (516020) is recommended as an efficient way to gain exposure to the chemical sector, with nearly 50% of its holdings in large-cap leading stocks [4] - The report emphasizes the importance of monitoring developments in the new materials and fine chemicals sectors as part of the investment strategy [4]

Core Viewpoint - The energy metals sector experienced a significant decline of 4.72% on November 24, with Shengxin Lithium Energy leading the drop [1] Group 1: Market Performance - The Shanghai Composite Index closed at 3836.77, up 0.05%, while the Shenzhen Component Index closed at 12585.08, up 0.37% [1] - Key stocks in the energy metals sector showed varied performance, with notable declines in several companies such as Tianqi Lithium, which fell by 8.01% [1][2] Group 2: Trading Volume and Capital Flow - The energy metals sector saw a net outflow of 1.099 billion yuan from major funds, while retail investors contributed a net inflow of 1.106 billion yuan [2][3] - Specific stocks like Rongjie Co. and Shengxin Lithium Energy faced significant capital outflows, with Rongjie Co. seeing a net outflow of 19.37 million yuan from major funds [3] Group 3: Individual Stock Performance - Shengxin Lithium Energy closed at 32.97, down 9.99%, with a trading volume of 122,700 shares and a transaction value of 405 million yuan [2] - Tianqi Lithium closed at 51.59, down 8.01%, with a trading volume of 1,211,400 shares and a transaction value of 6.293 billion yuan [2]

登录新浪财经APP 搜索【信披】查看更多考评等级 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、担保情况概述 协鑫能源科技股份有限公司（以下简称"公司"）于2025年4月27日召开第八届董事会第四十一次会议， 审议通过了《关于2025年度对外担保额度预计的议案》。董事会同意2025年度公司（含控股子公司）在 公司及下属公司申请金融机构授信及日常经营需要时为其提供对外担保，担保金额上限为336.69亿元人 民币，担保方式包括但不限于保证担保、资产抵押、质押等；如果公司及下属公司在申请金融机构授信 及日常经营需要时引入第三方机构为其提供担保，则公司（含控股子公司）可为第三方机构提供相应的 反担保。公司（含控股子公司）对合并报表范围内子公司提供担保额度为329.01亿元人民币，其中为资 产负债率低于70%的子公司提供担保的额度不超过117.42亿元人民币，为资产负债率高于70%的子公司 提供担保的额度不超过211.59亿元人民币；合并报表范围内子公司为公司提供担保额度为2.10亿元人民 币；公司（含控股子公司）对合营或联营公司提供担保额度为5.58亿元人民币。 ...

Core Viewpoint - The company reported a significant decline in revenue and net profit for Q3 2025, with a revenue of 723 million and a net profit of 951 million, reflecting a quarter-on-quarter decrease of 35.76% and 9.72% respectively [1] Group 1: Copper Segment - The copper segment, particularly the performance of the subsidiary "Julong," remains strong, contributing an investment income of 686 million, which is a 5% increase quarter-on-quarter [2] - In Q3, copper and molybdenum prices increased, with copper production and sales reaching 49,700 tons [2] - The second phase of the Julong project has successfully completed trial operations, ensuring smooth production for the upcoming phase [2] Group 2: Lithium Segment - The lithium segment faced significant challenges due to production halts caused by mining permit issues, leading to a sharp decline in lithium production and sales [3] - In Q3, lithium salt production and sales were 851 tons and 330 tons respectively, with an average selling price of 65,100 per ton (including tax) and a production cost of 34,200 per ton, reflecting a nearly 0.5 million decrease quarter-on-quarter [3] - The company resumed production on October 11, with adjusted annual production and sales plans set at 8,510 tons, expecting Q4 sales to rebound [3] Group 3: Potash Segment - The potash segment continued to optimize costs, contributing approximately 356 million to net profit in Q3 [3] - Potash production and sales were 216,400 tons and 247,900 tons respectively, with an average selling price of 3,196 per ton (including tax), showing a 9% increase quarter-on-quarter [3] - The sales cost was 942 per ton, with a slight decrease quarter-on-quarter, indicating ongoing improvements in the cost structure [3] Group 4: Future Outlook - The company anticipates continued growth potential in its three main business segments: copper, lithium, and potash [4] - The second phase of the Julong project is expected to double production capacity by the end of 2025, with plans for a third phase that could reach a copper production capacity of 600,000 tons [4] - The collaborative development of lithium resources in Tibet is progressing, with the "Mami Cuo" project expected to significantly contribute to future growth [4] - The company is also expanding its overseas potash resource portfolio, currently holding approximately 984 million tons of potassium chloride resources in Laos [4]

- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot spots. The model is based on momentum and trend-following strategies, emphasizing stocks that consistently hit new highs. The calculation formula is: $ 250\text{-day new high distance} = 1 - \frac{Close_{t}}{ts\_max(Close, 250)} $ where $ Close_{t} $ represents the latest closing price, and $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days. If the latest closing price reaches a new high, the distance equals 0; otherwise, it is a positive value indicating the degree of fallback [11][12][13] - The report evaluates the model positively, citing its ability to capture market leaders and trends effectively. It references studies by George (2004), William O'Neil, and Mark Minervini, which highlight the importance of tracking stocks near their 52-week highs for superior returns [11][18] - The report provides backtesting results for the "250-day new high distance" model across major indices as of November 21, 2025. The distances are: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45% [12][13][32] - The report introduces a factor named "Stable New High Stocks" to identify stocks with smooth price paths and sustained momentum. The factor construction involves: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative strength: Top 20% in 250-day price change - Price stability: Ranking top 50% based on metrics like price displacement ratio and smoothness of 250-day new high distance over the past 120 days - Trend continuation: Ranking top 50 stocks based on the average 250-day new high distance over the past five days [24][27][28] - The report evaluates the "Stable New High Stocks" factor positively, citing research by Turan G Bali et al. (2011) and Da et al. (2012), which demonstrate the superior returns of stocks with smooth momentum paths compared to those with jumpy price movements [24][27] - Backtesting results for the "Stable New High Stocks" factor show 15 selected stocks, including Heertai, Sray New Materials, and Zangge Mining. These stocks are distributed across manufacturing and cyclical sectors, with manufacturing focusing on construction and cyclical sectors on non-ferrous metals [28][31][33]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to monitor market trends and identify potential market leaders. It is based on the momentum and trend-following strategy, which has been proven effective in various studies[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ represents the latest closing price - $\text{ts\_max(Close, 250)}$ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value, indicating the degree of decline[11]. - **Model Evaluation**: The model effectively identifies market trends and highlights stocks or indices that are leading the market, aligning with the principles of momentum and trend-following strategies[11][18]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on selecting stocks that exhibit stable price paths and consistent momentum, as smoother price trajectories are associated with stronger momentum effects[24][27]. - **Model Construction Process**: The selection process involves the following criteria: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **Sustainability of New Highs**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected[24][27]. - **Model Evaluation**: The model emphasizes the importance of smooth price paths and consistent momentum, which are less likely to attract excessive attention and thus yield stronger returns[24][27]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Stable New High Stock Selection Model - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative distance of a stock's price from its 250-day high, serving as an indicator of momentum and trend strength[11]. - **Factor Construction Process**: The formula is: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ is the latest closing price - $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor effectively captures momentum and trend-following characteristics, making it a reliable indicator for identifying market leaders[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Calculate the ratio of price displacement to the total price path over a specified period - Rank stocks based on this ratio and select the top performers[24]. - **Factor Evaluation**: The factor highlights stocks with stable momentum, which are less likely to attract excessive attention and thus yield stronger returns[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33]

Group 1 - The report tracks stocks, industries, and sectors that are reaching new highs, indicating market trends and hotspots [1][4][24] - As of November 21, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 4.83%, Shenzhen Component Index 8.65%, CSI 300 6.20%, CSI 500 9.69%, CSI 1000 7.59%, CSI 2000 7.40%, ChiNext Index 12.16%, and STAR 50 Index 16.45% [5][24] - Among the CITIC primary industry indices, the sectors closest to their 250-day new highs include petroleum and petrochemicals, textiles and apparel, basic chemicals, home appliances, and steel [8][24] Group 2 - A total of 1,127 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the basic chemicals, machinery, and power equipment and new energy sectors [2][13][24] - The highest proportion of new high stocks is found in the textiles and apparel, coal, and non-ferrous metals sectors, with respective proportions of 41.41%, 38.89%, and 38.71% [13][24] - The cyclical and manufacturing sectors had the most new high stocks this week, with 364 and 315 stocks respectively [15][24] Group 3 - The report identifies 15 stocks that have shown stable new highs, including Heertai, Sry New Materials, and Cangge Mining, with the manufacturing and cyclical sectors contributing the most stocks [3][20][25] - The construction industry had the highest number of new highs within the manufacturing sector, while the non-ferrous metals industry led in the cyclical sector [20][25]

Core Viewpoint - The report indicates a mixed outlook for the metals industry, with price fluctuations influenced by macroeconomic factors, supply disruptions, and changing monetary policies, particularly regarding interest rates [2][4][6]. Group 1: Lithium Prices - In the first three quarters of 2025, the average price of domestic battery-grade lithium carbonate (99.5% purity) and lithium hydroxide (56.5% purity) was 71,339.89 CNY/ton and 67,844.81 CNY/ton, respectively, representing year-on-year declines of 25.17% and 21.47% compared to the same period in 2024 [1][5]. - The price decline for lithium products has slowed in the first half of 2025, with a rebound observed in the third quarter, suggesting a potential turning point [5]. Group 2: Precious Metals - Precious metal prices have been supported by expectations of interest rate cuts, with gold prices experiencing a significant upward trend in the third quarter of 2025 [3][6]. - The overall labor market remains balanced despite a decline in non-farm employment, indicating potential economic weakness and rising inflation concerns, which further support precious metal prices [3]. Group 3: Industrial Metals - The third quarter of 2025 saw increased expectations for interest rate cuts, which provided support for industrial metal prices, particularly copper, amid supply disruptions from incidents like the Grasberg copper mine accident in Indonesia [4][6]. - The average price of LME copper in the first three quarters was 9,561.07 USD/ton, up 4.71% from 9,131.16 USD/ton in the same period of 2024, while LME aluminum prices rose by 8.44% [4]. Group 4: Energy Metals - The energy metals sector appears to have reached a bottom, with signs of a potential rebound following price declines in the first half of 2025 [5]. - The average price of cobalt in the first three quarters was 226,241.76 CNY/ton, reflecting a year-on-year increase of 6.78%, driven by a significant rebound in September [5]. Group 5: Investment Recommendations - The report suggests that despite uncertainties regarding interest rate cuts in December, the medium-term outlook for macroeconomic easing is strong, which will support non-ferrous metal prices [6]. - Companies to watch include Zijin Mining, Zhongjin Gold, Shandong Gold, Luoyang Molybdenum, Western Mining, Tongling Nonferrous Metals, Hailiang Co., Cangge Mining, Ganfeng Lithium, and Huayou Cobalt [6].

Core Insights - The energy metals sector experienced a slight increase of 0.09% on November 20, with Shengxin Lithium Energy leading the gains [1] - The Shanghai Composite Index closed at 3931.05, down 0.4%, while the Shenzhen Component Index closed at 12980.82, down 0.76% [1] Stock Performance - Shengxin Lithium Energy (002240) closed at 40.70, up 6.77% with a trading volume of 1.47 million shares and a transaction value of 6.01 billion [1] - Rongjie Co., Ltd. (002192) closed at 65.51, up 3.56% with a trading volume of 516,200 shares and a transaction value of 3.41 billion [1] - Cangge Mining (000408) closed at 62.50, up 2.73% with a trading volume of 239,400 shares and a transaction value of 1.50 billion [1] - Other notable stocks include Xiyang Mining (000762) down 0.10% and Huayou Cobalt (603799) down 0.68% [1] Capital Flow - The energy metals sector saw a net outflow of 268 million from institutional investors, while retail investors experienced a net outflow of 92.67 million [2] - Speculative funds recorded a net inflow of 360 million [2] Individual Stock Capital Flow - Shengxin Lithium Energy had a net inflow of 249 million from institutional investors, but a net outflow of 137 million from speculative funds [3] - Yongxing Materials (002756) saw a net inflow of 21.27 million from institutional investors and a net outflow of 32.85 million from retail investors [3] - Huayou Cobalt experienced a net outflow of 45.14 million from institutional investors, while speculative funds had a net inflow of 52.76 million [3]