Investment Rating - The report maintains an "Overweight" rating for the copper industry [6] Core Viewpoints - The report is optimistic about the upward trend of copper prices in 2026, driven by tight supply and improving demand [4][10] - As of January 30, 2026, the SHFE copper closing price was 103,680 CNY/ton, up 2.31% from January 23, while the LME copper closing price was 13,071 USD/ton, down 0.44% [1][17] - The report highlights a decrease in domestic copper social inventory by 2.2% and an increase in LME copper inventory by 2.6% [2][25] Supply Summary - In January 2026, China's electrolytic copper production was 1.1793 million tons, a 0.1% increase month-on-month and a 16.3% increase year-on-year [3][65] - The TC spot price was -50.30 USD/ton, remaining at a low level since September 2007 [3][60] - Domestic copper concentrate inventory at major ports was 673,000 tons, down 6.8% from the previous week [2][46] Demand Summary - The cable industry's operating rate increased by 0.8 percentage points to 59.46% as of January 29, 2026 [4][74] - Air conditioning production for February to April 2026 is projected to decline by 31.6%, 6.5%, and increase by 4.0% year-on-year [4][92] - The report indicates that the cable sector accounts for approximately 31% of domestic copper demand [4] Investment Recommendations - The report recommends investing in Zijin Mining, Western Mining, Luoyang Molybdenum, and Jincheng Mining, while also paying attention to Tongling Nonferrous Metals [4]

Group 1 - The A-share market showed a significant upward trend in January 2026, with major indices rising, particularly the Sci-Tech 50 and CSI 500, while the Shanghai Composite Index increased by 3.8% [5][10] - Market trading volume increased significantly, with a record high of 3.99 trillion yuan on January 14, 2026, reflecting a recovery in investor sentiment [10][18] - The performance of various sectors was mixed, with non-ferrous metals and media leading gains, while banking and home appliances lagged behind [15][18] Group 2 - The report suggests maintaining a "growth + value" strategy in the Hong Kong stock market, as the overall trend is positive due to earnings recovery, improved liquidity, and low valuations [3][4] - The report emphasizes that small-cap stocks typically outperform during the spring market, driven by increased risk appetite and the influx of retail investors [71][88] - Key sectors to focus on include electronics, power equipment, machinery, non-ferrous metals, and communications, which are expected to perform well in February 2026 [3][4][73] Group 3 - The spring market is anticipated to be characterized by a focus on growth and cyclical sectors, with historical data indicating that these sectors often perform well during this period [73][88] - The report highlights that the consumer sector may receive policy support, as the government emphasizes domestic demand and market expansion [88][89] - Earnings forecasts for 2025 show improvement across various industries, particularly in non-ferrous metals, steel, and media, indicating a positive outlook for these sectors [61][81]

Investment Rating - The report maintains a rating of "Buy" for the pharmaceutical and biotechnology sector [5]. Core Insights - The report emphasizes the continuous focus on investment opportunities related to AI in healthcare, driven by the growth of Tencent's AI applications and the need for data-driven solutions in medical settings [2][21]. - The investment logic centers around "data closed-loop" and "scene demand," highlighting AI's role as a core productivity driver in healthcare under the dual pressures of cost control and technological advancements [22]. - The report outlines a three-stage clinical value investment strategy, focusing on innovative drug chains and medical devices, with specific recommendations for companies in these sectors [3][27]. Summary by Sections Market Review - Last week, the A-share pharmaceutical and biotechnology index fell by 3.31%, underperforming the CSI 300 index by 3.39 percentage points and ranking 22nd among 31 sub-industries [1][15]. - The Hong Kong Hang Seng Medical Health Index also declined by 2.98%, lagging behind the Hang Seng Index by 4.69 percentage points [1][15]. R&D Progress - Recent developments include new drug applications from companies such as Hengrui Medicine and Innovent Biologics, with ongoing clinical trials for various products [30]. Key Companies and Valuation - The report provides a detailed earnings forecast and valuation table for key companies, recommending "Buy" for several firms including Innovent Biologics, WuXi AppTec, and Mindray Medical [4][27]. AI Healthcare Investment Focus - The report identifies several core areas for AI in healthcare, including AI drug development, medical imaging, chronic disease management, and surgical robotics, emphasizing the importance of proprietary data and business scenarios for competitive advantage [22][24]. Annual Investment Strategy - The report suggests that the investment focus should increasingly emphasize the clinical value of pharmaceuticals, with a positive outlook on innovative drug chains and high-end medical devices [3][26].

Investment Ratings - The report maintains a "Buy" rating for both the power equipment and environmental protection sectors [1]. Core Insights - The issuance of the "Notice on Improving the Capacity Price Mechanism for Power Generation" is significant as it establishes an independent capacity price for energy storage on the grid side, aiming to promote orderly and fair competition in the energy storage industry. This policy may lead to a more reasonable expectation for the growth of domestic electrochemical energy storage demand and reduce the upward pressure on lithium carbonate prices [3]. - Investment opportunities highlighted include: - Hydrogen and ammonia: The report suggests focusing on companies like Jidian Co., China Tianying, and others due to favorable policies and market conditions [3]. - Space photovoltaic: The report notes that the current market liquidity is abundant, and the photovoltaic sector may see sustained interest [3]. - Weight stocks rebound: After adjustments, key stocks like CATL and others are seen as having value for allocation [3]. Summary by Sections Energy Storage - The domestic energy storage capacity price policy is expected to stabilize market expectations and guide healthy growth in the industry. Key data to monitor include bidding data, installed capacity, and spot market price differences [5]. - In the overseas market, the U.S. is expected to see a rebound in energy storage stocks due to ongoing demand and favorable conditions [6]. Wind Power - The report indicates that China's onshore wind power installed capacity is projected to grow by 9.68% year-on-year in 2024, while offshore wind power is expected to decrease by 40.85%. The total new installed capacity for wind power in 2025 is forecasted to be 119.33 GW, a year-on-year increase of 50.40% [7][10]. Lithium Battery - The report discusses the current state of lithium carbonate prices, which have seen a decline, leading to increased purchasing activity from downstream manufacturers. The overall production of lithium batteries is expected to decrease in February due to seasonal factors [16][19]. Photovoltaics - The report notes that prices for battery and component segments in the photovoltaic industry continue to rise, although the overall market demand remains weak. The production of polysilicon is expected to decrease in February [26].

事件： 1 月 30 日，国家发改委、国家能源局发布《关于完善发电侧容量电价机 制的通知》（下文简称《通知》）。 逐句解读储能容量电价政策：对标煤电、看重顶峰能力、进行清单制管理。 2026 年 2 月 1 日 行业研究 储能容量电价政策发布，推动储能行业有序发展 ——碳中和领域动态追踪（一百七十一） 要点 【1】对服务于电力系统安全运行、未参与配储的电网侧独立新型储能电站，各 地可给予容量电价： 解读：明确容量电价对象为"独立储能"，且权责下沉到地方。 【2】容量电价水平以当地煤电容量电价标准为基础，根据顶峰能力按一定比例 折算（折算比例为满功率连续放电时长除以全年最长净负荷高峰持续时长，最高 不超过 1），并考虑电力市场建设进展、电力系统需求等因素确定。 解读：（1）《通知》中已明确，将通过容量电价回收煤电机组固定成本的比例提 升至不低于 50%，即各省煤电容量电价最低为 165 元/kW。（2）将"顶峰能力" 视为补偿的核心依据。计算方式为满功率连续放电时长（即配储时长）除以全年 最长净负荷高峰持续时长。此前，甘肃发布过类似指标，系统净负荷高峰持续时 长暂定为 6 小时。按此折算，2h 储能系统对应 5 ...

Investment Rating - The report maintains a rating of "Overweight" for the uranium industry, indicating a positive outlook for investment opportunities in this sector [4]. Core Insights - Uranium prices have increased significantly, reaching $98 per pound as of January 28, 2026, which is a 29% rise compared to December 24, 2025. This increase is attributed to strong demand for uranium, highlighted by the launch of a $2 billion trust by SPUT and the restart of the Kashiwazaki-Kariwa Nuclear Power Plant in Japan [1]. - The global supply of natural uranium is expected to remain tight, particularly due to Kazakhstan's significant production cuts planned for 2026, where the state-owned company Kazatomprom will reduce output by approximately 10% [2]. - The United States and China are the largest consumers of uranium, with demand projected to rise to 67,500 tons in 2024, an 8% increase from 2021. However, their domestic production is minimal, accounting for only 2.7% and 0.4% of global production, respectively [2]. - China is anticipated to be a major driver of future nuclear power demand, with projections indicating that by 2030, it will have the largest installed nuclear capacity globally. By 2035, nuclear power is expected to constitute 10% of China's energy mix [3]. - The U.S. is considering expanding its strategic uranium reserves to reduce reliance on Russian supplies, which may further support uranium prices [3]. Summary by Sections Uranium Price Trends - As of January 28, 2026, uranium futures prices have risen to $98 per pound, marking a 29% increase from late December 2025 [1]. Supply Dynamics - Kazakhstan, which holds 13% of global uranium resources, produced 43% of the world's uranium output, but its mining operations are not sustainable. The largest producer, Kazatomprom, plans to cut production by 10% in 2026 [2]. Demand Outlook - The global demand for uranium is expected to grow, with the U.S. and China leading consumption. In 2024, U.S. demand is projected at 18,100 tons, while China's demand is expected to reach 13,100 tons [2]. Future Projections - By 2050, global nuclear power capacity is predicted to reach 2.6 times the levels of 2024, with China being a key contributor to this growth [3].

Investment Rating - The report maintains an "Overweight" rating for the petrochemical sector [5] Core Views - Geopolitical tensions are driving oil prices upward, with expectations for 2026 oil prices to fluctuate between $60 and $80 per barrel [1] - The report highlights that the geopolitical risk premium for oil prices has increased due to escalating tensions in Iran, contributing to a rise in oil prices [1] - The report anticipates a positive outlook for oil demand, with the IEA projecting a growth of 930,000 barrels per day in global oil demand for 2026, surpassing the 850,000 barrels per day growth expected for 2025 [1] - The "three major oil companies" (China National Petroleum Corporation, Sinopec, and CNOOC) are expected to maintain high capital expenditures and strengthen their positions in the natural gas market, which will support long-term growth [2] - The report indicates that the petrochemical industry is transitioning from a simple "reduce oil, increase chemicals" approach to a focus on high-value transformation, which is expected to improve the industry's supply-demand dynamics [3] - The report suggests that the refining and chemical fiber sectors will benefit from a recovery in industry conditions, with a reduction in low-price competition due to policy changes [3] Summary by Sections Oil Industry Database - Brent and WTI crude oil futures prices as of January 30, 2026, were reported at $69.83 and $65.74 per barrel, reflecting increases of 6.7% and 7.3% respectively from the previous week [1] - The report notes that the marginal cost of U.S. shale oil is approximately $65 per barrel, which may lead to a reduction in supply [1] Supply and Demand - The report emphasizes that the supply side is expected to continue clearing, with improvements in the refining sector anticipated as capacity expansion nears its end [3] - The report also highlights that the demand for petrochemical products is expected to recover as macroeconomic conditions improve, benefiting leading companies in the sector [4] Investment Recommendations - The report recommends focusing on the "three major oil companies" and their subsidiaries in oil services, as well as leading companies in the refining and chemical fiber sectors [4]

Quantitative Models and Construction Methods 1. Model Name: Volume Timing Model - **Model Construction Idea**: The model uses volume-based timing signals to assess market sentiment and provide trading signals[23] - **Model Construction Process**: - The model evaluates the volume timing signals of major broad-based indices - Signals are categorized as "cautious" or "optimistic" based on volume trends - As of January 30, 2026, all major indices (e.g., SSE Composite Index, CSI 300, etc.) showed "cautious" volume timing signals[24] - **Model Evaluation**: The model provides a straightforward approach to gauge market sentiment but may lack granularity in capturing nuanced market dynamics[23][24] 2. Model Name: Momentum Sentiment Indicator - **Model Construction Idea**: This model identifies market sentiment by analyzing the proportion of stocks with positive returns in the CSI 300 Index over a specific period[24] - **Model Construction Process**: - The indicator is calculated as: $ \text{CSI 300 N-day Upward Stock Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns over N days}}{\text{Total number of CSI 300 stocks}} $ - The indicator is smoothed using two moving averages with different window periods (N1 = 50, N2 = 35) to create a "fast line" and a "slow line" - A buy signal is generated when the fast line exceeds the slow line, and a neutral signal is generated when the fast line falls below the slow line[26][28] - **Model Evaluation**: The indicator is effective in capturing upward market opportunities but may fail to predict downturns accurately. It also tends to miss gains during prolonged market exuberance[25] 3. Model Name: Moving Average Sentiment Indicator - **Model Construction Idea**: This model uses an eight-moving-average system to assess the trend state of the CSI 300 Index and generate trading signals[32] - **Model Construction Process**: - Calculate the eight moving averages of the CSI 300 Index closing price with parameters: 8, 13, 21, 34, 55, 89, 144, and 233 - Assign values to the indicator based on the number of moving averages the current price exceeds: - If the price exceeds more than five moving averages, the sentiment is bullish - Generate a buy signal when the current price exceeds five moving averages[36] - **Model Evaluation**: The model provides a clear framework for trend analysis but may oversimplify complex market dynamics[36] --- Model Backtesting Results 1. Volume Timing Model - All major indices (e.g., SSE Composite Index, CSI 300, CSI 500, etc.) showed "cautious" volume timing signals as of January 30, 2026[24] 2. Momentum Sentiment Indicator - The CSI 300 N-day upward stock proportion indicator was above 60% as of January 30, 2026, indicating high market sentiment[25] - The fast line was above the slow line, suggesting a bullish outlook for the CSI 300 Index[26] 3. Moving Average Sentiment Indicator - The CSI 300 Index was in a "sentiment prosperity zone" as of January 30, 2026, indicating a bullish sentiment[36] --- Quantitative Factors and Construction Methods 1. Factor Name: Cross-sectional Volatility - **Factor Construction Idea**: Measures the dispersion of returns among index constituents to assess the Alpha environment[37] - **Factor Construction Process**: - Calculate the cross-sectional volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[38] - **Factor Evaluation**: The factor effectively captures short-term Alpha opportunities but may not fully reflect long-term trends[37] 2. Factor Name: Time-series Volatility - **Factor Construction Idea**: Measures the volatility of index constituents over time to assess the Alpha environment[38] - **Factor Construction Process**: - Calculate the time-series volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[41] - **Factor Evaluation**: The factor provides insights into market stability but may be less effective in highly volatile markets[38] --- Factor Backtesting Results 1. Cross-sectional Volatility - CSI 300: Recent quarter average volatility at 2.14%, in the 69.55th percentile of the past two years[38] - CSI 500: Recent quarter average volatility at 2.45%, in the 50.79th percentile of the past two years[38] - CSI 1000: Recent quarter average volatility at 2.61%, in the 66.93rd percentile of the past two years[38] 2. Time-series Volatility - CSI 300: Recent quarter average volatility at 0.96%, in the 57.20th percentile of the past two years[41] - CSI 500: Recent quarter average volatility at 1.22%, in the 50.79th percentile of the past two years[41] - CSI 1000: Recent quarter average volatility at 1.17%, in the 64.94th percentile of the past two years[41]

- The momentum factor and profitability factor both achieved positive returns of 0.51% in the overall market stock pool this week, indicating a momentum effect in the market[1][18] - The Beta factor and liquidity factor recorded negative returns of -0.81% and -0.41%, respectively, while other style factors showed average performance[1][18] - In the CSI 300 stock pool, the best-performing factors this week were the P/E ratio factor (1.70%), net profit margin TTM (1.03%), and operating profit margin TTM (1.02%)[1][12] - The worst-performing factors in the CSI 300 stock pool were the post-morning return factor (-3.58%), momentum spring factor (-3.50%), and 5-day reversal factor (-2.98%)[1][12] - In the CSI 500 stock pool, the best-performing factors this week were the inverse P/S ratio TTM (3.25%), inverse P/E ratio TTM (2.67%), and P/E ratio factor (2.45%)[1][14] - The worst-performing factors in the CSI 500 stock pool were the 5-minute return skewness factor (-3.71%), 6-day moving average of transaction amount (-2.69%), and 5-day reversal factor (-2.40%)[1][14] - In the liquidity 1500 stock pool, the best-performing factors this week were the operating cash flow ratio (2.27%), momentum-adjusted small orders (1.65%), and single-quarter ROA (1.62%)[2][16] - The worst-performing factors in the liquidity 1500 stock pool were the 5-minute return skewness factor (-3.03%), morning return factor (-2.65%), and 5-day average turnover rate (-2.21%)[2][16] - The PB-ROE-50 portfolio achieved positive excess returns in the CSI 500 stock pool this week, with an excess return of 0.59%[2][23] - The PB-ROE-50 portfolio recorded an excess return of -0.50% in the CSI 800 stock pool and -2.81% in the overall market stock pool[2][23] - The public fund research stock selection strategy and private fund research tracking strategy both recorded negative excess returns this week, with the public fund strategy achieving -4.21% and the private fund strategy achieving -1.85% relative to the CSI 800[2][25] - The block trade portfolio achieved a positive excess return of 0.06% relative to the CSI All Share Index this week[2][30] - The directed issuance portfolio achieved a positive excess return of 0.13% relative to the CSI All Share Index this week[2][35]

Report Industry Investment Rating There is no information about the report industry investment rating in the given content. Core Viewpoints - Credit bond issuance volume increased overall on a week - on - week basis, and credit spreads of various industries showed mixed trends [1] - The trading volume of credit bonds decreased on a week - on - week basis [4] Summary by Directory 1. Primary Market 1.1 Issuance Statistics - From January 26 to January 30, 2026, a total of 445 credit bonds were issued, with a total issuance scale of 470.374 billion yuan, a week - on - week increase of 21.90% [11] - In terms of issuance scale, 197 industrial bonds were issued, with a scale of 240.177 billion yuan, a week - on - week increase of 17.79%, accounting for 51.06% of the total credit bond issuance scale; 202 urban investment bonds were issued, with a scale of 118.297 billion yuan, a week - on - week increase of 28.38%, accounting for 25.15%; 46 financial bonds were issued, with a scale of 111.9 billion yuan, a week - on - week increase of 24.58%, accounting for 23.79% [11] - In terms of issuance term, the average issuance term of credit bonds was 2.63 years. The average issuance term of industrial bonds was 2.28 years, urban investment bonds was 3.25 years, and financial bonds was 1.80 years [14] - The average issuance coupon rate of credit bonds was 2.09%. The average issuance coupon rate of industrial bonds was 2.01%, urban investment bonds was 2.23%, and financial bonds was 1.83% [2] 1.2 Cancellation of Issuance Statistics - One credit bond's issuance was cancelled this week [23] 2. Secondary Market 2.1 Credit Spread Tracking - This week, industry credit spreads showed mixed trends. Among Shenwan primary industries, for AAA - rated industries, the largest increase in credit spreads was in the automobile industry (3.6BP), and the largest decrease was in the light industry manufacturing (9.7BP); for AA + - rated industries, the largest increase was in the building materials industry (2.9BP), and the largest decrease was in the food and beverage industry (5.7BP); for AA - rated industries, the largest increase was in the media industry (20.8BP), and the largest decrease was in the agriculture, forestry, animal husbandry and fishery industry (5.6BP) [3] - Coal and steel credit spreads showed mixed trends. For coal, the credit spreads of AAA, AA + and AA levels decreased by 0.4BP, 2.5BP and increased by 1.6BP respectively. For steel, the credit spreads of AAA and AA + levels increased by 2.4BP and decreased by 4.3BP respectively [25] - Credit spreads of urban investment bonds at all levels showed mixed trends, while non - urban investment credit spreads decreased overall. The credit spreads of urban investment bonds at three levels increased by 0.3BP, decreased by 0.8BP and 1.3BP respectively; the credit spreads of non - urban investment bonds at three levels decreased by 0.1BP, 0.3BP and 1BP respectively [25] - State - owned enterprise credit spreads showed mixed trends, while private enterprise credit spreads decreased overall. The credit spreads of central state - owned enterprises at three levels increased by 1.2BP, decreased by 0.7BP and 2.1BP respectively; the credit spreads of local state - owned enterprises at three levels increased by 0.4BP, decreased by 0.2BP and 1BP respectively; the credit spreads of private enterprises at AAA and AA + levels decreased by 4.2BP and 2.1BP respectively [25] - Regional urban investment credit spreads showed mixed trends. The regions with the highest AAA - rated credit spreads were Yunnan, Liaoning and Shaanxi, with credit spreads of 90, 85 and 79BPs respectively; the regions with the highest AA + - rated credit spreads were Qinghai, Gansu and Yunnan, with credit spreads of 122, 118 and 115BPs respectively; the regions with the highest AA - rated credit spreads were Sichuan, Guangxi and Yunnan, with credit spreads of 133, 124 and 121BPs respectively. In terms of week - on - week changes, the region with the largest increase in AAA - rated credit spreads was Guangdong (2.8BP), and the largest decrease was Yunnan (7.9BP); the region with the largest increase in AA + - rated credit spreads was Gansu (1.6BP), and the largest decrease was Shaanxi (6.7BP); the region with the largest increase in AA - rated credit spreads was Shanghai (1.3BP), and the largest decrease was Shandong (3.9BP) [27] 2.2 Trading Volume Statistics - This week, the total trading volume of credit bonds was 1601.302 billion yuan, a week - on - week decrease of 5.09%. Among various credit bonds, the top three in terms of trading volume were commercial bank bonds, corporate bonds and medium - term notes. Specifically, the trading volume of commercial bank bonds was 545.925 billion yuan, a week - on - week decrease of 5.96%, accounting for 34.09% of the total credit bond trading volume; the trading volume of corporate bonds was 455.439 billion yuan, a week - on - week increase of 2.46%, accounting for 28.44%; the trading volume of medium - term notes was 338.276 billion yuan, a week - on - week decrease of 6.63%, accounting for 21.13% [28] 2.3 Actively Traded Bonds This Week - According to DM client data, the top 20 urban investment bonds, industrial bonds and financial bonds in terms of trading volume this week are provided for investors' reference [30]