Investment Rating - The report recommends a "Buy" rating for companies such as Beixin Building Materials and China Jushi, while suggesting an "Overweight" rating for Weixing New Materials [9]. Core Views - The construction materials sector has shown a mixed performance, with cement prices stabilizing while glass and fiberglass sectors face challenges [2][3]. - The recent policy changes in Beijing regarding real estate are expected to influence demand dynamics across the sector [2]. - The report highlights the potential for recovery in the construction materials sector, particularly in municipal engineering projects due to increased government bond issuance [2]. Summary by Sections 1. Market Overview - From August 4 to August 8, 2025, the construction materials sector (SW) increased by 1.24%, with cement rising by 2.81% and glass manufacturing declining by 0.37% [12]. - The net capital inflow for the construction materials sector was -680 million yuan during this period [12]. 2. Cement Industry Tracking - As of August 8, 2025, the national cement price index was 335.96 yuan/ton, a decrease of 0.51% from the previous week [16]. - The national cement output was 2.6415 million tons, down 4.08% week-on-week, with infrastructure cement supply also declining [16]. - The report notes that while infrastructure remains a key demand driver, residential construction demand is weak, and recovery in civil demand is contingent on seasonal factors [16]. 3. Glass Industry Tracking - The average price of float glass was 1274.90 yuan/ton, reflecting a 1.57% decrease from the previous week [6]. - Inventory levels for glass have increased, indicating ongoing supply-demand imbalances [6]. 4. Fiberglass Industry Tracking - The report indicates that fiberglass prices have stabilized after a period of decline, with demand expected to improve due to growth in wind power installations [7]. - The market for electronic yarn remains stable, with high-end products experiencing strong demand [7]. 5. Consumer Building Materials - The consumer building materials sector is benefiting from improved second-hand housing transactions and consumption stimulus policies [2]. - The report continues to recommend companies like Beixin Building Materials and Weixing New Materials for their growth potential [9]. 6. Carbon Fiber Industry Tracking - The carbon fiber market is showing signs of stability, with production levels remaining consistent and demand expected to grow in various applications [8].

Investment Rating - The industry maintains a "Buy" rating [4] Core Views - The gold market is experiencing disruptions due to tariffs and shadow Fed policies, potentially opening a breakthrough window for gold prices [1] - The long-term bullish trend for gold remains intact amid concerns over global monetary credit, public debt, and geopolitical tensions [1] - The copper processing fee is recovering amid expectations of reduced smelting, while aluminum prices are expected to fluctuate due to domestic and international favorable policies [2] - Lithium prices are rebounding strongly due to ongoing supply disruptions, while silicon prices are expected to remain volatile without significant improvements in the fundamentals [2] Summary by Sections Precious Metals - Gold has been included in the category of imported goods subject to tariffs, leading to a temporary price surge above $3,500 per ounce on COMEX [1] - The U.S. government is expected to clarify that imported gold bars should not be subject to tariffs, which may stabilize the market [1] - The price difference between COMEX gold and London gold has narrowed to $4.9 per ounce as of August 8 [1] Industrial Metals - **Copper**: Global copper inventories increased by 35,400 tons, with significant production increases in China [2] - **Aluminum**: The theoretical operating capacity of China's electrolytic aluminum industry reached 44.05 million tons, with mixed production trends in the aluminum rod industry [2] Energy Metals - **Lithium**: Prices for battery-grade lithium carbonate rose by 8.9% to 75,000 yuan per ton, driven by supply disruptions and increased production [2] - **Silicon**: The average cost of metal silicon is 10,028.9 yuan per ton, with a slight increase in production but overall supply exceeding demand [2] Key Stocks - Recommended stocks include: - Xinyi Silver Tin - Shengda Resources - Zijin Mining - Shandong Gold - Chifeng Jilong Gold Mining - Yintai Gold - Zhaojin Mining [1][2]

Investment Rating - The report maintains a "Buy" rating for key stocks in the basic chemical sector, including Dongyangguang, Jingtai Holdings, Zhongyan Dadi, and Weixing Chemical [4]. Core Insights - The basic chemical sector is experiencing a configuration opportunity, with the index declining from a peak of 9565.18 points in September 2021 to a low of 3876.11 points in February 2024, representing a cumulative drop of 59.5% [1]. - The construction project growth rate in the chemical industry has been continuously declining, with a forecasted negative growth rate of -7.3% by Q1 2025 [1]. - The basic chemical index saw a cumulative increase of 5.9% from July 11 to August 8, 2024, while the petroleum and petrochemical index increased by 2.5% during the same period [1]. - Institutional holdings in the basic chemical sector peaked in Q3 2021 at 6.69%, but have since declined to 3.72% by Q2 2025 [1]. Summary by Sections Solid-State Battery Materials - Solid-state batteries are expected to significantly enhance energy density, with potential to exceed 500 Wh/kg, compared to traditional lithium-ion batteries which struggle to surpass 300 Wh/kg [2]. - The report highlights the importance of solid-state battery materials, including polymer, oxide, and sulfide types, with a focus on sulfide materials for future full solid-state batteries [2]. - Companies to watch in this sector include Daoshi Technology and Changyang Technology, as they are positioned to benefit from the anticipated industrialization of solid-state batteries starting in 2026 [2]. AI4S and AI Materials Investment Opportunities - AI4S is rapidly penetrating the pharmaceutical and chemical industries, with significant growth in innovative drug licensing transactions reaching 41 deals worth $36.929 billion in Q1 2025 [3]. - AI technologies are expected to replace traditional drug development processes, enhancing efficiency and reducing costs [3]. - The report identifies key players in AI4S, including Jingtai Holdings and Zhizhi New Materials, as well as suppliers of AI-specific hardware and materials [3].

Investment Rating - The report maintains a "Buy" rating for Xiaomi Group [3][5] Core Views - Xiaomi's smartphone shipments reached 42.4 million units in Q2 2025, showing a slight increase from 42.3 million units in the same period last year, maintaining a global market share of 15% [1] - The company achieved record sales during the 618 shopping festival, with total payments exceeding 35.5 billion yuan [1] - The launch of the YU7 luxury SUV has seen strong demand, with over 200,000 units reserved within 3 minutes of its announcement [2] Financial Projections - Revenue projections for 2025-2027 are 475.1 billion yuan, 618.9 billion yuan, and 743.9 billion yuan, representing year-on-year growth of 30%, 30%, and 20% respectively [3][4] - Adjusted net profit estimates for the same period are 40.8 billion yuan, 57.2 billion yuan, and 74.1 billion yuan [3][4] - The report anticipates a non-GAAP EPS of 1.6 yuan, 2.2 yuan, and 2.8 yuan for 2025, 2026, and 2027 respectively [4][12] Market Performance - Xiaomi's smartphone sales in China reached 10.4 million units in Q2 2025, with a market share increase to 15% [1] - The company has also seen significant growth in its IoT and consumer products segment, with a projected revenue of 132.1 billion yuan in 2025 [12] - The report highlights Xiaomi's strong performance in various markets, including Latin America and Africa, driven by product strength [1][2]

Quantitative Models and Construction Methods - **Model Name**: Index Enhanced Portfolio **Construction Idea**: The model aims to outperform benchmark indices by leveraging quantitative strategies and factor exposures[2][48] **Construction Process**: - The portfolio is constructed using a strategy model that selects stocks based on factor exposures and optimization techniques - The model incorporates historical data and factor analysis to identify stocks with high expected returns relative to the benchmark - Portfolio weights are optimized to maximize excess returns while controlling for risk and tracking error[48][49][54] **Evaluation**: The model has demonstrated consistent excess returns over its benchmark indices, showcasing its effectiveness in active management[48][54] - **Model Name**: Factor Attribution Model **Construction Idea**: This model decomposes portfolio or index returns into contributions from various style factors to understand performance drivers[68] **Construction Process**: - The model uses the BARRA factor framework, which includes factors such as size (SIZE), beta (BETA), momentum (MOM), residual volatility (RESVOL), non-linear size (NLSIZE), valuation (BTOP), liquidity (LIQUIDITY), earnings yield (EARNINGS_YIELD), growth (GROWTH), and leverage (LVRG)[58][68] - Factor exposures are calculated for each stock in the portfolio or index - Portfolio returns are attributed to factor contributions using regression-based methods[68] **Evaluation**: The model provides valuable insights into the sources of portfolio performance, aiding in strategy refinement and risk management[68] Model Backtesting Results - **Index Enhanced Portfolio**: - **Mid-Cap Enhanced Portfolio (CSI 500)**: Weekly return of 1.99%, outperforming the benchmark by 0.22%; cumulative excess return since 2020: 50.26%; maximum drawdown: -4.99%[48][49] - **Large-Cap Enhanced Portfolio (CSI 300)**: Weekly return of 1.85%, outperforming the benchmark by 0.61%; cumulative excess return since 2020: 34.90%; maximum drawdown: -5.86%[54][56] Quantitative Factors and Construction Methods - **Factor Name**: Momentum (MOM) **Construction Idea**: Captures the tendency of stocks with strong past performance to continue outperforming in the short term[58][59] **Construction Process**: - Momentum is calculated as the cumulative return over a specified look-back period (e.g., 6 months or 12 months) - Stocks are ranked based on their momentum scores, and portfolios are constructed by overweighting high-momentum stocks[58][59] **Evaluation**: Momentum factor exhibited high excess returns during the week, indicating strong market preference for trending stocks[59] - **Factor Name**: Beta (BETA) **Construction Idea**: Measures the sensitivity of a stock's returns to market movements, capturing risk exposure[58][59] **Construction Process**: - Beta is calculated using regression analysis of stock returns against market returns over a historical period - High-beta stocks are identified and analyzed for their risk-return trade-offs[58][59] **Evaluation**: High-beta stocks performed well during the week, reflecting market preference for riskier assets[59] - **Factor Name**: Growth (GROWTH) **Construction Idea**: Represents the expected earnings growth of a company, capturing future potential[58][59] **Construction Process**: - Growth is estimated using forward-looking metrics such as analyst earnings forecasts and historical growth rates - Stocks are ranked based on growth scores, and portfolios are constructed by overweighting high-growth stocks[58][59] **Evaluation**: Growth factor underperformed during the week, indicating reduced market preference for growth-oriented stocks[59] Factor Backtesting Results - **Momentum Factor**: Weekly excess return was significantly positive, outperforming other style factors[59][66] - **Beta Factor**: High-beta stocks showed strong performance, contributing positively to portfolio returns[59][66] - **Growth Factor**: Underperformed during the week, reflecting weak market sentiment toward growth stocks[59][66] Additional Observations - **Sector Factors**: - Defense, metals, and coal sectors exhibited high excess returns relative to market-cap-weighted benchmarks[59][63] - Sectors such as healthcare, IT, and media experienced significant drawdowns[59][63] - **Market Sentiment**: - Sentiment indicators based on volatility and trading volume suggest a bullish outlook for the market[36][39][41]

Quantitative Models and Construction Methods - **Model Name**: Timing Radar Hexagon **Model Construction Idea**: This model evaluates equity market performance based on multiple dimensions, including liquidity, economic fundamentals, valuation, capital flows, technical signals, and crowding. It aggregates 21 indicators into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a comprehensive timing score within the range of [-1, 1][2][7][9] **Model Construction Process**: The model selects 21 indicators across six dimensions, normalizes their scores, and aggregates them into four broader categories. The final timing score is calculated as a weighted average of these categories[2][7][9] **Model Evaluation**: The model provides a comprehensive and multi-dimensional perspective on market timing, offering insights into market sentiment and potential turning points[2][7][9] Quantitative Factors and Construction Methods - **Factor Name**: Monetary Direction Factor **Factor Construction Idea**: This factor assesses the direction of monetary policy by analyzing changes in central bank policy rates and short-term market rates over the past 90 days[13] **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days - If the factor value > 0, monetary policy is deemed accommodative; if < 0, it is deemed tight[13] **Factor Evaluation**: Provides a clear signal of monetary policy direction, aiding in market timing[13] - **Factor Name**: Monetary Strength Factor **Factor Construction Idea**: This factor measures the deviation of short-term market rates from policy rates using the "interest rate corridor" concept[16] **Factor Construction Process**: - Compute the deviation as: $ \text{Deviation} = \frac{\text{DR007}}{\text{7-Year Reverse Repo Rate}} - 1 $ - Smooth and standardize the deviation using z-scores - Assign scores based on thresholds: <-1.5 SD (accommodative, score = 1), >1.5 SD (tight, score = -1)[16] **Factor Evaluation**: Effectively captures short-term liquidity conditions relative to policy rates[16] - **Factor Name**: Credit Direction Factor **Factor Construction Idea**: This factor evaluates the trend in credit transmission to the real economy using medium- and long-term loan data[19] **Factor Construction Process**: - Calculate the year-over-year growth of medium- and long-term loans over the past 12 months - Compare the current trend to three months prior - Assign scores: upward trend (score = 1), downward trend (score = -1)[19] **Factor Evaluation**: Reflects the credit environment's impact on economic activity[19] - **Factor Name**: Credit Strength Factor **Factor Construction Idea**: This factor measures whether credit data significantly exceeds or falls short of expectations[22] **Factor Construction Process**: - Compute: $ \text{Credit Strength Factor} = \frac{\text{New RMB Loans (Current Month) - Median Expectation}}{\text{Standard Deviation of Expectations}} $ - Assign scores based on thresholds: >1.5 SD (credit exceeds expectations, score = 1), <-1.5 SD (credit falls short, score = -1)[22] **Factor Evaluation**: Captures unexpected changes in credit conditions, providing insights into market sentiment[22] - **Factor Name**: Growth Direction Factor **Factor Construction Idea**: This factor uses PMI data to assess the direction of economic growth[23] **Factor Construction Process**: - Calculate the 12-month moving average of PMI data and its year-over-year change - Compare the current trend to three months prior - Assign scores: upward trend (score = 1), downward trend (score = -1)[23] **Factor Evaluation**: Provides a timely signal of economic growth trends[23] - **Factor Name**: Growth Strength Factor **Factor Construction Idea**: This factor evaluates whether economic growth data significantly exceeds or falls short of expectations[27] **Factor Construction Process**: - Compute: $ \text{Growth Strength Factor} = \frac{\text{PMI - Median Expectation}}{\text{Standard Deviation of Expectations}} $ - Assign scores based on thresholds: >1.5 SD (growth exceeds expectations, score = 1), <-1.5 SD (growth falls short, score = -1)[27] **Factor Evaluation**: Highlights unexpected changes in economic growth, aiding in market timing[27] - **Factor Name**: Inflation Direction Factor **Factor Construction Idea**: This factor assesses the direction of inflation using CPI and PPI data[28] **Factor Construction Process**: - Compute: $ \text{Inflation Direction Factor} = 0.5 \times \text{Smoothed CPI YoY} + 0.5 \times \text{Raw PPI YoY} $ - Compare the current trend to three months prior - Assign scores: downward trend (score = 1), upward trend (score = -1)[28] **Factor Evaluation**: Reflects the inflationary environment's impact on monetary policy and market sentiment[28] - **Factor Name**: Inflation Strength Factor **Factor Construction Idea**: This factor evaluates whether inflation data significantly exceeds or falls short of expectations[32] **Factor Construction Process**: - Compute the average of CPI and PPI expectation deviations: $ \text{Inflation Strength Factor} = \frac{\text{CPI Deviation + PPI Deviation}}{2} $ - Assign scores based on thresholds: <-1.5 SD (inflation falls short, score = 1), >1.5 SD (inflation exceeds, score = -1)[32] **Factor Evaluation**: Captures unexpected changes in inflation, aiding in market timing[32] - **Factor Name**: Shiller ERP **Factor Construction Idea**: This factor adjusts earnings for inflation and economic cycles to evaluate equity valuation[33] **Factor Construction Process**: - Compute: $ \text{Shiller ERP} = \frac{1}{\text{Shiller PE}} - \text{10-Year Treasury Yield} $ - Standardize using a 3-year z-score[33] **Factor Evaluation**: Provides a long-term perspective on equity valuation relative to bonds[33] - **Factor Name**: PB **Factor Construction Idea**: This factor evaluates equity valuation using the price-to-book ratio[37] **Factor Construction Process**: - Compute: $ \text{PB Score} = \text{PB} \times (-1) $ - Standardize using a 3-year z-score, truncating at ±1.5 SD[37] **Factor Evaluation**: Offers insights into market valuation extremes[37] - **Factor Name**: AIAE **Factor Construction Idea**: This factor measures aggregate investor allocation to equities, reflecting market risk appetite[39] **Factor Construction Process**: - Compute: $ \text{AIAE} = \frac{\text{Total Market Cap of CSI All Share}}{\text{Total Market Cap + Total Debt}} $ - Standardize using a 3-year z-score[39] **Factor Evaluation**: Captures shifts in market-wide risk preferences[39] Backtesting Results of Factors - **Monetary Direction Factor**: Current score = 1[13] - **Monetary Strength Factor**: Current score = -1[17] - **Credit Direction Factor**: Current score = 1[19] - **Credit Strength Factor**: Current score = -1[22] - **Growth Direction Factor**: Current score = -1[23] - **Growth Strength Factor**: Current score = -1[27] - **Inflation Direction Factor**: Current score = 1[28] - **Inflation Strength Factor**: Current score = 0[32] - **Shiller ERP**: Current score = -0.12[33] - **PB**: Current score = -0.86[37] - **AIAE**: Current score = -0.68[39]

Quantitative Models and Construction 1. Model Name: CSI 500 Index Enhanced Strategy - **Model Construction Idea**: The model aims to enhance the performance of the CSI 500 Index by leveraging quantitative investment strategies, focusing on stock selection within the index constituents to generate alpha while maintaining tight tracking to the benchmark index [3][48][76] - **Model Construction Process**: 1. **Index Composition**: The CSI 500 Index is constructed by excluding the top 300 largest stocks by market capitalization and selecting the next 500 largest stocks from the remaining universe of A-shares [43][44][45] 2. **Quantitative Stock Selection**: The enhanced strategy focuses on selecting stocks with high profitability, high growth, and small market capitalization within the CSI 500 Index constituents [68][73] 3. **Risk Control**: The fund aims to control tracking error by ensuring the daily tracking deviation does not exceed 0.5% and annualized tracking error remains below 8% [57][76] 4. **Periodic Adjustments**: The index constituents are adjusted semi-annually, and the fund rebalances accordingly to maintain alignment with the benchmark [46] - **Model Evaluation**: The strategy demonstrates strong alpha generation capabilities, primarily driven by superior stock selection rather than sector or style deviations [73] --- Model Backtesting Results CSI 500 Index Enhanced Strategy - **Annualized Return**: 9.32% for the fund, compared to 0.82% for the CSI 500 Index benchmark [48][49] - **Annualized Information Ratio (IR)**: 2.26, significantly higher than peers [48][62] - **Annualized Tracking Error**: 3.87%, indicating tight tracking to the benchmark [57][62] - **Maximum Drawdown**: 22.46% for the fund, compared to 28.77% for the benchmark [49] - **Monthly Excess Return Win Rate**: 76.92%, showcasing consistent outperformance [61] --- Quantitative Factors and Construction 1. Factor Name: Profitability, Growth, and Size - **Factor Construction Idea**: The fund emphasizes stocks with high profitability, high growth potential, and smaller market capitalization to achieve superior returns [68] - **Factor Construction Process**: 1. **Profitability**: Stocks with higher return on equity (ROE) and net profit margins are overweighted [68] 2. **Growth**: Stocks with higher earnings growth rates are prioritized [68] 3. **Size**: Smaller market capitalization stocks are preferred, as they tend to offer higher alpha potential [68] - **Factor Evaluation**: The fund's factor exposures align with its active management strategy, contributing to its alpha generation [68][73] --- Factor Backtesting Results Profitability, Growth, and Size Factors - **Alpha Contribution**: The fund's alpha is primarily attributed to its stock selection within the CSI 500 Index constituents, with a high "CSI 500 constituent stock ratio" of over 90% [73][75] - **Sector Allocation Impact**: Minimal sector deviations, with the fund closely mirroring the sector weights of the CSI 500 Index while achieving excess returns through stock selection [71][72]

Group 1: Report Industry Investment Rating - Not provided in the content Group 2: Core Viewpoints of the Report - The bond market continued its recovery this week, with most interest rates declining to varying degrees, especially short - term and credit interest rates. The short - term interest rate's further downward breakthrough momentum is weak, and the bond market may experience short - term phased oscillations, with the subsequent interest rate more likely to break through downward [1][4] - Although other markets and some policies have short - term impacts on the bond market, the continuous loosening of funds provides protection, and the overall pattern of asset shortage in the bond market remains unchanged [2][3][4] Group 3: Summary by Related Content Bond Market Current Situation - This week, the bond market continued its recovery, with short - term and credit interest rates declining more significantly. The 1 - year AAA certificate of deposit rate dropped 1.8bps to 1.62%, and the 1 - year and 5 - year AAA - secondary capital bonds decreased by 2.7bps and 0.7bps respectively. The 10 - year Treasury bond rate fell 1.7bps to 1.69%, while the 30 - year Treasury bond rate rose slightly by 1.1bps to 1.96%. The 10 - year Treasury bond rate has recovered most of its decline from the impact of the stock and commodity markets [1][8] Factors Restraining the Downward Breakthrough of Interest Rates - Other markets still suppress the bond market sentiment. The recent strong performance of the stock market affects the bond market sentiment, especially long - term bonds. The 30 - year Treasury bond has been weak recently due to this factor [2][9] - Institutional caution and the implementation of some growth - stabilizing policies will short - term constrain the bullish forces. In the second quarter of this year, the duration of funds increased significantly, and high positions made institutions operate more cautiously. The relaxation of purchase restrictions in Beijing may also affect the downward force of interest rates [2][11] Factors Protecting the Bond Market - The continuous loosening of funds provides market protection, making it difficult for interest rates to rise significantly. The overnight interest rate is around 1.3%, and R007 is around 1.4%, protecting the overall market. During the market recovery since July 29, short - term interest rates have declined more significantly [3][11] - In the future, funds will remain loose. Financing demand may continue to slow down, government bond supply will decrease, and fund supply is sufficient. The central bank has stated that it will maintain ample liquidity [3][12] Future Outlook for the Bond Market - The bond market may experience short - term phased oscillations. As the fundamentals and asset supply - demand change, the interest rate is more likely to break through downward. From the fundamental perspective, low interest rates are needed to boost domestic demand, and from the asset supply - demand perspective, the decrease in asset supply and continuous loosening of funds will increase the pressure of asset shortage [4][13] - After the phased cooling of the stock and commodity markets, the 10 - year and 30 - year Treasury bonds may oscillate when approaching the pre - adjustment levels of 1.65% and 1.85%. Subsequently, as the fundamentals change and the asset shortage evolves, the interest rate may break through downward, more likely near or in the fourth quarter [4][18]

Investment Rating - The report maintains a rating of "Increase" for the C-REITs sector [5] Core Insights - The C-REITs market is expected to benefit from a low interest rate environment in 2025, with a focus on policy themes and quality undervalued projects [3] - The report highlights the performance of the C-REITs index, which has seen a year-to-date increase of 13.37% as of August 8, 2025 [2][10] - The report identifies three main investment strategies: focusing on policy-driven projects, recognizing the value of weak-cycle assets, and monitoring the expansion of REITs with strong asset reserves [3] REITs Index Performance - The CSI REITs total return index decreased by 0.33% this week, closing at 1097.3 points [1][10] - Year-to-date, the CSI REITs index has increased by 9.93% [2][10] - The report notes that the Hang Seng real estate and construction index had the highest weekly increase of 2.60% [1][10] REITs Secondary Market Performance - The secondary market for C-REITs showed a volatile correction, with a total market capitalization of approximately 220.87 billion yuan and an average market value of about 3 billion yuan per REIT [12] - Among the listed REITs, 21 increased in value while 49 decreased, with an average weekly decline of 0.31% [12] - The report highlights strong performance in the warehousing and logistics sector, while the consumer infrastructure and affordable housing sectors experienced declines [12] REITs Valuation Performance - The internal rate of return (IRR) for listed REITs shows significant differentiation, with the top three being Ping An Guangzhou Guanghe REIT (11.3%), Huaxia China Communications Construction REIT (11.2%), and CICC Anhui Transportation Control REIT (8.6%) [3] - The price-to-net asset value (P/NAV) ratio ranges from 0.7 to 1.9, with Huaxia China Communications Construction REIT having a notably low P/NAV of 0.7 [3] Trading Volume Performance - The average daily trading volume for listed REITs was 3.864 million shares, with an average turnover rate of 0.9% [12][16] - The report indicates that the energy infrastructure sector had the highest trading activity this week [12]

Investment Rating - The report maintains an "Overweight" rating for the electricity and public utilities sector [3]. Core Views - The Zhejiang electricity spot market has officially transitioned to operation, and the foundational rules for the national unified electricity market, referred to as "1+6," have been initially established [3][10]. - The energy transition is accelerating, with a recommendation to focus on flexible thermal power companies and undervalued green electricity operators [3][10]. Summary by Sections Industry Overview - The Zhejiang electricity spot market has officially commenced operations, with seven regions already in formal operation as of August 8. The market began trial operations in May 2024 and is part of a broader initiative to establish a national unified electricity market by 2029 [6][10]. - The foundational "1+6" rule system for the national unified electricity market has been preliminarily constructed, with significant growth in market transactions and participants [10][13]. Market Performance - During the week of August 4-8, the Shanghai Composite Index closed at 3635.13 points, up 2.11%, while the CSI 300 Index rose 1.23%. The CITIC Electricity and Public Utilities Index increased by 1.61%, outperforming the CSI 300 by 0.38 percentage points [3][54]. Investment Recommendations - The report suggests focusing on the following companies: Huaneng International, Huadian International, Baoneng New Energy, Sheneng Co., Jingtou Energy, and Zhejiang Energy for their resilient quarterly performance in the thermal power sector. It also highlights Qingda Environmental Protection as a leader in thermal power flexibility transformation [3][10]. - It recommends prioritizing undervalued green electricity operators, particularly in the Hong Kong market, and suggests companies like Xintian Green Energy (H), Zhongmin Energy, and Funiu Co. for investment [3][10]. Key Metrics - In 2024, the market-based electricity trading volume is projected to reach 6.18 trillion kilowatt-hours, accounting for approximately 63% of total electricity consumption. The trading volume of green certificates has surged by 364% year-on-year, with green electricity trading volume increasing by 235.2% [10][13].