Report Industry Investment Rating No information provided. Core Viewpoints - Economic growth shows cost reduction and widespread decline in steel prices, with production - related indicators such as power plant daily consumption, blast furnace operation rate, tire operation rate, and loom operation rate showing different trends; demand - side data for real estate, automobiles, steel, cement, glass, and shipping also vary [1][4]. - Inflation is characterized by the agricultural product price index being higher than in recent years, with different price trends for various agricultural products; PPI shows weak oil prices, and different trends for copper and aluminum prices [2][4]. Summary by Directory 1. Economic Growth: Cost Reduction and Widespread Decline in Steel Prices 1.1 Production: Seasonal Increase in Power Plant Daily Consumption - **1.1.1 Production End: Seasonal Increase in Power Plant Daily Consumption** - On December 9, the average daily consumption of 6 major power - generation groups was 79.7 tons, a 2.3% increase from December 2; on December 2, the daily consumption of power plants in eight southern provinces was 190.8 tons, a 3.9% increase from November 25. Heating demand in the north boosts power consumption, but demand in non - power industries has limited growth [4][12]. - **1.1.2 Production End: Overall Decline in Blast Furnace Operation Rate** - On December 5, the national blast furnace operation rate was 80.1%, a 0.9 - percentage - point decrease from November 28; the capacity utilization rate was 87.1%, also a 0.9 - percentage - point decrease. However, the blast furnace operation rate of Tangshan steel mills increased by 2.4 percentage points. Heavy - pollution response measures and weakening demand in the off - season led to the decline [4][17]. - **1.1.3 Production End: Slight Recovery in Tire Operation Rate** - On December 4, the operation rate of all - steel truck tires was 63.5%, a 0.2 - percentage - point increase from November 27; the operation rate of semi - steel car tires was 70.9%, a 1.7 - percentage - point increase. The loom operation rate in the Jiangsu - Zhejiang region continued to decline [4][20]. 1.2 Demand: Cost Reduction and Widespread Decline in Steel Prices - **1.2.1 Demand End: Improved Monthly - on - Monthly New Home Sales in 30 Cities** - From December 1 - 9, the average daily sales area of commercial housing in 30 large - and medium - sized cities was 256,000 square meters, a 42.0% increase from November, but a decline compared to the same period in previous years. Sales in first - tier, second - tier, and third - tier cities all decreased year - on - year [4][25]. - **1.2.2 Demand End: Weak Growth in Automobile Retail Sales** - In December, retail sales decreased by 32% year - on - year, and wholesale sales decreased by 40% year - on - year. The low growth was due to high sales in December last year and the weakening impact of the trade - in policy [4][29]. - **1.2.3 Demand End: Widespread Decline in Steel Prices** - On December 9, the prices of rebar, wire rod, hot - rolled coil, and cold - rolled coil decreased by 2.4%, 2.1%, 2.7%, and 0.5% respectively compared to December 2. Steel inventory reduction accelerated [4][34]. - **1.2.4 Demand End: Moderate Increase in Cement Prices** - On December 9, the national cement price index increased by 0.4% compared to December 2, with prices in the East China and Yangtze River regions performing better. However, price increases were difficult to implement due to high inventory in some areas. The year - on - year decline in cement prices narrowed [4][35]. - **1.2.5 Demand End: Glass Prices Reached a New Low in the Second Half of the Year** - On December 9, the active glass futures contract price was 985 yuan/ton, a 5.2% decrease from December 2. Weak demand and high inventory were the main reasons [4][40]. - **1.2.6 Demand End: Container Shipping Freight Index Turned Down Again** - On December 5, the CCFI index decreased by 0.6% and the SCFI index decreased by 0.4% compared to November 28. Weak market demand and expanding container ship capacity dragged down freight rates [4][44]. 2. Inflation: Agricultural Product Price Index Higher than in Recent Years 2.1 CPI: Agricultural Product Price Index Higher than in Recent Years - **2.1.1 Pork Prices Rose and Then Fell** - On December 9, the average wholesale price of pork was 17.6 yuan/kg, a 0.1% decrease from December 2. The pressure came from the concentrated slaughter at the end of the year. The month - on - month decline widened [4][49]. - **2.1.2 Agricultural Product Price Index Higher than in Recent Years** - On December 9, the agricultural product wholesale price index increased by 1.1% compared to December 2. Different agricultural products had different price trends. The year - on - year and month - on - month increases in the agricultural product price index were 6.0% and 2.4% respectively [4][55]. 2.2 PPI: Weak Oil Prices - **2.2.1 Oil Prices Weakened** - On December 9, the spot prices of Brent and WTI crude oil were $62.8 and $58.3 per barrel respectively, a 2.2% and 0.7% decrease from December 2. Oversupply expectations and weakening geopolitical support led to the decline [4][58]. - **2.2.2 Copper Prices Rose and Aluminum Prices Fell** - On December 9, the prices of LME 3 - month copper and aluminum increased by 3.0% and decreased by 0.7% respectively compared to December 2. The domestic commodity index showed different trends in month - on - month changes [4][63]. - **2.2.3 Most Industrial Product Prices Declined Month - on - Month** - Since December, most industrial product prices declined month - on - month, with coking coal and coke having the largest declines. The year - on - year decline in most industrial product prices narrowed, except for cold - rolled sheet and glass [4][65].

Report Industry Investment Rating - Not provided in the content Core Viewpoints - The subscription sentiment for new science and technology innovation bonds has cooled. The supply scale of the primary market has decreased, and its anti - decline ability is being tested. When selecting bonds, it is advisable to choose individual bonds with high liquidity and strong credit support and wait for more attractive valuation points [2][4] Summary by Directory 1. Primary Issuance Scale and Structure - The subscription sentiment for new science and technology innovation bonds has cooled. Due to the rise in bond market interest rates, the financing cost of issuance subjects has increased. This week (December 1 - 5, 2025), the primary market supply scale reached 45.54 billion yuan, a significant decline from the previous two weeks. Affected by specific risk events and year - end market caution, the subscription sentiment has continued to cool, but the reading is still higher than that of non - science and technology general credit bonds [2][12] 2. Secondary Trading Activity and Pricing - **Rating and Industry Distribution**: The ratings of outstanding science and technology innovation bonds are highly concentrated. Bonds with an implied rating of AA+ and above account for 72.6%, and AA - rated medium - quality individual bonds account for 23.1%, reflecting the financing needs of some small and medium - sized science and technology innovation entities. The industry distribution is dominated by traditional industries, with the bond quantity of industries such as building decoration, public utilities, and comprehensive accounting for 37.4%. Textile and apparel, pharmaceutical biology, power equipment, and communication industries have an excess spread of over 13bp compared to the overall credit bonds of the industry [3][19] - **Liquidity**: Driven by the active trading of science and technology innovation bond ETFs this week, the number of transactions of science and technology innovation bonds has increased to 724, far exceeding the weekly average of 400 since November. However, the weekly turnover rate of science and technology innovation bonds has dropped to 1.2%, and the liquidity is weaker than the overall general credit bonds [3][28] - **Yield and Price Comparison**: The anti - decline ability of science and technology innovation bonds is being tested. Last week, the average weekly trading yield of 1 - 3 - year exchange - traded science and technology innovation bonds increased by 6.8bp compared to the previous week, with a stronger adjustment amplitude than general credit bonds of the same term. The reasons for the large retracement are the weakening of demand - side support and the partial erasure of the premium advantage. In terms of the internal price comparison of science and technology innovation bonds, the spread between the index component bonds and non - component bonds has been stable at 10 - 15bp in the past two weeks, and the spread between the inter - bank variety and the component bonds is basically within 5bp. For the 1 - 3 - year variety, there is still a compression space of 24bp [4][34]

- The report tracks the performance of high-frequency stock selection factors, including Price Range Factor, Price-Volume Divergence Factor, Regret Avoidance Factor, and Slope Convexity Factor. These factors are evaluated based on their excess returns and predictive capabilities[2][3][11] - **Price Range Factor**: This factor measures the activity of stock transactions in different price ranges during the day, reflecting investors' expectations for future stock trends. It includes sub-factors such as high-price range transaction volume (VH80TAW), high-price range transaction count (MIH80TAW), and low-price range average transaction volume (VPML10TAW). The factor shows a strong predictive effect and stable performance this year[3][12][14] - **Price-Volume Divergence Factor**: This factor evaluates the correlation between stock prices and trading volumes. A lower correlation indicates a higher likelihood of future price increases. Sub-factors include price-to-transaction count correlation (CorrPM) and price-to-volume correlation (CorrPV). The factor has shown relatively stable performance this year, despite a declining trend since 2020[3][20][22] - **Regret Avoidance Factor**: Based on behavioral finance, this factor examines the proportion and degree of stock price rebounds after being sold by investors. Sub-factors include sell-rebound proportion (LCVOLESW) and sell-rebound deviation (LCPESW). The factor demonstrates stable out-of-sample excess returns, indicating that regret avoidance sentiment significantly impacts stock price expectations[3][23][31] - **Slope Convexity Factor**: Derived from the elasticity of supply and demand, this factor uses order book data to calculate the slope and convexity of buy and sell orders. Sub-factors include low-level slope (Slope_abl) and high-level convexity (Slope_alh). The factor's performance has been relatively flat in recent years, with some fluctuations in recent weeks[3][32][35] - The report constructs two enhanced strategies: the "High-Frequency Gold" portfolio and the "High-Frequency & Fundamental Resonance" portfolio. The "High-Frequency Gold" portfolio combines the three high-frequency factors with equal weights, achieving an annualized excess return of 10.11% and an IR of 2.36. The "High-Frequency & Fundamental Resonance" portfolio integrates high-frequency factors with fundamental factors (e.g., consensus expectations, growth, and technical factors), achieving an annualized excess return of 14.21% and an IR of 3.39[3][39][44] - **Performance Metrics for High-Frequency Gold Portfolio**: Annualized return: 9.49%, Annualized volatility: 23.87%, Sharpe ratio: 0.40, Maximum drawdown: 47.77%, Annualized excess return: 10.11%, IR: 2.36, Maximum excess drawdown: 6.04%[40][43] - **Performance Metrics for High-Frequency & Fundamental Resonance Portfolio**: Annualized return: 13.66%, Annualized volatility: 23.49%, Sharpe ratio: 0.58, Maximum drawdown: 39.60%, Annualized excess return: 14.21%, IR: 3.39, Maximum excess drawdown: 4.52%[47][48]

Investment Rating - The report suggests a positive investment outlook for the commercial aerospace industry, particularly focusing on the opportunities presented by SpaceX's monopolistic position in launch services and the monetization path of the Starlink satellite constellation [2]. Core Insights - The core investment logic for the commercial aerospace sector in A-shares is to embrace the explosive growth period of satellite constellation infrastructure and to identify high-barrier component suppliers. China is currently in a phase similar to SpaceX's network-building period from 2018 to 2020. As the G60 and GW networks enter a dense launch phase, satellite manufacturing is transitioning from custom lab designs to mass production akin to automotive assembly lines. The most certain alpha returns in the industry will come from high-value, high-barrier core satellite components and payloads [2]. Summary by Sections 1. SpaceX Overview - SpaceX is not a traditional aerospace manufacturer but a monopolist in space logistics and infrastructure, applying first principles to disrupt conventional beliefs about rocket costs and single-use designs. It has created a self-reinforcing business loop by leveraging the unmatched launch cost advantages of Falcon 9 to build the largest space communications network, Starlink, and using the cash flow generated to fund ambitious projects like Starship [4]. 2. Competitive Advantages - **Cost Barriers**: SpaceX's reusability model has drastically reduced launch costs, with marginal costs dropping to nearly $15 million per launch, achieving gross margins of around 68% after five reuse cycles. This cost structure provides SpaceX with pricing power against traditional aerospace giants [4]. - **Manufacturing Barriers**: Over 80% of SpaceX's components are self-developed, allowing for rapid iteration and cost control through vertical integration. This strategy has transformed rocket manufacturing from a craft-based approach to an industrialized process [4]. - **Customer Barriers**: SpaceX has established a strategic symbiosis with the U.S. government, which has become a significant source of funding for its core R&D through long-term contracts, ensuring a reliable and cost-effective access to space [4]. 3. Growth Curves - SpaceX's value proposition should not be compared to traditional defense contractors but viewed as a combination of three distinct business life cycles: 1. The launch business as a cash cow with high market share and profitability. 2. The exponential growth of Starlink, transitioning from B2B to B2C services, characterized by recurring revenue similar to SaaS models. 3. The disruptive potential of Starship, which could unlock trillion-dollar markets in space tourism, intercontinental transport, and deep-space resource extraction [4]. 4. Financial Trajectory - SpaceX has seen its valuation soar from approximately $27 million at inception to nearly $200 billion, reflecting a growth of nearly 7400 times over two decades. The financing history shows a clear evolution from focusing on cheaper rockets to expanding into satellite internet and ambitious space exploration projects [29][30]. 5. Product Ecosystem - SpaceX's business model is built on a self-reinforcing loop, utilizing its launch market dominance to deploy Starlink satellites at internal marginal costs, thereby increasing competitive pressure on rivals. The combination of stable cash flow from launch services and the growing SaaS revenue from Starlink supports the overarching goal of funding Starship development [31][32].

Report Summary 1. Report Industry Investment Rating No information provided in the content. 2. Core View of the Report - Among the bonds with discounted transactions, "24 Zhonghua MTN004" had a relatively large deviation in valuation price; among the bonds with rising net prices, "25 ABC Tier 2 Capital Bond 01B(BC)" had a relatively large deviation in valuation price; among the second-tier perpetual bonds with rising net prices, "25 ABC Tier 2 Capital Bond 01B(BC)" had a relatively large deviation in valuation price; among the commercial financial bonds with rising net prices, "25 ABC TLAC Non-capital Bond 02C(BC)" had a relatively large deviation in valuation price. Real estate bonds ranked high among the bonds with a transaction yield higher than 5% [2]. - The changes in credit bond valuation yields were mainly distributed in the [-5,0) range. The transaction terms of non-financial credit bonds were mainly distributed between 2 and 3 years, with the highest proportion of discounted transactions in the 4 - 5 year variety; the transaction terms of second-tier perpetual bonds were mainly distributed between 4 and 5 years, with the highest proportion of discounted transactions in the within-1-year variety. In terms of industries, the bonds in the national defense and military industry had the largest average deviation in valuation price [2]. 3. Summary According to Relevant Catalogs 3.1 Discounted Transaction Tracking - The report tracked the discounted transactions of multiple bonds, including "24 Zhonghua MTN004" with a residual term of 28.65 years, a valuation price deviation of -0.34%, and a transaction volume of 18.58 million yuan; "24 Chanrong 08" with a residual term of 3.35 years, a valuation price deviation of -0.30%, and a transaction volume of 3.29 million yuan, etc. [4]. 3.2 Tracking of Bonds with Rising Net Prices - The report tracked the transactions of bonds with rising net prices, such as "25 ABC Tier 2 Capital Bond 01B(BC)" with a residual term of 9.53 years, a valuation price deviation of 0.29%, and a transaction volume of 539.4 million yuan; "25 ABC Tier 2 Capital Bond 02B(BC)" with a residual term of 9.63 years, a valuation price deviation of 0.27%, and a transaction volume of 916.26 million yuan [5]. 3.3 Tracking of Second-tier Perpetual Bond Transactions - The report tracked the transactions of second-tier perpetual bonds, including those of state-owned banks, joint-stock banks, and city commercial banks. For example, "25 ABC Tier 2 Capital Bond 01B(BC)" of state-owned banks had a residual term of 9.53 years, a valuation price deviation of 0.29%, and a transaction volume of 539.4 million yuan; "21 Industrial Bank Tier 2 03" of joint-stock banks had a residual term of 5.96 years, a valuation price deviation of 0.12%, and a transaction volume of 108.07 million yuan [7]. 3.4 Tracking of Commercial Financial Bond Transactions - The report tracked the transactions of commercial financial bonds, such as "25 ABC TLAC Non-capital Bond 02C(BC)" with a residual term of 9.66 years, a valuation price deviation of 0.17%, and a transaction volume of 48.68 million yuan; "25 Nanjing Bank Bond 01BC" with a residual term of 2.78 years, a valuation price deviation of 0.06%, and a transaction volume of 250.01 million yuan [8]. 3.5 Tracking of Bonds with a Transaction Yield Higher than 5% - The report tracked the bonds with a transaction yield higher than 5%, mainly including real estate and non-financial bonds. For example, "21 Vanke 02" in the real estate industry had a residual term of 0.12 years, a valuation price deviation of 22.72%, and a transaction volume of 25.76 million yuan; "23 Chanrong 04" in the non-financial industry had a residual term of 0.20 years, a valuation price deviation of -0.01%, and a transaction volume of 10.16 million yuan [9]. 3.6 Distribution of Credit Bond Transaction Valuation Deviations - The changes in credit bond valuation yields were mainly distributed in the [-5,0) range [2]. 3.7 Distribution of Non-financial Credit Bond Transaction Terms - The transaction terms of non-financial credit bonds were mainly distributed between 2 and 3 years, with the highest proportion of discounted transactions in the 4 - 5 year variety [2]. 3.8 Distribution of Second-tier Perpetual Bond Transaction Terms - The transaction terms of second-tier perpetual bonds were mainly distributed between 4 and 5 years, with the highest proportion of discounted transactions in the within-1-year variety [2]. 3.9 Proportion of Discounted Transactions and Transaction Volume of Non-financial Credit Bonds in Each Industry - The bonds in the national defense and military industry had the largest average deviation in valuation price [2].

Group 1: Macroeconomic Liquidity - The US dollar index continued to decline, and the degree of "inversion" in the China-US interest rate spread has deepened. The nominal and real interest rates of 10Y US Treasuries have both rebounded, indicating a rise in inflation expectations [1][14][18]. - Offshore US dollar liquidity remains marginally loose, while the domestic interbank funding environment is balanced and slightly loose. The yield spread between 10Y and 1Y government bonds continues to widen [1][20]. Group 2: Market Trading Activity - Overall market trading activity has continued to decline, with trading heat in sectors such as textiles, light industry, consumer services, and military industry remaining above the 80th percentile [2][26]. - The volatility of major indices has mostly continued to decrease, while the volatility in the communication, electric power, and electronics sectors remains above the 80th historical percentile [2][32]. Group 3: Institutional Research - Research activity is high in sectors such as electronics, pharmaceuticals, machinery, electric power, and non-ferrous metals, with rising research interest in the automotive, electronics, and military sectors [3][42]. Group 4: Analyst Forecasts - The net profit forecasts for the entire A-share market for 2025 and 2026 have been adjusted, with increases in the real estate, steel, consumer services, light industry, and pharmaceutical sectors [4][21]. - The net profit forecasts for the CSI 300 index for 2025 and 2026 have been raised, while the forecasts for the SSE 50 have been lowered. The net profit forecasts for the CSI 500 and ChiNext indices have been adjusted in opposite directions [4][23]. Group 5: Northbound Trading Activity - Northbound trading activity has continued to decline, with a net sell-off in A-shares. The ratio of buy and sell amounts in sectors such as communication, non-ferrous metals, and non-bank financials has increased, while it has decreased in electric power, automotive, and home appliance sectors [5][29]. - Northbound trading primarily net bought in the communication, military, and machinery sectors, while net selling occurred in the media, real estate, and electronics sectors [5][33]. Group 6: Margin Financing Activity - Margin financing activity has again declined, remaining at low levels since late July 2025. The net buying was mainly in the military, non-ferrous metals, and communication sectors, while net selling occurred in chemicals, electric power, and construction sectors [6][35]. - The trading heat in the "Dragon and Tiger List" has slightly decreased, with military, building materials, and light industry sectors showing relatively high trading amounts [6][41]. Group 7: Fund Activity - The positions of actively managed equity funds have continued to decline, with a slight net subscription in ETFs. Active equity funds have mainly increased positions in media, consumer services, and banking sectors, while reducing positions in non-ferrous metals, electronics, and automotive sectors [7][45]. - The newly established equity fund scale has continued to decline, with active funds seeing a rebound while passive funds have decreased. ETFs related to TMT, pharmaceuticals, and electric power sectors have been primarily net bought, while financial real estate, military, and chemical sectors have seen net selling [7][52][53].

Investment Rating - The report gives an "Accumulate" rating for the company [4]. Core Views - The portable energy storage industry continues to grow, with the company's new product launches expected to drive market share growth. The company aims for revenue growth of no less than 39%/40.3%/39.5% for 2025-2027, reflecting confidence in business expansion [2][4]. - The household energy storage market presents significant opportunities, with the company's 5 kWh portable home storage product expected to contribute to incremental performance. The global household storage market is projected to reach approximately $16 billion in 2023 [3][4]. - The company is enhancing its brand influence and profitability through channel expansion and product innovation, with expected revenue of 50.11 billion, 76.32 billion, and 94.83 billion RMB for 2025-2027 [4]. Summary by Sections Company Overview - Huabao New Energy is a leading portable energy storage brand, primarily selling products under the Jackery brand in multiple countries, with North America accounting for about 50% of sales. The company plans to launch large-capacity, lightweight new products in 2025 to capture differentiated market segments [2][4]. Portable Energy Storage - The industry shows sustained growth potential, with projected penetration rates of approximately 10% in the U.S. and 11% in Japan by 2025. The decline in lithium iron phosphate prices in 2023 is expected to stabilize, allowing the company's gross margin to gradually return to a steady state [2][3][4]. - The company is expanding its channel matrix, with significant growth in independent website revenue, which increased by 55.25% year-on-year in the first half of 2025 [3]. Household Energy Storage - The global household storage market is expected to reach a scale of approximately $16 billion in 2023, with the company's 5 kWh portable home storage product offering differentiated advantages [3][4]. - The company is actively expanding its channels and has seen significant revenue growth in its independent website, which is expected to enhance profitability [3]. Financial Analysis - The company is expected to achieve revenues of 50.11 billion, 76.32 billion, and 94.83 billion RMB for 2025-2027, with corresponding net profits of 1.85 billion, 4.06 billion, and 6.14 billion RMB [4][8].

Investment Rating - The report suggests a positive outlook for the robotics industry, indicating a potential for significant growth in the coming months [29]. Core Insights - The robotics sector is experiencing accelerated growth, with the U.S. government considering an executive order on robotics technology, reflecting a strategic focus on advanced manufacturing and a competitive race in robotics between the U.S. and China [1][4]. - The launch of the T800 humanoid robot by Zhongqing Robotics is a significant milestone, aiming to redefine performance standards in humanoid robotics with advanced features and capabilities [1][16]. - Strategic partnerships, such as the collaboration between Cao Cao Mobility and Yuejiang Technology, are enhancing the application of robotics in operational scenarios, particularly in the Robotaxi sector [2][19]. Summary by Sections Industry Dynamics - The shift from policy guidance to commercial implementation is driving long-term development in the embodied intelligence sector, with significant policy support from local governments [9][10]. - A survey indicated that 62% of Chinese enterprises plan to deploy humanoid robots within the next three years, highlighting substantial market potential [4][9]. Main Body - Zhongqing Robotics has officially launched the T800 humanoid robot, which is designed to address industry challenges related to size adaptability and is priced starting at 180,000 yuan [16][17]. - Cao Cao Mobility and Yuejiang Technology have signed a strategic cooperation agreement to integrate robotics technology into their Robotaxi operations, enhancing service efficiency and operational capabilities [2][19]. Core Components - Fuliwang has developed micro planetary roller screws in various specifications and is currently in the sample delivery phase to major industry clients, focusing on precision transmission technology [22][27]. - Microglow's subsidiary has begun small-scale production of joint modules for humanoid robots, indicating progress in component supply for the robotics industry [22][28]. Investment Recommendations - The report emphasizes that embodied intelligence represents the strongest application of AI, with humanoid robots being a key focus area. The ROBO+ sector is expected to reshape the automotive supply chain significantly [29]. - Investors are advised to monitor technological iterations and component supply dynamics in the second half of the year, particularly focusing on companies like Tesla, Huawei, and ByteDance [29][30].

Report Summary Investment Rating No investment rating for the industry is provided in the report. Core Viewpoints - The duration of secondary capital bonds has been continuously rising, while the durations of other credit bonds have generally shortened. As of December 5, the weighted average trading durations of urban investment bonds and industrial bonds were 1.90 years and 2.27 years respectively. Among commercial bank bonds, the weighted average trading durations of secondary capital bonds, bank perpetual bonds, and general commercial financial bonds were 4.31 years, 3.78 years, and 1.94 years respectively. General commercial financial bonds were at a relatively low historical level, and secondary capital bonds were at a relatively high historical level. For other financial bonds, the durations of securities company bonds, securities subordinated bonds, insurance company bonds, and leasing company bonds were 1.53 years, 1.83 years, 3.33 years, and 1.19 years respectively. The duration of securities subordinated bonds has significantly shortened compared to last week, and the durations of securities company bonds and securities subordinated bonds were at relatively low historical levels [2][9]. - The coupon duration crowding index has slightly increased. After reaching its highest value in March 2024, the coupon duration crowding index declined. This week, it increased compared to last week and is currently at the 20.8% level since March 2021 [11]. Summary by Directory 1. All - Variety Duration Overview - Urban investment bonds: The weighted average trading duration hovered around 1.90 years. The duration of Hebei provincial urban investment bonds lengthened to 5.50 years, and the trading duration of Guangxi provincial urban investment bonds shortened to around 1.22 years. The historical quantiles of the durations of urban investment bonds in regions such as Zhejiang prefecture - level cities, Henan prefecture - level cities, and Hunan province have exceeded 90%, and the duration of Hunan provincial urban investment bonds is approaching the highest level since 2021 [3][15]. - Industrial bonds: The weighted average trading duration of industrial bonds shortened compared to last week and was generally around 2.27 years. The trading duration of the transportation industry lengthened to 2.02 years, and the trading duration of the food and beverage industry shortened to 0.55 years. The trading duration of the real estate industry was at a relatively low historical level, while those of the non - ferrous metals and pharmaceutical and biological industries were at relatively high historical levels [3][21]. - Commercial bank bonds: The duration of general commercial financial bonds shortened to 1.94 years, at the 35.9% historical quantile, lower than the level of the same period last year. The duration of secondary capital bonds lengthened to 4.31 years, at the 95.1% historical quantile, higher than the level of the same period last year. The duration of bank perpetual bonds shortened to 3.78 years, at the 67.7% historical quantile, higher than the level of the same period last year [3][23]. - Other financial bonds: In terms of the weighted average trading duration, insurance company bonds > securities subordinated bonds > securities company bonds > leasing company bonds, at historical quantiles of 71.4%, 22%, 31.8%, and 61.2% respectively. The overall duration of other financial bonds has shortened compared to last week [3][26]. 2. Variety Microscope - Coupon duration crowding index: After reaching its peak in March 2024, the coupon duration crowding index decreased and then increased slightly this week. It is currently at the 20.8% level since March 2021 [11]. - Regional analysis of urban investment bonds: The report provides the durations and historical quantiles of urban investment bonds in different provinces and administrative levels, such as the duration of Hebei provincial urban investment bonds lengthening to 5.50 years and Guangxi provincial urban investment bonds shortening to 1.22 years [15][20]. - Industry analysis of industrial bonds: Different industries within industrial bonds showed different duration changes. For example, the transportation industry's duration lengthened, and the food and beverage industry's duration shortened [21].

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report The "Guojin Securities Fixed Income - Bond Market Micro - trading Thermometer" dropped 9 percentage points from the previous period to 37%. Most of the indicator quantiles declined, with only the quantiles of allocation disk strength, policy spread, commodity price ratio, and market spread rising slightly. The proportion of indicators in the over - heated range decreased to 15%, and the trading heat quantile average decreased significantly [15][20]. 3. Summary by Related Catalog 3.1. This period's micro - trading thermometer reading dropped to 37% - The "Guojin Securities Fixed Income - Bond Market Micro - trading Thermometer" dropped 9 percentage points to 37%. Indicators with large declines included TL/T long - short ratio, fund duration, and 1/10Y Treasury turnover rate, with quantiles decreasing by 55, 41, and 11 percentage points respectively. Only the quantiles of allocation disk strength, policy spread, commodity price ratio, and market spread rose slightly. Currently, the only indicator with high congestion is the 30/10Y Treasury turnover rate [15]. 3.2. The proportion of indicators in the over - heated range dropped to 15% - Among 20 micro - indicators, the number of indicators in the over - heated range decreased to 3 (15%), in the neutral range decreased to 5 (25%), and in the cold range increased to 12 (60%). The TL/T long - short ratio and fund duration both dropped from the neutral range to the cold range, and the fund's ultra - long - term bond buying volume dropped from the over - heated range to the neutral range [20]. - The trading heat quantile average decreased significantly. In trading heat, the quantiles of TL/T long - short ratio and 1/10Y Treasury turnover rate decreased by 55 and 11 percentage points, driving the trading heat quantile down 16 percentage points. In institutional behavior indicators, the fund duration quantile dropped 41 percentage points, and most other indicator quantiles also declined. Only the quantiles of allocation disk strength and listed company wealth management buying volume rose by 12 and 1 percentage points, and the institutional behavior quantile average decreased 12 percentage points. The market and policy spread quantiles rebounded 3 and 8 percentage points respectively, and the spread quantile average increased 6 percentage points. The commodity price ratio quantile rose 7 percentage points, driving the price ratio quantile average up 2 percentage points [20]. 3.2.1. TL/T long - short ratio decreased significantly - In trading heat indicators, the proportion of indicators in the over - heated range remained at 50%, in the neutral range dropped to 17%, and in the cold range rose to 33%. The TL/T long - short ratio quantile dropped 55 percentage points to 14% and moved from the neutral to the cold range. Other indicator quantiles mostly declined, with the 1/10Y Treasury turnover rate, full - market turnover rate, and institutional leverage quantiles decreasing by 11, 9, and 2 percentage points respectively [23]. 3.2.2. Fund duration decreased rapidly - In institutional behavior indicators, the proportion of indicators in the over - heated range dropped to 0%, in the neutral range remained at 25%, and in the cold range rose to 75%. The fund duration quantile dropped 41 percentage points to 18% and moved from the neutral to the cold range. The fund's ultra - long - term bond buying volume quantile dropped 8 percentage points to 69% and moved from the over - heated to the neutral range. Most other indicator quantiles also declined, with only the quantiles of allocation disk strength and listed company wealth management buying volume rising slightly [26]. 3.2.3. The policy spread quantile dropped 8 percentage points - The policy spread narrowed by 2bp to 2bp, and the corresponding quantile rose 8 percentage points to 55%, remaining in the neutral range. The credit spread widened by 3bp to 60bp, the Agricultural Development - CDB spread remained flat at 1bp, the IRS - SHIBOR 3M spread narrowed by 2bp to 1bp. The average of the three spreads widened slightly by 1bp to 20bp, and its quantile rebounded 3 percentage points to 50%, still in the neutral range [31]. 3.2.4. The commodity price ratio quantile rose slightly - The proportion of price - ratio indicators in the cold range remained at 100%. The commodity price ratio quantile rose 7 percentage points to 27%, and the quantiles of other indicators changed little [34].