1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - Short - term liquidity depends on central bank's injections. Investors can maintain duration and seize opportunities from falling interest rates [2]. - In mid - July, there are both positive and negative factors for the liquidity. The key variable is the central bank's roll - over of outright reverse repos. DR007 is likely to fluctuate between 1.40% - 1.50%. There are few negative factors for the bond market. If there is a tightening trend in liquidity, a further decline in large banks' lending volume should be observed first [3]. 3. Summary According to Related Catalogs 3.1 This Week's Institutional Behavior Review: Is There a Tightening Trend in Liquidity? - **Yield Curve**: Yields of treasury bonds and China Development Bank bonds generally increased. For treasury bonds, 1Y yield rose 3bp, 3Y and 5Y rose 4bp, 7Y rose 3bp, 10Y rose about 3bp, 15Y and 30Y rose 2bp. For China Development Bank bonds, 1Y yield rose about 4bp, 3Y rose 4bp, 5Y rose about 6bp, 7Y and 10Y rose 3bp, 15Y rose 2bp, and 30Y changed less than 1bp [13]. - **Term Spread**: The spread between treasury bonds and China Development Bank bonds increased. For treasury bonds, the short - term spread narrowed and the long - term spread widened. For China Development Bank bonds, the short - term spread was divided, and the medium - and long - term spread narrowed [16]. 3.2 Bond Market Leverage and Liquidity - **Leverage Ratio**: It dropped to 107.3%. From July 7th to July 11th, 2025, the leverage ratio decreased continuously during the week. As of July 11th, it was about 107.3%, down 0.69pct from last Friday and 0.58pct from this Monday [20]. - **Average Daily Turnover of Pledged Repurchase**: The average daily turnover of pledged repurchase this week was 8.2 trillion yuan, with an average overnight proportion of 89.57%. From July 7th to July 11th, the average daily turnover was 8.2 trillion yuan, up 0.61 trillion yuan from last week. The average overnight turnover was 7.4 trillion yuan, up 0.55 trillion yuan month - on - month, and the average overnight proportion was 89.57%, down 0.14pct month - on - month [26][27]. - **Liquidity**: Banks' lending volume continued to decline. From July 7th to July 11th, the lending volume of the banking system decreased. On July 11th, large banks and policy banks' net lending was 4.65 trillion yuan; joint - stock banks and urban and rural commercial banks' average daily net lending was 0.66 trillion yuan, and on July 11th, they had a net inflow of 0.91 trillion yuan. The banking system's net lending was 3.74 trillion yuan [31]. 3.3 Duration of Medium - and Long - Term Bond Funds - **Median Duration**: It dropped to 2.87 years. From July 7th to July 11th, the median duration of medium - and long - term bond funds was 2.87 years (de - leveraged) and 3.21 years (leveraged). On July 11th, the median duration (de - leveraged) was 2.87 years, down 0.01 year from last Friday; the median duration (leveraged) was 3.21 years, up 0.04 year from last Friday [45]. - **Duration of Interest - Rate Bond Funds**: It rose to 3.93 years. Among different types of bond funds, the median duration (leveraged) of interest - rate bond funds rose to 3.93 years, up 0.02 year from last Friday; the median duration (leveraged) of credit bond funds rose to 2.98 years, up 0.01 year from last Friday; the median duration (de - leveraged) of interest - rate bond funds was 3.55 years, up 0.09 year from last Friday; the median duration (de - leveraged) of credit bond funds was 2.73 years, down 0.02 year from last Friday [48]. 3.4 Category Strategy Comparison - **China - US Yield Spread**: It generally widened. The 1Y spread widened 3bp, 2Y widened 7bp, 3Y widened 6bp, 5Y widened 5bp, 7Y widened 3bp, 10Y widened about 3bp, and 30Y widened 2bp [52]. - **Implied Tax Rate**: The short - term spread widened, and the long - term spread narrowed. As of July 11th, the spread between China Development Bank bonds and treasury bonds widened 1bp for 1Y, changed less than 1bp for 3Y, widened 2bp for 5Y, widened 1bp for 7Y and 10Y, changed less than 1bp for 15Y, and narrowed 2bp for 30Y [53]. 3.5 Changes in Bond Lending Balance On July 11th, the concentration of lending for active 10Y treasury bonds, active 10Y China Development Bank bonds, second - active 10Y China Development Bank bonds, and active 30Y treasury bonds showed an upward trend, while the concentration of second - active 10Y treasury bonds showed a downward trend. For all institutions, it showed an upward trend [56].

Investment Rating - The industry investment rating is "Overweight" [1] Core Insights - The report highlights the ongoing global biotechnology revolution, emphasizing its integration into economic and social development, addressing major challenges such as health, climate change, and food security. The National Development and Reform Commission has issued the "14th Five-Year Plan for Bioeconomic Development," indicating a trillion-yuan market potential in the bioeconomy [1] - The Huazhong Securities Synthetic Biology Index, which includes 58 companies involved in synthetic biology and related technologies, decreased by 2.50% to 1484.292 during the week of June 30 to July 4, 2025, underperforming compared to the Shanghai Composite Index and the ChiNext Index [2][14] Summary by Sections 1.1 Secondary Market Performance - The synthetic biology sector experienced a decline of 2.50%, ranking 32nd among various sectors during the week of June 30 to July 4, 2025 [14] 1.2 Company Business Progress - Meihua Biological completed an overseas acquisition for HMO and high-end amino acid production, with a transaction value of approximately 8.33 billion yuan [21] - Weiyuan Biological's alolose sugar received approval as a new food ingredient, becoming the first company in China to produce it through fermentation technology [21] - Jinbo Biological secured a 3.4 billion yuan investment from Yangshengtang and Hangzhou Jiushi, enhancing its R&D capabilities in collagen technology [22] - Avantium signed a supply agreement for fully plant-based PEF packaging materials, emphasizing sustainability [24] - Syzygy Plasmonics announced the launch of a sustainable aviation fuel facility, aiming to produce over 350,000 gallons annually [24] 1.3 Industry Financing Tracking - Synthetic biology companies are accelerating financing, with nearly a hundred firms completing new rounds of funding since the beginning of 2025. Zhejiang Rongrui Technology raised nearly 100 million yuan in a Pre-A round [27][28]

Quantitative Models and Construction Methods 1. Model Name: IPCA Factor Model - **Model Construction Idea**: The IPCA factor model is designed to explain the returns of 46 option strategies, aiming to capture 80% of their returns while minimizing abnormal monthly returns to near zero[22] - **Model Construction Process**: The model integrates factors such as transaction costs and heterogeneous risk aversion to optimize derivative pricing. It also addresses the absence of reliable credit or liquidity premiums in pre-WWI corporate bond returns[25] - **Model Evaluation**: The model demonstrates strong explanatory power for option strategy returns and highlights the role of transaction costs in driving return volatility[22][25] 2. Model Name: Neural Functionally Generated Portfolios (NFGP) - **Model Construction Idea**: NFGP combines Transformer and diffusion models to enhance probabilistic time-series forecasting accuracy and improve decision reliability[35] - **Model Construction Process**: The model reduces forecasting errors by 42% compared to benchmarks and introduces dual uncertainty indicators to optimize portfolio decisions[35] - **Model Evaluation**: The model outperforms traditional approaches in terms of predictive accuracy and robustness in decision-making[35] --- Model Backtesting Results 1. IPCA Factor Model - **Explanatory Power**: 80% of option strategy returns explained[22] - **Abnormal Monthly Returns**: Approaching zero[22] 2. Neural Functionally Generated Portfolios (NFGP) - **Forecasting Error Reduction**: 42% compared to benchmarks[35] --- Quantitative Factors and Construction Methods 1. Factor Name: "Betting Against (Bad) Beta" (BABB) - **Factor Construction Idea**: The BABB factor improves the "Betting Against Beta" (BAB) strategy by managing transaction costs and isolating bad beta components[15] - **Factor Construction Process**: The factor is constructed using double sorting to isolate bad beta components. It achieves an annualized alpha exceeding 6%, independent of traditional sentiment indicators[15] - **Factor Evaluation**: The factor demonstrates strong performance in low-risk investment strategies, with significant alpha generation[15] 2. Factor Name: High-Speed Rail Network Centrality - **Factor Construction Idea**: This factor captures the impact of high-speed rail network centrality on corporate bond spreads by improving the information environment and regional trust[25] - **Factor Construction Process**: The factor is derived from the centrality of high-speed rail networks, showing a significant reduction in corporate bond spreads, particularly for non-state-owned enterprises and non-central cities[25] - **Factor Evaluation**: The factor effectively highlights the role of infrastructure in reducing financing costs and improving capital allocation efficiency[25] 3. Factor Name: Residual-Based Structural Change Detection - **Factor Construction Idea**: This factor robustly detects structural changes in factor models, accommodating over-specified factor numbers and error correlations[17] - **Factor Construction Process**: The factor employs residual-based tests to identify smooth or abrupt structural changes in factor models, enhancing robustness in model evaluation[17] - **Factor Evaluation**: The factor is highly effective in detecting structural changes and improving the robustness of factor model evaluations[17] --- Factor Backtesting Results 1. "Betting Against (Bad) Beta" (BABB) - **Annualized Alpha**: >6%[15] 2. High-Speed Rail Network Centrality - **Corporate Bond Spread Reduction**: Significant, especially for non-state-owned enterprises and non-central cities[25] 3. Residual-Based Structural Change Detection - **Robustness**: Effective in detecting both smooth and abrupt structural changes[17]

Investment Rating - The investment rating for the company is "Buy" (maintained) [1] Core Views - The company reported Q1 FY26 earnings with revenue of $9.83 billion, a year-over-year increase of 7.6%, and subscription revenue of $9.30 billion, up 8.3% year-over-year [3][4] - The acquisition of Informatica for $8 billion is aimed at strengthening the company's data capabilities, with AgentForce completing 8,000 transactions in Q1, nearly half of which were paid collaborations [4][5] - The company's Remaining Performance Obligations (RPO) reached a record high of $60.9 billion, reflecting a year-over-year growth of 13% [5] - The company has raised its full-year revenue guidance for FY26 to $41-41.3 billion, driven by growth in data cloud and AgentForce [6][7] Financial Performance - For FY26, the company expects non-GAAP net profits of $10.96 billion, with year-over-year growth rates of 10.4%, 14.8%, and 15.6% for FY26, FY27, and FY28 respectively [7][9] - The company’s gross margin is projected to improve from 77.2% in FY25 to 79.5% in FY28 [9] - The company’s operating margin is expected to remain stable, with GAAP operating margin at 21.6% and non-GAAP operating margin at 34% for FY26 [6][9]

Group 1: Report Overview - The report is a fixed - income review report titled "Why is the Divergence Trend between CPI and PPI Intensifying? - Review of June Price Data" dated July 9, 2025 [1][2] - The chief analyst is Yan Ziqi, and the analyst is Hong Ziyan [2] Group 2: Data Observation CPI Data - In June, CPI was up 0.1% year - on - year, rising 0.2 pct from the previous month and moving from negative to positive. The month - on - month CPI decreased by 0.1%, with the decline narrowing by 0.1 pct from the previous month and the value being at a relatively high level in the same period over the years [2] - Core CPI continued to rise, indicating a possible demand recovery, but it was uneven. The year - on - year increase in CPI was stronger than that of core CPI mainly due to the reduced drag from the energy item. After removing the impact of food and energy, core inflation continued to rise year - on - year, reflecting a demand recovery. However, the recovery of consumer demand was mainly supported by sub - items such as transportation, communication, rent, water and electricity, and household appliances, while CPI in areas such as clothing, education, tourism, and household services decreased month - on - month [3] - Service CPI continued to grow, and consumer goods CPI continued to recover. The demand structure continued to shift from food to consumption and services. The decline in consumer CPI narrowed, and service CPI had been growing for 5 months, with the year - on - year value remaining at 0.5% as in the previous month. Food prices remained stable, and the increase in vegetable prices led to a narrowing of the decline in food CPI [3] PPI Data - The month - on - month PPI of consumer goods weakened. The reason was that during the subsidy gap period, the path for demand to spread from policy - driven areas to other consumer goods areas slowed down compared with the previous month. Durable consumer goods declined month - on - month in June [4] - External demand suppressed the prices of the processing industry, while the input factor of international crude oil drove the price recovery of upstream industries, and PPI entered a weak equilibrium state. In June, the decline in external demand orders in the PMI indicated a weakening of external demand, leading to a month - on - month decline in the PPI of the processing industry. High temperatures restricted infrastructure construction, resulting in demand lagging behind material supply. The decline in coal prices due to new energy substitution and over - capacity continued to reduce PPI prices, but the increase in international crude oil prices repaired the drag on domestic related industries, and deflation in upstream industries such as mining and raw material industries eased [4] Group 3: In - depth Perspective From the Perspective of Resident Income - Since March, the year - on - year decline in rent has narrowed to - 0.1% and remained unchanged for 4 consecutive months. The stable and flat trend of rent may indicate that the income improvement trend has stalled, and income recovery is the core driving force for the recovery of total demand and the return of price levels to positive [6] From the Perspective of Corporate Activity - In June, the year - on - year price of pork dropped to - 8.5%, and the month - on - month price dropped to - 1.2%. The decline in pork prices was mainly due to oversupply and also reflected a contraction in pork demand in June, suggesting a possible structural decline in factory labor demand. The continuous squeeze on corporate profits in previous months still had a lagging impact on the economy, and the significant decline in the PMI of small enterprises and employment in the manufacturing and service industries in June confirmed the contraction in pork demand. The month - on - month decline in liquor prices was 0.3%, the same as the average in the past 5 years, implying that the business activity of small enterprises remained weak [6] From the Perspective of Corporate Price Transmission - The increase in household appliance prices in June may be an illusion during the policy window period. The month - on - month increase in household appliance CPI was likely due to manufacturers adjusting prices during the subsidy gap period. The price model of leading brands was to "raise the marked price and offset with subsidies" to achieve a nominal price increase. In June, the subsidy amount in many places was exhausted, leading to a decrease in the subsidy part and an increase in the final product price. The price increase during the subsidy gap period may be a game behavior to transfer inventory pressure [7] High - frequency Data - International oil prices showed a downward trend, and PPI would face downward pressure in the next stage. The marginal price of Nanhua industrial products began to rise, but the price of rebar continued to decline. Although the third batch of 300 billion dual - purpose funds had been issued, high - temperature weather restricted demand release and limited physical construction. Glass prices continued to decline, indicating no improvement in the real estate market [7] Group 4: Future Outlook CPI Outlook - Currently, CPI has achieved an upward breakthrough with a marginal reduction in external interference items, but the demand recovery is uneven, and the recovery trend needs to be consolidated. High - frequency data shows that international oil prices have started to decline, and with the easing of local geopolitical conflicts, it is highly likely that the oil price center will shift downward in July, which may drive next month's CPI down. In July, the next batch of fiscal funds will start to be in place, and the household appliance sub - item of CPI may decline. Due to the slowdown in the transmission to other industries caused by the subsidy gap and the crowding - out of consumption in other areas this month, the price recovery in other areas next month still needs to be observed. From the perspective of corporate activities, the continuous profit compression pattern has led to a decline in the prosperity of small enterprises and employment, and the consumption demand contributed by the income side is still not optimistic [7] PPI Outlook - The supply - side dilemma of PPI has not changed. The "rush - to - export" effect of external demand is fading, and although the pull from domestic demand has slowed down, it may rebound in July, maintaining the current weak equilibrium. On the supply side, the over - capacity pattern is difficult to change in the short term, and the decline in international oil prices in July may lead to a decline in PPI prices. In terms of external demand, there are still challenges, and exports are likely to decline in the second half of the year, with trade cooling down, which is difficult to significantly drive up total demand. In terms of domestic demand, after the next batch of subsidy funds is in place in July, on the one hand, it will directly improve corporate profits, and on the other hand, the uneven pattern of CPI demand recovery may improve, and the chain of CPI pulling PPI will restart, and the PPI of consumer goods may continue to rise. However, overall, the upward repair amplitude may be relatively limited [8]

Group 1 - The report discusses the short covering strategy in the bond market, specifically how the borrowing balance of individual bonds relative to other bonds of the same maturity can lead to downward pressure on interest rates [2][3][19] - The borrowing balance of a specific bond typically follows a pattern where it starts at zero upon issuance, increases as it becomes an active bond, peaks, and then declines as it transitions to a less active status [19][20] - When the borrowing amount of an active bond is significantly lower than that of a less active bond, and if interest rates decline, short sellers of the less active bond will need to cover their positions, leading to additional buying and compression of the yield spread between the two bonds [3][19][20] Group 2 - The report analyzes the practical application of the short covering strategy on key maturities, including 10Y government bonds, 10Y policy bank bonds, and 30Y government bonds, concluding that the 10Y policy bank bond shows the best results [6][31][40] - The 10Y policy bank bond's active bond (250210) switched on May 27, with the less active bond (250205) showing a borrowing amount of approximately 140 billion, which later equalized around 700 billion, while the yield spread compressed from 4-5 basis points to 1.2 basis points [6][31][40] - The analysis indicates that the 30Y government bond's short covering strategy results are less favorable than the 10Y policy bank bond due to greater sensitivity to yield spread expectations and less significant changes in borrowing amounts [40][41]

Investment Rating - The report maintains a positive outlook on the energy storage sector, highlighting significant investment opportunities due to high demand and favorable policies in various regions [2]. Core Insights - The energy storage market is experiencing robust growth, driven by increasing demand in China, India, and Europe, with substantial project approvals and installations expected in the coming years [5][40]. - The report emphasizes the importance of government policies in facilitating the growth of energy storage systems, particularly in India and Europe, where mandatory storage requirements and subsidies are being implemented [27][64]. Demand Side - In May 2025, China's newly installed energy storage capacity reached 15.85 GWh, marking a year-on-year increase of 228% [14]. - India's energy storage market is projected to exceed 2 GWh in installations for the fiscal year 2025-26, supported by mandatory grid connection requirements [29][30]. - The report notes that the European market is also showing signs of recovery, with increased demand for residential storage systems [49]. Supply Side - As of May 2025, the average price for 2-hour and 4-hour energy storage systems in China was 0.550 and 0.478 CNY/Wh, respectively, indicating a month-on-month change of -6.6% and +7.5% [4]. - The report highlights that the average tender capacity for energy storage projects in China reached 597.3 MWh in June 2025, reflecting a significant increase of 122% month-on-month [26]. - In Germany, the energy storage market is characterized by a notable increase in large-scale storage installations, with 115 MWh added in June 2025, a year-on-year increase of 387% [52]. Regional Highlights - In India, the government is pushing for rapid deployment of energy storage systems, with a total of 36 projects amounting to 34.97 GWh tendered by June 2025 [29]. - The report indicates that the UK has approved new energy storage projects with a total capacity of 2.87 GW in May 2025, contributing to a planned capacity of over 17 GWh [65]. - In the Czech Republic, the total installed capacity of photovoltaic systems with storage exceeded 2 GWh by the end of 2024, with a significant portion of new installations coming from residential systems [72].

Report Industry Investment Rating No relevant content provided. Core Views of the Report - The potential negative factors for the current bond market come from the fundamentals, including economic data disclosure and the progress of Sino-US negotiations. Under the consensus expectation, it is difficult to say that the bond market will reverse. Attention should be paid to the changes in bond market expectations caused by event shocks [2]. - The sentiment index of fixed-income sellers has reached a new high this year, while buyers mainly expect the market to fluctuate, and their sentiment has declined for three consecutive weeks [2]. Summary by Relevant Catalogs 1. Seller and Buyer Markets 1.1 Seller Market Sentiment Index and Interest Rate Bonds - This week, the weighted tracking index was 0.47, showing a mostly bullish view but lower than last week. The unweighted tracking index was 0.68, up 0.09 from last week. Currently, institutions generally hold a neutral-to-bullish view, with 18 bullish, 6 neutral, and 1 bearish [10]. - 72% of institutions are bullish, with keywords such as weak credit, slow economic recovery, external demand shocks, loose monetary policy, low supply pressure in July, and opportunities for a bullish flattening of the curve after the short end declines [4][10]. - 24% of institutions are neutral, with keywords such as the neutral impact of restarting treasury bonds, and potential disturbances from the stock-bond seesaw and unexpected Sino-US negotiations [4][10]. - 4% of institutions are bearish, with the view that the central bank's bond purchases are not the reason for the decline in interest rates, and the economic recovery in the second half of 2025 is expected to drive up prices and interest rates [4][10]. 1.2 Buyer Market Sentiment Index and Interest Rate Bonds - This week, the tracking sentiment index was 0.13, showing a mostly neutral view and lower than last week. Currently, institutions generally hold a neutral-to-bullish view, with 5 bullish and 18 neutral [11]. - 22% of institutions are bullish, with keywords such as loose funds and a possible quarter-on-quarter weakening of the economic fundamentals in the third quarter [11]. - 78% of institutions are neutral, with keywords such as the reduced expectation of broad credit after the second-quarter monetary policy meeting and the suppression of bond market sentiment by the equity market [11]. 1.3 Credit Bonds - Market hot topics include the recovery of wealth management scale and loose funds. The recovery of wealth management scale may further improve the demand for credit bonds, and loose funds, combined with weak fundamentals, support the overall strength of the bond market and a decline in benchmark interest rates [17]. 1.4 Convertible Bonds - This week, institutions generally hold a neutral-to-bullish view, with 8 bullish and 6 neutral [18]. - 57% of institutions are bullish, believing that with the new bond supply not accelerating significantly on the issuance side, the convertible bond market scale may gradually shrink in the second half of the year, and medium and large-cap convertible bonds among high-quality existing and newly issued bonds are worth attention [18]. - 43% of institutions are neutral, stating that there is still uncertainty about the US tariff increase, and the allocation value of convertible bonds will be better reflected after the valuation is moderately digested [18]. 2. Treasury Bond Futures Tracking 2.1 Futures Trading - Futures prices showed mixed trends. As of July 4, the prices of TS/TF/T/TL treasury bond contracts were 102.51 yuan, 106.26 yuan, 109.10 yuan, and 121.20 yuan respectively, with changes of -0.03 yuan, -0.01 yuan, +0.05 yuan, and +0.31 yuan compared to last Friday [21]. - The trading volume of treasury bond futures generally increased. As of July 4, from a 5MA perspective, the trading volumes of TS/TF/T/TL futures contracts were 640 billion yuan, 622 billion yuan, 766 billion yuan, and 988 billion yuan respectively, with changes of +3.04 billion yuan, +30.63 billion yuan, +77.98 billion yuan, and -19.99 billion yuan compared to last Friday [21]. - The trading-to-holding ratio of treasury bond futures generally increased. As of July 4, from a 5MA perspective, the trading-to-holding ratios of TS/TF/T/TL futures contracts were 0.27, 0.40, 0.38, and 0.85 respectively, with changes of +0.01, +0.03, +0.04, and -0.03 compared to last Friday [22]. 2.2 Spot Bond Trading - The turnover rate of 30-year treasury bonds decreased. On July 4, the turnover rate was 4.03%, down 3.90 percentage points from last week and up 0.61 percentage points from Monday, with an average weekly turnover rate of 4.21%. The weekly average turnover rate of interest rate bonds decreased, and the turnover rate on July 4 was 0.93%, down 0.09 percentage points from last week and up 0.28 percentage points from Monday [29]. - The turnover rate of 10-year China Development Bank bonds increased. On July 4, the turnover rate was 4.91%, up 0.45 percentage points from last week and up 1.60 percentage points from Monday [32]. 2.3 Basis Trading - The basis generally narrowed, while the net basis widened across the board. As of July 4, the basis (CTD) of TS/TF/T/TL main contracts were -0.02 yuan, 0.001 yuan, 0.14 yuan, and 0.25 yuan respectively, with changes of +0.05 yuan, +0.05 yuan, +0.16 yuan, and -0.07 yuan compared to last Friday [39]. - In terms of the net basis, the net basis of main contracts widened. As of July 4, the net basis (CTD) of TS/TF/T/TL main contracts were -0.05 yuan, -0.06 yuan, -0.11 yuan, and -0.11 yuan respectively, with changes of -0.01 yuan, -0.01 yuan, -0.07 yuan, and -0.12 yuan compared to last Friday [41]. - In terms of IRR, the IRR of T and TL main contracts increased, while the others decreased. As of July 4, the IRR (CTD) of TS/TF/T/TL main contracts were 1.65%, 1.69%, 1.89%, and 1.80% respectively, with changes of -0.20%, -0.23%, +0.03%, and +0.14% compared to last Friday [41]. 2.4 Inter-period and Inter-variety Spreads - Inter-period spreads showed mixed trends. As of July 4, the spreads between the near and far months of TS/TF/T/TL contracts were -0.12 yuan, -0.08 yuan, -0.08 yuan, and 0.13 yuan respectively, with changes of +0.01 yuan, -0.005 yuan, -0.07 yuan, and -0.01 yuan compared to last Friday [48]. - Inter-variety spreads of main futures contracts all narrowed. As of July 4, 2*TS - TF, 2*TF - T, 4*TS - T, and 3*T - TL were 98.77 yuan, 103.39 yuan, 300.92 yuan, and 206.13 yuan respectively, with changes of -0.06 yuan, -0.07 yuan, -0.19 yuan, and -0.14 yuan compared to last Friday [48].

Investment Rating - The investment rating for the company is "Buy" (maintained) [1] Core Views - The company has shown impressive sales performance in May 2025, with bus sales reaching 5,919 units, a year-on-year increase of 24.8%, and production of 5,528 units, a year-on-year increase of 30.0% [6] - The domestic bus market is currently in a recovery phase, supported by policies encouraging the replacement of old vehicles, which is expected to drive growth in public transport buses [6] - The company is well-positioned to benefit from the growth in both domestic and overseas markets, particularly in the export of new energy buses [6] - The company has a strong competitive advantage due to its comprehensive sales, service, and parts network, as well as its focus on high-end product development [6] - The projected net profit for the company from 2025 to 2027 is expected to be 48.0 billion, 54.4 billion, and 62.9 billion respectively, with year-on-year growth rates of 17%, 13%, and 16% [6] Financial Summary - The company's revenue is projected to grow from 37.2 billion in 2024 to 53.8 billion in 2027, with a compound annual growth rate (CAGR) of approximately 13.4% [5] - The net profit attributable to the parent company is expected to increase from 4.116 billion in 2024 to 6.288 billion in 2027, reflecting a strong growth trajectory [5] - The gross margin is projected to improve from 22.9% in 2024 to 24.2% in 2027, indicating enhanced profitability [5] - The company's price-to-earnings (P/E) ratio is expected to decrease from 14.18 in 2024 to 9.47 in 2027, suggesting potential undervaluation as earnings grow [5]

Investment Rating - The industry investment rating is "Overweight" [1] Core Viewpoints - The report highlights the performance of the electronic industry indices, with the semiconductor packaging and testing sector showing the best performance with an increase of 8.32% [4] - The company Mu Xi has become a leading domestic high-performance GPU manufacturer after five years of development, with significant advancements in its product offerings and market presence [16] - The company has successfully transitioned from research and development to production and sales, establishing a comprehensive business model [18] Summary by Sections Section 1: Company Overview - Mu Xi has undergone three development phases, focusing on GPU technology and building a robust team, leading to the establishment of a strong technological foundation [16] - The company launched its first intelligent computing inference chip, the Xi Si N100, in January 2022, which was followed by mass production in April 2023 [18] Section 2: Product Development and Revenue Growth - The product matrix has expanded significantly, with the Xi Si N series and Xi Yun C series GPUs entering mass production, contributing to rapid revenue growth [19] - The core revenue source is the Xi Yun C series training and inference GPU products, which accounted for 30.09%, 68.99%, and 97.55% of total revenue in 2023, 2024, and Q1 2025 respectively [6] Section 3: Market Position and Competitive Advantage - Mu Xi has established a deep ecosystem and commercial layout, delivering nine intelligent computing clusters that cover various regions and applications [21] - The company has attracted significant investment from both state-owned and market-oriented institutions, enhancing its financial strength and market position [10] Section 4: Future Prospects - The company is focusing on enhancing its domestic supply chain collaboration and has plans for the next generation of GPUs, including the Xi Yun C600 and C700, expected to enter production in 2025 and 2027 respectively [11][9] - Mu Xi's products are positioned to meet the growing demand for AI computing power, with a cumulative sales volume of over 25,000 GPUs by Q1 2025 [19]