Market Overview - The market is currently in a state of stock game with significant funding divergence, as indicated by the liquidity shock index for the CSI 300, which was -0.49 last Friday, lower than the previous week at 0.49, suggesting current market liquidity is above the average level of the past year by -0.49 standard deviations [1] - The PUT-CALL ratio for the SSE 50 ETF options has been rising, reaching 0.83 last Friday, up from 0.67 the previous week, indicating increased caution among investors regarding the short-term performance of the SSE 50 ETF [1] - The average turnover rates for the SSE Composite Index and Wind All A-shares were 1.38% and 1.94%, respectively, indicating a decrease in trading activity, positioned at the 78.04% and 81.46% percentile since 2005 [1] Macro Factors - The RMB exchange rate fluctuated last week, with onshore and offshore rates showing weekly declines of -0.42% and -0.2%, respectively [1] - The U.S. stock market experienced a downward trend, with the Dow Jones Industrial Average, S&P 500, and Nasdaq indices reporting weekly returns of -0.9%, -2.12%, and -3.23% [1] - The National Bureau of Statistics reported that profits of large-scale industrial enterprises in China reached 1.02 trillion yuan in January-February 2026, a year-on-year increase of 15.2%, accelerating by 14.6 percentage points compared to the previous year [1] Market Sentiment - The A-share market experienced some fluctuations and divergence last week, with heightened risk aversion due to ongoing geopolitical tensions, which have suppressed short-term risk appetite [1] - Technical analysis indicates multiple intraday reversals in the A-share market, suggesting significant funding divergence and a stock game state, leading to a low probability of upward trends in the short term [1] Factor Analysis - The overall market PE (TTM) stands at 22.5 times, positioned at the 77.5% percentile since 2005 [2] - The small-cap factor's congestion level has decreased to -0.11, while the low valuation factor's congestion level is at -0.54, indicating a shift in market dynamics [2] - Industry congestion levels are relatively high in sectors such as comprehensive, communication, non-ferrous metals, basic chemicals, and oil & petrochemicals, with the latter two sectors showing a significant increase in congestion [2]

Group 1 - The core contradiction of the current global market volatility is not solely focused on the rise in oil prices, but rather on whether the shipping efficiency of the Strait of Hormuz, a key maritime passage for global energy and industrial raw materials, continues to be impaired [9][10] - The impact of rising energy prices is shifting from an initial price shock (increasing inflation and interest rate expectations) to a supply shock (disruption of channels, raw material shortages, production contraction, and growth damage), fundamentally changing the risk nature from "cost increase" to "supply loss" [9][10] - The current economic environment, inventory buffers, and policy space differ significantly, making this energy crisis more likely to evolve into a recession rather than a full-blown stagflation [10][16] Group 2 - The market is currently pricing in more stubborn inflation and a more hawkish central bank policy, leading to a tightening of liquidity [22][26] - The stock market has already reflected expectations of slowing growth, with cyclical sectors significantly underperforming defensive sectors, indicating that the market has not fully accounted for the risks of growth downgrades [26][37] - Observations for whether a full recession trade will emerge include the sustained rise in long-term oil and gas futures prices, the relative performance of cyclical versus defensive sectors, and the weakening of AI-related assets [37][38] Group 3 - High oil prices will suppress the valuations of most financial assets through inflation, policy, and growth channels, with only energy assets benefiting directly [38][39] - Gold is experiencing high volatility due to liquidity risks and geopolitical uncertainties, but its long-term logic remains intact [38][45] - The attack on aluminum plants in the Middle East has intensified supply tightness, opening up upward space for aluminum prices [38][49] Group 4 - The A-share market's recent adjustments are primarily driven by external shocks from geopolitical conflicts, and there is no need for excessive pessimism in the short term [55] - Focus should be on industries with price increase logic due to supply constraints, such as oil and chemical sectors, and sectors with independent industrial trends like energy storage and domestic AIDC [55][56]

Core Insights - The report anticipates a large-cap style preference for April, with a balanced valuation style and a focus on traditional industries [1][2][3] - Key sectors to focus on include transportation, power equipment and new energy, coal, utilities, banking, pharmaceuticals, basic chemicals, and agriculture, forestry, animal husbandry, and fishery, particularly those that are not adversely affected by rising energy prices or are relatively undervalued [1][2][3] Style Rotation - The style rotation indicates a preference for large-cap stocks, with a balanced valuation style and a focus on traditional industries [2][12] - The report highlights that the performance of large-cap stocks is expected to be resilient due to improving PPI trends, which support earnings growth, particularly in traditional sectors [29][31] - April is historically a strong month for the correlation between stock prices and earnings, suggesting that large-cap stocks with strong earnings certainty may outperform [31][45] Industry Allocation - The report emphasizes two principles for industry allocation: sectors that are not adversely affected by rising energy prices and those that are relatively undervalued [2][3] - The top ten attractive sectors based on the industry scoring table include transportation, coal, utilities, banking, pharmaceuticals, agriculture, power equipment, telecommunications, basic chemicals, and electronics [2][3] - Specific focus areas include transportation benefiting from Middle Eastern conflicts, banks with lower sensitivity to geopolitical and oil price fluctuations, and pharmaceuticals experiencing upward trends in innovation [2][3][12] Sector Recommendations - The report suggests focusing on sectors that meet at least one of the criteria of being unaffected by rising energy prices or being relatively undervalued [3][12] - The report identifies transportation (oil shipping), new energy, and traditional energy sectors as key areas of interest, particularly in the context of rising oil prices and energy security [2][3][12] - The report also highlights the potential for cyclical commodities, particularly basic chemicals and agriculture, to experience upward momentum [2][3][12]

- The report introduces a timing model based on the distance between the short-term moving average (20-day) and the long-term moving average (120-day) of the Wind All A Index. The model identifies market conditions by observing the difference between these two averages. The latest data shows the 20-day moving average at 6633 and the 120-day moving average at 6485, with a difference of 2.28%, indicating a typical consolidation phase[3][7][12] - The mid-term industry allocation model highlights sectors with strong performance trends. It suggests focusing on industries related to computing power (e.g., semiconductor equipment ETF 159516.SZ, communication ETF 515880.SH), cyclical sectors (e.g., oil and gas ETF, energy chemical ETF 159981.SH), and the new energy sector. If a volume contraction signal appears, attention should shift to non-ferrous metals and military industries[3][6][8] - The report evaluates the market's valuation levels using PE and PB metrics. The Wind All A Index PE is positioned near the 90th percentile, indicating a relatively high valuation, while the PB is at the 50th percentile, reflecting a moderate valuation level[8][12] - The timing model suggests maintaining a 50% equity allocation for absolute return products based on the Wind All A Index, considering the current market environment and valuation levels[6][8][12]

Group 1: Report Industry Investment Rating - Not provided in the given content Group 2: Core Viewpoints of the Report - This April, the A-share market may be volatile and strong, and the slow-bull trend remains unchanged. The economy and corporate profits are likely to continue to recover, policies may remain positive, external risks may ease, domestic liquidity may remain loose, and stock market funds may flow back [2][10][20]. - This April, the technology and cyclical styles may be relatively dominant, and the large-cap and small-cap styles may be relatively balanced [2]. - In April, it is recommended to allocate high-quality technology and some cyclical industries at low prices [2]. Group 3: Summary According to the Directory I. A-share Slow-Bull Continues in April (1) Core factors affecting the A-share market's performance in April are fundamentals, policies, and external events - Since 2010, the Shanghai Composite Index has only risen in April in 6 out of 15 years. Economic and profit fundamentals are the core factors determining the A-share market's performance in April. Rising year-on-year growth rates of real estate sales, social retail, and exports may lead to an increase in the Shanghai Composite Index in April, while the impact of the growth rates of industrial enterprise profits and A-share first-quarter report earnings on the rise of the Shanghai Composite Index is not obvious. Policies and external events also have an important impact on the A-share market's performance in April [2][5]. (2) If the A-share market adjusts due to external events in February - March, it may be volatile and strong in April - After 5 major external events in February - March since 2000, the A-share market started to recover from a low level in the first half of April in 4 cases, with an average decline of 0.5% in April (compared to an average decline of 2.2% in March). The A-share market's relatively strong performance in April is mainly driven by a significant decline in sentiment and the return of foreign capital [8]. (3) The A-share market may be volatile and strong in April this year, and the slow-bull trend remains unchanged - In April, the economy may continue to recover. Consumption growth may stabilize, infrastructure and manufacturing investment growth may increase, and exports may maintain a high growth rate. Corporate profits may also continue to rise, with the year-on-year growth rate of PPI and the earnings growth rate of A-share first-quarter reports likely to continue to increase [10]. - Policies in April may remain positive, and external risks may ease marginally. The "Two New" and "Two Important" policies may be implemented more quickly, and the central bank may continue to implement loose monetary policies. The A-share market may have fully priced in the risks of the US - Iran conflict [20]. - Domestic liquidity in April may remain loose, and stock market funds may flow back. The Fed is less likely to cut interest rates this year, but the US economy and employment may remain weak, and the RMB exchange rate may remain strong. The central bank may increase capital injection in April. Historically, foreign capital often flows into the market in April, and this year, with the easing of risks and the recovery of the economy and corporate profits, stock market funds such as margin trading and foreign capital may flow back [21][22]. II. Industry Allocation: Allocate High-Quality Technology and Some Cyclical Industries at Low Prices in April (1) The technology and cyclical styles may be relatively dominant in April, and the large-cap and small-cap styles may be relatively balanced - Historically, the stable and financial styles often lead the market in April, mainly driven by policies and external events. However, this April, the technology and cyclical styles may be relatively dominant because the marginal impact of external shocks on the A-share market may decrease, policies supporting technological innovation may be further implemented, and the cyclical and technology hardware industries may continue to be prosperous [31]. - Historically, large-cap stocks usually outperform in April. However, this April, the large-cap and small-cap styles may be relatively balanced. The high profits of cyclical and technology industries in April may be beneficial to small-cap stocks, the difficult large-scale easing of overseas liquidity expectations may be beneficial to large-cap stocks, and domestic policies are favorable to small-cap stocks [33]. (2) The technology and cyclical industries may return to the main line in April - After the A-share market adjusts due to previous negative shocks, some high-quality technology and cyclical industries may still be dominant in April. Historically, after major external events in February - March, the technology growth and cyclical industries generally do not have excess returns in April, but some technology and cyclical industries with high performance growth rates may still be relatively dominant. Currently, industries such as electronics, communication, non-ferrous metals, and power equipment may be relatively dominant [36]. (3) The valuations of power equipment and media in the growth sector, and non-bank finance in the dividend sector are relatively cost-effective - Currently, the predicted PEGs of power equipment, media, and automobiles in the first - level growth industries are relatively low, at 0.76, 0.86, and 1.10 respectively. In the second - level growth industries, the predicted PEGs of nautical equipment, games, commercial vehicles, and batteries are relatively low, at 0.25, 0.41, 0.61, and 0.71 respectively [39][41]. - Currently, the valuation historical quantiles of non-bank finance, food and beverage, and agriculture, forestry, animal husbandry and fishery in the first - level dividend industries are relatively low, at 0.0%, 9.0%, and 13.2% respectively. In the second - level dividend industries, the valuation historical quantiles of insurance, white goods, and securities are relatively low, at 0.0%, 1.3%, and 7.1% respectively [43][46]. (4) It is recommended to allocate high-quality technology and some cyclical industries at low prices in April - It is recommended to allocate industries with upward policy and industrial trends, such as new energy (AI power, energy storage), communication (AI hardware), electronics (semiconductors, AI hardware), non-ferrous metals, chemicals, military (commercial space), and innovative drugs at low prices. These industries have various industry events and positive trends in April [48]. - It is also recommended to allocate low - valuation dividend industries such as coal, power, and banks at low prices. These industries have positive production data and industry events in April [53].

Quantitative Models and Construction Methods 1. Model Name: Fama-French Five-Factor Model - **Model Construction Idea**: The model extends the traditional Fama-French three-factor model by adding two additional factors: profitability and investment, to better explain asset returns[35][37] - **Model Construction Process**: The Fama-French Five-Factor Model is expressed as: $ R_i - R_f = \alpha + \beta_1 \cdot (R_m - R_f) + \beta_2 \cdot SMB + \beta_3 \cdot HML + \beta_4 \cdot RMW + \beta_5 \cdot CMA + \epsilon $ Where: - $ R_i $: Return of the portfolio - $ R_f $: Risk-free rate - $ R_m $: Market return - $ SMB $: Size factor (Small Minus Big) - $ HML $: Value factor (High Minus Low) - $ RMW $: Profitability factor (Robust Minus Weak) - $ CMA $: Investment factor (Conservative Minus Aggressive) - $ \alpha $: Intercept term - $ \beta_1, \beta_2, \beta_3, \beta_4, \beta_5 $: Factor loadings - $ \epsilon $: Error term[35][37] - **Model Evaluation**: The model effectively captures the market factor's positive contribution to returns, while value and investment factors show weak performance. The model highlights the fund manager's strong stock-picking ability, as excess returns are primarily driven by specific stock alpha rather than systematic factor exposure[35][37][39] --- Model Backtesting Results 1. Fama-French Five-Factor Model - **Market Factor Sensitivity**: Positive across all time windows (3 months, 6 months, 1 year, 3 years)[35][37] - **Value Factor Sensitivity**: Negative, indicating weak performance of value stocks[35][37] - **Investment Factor Sensitivity**: Weak, with limited contribution to returns[35][37] - **Excess Returns**: Primarily driven by specific stock alpha rather than systematic factor exposure[35][37][39] - **Risk Contribution**: Market factor is the primary source of risk, while value factor contributes positively to risk, reflecting increased volatility in high-valuation or low-profitability stocks[39][41] --- Quantitative Factors and Construction Methods 1. Factor Name: Market Factor - **Factor Construction Idea**: Captures the overall market trend and its impact on portfolio returns[35][37] - **Factor Construction Process**: $ Market\ Factor = R_m - R_f $ Where: - $ R_m $: Market return - $ R_f $: Risk-free rate[35][37] - **Factor Evaluation**: The market factor consistently provides significant positive contributions to returns, indicating that the overall market trend is a key driver of performance[35][37] 2. Factor Name: Value Factor - **Factor Construction Idea**: Measures the performance difference between high book-to-market (value) and low book-to-market (growth) stocks[35][37] - **Factor Construction Process**: $ Value\ Factor = HML = High\ B/M\ Portfolio\ Returns - Low\ B/M\ Portfolio\ Returns $ Where: - High B/M: High book-to-market ratio stocks - Low B/M: Low book-to-market ratio stocks[35][37] - **Factor Evaluation**: The value factor shows a negative sensitivity, indicating underperformance of value stocks during the analyzed period[35][37] 3. Factor Name: Investment Factor - **Factor Construction Idea**: Differentiates between conservative and aggressive investment strategies based on asset growth rates[35][37] - **Factor Construction Process**: $ Investment\ Factor = CMA = Conservative\ Portfolio\ Returns - Aggressive\ Portfolio\ Returns $ Where: - Conservative: Low asset growth rate stocks - Aggressive: High asset growth rate stocks[35][37] - **Factor Evaluation**: The investment factor exhibits weak performance, with limited impact on portfolio returns[35][37] --- Factor Backtesting Results 1. Market Factor - **Sensitivity**: Positive across all time windows (3 months, 6 months, 1 year, 3 years)[35][37] 2. Value Factor - **Sensitivity**: Negative, indicating weak performance of value stocks[35][37] 3. Investment Factor - **Sensitivity**: Weak, with limited contribution to returns[35][37] 4. Risk Contribution - **Market Factor**: Primary source of risk exposure[39][41] - **Value Factor**: Positive risk contribution, reflecting increased volatility in high-valuation or low-profitability stocks[39][41] - **Specific Risk**: Stable, with no significant changes in individual stock uncertainty[39][41]

Core Viewpoint - Huawei's Whale Battery Platform 3.0 introduces significant upgrades focusing on data security, safety through lightweight design, and temperature regulation to enhance battery lifespan and performance under extreme conditions [2][3]. Summary by Sections Data Security - The platform incorporates a "black box" for batteries to ensure data safety in extreme scenarios such as high temperatures, collisions, water exposure, and fires, utilizing solutions like star flash communication to maintain low power consumption while enhancing data security [2]. Safety Enhancements - A lightweight design is achieved through robust protective materials and innovative structural mechanics, which not only reduces weight but also improves safety. Additionally, radar is installed at the bottom of the battery to enhance its sensing capabilities [2]. Temperature Regulation - The platform employs gradient temperature liquid cooling technology to address battery lifespan and performance degradation issues in high-temperature conditions. This technology minimizes temperature differences during fast charging by up to 50%, thereby delaying battery aging and reducing range decline [2]. Battery Cell Orientation - Huawei continues to adhere to the technology path of upright battery cells, despite industry debates on the merits of upright versus inverted cell designs. The upright design is believed to mitigate risks associated with thermal runaway and short circuits, particularly in the event of external impacts [3][4].

Market Analysis - The A-share market showed a moderate recovery, with total trading volume narrowing to 1.86 trillion yuan, a decrease of 4.8% from the previous trading day, marking a new low for the year [2] - The Shanghai Composite Index closed at 3913.72 points, up 0.63%, while the Shenzhen Component Index rose by 1.13% to 13760.37 points, and the ChiNext Index increased by 0.71% to 3295.88 points [2] - The market exhibited a broad-based rally, with 4335 stocks rising compared to only 1070 declining, indicating a positive shift in market sentiment [2] Sector Performance - The leading sectors included pharmaceuticals, basic chemicals, and non-ferrous metals, which rose by 3.69%, 2.95%, and 2.83% respectively, reflecting a recovery in risk appetite [5] - Concept indices such as lithium mining (+7.42%), lithium battery electrolyte (+6.18%), and innovative drugs (+5.42%) showed significant strength, driven by expectations of price rebounds and policy support for the biopharmaceutical sector [5][7] - Conversely, defensive sectors like banking, telecommunications, and utilities experienced declines, indicating a shift in capital towards higher-growth areas [5][7] Bond Market - The bond futures market displayed a mixed trend, with short-term bonds rising while long-term bonds weakened, indicating a preference for mid to short-duration securities [11] - The People's Bank of China continued to inject liquidity into the market, maintaining a supportive stance on funding conditions, with Shibor rates remaining stable and low [11] Commodity Market - The commodity index rose, with energy and chemical products continuing to perform strongly; the Nanhua Commodity Index closed at 3073.2 points, up 0.48% [9] - Key commodities such as pure benzene and lithium carbonate saw significant price increases, driven by supply disruptions and strong demand expectations [16] Investment Themes - Key investment themes include artificial intelligence, commercial aerospace, nuclear fusion, and consumer sectors, with a focus on capital expenditure changes and policy support for consumption upgrades [13][15] - The energy and chemical sectors are influenced by geopolitical tensions in the Middle East, which continue to affect supply dynamics and pricing [13][15]

Market Performance - The Shanghai Composite Index increased by 0.63%[3] - The Shenzhen Component Index rose by 1.13%[3] - The CSI 300 Index saw a gain of 0.56%[3] - The ChiNext 50 Index grew by 0.93%[3] Sector Performance - The pharmaceutical and biotechnology sector led with a gain of 3.70%[3] - The non-ferrous metals sector increased by 2.88%[3] - The basic chemicals sector rose by 2.55%[3] - The utilities sector declined by 0.78%[3] - The banking sector fell by 0.50%[3] Concept Indices - The lithium mining index surged by 7.42%[3] - The lithium battery electrolyte index increased by 6.18%[3] - The innovative drug index rose by 5.42%[3] - The high送转 index decreased by 2.80%[3] Market Outlook - The market is expected to continue fluctuating, influenced by geopolitical tensions in the Middle East and oil prices[7] - The resilience of the market is supported by recent policy interventions from the central bank and the securities regulatory commission[7] - Attention should be paid to the latest developments in the Middle East over the weekend[7]

Group 1: Industry Research Highlights - The most popular industries for institutional research this week (March 23-27, 2026) are Electronics, Pharmaceuticals & Biotechnology, and Machinery Equipment, with Pharmaceuticals & Biotechnology emerging as a new focus due to policy upgrades and the internationalization of innovative drugs [1][11]. - Over the past 30 days (February 25 - March 27, 2026), the top industries by institutional research frequency are Electronics, Machinery Equipment, Pharmaceuticals & Biotechnology, and Basic Chemicals, with Electronics, Pharmaceuticals & Biotechnology, and Machinery Equipment receiving the most attention [1][13]. Group 2: Popular Companies for Institutional Research - In the past week, the companies with the highest number of institutional research visits and more than 10 ratings include Weisheng Information, China Ping An, Lexin Technology, China Construction Bank, and China Oilfield Services [2][16]. - Over the past 30 days, the companies with the most research visits and more than 10 ratings include Sunlord Electronics, Zoli Pharmaceuticals, and Huarui Precision [2][20]. Group 3: Key Company Research Summaries 1. **Sanhua Intelligent Control** - In 2025, the company achieved a revenue of 31.012 billion yuan, a year-on-year increase of 10.97%, and a net profit of 4.063 billion yuan, up 31.10%, with automotive parts revenue at 12.427 billion yuan [3][25]. - Capital expenditures focus on global capacity expansion in Mexico, Vietnam, Poland, and future projects in Thailand, while also advancing research in bionic robotics and AI technology applications [3][25]. 2. **Yuanjie Technology** - The company reported a revenue of 601.4 million yuan in 2025, a 138.50% increase year-on-year, and a net profit of 190.9 million yuan, turning profitable, with data center revenue soaring by 719.06% to 393.3 million yuan, accounting for 65.39% of total revenue [3][27][28]. - The company is optimizing its product structure and increasing the promotion of 10G EML products, with significant growth in the data center business driven by AI demand [3][28]. 3. **Yuntianhua** - The company achieved a total revenue of 48.415 billion yuan in 2025, with a net profit of 5.156 billion yuan, maintaining cost advantages through strategic reserves and procurement optimization despite rising sulfur prices [4][30]. - The company is also focusing on securing spring plowing supplies while seeking export opportunities, with a planned annual capacity of 15 million tons for the Zhenxiong phosphate mine [4][31].