Group 1: Macro Insights - The report emphasizes the long-term value of precious metals like gold and silver due to geopolitical restructuring and deteriorating fiscal sustainability, suggesting a need to adjust pricing systems for scarce real assets and core equity assets [2][3] - It highlights that the global investment cycle post-2026 will be more "material-intensive," with demand for key commodities in AI and defense sectors remaining price-sensitive [2] Group 2: Market Strategy - The report suggests a focus on technology and cyclical "material" sectors to lead the rebound in the Hong Kong stock market, with a positive outlook for the first quarter [3] - It notes that the sentiment index has returned to neutral, indicating a potential for continued market recovery, particularly in AI chains and innovative pharmaceuticals [3] Group 3: Company-Specific Insights - Botai Carlink is highlighted as a leading player in smart cockpit solutions, with a target price of 286.67 HKD and expected revenue CAGR of 43.8% from 2025 to 2027, driven by its competitive advantages in high-end SoC platforms and the Harmony ecosystem [11] - Chuanheng Co., a leader in the phosphate chemical industry, is rated "Buy" with a target price of 50.73 CNY, benefiting from a tight global phosphate supply-demand situation and expected growth in its phosphate-related businesses [11] - Laopu Gold is expected to perform well during the Spring Festival sales season, with ongoing expansion and strong sales performance, maintaining a "Buy" rating [14] Group 4: Financial Sector Insights - The report indicates that financial stocks have seen increased positions, with banks and brokers experiencing slight increases in fund holdings, suggesting a positive outlook for the sector [9] - China Merchants Bank shows marginal improvement in operating performance, with a stable asset quality and a "Buy" rating maintained for both A and H shares [17] Group 5: Industry Trends - The report notes that the small-cap stocks have shown high crowding, particularly in sectors like building materials and textiles, suggesting limited upside potential in the short term [5] - The report also discusses the strong demand for wind power in the domestic market, with New Strong Union expected to benefit from increased TRB bearing penetration, maintaining an "Increase" rating [16]

Investment Rating - The report initiates coverage on Chuanheng Co., Ltd. with a "Buy" rating, assigning a target price of RMB 50.73 based on a 19x PE for 2026 [1][8][6]. Core Insights - Chuanheng Co., Ltd. is a leading player in the domestic phosphate chemical industry, possessing a nominal phosphate rock capacity of 3.3 million tons. The company's self-owned phosphate mines contribute to its high gross margin in the industry. The global phosphate supply-demand balance is expected to remain tight in the next 1-2 years, benefiting the company. Additionally, the anticipated growth in new energy demand is expected to enhance the company's business in iron phosphate, ammonium phosphate, and phosphoric acid [1][15][19]. - The company is projected to achieve a net profit of RMB 1.31 billion, RMB 1.62 billion, and RMB 1.8 billion for the years 2025-2027, representing year-on-year growth of 37%, 24%, and 11%, respectively [6][12]. Summary by Sections Phosphate Supply and Demand - The global expansion of phosphate rock production is slow due to limited new supply overseas and regulatory constraints in China. The demand for phosphate fertilizers is expected to grow by 3% annually starting in 2024, driven by the expansion of arable land and increasing new energy needs. The projected global phosphate rock supply-demand gap is estimated to reach 178,000 tons, 95,000 tons, and 121,000 tons from 2025 to 2027 [2][14]. New Energy Demand - The demand for phosphate chemical products has significantly increased due to the rise in lithium battery materials. Although there was a notable price drop in 2023-2024 due to concentrated production, the demand for energy storage and power batteries is expected to improve, leading to a recovery in the industry. The company's iron phosphate and industrial-grade ammonium phosphate are anticipated to benefit from this trend [3][16]. Profitability and Dividend Policy - The company has entered a growth realization phase, with a significant reduction in its debt ratio and an attractive dividend yield. The dividend payout ratio has increased to around 70%, with expected dividend yields of 3.7%, 4.5%, and 5.0% for 2025-2027 [17][33]. The company’s net profit for 2024 is projected to be RMB 956.48 million, reflecting a compound annual growth rate (CAGR) of approximately 37% since 2021 [17][12]. Market Perspective - The report contrasts with market concerns regarding the sustainability of tight phosphate supply. It argues that the demand for phosphate fertilizers remains robust, and the growth in iron phosphate production capacity will support continued tightness in supply. The company is expected to benefit from high phosphate prices and a favorable cost structure due to its significant export share [5][18]. Company Overview - Chuanheng Co., Ltd. is recognized as a leading integrated phosphate chemical enterprise in China, with a comprehensive production base from phosphate mining to fine phosphate chemicals. The company has a total phosphate rock capacity of 3.3 million tons and has been expanding its production capabilities [19][24].

Investment Rating - The report initiates coverage on Chuanheng Co., Ltd. with a "Buy" rating, assigning a target price of RMB 50.73 based on a 19x PE for 2026 [1][8][6]. Core Insights - Chuanheng Co., Ltd. is a leading player in the domestic phosphate chemical industry, possessing a nominal phosphate rock capacity of 3.3 million tons. The company's self-owned phosphate mines contribute to its high gross margin in the industry. The global phosphate supply-demand balance is expected to remain tight in the next 1-2 years, benefiting the company. Additionally, the anticipated growth in demand for new energy is expected to enhance the company's revenues from products such as iron phosphate, ammonium phosphate, and phosphoric acid [1][15][19]. - The company is projected to achieve a net profit of RMB 1.31 billion, RMB 1.62 billion, and RMB 1.8 billion for the years 2025-2027, representing year-on-year growth rates of 37%, 24%, and 11%, respectively [6][12]. Summary by Sections Phosphate Industry Outlook - The global expansion of phosphate rock production is slow due to limited new supply and stringent regulations in China. The demand for phosphate fertilizers is expected to grow by 3% annually starting in 2024, driven by the expansion of arable land and increasing demand for new energy [2][14]. - The report estimates a global phosphate supply-demand gap of approximately 1.78 million tons, 0.95 million tons, and 1.21 million tons for the years 2025-2027, indicating a continued tight supply situation [2][15]. New Energy Demand - The demand for phosphate chemical products related to new energy is anticipated to recover, particularly for iron phosphate and industrial-grade ammonium phosphate, as the industry shows signs of improvement due to rising storage and power battery demands [3][16]. Financial Performance and Valuation - The company has entered a growth phase, with a significant increase in net profit expected. The debt ratio has improved, and the dividend payout ratio has increased to around 70%, with projected dividend yields of 3.7%, 4.5%, and 5.0% for 2025-2027 [17][33]. - The report highlights that the company’s gross margin is among the highest in the industry, supported by its strong export capabilities and the non-fertilizer use of its phosphate products [4][28]. Market Perspective - The report contrasts its views with market concerns regarding the sustainability of tight phosphate supply. It argues that the demand for phosphate fertilizers remains robust, and the regulatory environment will continue to support high phosphate prices [5][18].

Core Insights - The A-share market is experiencing a rotation towards high-performing sectors, with small-cap stocks leading the gains amid mixed funding sentiment. The focus is on the flexibility of capital and the direction of future rotations, particularly towards sectors with performance validation [1][2] - Despite a net outflow of over 500 billion from broad-based ETFs since mid-January, there remains a strong underlying demand for capital, supported by insurance funds and the need for profit-taking among investors [2][3] - Historical data indicates that sectors with sustainable recovery capabilities tend to yield excess returns during earnings forecast disclosure periods, with current focus on price-increasing chains, high-end manufacturing, and AI-related sectors [3][4] Market Dynamics - The net outflow from major ETFs, particularly those linked to the CSI 300, has been significant, with share reductions of 29% for the CSI 300 ETF, 16% for the CSI 500 ETF, and 45% for the CSI 1000 ETF. However, the market's trading volume remains high, indicating a strong trading sentiment [2][3] - The performance of sectors such as non-ferrous metals, automobiles, electronics, and transportation is expected to improve, with a focus on price recovery chains and high-end manufacturing as key areas for investment [4][5] Investment Strategy - Investors are advised to continue positioning for the spring market, focusing on sectors with high performance potential and signs of recovery, such as batteries and certain chemical products. Additionally, attention should be given to sectors benefiting from price increases, including non-ferrous metals and storage chips [5][4] - The report suggests a gradual shift towards sectors with performance recovery, particularly those with improving earnings forecasts, as the earnings disclosure period approaches [3][4]

Investment Rating - The report maintains a "Buy" rating for H&H International Holdings and By-Health Co., Ltd. [8][10] Core Insights - The AKK probiotic market is expected to grow significantly, with the global market projected to reach approximately 2.35 billion RMB in 2024 and 4.46 billion RMB by 2031, reflecting a CAGR of 9.6% [3] - The Chinese probiotic market is anticipated to exceed 137.7 billion RMB by 2026, driven by a growth rate of 11-12% in recent years [2] - The AKK probiotic has shown promising effects in improving obesity, regulating blood sugar and lipids, and has potential anti-aging benefits [1][2] Summary by Sections Market Potential - The Chinese probiotic market is rapidly expanding, with significant growth in various application sectors, including food and beverages (67%), dietary supplements (19%), healthcare (6%), animal nutrition (5%), and personal care (3%) [2] - The demand for AKK probiotics is expected to accelerate due to its clear efficacy and technological advancements in industrial production [2][4] Technological Advancements - Recent breakthroughs in the cultivation of AKK probiotics have improved supply stability, allowing for industrial-scale production [3][4] - The approval of AKK as a new food ingredient in regions like the EU and Australia indicates its safety and potential for broader market acceptance [4] Investment Opportunities - The report highlights investment opportunities in the AKK probiotic supply chain, recommending companies like H&H International Holdings and By-Health Co., Ltd. for their proactive engagement in this emerging market [5][8] - H&H International Holdings is noted for its product reserves related to AKK, while By-Health is expanding its product range to meet diverse consumer needs [5][11]

Investment Rating - The investment rating for Intel (INTC US) is maintained as "Buy" with a target price of $71.50 [6][4]. Core Views - Intel's Q4 2025 performance exceeded expectations, but the guidance for Q1 2026 is cautious, leading to a stock price drop of over 12% [1]. - The focus should be on the progress of the Foundry transformation and the advancement of foundry orders, rather than short-term financial results [1]. - The company is optimistic about the yield and customer progress for the 18A process node and the demand for Panther Lake [1]. Summary by Sections Financial Performance - Q4 2025 revenue was $13.7 billion, down 4.1% year-over-year but exceeded expectations by 2.1% [1]. - Non-GAAP gross margin and EPS were 37.9% and $0.15, respectively, surpassing expectations [1]. - Q1 2026 revenue guidance is between $11.7 billion and $12.7 billion, with a Non-GAAP gross margin of 34.5% and EPS of $0.00, indicating ongoing cost challenges [1]. Foundry Business - Foundry revenue for Q4 2025 was $4.5 billion, above the expected $4.4 billion, reflecting a year-over-year increase of 3.8% [2]. - The introduction of the 18A process node, featuring RibbonFET and PowerVia technologies, positions Intel to compete with TSMC [2]. - The company is expected to receive support from the U.S. government and industry partners to secure foundry orders [2]. Market Dynamics - CCG revenue was $8.2 billion, slightly below expectations, while DCAI revenue was $4.7 billion, reflecting strong data center demand [3]. - Intel's market share in the x86 CPU market remains strong, with a reported 72% share in the server segment [3]. - The company plans to enhance its CPU offerings through integration with NVIDIA's GPU technology [3]. Valuation and Forecast - Revenue forecasts for 2026 and 2027 have been raised by 2.6% and 4.2% to $57.5 billion and $61.0 billion, respectively [4]. - The valuation method has been adjusted to a price-to-book (PB) basis, with a target PB of 2.5x for 2026 [4]. - The target price has been increased to $71.50, reflecting confidence in the company's operational improvements and market positioning [4].

Investment Rating - The report maintains an "Overweight" rating for the company with a target price of RMB 62.00 [5][4]. Core Insights - The company is expected to achieve a net profit attributable to shareholders of RMB 7.8-9.2 billion for 2025, representing a year-on-year increase of 1093%-1307%. The non-recurring profit is projected to be RMB 6.8-8.2 billion, an increase of 356%-450%, aligning with expectations due to industry demand recovery and market share expansion [1][2]. - The penetration rate of TRB bearings is anticipated to increase significantly, with projections of 50% in 2025, 80% in 2026, and 90% in 2027 for onshore wind turbines. The company is leveraging its technological advantages and increasing production capacity to support this growth [2][3]. - The company is actively expanding into the gearbox bearing market, which has a low domestic production rate. It has completed prototype validations and small-scale supplies to several gearbox manufacturers, with expectations for large-scale supply in 2026 [3]. Summary by Sections Performance Forecast - The company expects to see a continuous increase in TRB main bearing penetration and market share, leading to an upward revision of revenue forecasts for 2026-2027. The projected net profits for 2025, 2026, and 2027 are RMB 8.77 billion, RMB 12.82 billion, and RMB 14.99 billion, respectively, with corresponding EPS of RMB 2.12, RMB 3.10, and RMB 3.62 [4][8]. Valuation - The report assigns a P/E ratio of 20x for 2026, resulting in a target price of RMB 62, reflecting the company's significant first-mover advantage in TRB bearings and leading position in gearbox bearing domestic substitution [4][5].

Quantitative Models and Construction Methods Model: AI CSI 1000 Enhanced Portfolio - **Construction Idea**: The model is based on the full-spectrum fusion factor, which integrates both high-frequency and low-frequency price-volume data using deep learning and multi-task learning techniques[6][7] - **Construction Process**: 1. Train 27 high-frequency factors using a deep learning model to obtain high-frequency deep learning factors 2. Use multi-task learning to extract end-to-end features from low-frequency price-volume data, resulting in low-frequency multi-task factors 3. Combine the high-frequency and low-frequency factors to form the full-spectrum fusion factor[6] - **Evaluation**: The model shows significant excess returns and a high information ratio, indicating strong performance and effective risk management[1][7] - **Backtest Results**: - Annualized excess return: 21.60% - Annualized tracking error: 6.06% - Information ratio (IR): 3.57 - Maximum drawdown of excess return: 7.55% - Calmar ratio of excess return: 2.86[1][7] Model: LLM-FADT Text Stock Selection Strategy - **Construction Idea**: The model enhances the BERT-FADT strategy by incorporating additional interpretations from a large language model (LLM), including new title interpretations, market catalysts, implied meanings, potential risks, and return guidance[2][14][17] - **Construction Process**: 1. Input six types of text into a fine-tuned FinBERT model: original text, new title interpretations, market catalysts, implied meanings, potential risks, and return guidance 2. Convert these texts into text feature vectors 3. Train an XGBoost model using these enriched text features[17] - **Evaluation**: The LLM-FADT strategy is more stable and has smaller excess drawdowns compared to the BERT-FADT strategy, showing better performance in extreme market conditions[2][14][20] - **Backtest Results**: - Annualized return: 30.10% - Annualized excess return: 25.52% - Sharpe ratio: 1.18 - Information ratio (IR): 2.00[2][20][24] Model: AI Industry Rotation Model - **Construction Idea**: The model uses the full-spectrum fusion factor to score 32 primary industries and constructs a weekly rebalancing strategy by equally weighting the top 5 industries[3][38] - **Construction Process**: 1. Score each industry using the full-spectrum fusion factor based on the industry component stocks 2. Select the top 5 industries with the highest scores 3. Equally weight these industries and rebalance weekly[38][43] - **Evaluation**: The model effectively utilizes AI's feature extraction capabilities to capture patterns in multi-frequency price-volume data, complementing top-down strategies[3][38] - **Backtest Results**: - Annualized return: 26.87% - Annualized excess return: 19.02% - Maximum drawdown of excess return: 12.43% - Sharpe ratio of excess return: 1.85[3][41] Model: AI Thematic Index Rotation Model - **Construction Idea**: The model scores 133 thematic indices using the full-spectrum fusion factor and constructs a weekly rebalancing strategy by equally weighting the top 10 thematic indices[4][28] - **Construction Process**: 1. Score each thematic index using the full-spectrum fusion factor based on the index component stocks 2. Select the top 10 thematic indices with the highest scores 3. Equally weight these indices and rebalance weekly[28][31] - **Evaluation**: The model leverages AI to identify and capitalize on trends in thematic indices, providing a diversified and dynamic investment approach[4][28] - **Backtest Results**: - Annualized return: 16.92% - Annualized excess return: 9.37% - Maximum drawdown of excess return: 20.79% - Sharpe ratio of excess return: 0.73[4][30] Model Backtest Performance AI CSI 1000 Enhanced Portfolio - Annualized excess return: 21.60% - Annualized tracking error: 6.06% - Information ratio (IR): 3.57 - Maximum drawdown of excess return: 7.55% - Calmar ratio of excess return: 2.86[1][7] LLM-FADT Text Stock Selection Strategy - Annualized return: 30.10% - Annualized excess return: 25.52% - Sharpe ratio: 1.18 - Information ratio (IR): 2.00[2][20][24] AI Industry Rotation Model - Annualized return: 26.87% - Annualized excess return: 19.02% - Maximum drawdown of excess return: 12.43% - Sharpe ratio of excess return: 1.85[3][41] AI Thematic Index Rotation Model - Annualized return: 16.92% - Annualized excess return: 9.37% - Maximum drawdown of excess return: 20.79% - Sharpe ratio of excess return: 0.73[4][30]

Quantitative Models and Construction Methods 1. Model Name: A-Share Technical Scoring Model - **Model Construction Idea**: The model aims to fully explore technical information to depict market conditions, breaking down the abstract concept of "market state" into five dimensions: price, volume, volatility, trend, and crowding. It generates a comprehensive score ranging from -1 to +1 based on equal-weighted voting of signals from 10 selected indicators across these dimensions[9][14] - **Model Construction Process**: 1. Select 10 effective market observation indicators across the five dimensions[14] 2. Generate long/short timing signals for each indicator individually 3. Aggregate the signals through equal-weighted voting to form a comprehensive score between -1 and +1[9] - **Model Evaluation**: The model provides a straightforward and timely way for investors to observe and understand the market[9] 2. Model Name: Style Timing Model (Small-Cap Crowding) - **Model Construction Idea**: The model uses a crowding-based trend approach to time large-cap and small-cap styles. Crowding is measured by the difference in momentum and trading volume ratios between small-cap and large-cap indices[3][20] - **Model Construction Process**: 1. Calculate the momentum difference between the Wind Micro-Cap Index and the CSI 300 Index across 10/20/30/40/50/60-day windows 2. Compute the trading volume ratio between the two indices over the same windows 3. Derive crowding scores for small-cap and large-cap styles by averaging the highest and lowest quantiles of the above metrics, respectively 4. Combine the momentum and volume scores to obtain the final crowding score. A score above 90% indicates high small-cap crowding, while below 10% indicates high large-cap crowding[25] - **Model Evaluation**: The model effectively captures the dynamics of style crowding and provides actionable insights for timing decisions[20][25] 3. Model Name: Industry Rotation Model (Genetic Programming) - **Model Construction Idea**: The model applies genetic programming to directly extract factors from industry indices' price, volume, and valuation data, without relying on predefined scoring rules. It uses a dual-objective approach to optimize factor monotonicity and top-group performance[28][32][33] - **Model Construction Process**: 1. Use NSGA-II algorithm to optimize two objectives: |IC| (information coefficient) and NDCG@5 (normalized discounted cumulative gain for top 5 groups) 2. Combine weakly collinear factors using a greedy strategy and variance inflation factor to form industry scores 3. Select the top 5 industries with the highest multi-factor scores for equal-weight allocation, rebalancing weekly[32][34] - **Model Evaluation**: The dual-objective genetic programming approach enhances factor diversity and reduces overfitting risks, making it a robust tool for industry rotation[32][34] 4. Model Name: China Domestic All-Weather Enhanced Portfolio - **Model Construction Idea**: The model adopts a macro-factor risk parity framework, emphasizing risk diversification across underlying macro risk sources rather than asset classes. It actively overweights favorable quadrants based on macro momentum[39][42] - **Model Construction Process**: 1. Divide macro risks into four quadrants based on growth and inflation expectations: growth above/below expectations and inflation above/below expectations 2. Construct sub-portfolios within each quadrant using equal-weighted assets, focusing on downside risk 3. Adjust quadrant risk budgets monthly based on macro momentum indicators, which combine buy-side momentum from asset prices and sell-side momentum from economic forecast surprises[42] - **Model Evaluation**: The strategy effectively integrates macroeconomic insights into portfolio construction, achieving enhanced performance through active allocation adjustments[39][42] --- Model Backtesting Results 1. A-Share Technical Scoring Model - Annualized Return: 20.78% - Annualized Volatility: 17.32% - Maximum Drawdown: -23.74% - Sharpe Ratio: 1.20 - Calmar Ratio: 0.88[15] 2. Style Timing Model (Small-Cap Crowding) - Annualized Return: 28.46% - Maximum Drawdown: -32.05% - Sharpe Ratio: 1.19 - Calmar Ratio: 0.89 - YTD Return: 11.85% - Weekly Return: 5.25%[26] 3. Industry Rotation Model (Genetic Programming) - Annualized Return: 32.92% - Annualized Volatility: 17.43% - Maximum Drawdown: -19.63% - Sharpe Ratio: 1.89 - Calmar Ratio: 1.68 - YTD Return: 6.80% - Weekly Return: 3.37%[31] 4. China Domestic All-Weather Enhanced Portfolio - Annualized Return: 11.93% - Annualized Volatility: 6.20% - Maximum Drawdown: -6.30% - Sharpe Ratio: 1.92 - Calmar Ratio: 1.89 - YTD Return: 3.59% - Weekly Return: 1.54%[43] --- Quantitative Factors and Construction Methods 1. Factor Name: Small-Cap Crowding Factor - **Factor Construction Idea**: Measures the crowding level of small-cap style based on momentum and trading volume differences between small-cap and large-cap indices[20][25] - **Factor Construction Process**: 1. Calculate momentum differences and trading volume ratios for multiple time windows 2. Derive crowding scores by averaging the highest and lowest quantiles of these metrics 3. Combine momentum and volume scores to obtain the final crowding score[25] 2. Factor Name: Industry Rotation Factor (Genetic Programming) - **Factor Construction Idea**: Extracts factors from industry indices using genetic programming, optimizing for monotonicity and top-group performance[32][34] - **Factor Construction Process**: 1. Perform cross-sectional regression of standardized daily trading volume against daily price gaps to obtain residuals (Variable A) 2. Identify the trading day with the highest standardized volume in the past 9 days (Variable B) 3. Conduct time-series regression of Variables A and B over the past 50 days to obtain intercepts (Variable C) 4. Compute the covariance of Variable C and standardized monthly opening prices over the past 45 days[38] --- Factor Backtesting Results 1. Small-Cap Crowding Factor - YTD Return: 11.85% - Weekly Return: 5.25%[26] 2. Industry Rotation Factor (Genetic Programming) - Training Set IC: 0.340 - Factor Weight: 18.7% - YTD Return: 6.80% - Weekly Return: 3.37%[31][38]

Investment Rating - The report maintains an "Overweight" rating for the real estate development and service sectors [6] Core Insights - The real estate sector is experiencing a significant reduction in holdings, with public funds and northbound capital reaching new lows in their investment proportions. The market is currently stabilizing, with a focus on recovery in core cities, particularly first-tier cities [1][2] - Recommended investment opportunities include companies with strong credit, urban presence, and product quality, as well as those with robust operational capabilities to manage cash flow during market adjustments [1] - The report highlights a shift in holdings concentration, with Beike rising to the top position among public fund holdings, indicating a narrowing of investor divergence in the sector [3] Summary by Sections Public Fund Holdings - As of Q4 2025, the total market value of public fund holdings in the real estate sector was 38.8 billion yuan, a 31% decrease quarter-on-quarter. The sector's holdings accounted for 0.43% of total stock investments, down 0.19 percentage points [2] - The real estate sector index fell by 8.9%, ranking 30th out of 31 sectors, primarily due to declining fundamentals and some companies hitting new stock price lows [2] Northbound Capital - Northbound capital's total holdings in real estate stocks were 11.5 billion yuan, a 17% decrease quarter-on-quarter, representing 0.45% of total northbound holdings [4] - The top five real estate stocks held by northbound capital include China Merchants Shekou, Poly Developments, and others, with notable increases in holdings for companies with "real estate+" attributes [4] Recommended Companies - Key recommended companies include: - Yuexiu Property (123 HK) with a target price of 7.06 HKD and a "Buy" rating [8] - Longfor Group (960 HK) with a target price of 15.21 HKD and a "Buy" rating [8] - Greentown Service (2869 HK) with a target price of 6.56 HKD and a "Buy" rating [8] - China Overseas Development (688 HK) with a target price of 19.08 HKD and a "Buy" rating [8] - China Merchants Shekou (001979 CH) with a target price of 12.79 CNY and a "Buy" rating [8] - CR Land (1109 HK) with a target price of 36.45 HKD and a "Buy" rating [8] - Others include companies like Greenland China, and Hong Kong local firms benefiting from market recovery [1][8] Performance Insights - Beike's market value increased significantly, reflecting a strong investor interest, while other companies like Poly Developments and China Merchants Shekou saw reductions in their holdings [3][4] - The report emphasizes the importance of operational efficiency and cash flow management for companies navigating the current market challenges [1][3]