Quantitative Models and Construction Methods 1. Model Name: Volume Timing Model - **Model Construction Idea**: The model uses volume-based timing signals to assess market sentiment and provide trading signals[23] - **Model Construction Process**: - The model evaluates the volume timing signals of major broad-based indices - Signals are categorized as "cautious" or "optimistic" based on volume trends - As of January 30, 2026, all major indices (e.g., SSE Composite Index, CSI 300, etc.) showed "cautious" volume timing signals[24] - **Model Evaluation**: The model provides a straightforward approach to gauge market sentiment but may lack granularity in capturing nuanced market dynamics[23][24] 2. Model Name: Momentum Sentiment Indicator - **Model Construction Idea**: This model identifies market sentiment by analyzing the proportion of stocks with positive returns in the CSI 300 Index over a specific period[24] - **Model Construction Process**: - The indicator is calculated as: $ \text{CSI 300 N-day Upward Stock Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns over N days}}{\text{Total number of CSI 300 stocks}} $ - The indicator is smoothed using two moving averages with different window periods (N1 = 50, N2 = 35) to create a "fast line" and a "slow line" - A buy signal is generated when the fast line exceeds the slow line, and a neutral signal is generated when the fast line falls below the slow line[26][28] - **Model Evaluation**: The indicator is effective in capturing upward market opportunities but may fail to predict downturns accurately. It also tends to miss gains during prolonged market exuberance[25] 3. Model Name: Moving Average Sentiment Indicator - **Model Construction Idea**: This model uses an eight-moving-average system to assess the trend state of the CSI 300 Index and generate trading signals[32] - **Model Construction Process**: - Calculate the eight moving averages of the CSI 300 Index closing price with parameters: 8, 13, 21, 34, 55, 89, 144, and 233 - Assign values to the indicator based on the number of moving averages the current price exceeds: - If the price exceeds more than five moving averages, the sentiment is bullish - Generate a buy signal when the current price exceeds five moving averages[36] - **Model Evaluation**: The model provides a clear framework for trend analysis but may oversimplify complex market dynamics[36] --- Model Backtesting Results 1. Volume Timing Model - All major indices (e.g., SSE Composite Index, CSI 300, CSI 500, etc.) showed "cautious" volume timing signals as of January 30, 2026[24] 2. Momentum Sentiment Indicator - The CSI 300 N-day upward stock proportion indicator was above 60% as of January 30, 2026, indicating high market sentiment[25] - The fast line was above the slow line, suggesting a bullish outlook for the CSI 300 Index[26] 3. Moving Average Sentiment Indicator - The CSI 300 Index was in a "sentiment prosperity zone" as of January 30, 2026, indicating a bullish sentiment[36] --- Quantitative Factors and Construction Methods 1. Factor Name: Cross-sectional Volatility - **Factor Construction Idea**: Measures the dispersion of returns among index constituents to assess the Alpha environment[37] - **Factor Construction Process**: - Calculate the cross-sectional volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[38] - **Factor Evaluation**: The factor effectively captures short-term Alpha opportunities but may not fully reflect long-term trends[37] 2. Factor Name: Time-series Volatility - **Factor Construction Idea**: Measures the volatility of index constituents over time to assess the Alpha environment[38] - **Factor Construction Process**: - Calculate the time-series volatility of index constituents (e.g., CSI 300, CSI 500, CSI 1000) - Compare the recent quarter's average volatility to historical percentiles to evaluate the Alpha environment[41] - **Factor Evaluation**: The factor provides insights into market stability but may be less effective in highly volatile markets[38] --- Factor Backtesting Results 1. Cross-sectional Volatility - CSI 300: Recent quarter average volatility at 2.14%, in the 69.55th percentile of the past two years[38] - CSI 500: Recent quarter average volatility at 2.45%, in the 50.79th percentile of the past two years[38] - CSI 1000: Recent quarter average volatility at 2.61%, in the 66.93rd percentile of the past two years[38] 2. Time-series Volatility - CSI 300: Recent quarter average volatility at 0.96%, in the 57.20th percentile of the past two years[41] - CSI 500: Recent quarter average volatility at 1.22%, in the 50.79th percentile of the past two years[41] - CSI 1000: Recent quarter average volatility at 1.17%, in the 64.94th percentile of the past two years[41]

Key Insights - The report provides a summary of recommended stocks across various industries for February 2026, highlighting investment opportunities based on specific market conditions and company performance [1][2]. Financial and Valuation Summary - **Banking Sector**: - China Merchants Bank (600036.SH) is recommended due to its clear performance bottom, attractive valuation, and potential for retail credit recovery [1][3]. - **Non-Banking Financials**: - Ping An Insurance (601318.SH) is favored for its ongoing transformation and improved product structure, alongside easing real estate risks [1][3]. - **Food and Beverage**: - Weilong Delicious Food (9985.HK) is noted for its innovative product development and solid channel foundation, expected to maintain or slightly increase profit margins [1][3]. - **Home Appliances**: - Haier Smart Home (600690.SH) is highlighted for its strategic positioning in high-end markets and operational efficiency improvements, benefiting from domestic policies and overseas demand [1][3]. - **Power Equipment**: - Keli (002782.SZ) is recognized for its strong market position in magnetic components and ongoing overseas expansion, with a focus on solid-state transformer applications [1][3]. - **Basic Chemicals**: - China Petroleum (601857.SH) is expected to benefit from declining natural gas import costs and increasing domestic market share [1][3]. - **Metals and Materials**: - China Aluminum (601600.SH) is positioned for growth due to its acquisition of Brazilian aluminum assets and high profitability from rising aluminum prices [1][3]. - **Electronics**: - Lante Optics (688127.SH) anticipates significant profit growth driven by expanding demand in various tech sectors, including AR glasses [1][3]. - **Internet**: - Alibaba (9988.HK) is projected to see substantial cloud revenue growth, supported by its "Cloud + AI + Chip" strategy [1][3]. - **Machinery**: - Boying Welding (301468.SZ) is expected to capture market share in HRSG and oil and gas composite pipes, benefiting from North American demand [1][3].

Group 1: Key Insights on Popular Concepts - The PEEK Materials Index, Machine Vision Index, and High Transfer Expectation Index have the highest institutional participation rates, with the PEEK Materials Index reaching its highest level in nearly 20 weeks at 9.07% [8][17] - The GPU Index, ASIC Chip Index, and Semiconductor Equipment Index show the highest growth rates in institutional participation, while the Aviation Transport Selected Index, Huawei Harmony Index, and Influenza Index have seen the largest declines in institutional participation [14][17] - The Gold and Jewelry Index, Rare Earth Permanent Magnet Index, and Aviation Transport Selected Index exhibit significant divergence between individual and institutional participation, with a notable decrease in individual participation in the Gold and Jewelry Index on January 30, 2026 [17] Group 2: Industry Participation Insights - The Mechanical, Electronic, and Light Industry Manufacturing sectors have the highest institutional participation rates, while the Oil and Petrochemical, Transportation, and Pharmaceutical sectors have seen the largest declines in participation [2][21] - The Electronic, Building Materials, and Basic Chemical sectors show the highest growth rates in institutional participation, contrasting with the declines in Oil and Petrochemical, Transportation, and Pharmaceutical sectors [23][22] - The Oil and Petrochemical, Coal, and Media sectors have the highest levels of divergence between individual and institutional participation [25]

两天前，印度举行的阅兵式上笑料不断，除了莫迪，总有两位面露困惑的大佬——欧盟委员会主席冯德莱恩和欧洲理事会主席安东尼奥·科斯塔。实际上， 他们两人出席阅兵式，只是顺便捧个场，第二天签署的自贸协议才是此次之行的真正重点。 根据协议内容，双方将在关税壁垒上进行大幅削减。具体来说，印度承诺将取消90%以上欧盟商品的关税，并对曾经受到严密保护的汽车和酒类市场做出史 无前例的开放。冯德莱恩在社交媒体上兴奋地宣布：我们创造了史上最棒的交易，建立一个涵盖20亿人口的自由贸易区。德国媒体《Table.Briefings》紧接 着发文分析称：若此协议持续十年，中国可能损失数千亿欧元。好家伙，欧盟和印度签个协议，竟然把中国也拖了进来，这算哪门子道理？ 这份备受瞩目的欧印自贸协议，终于在1月27日的印欧峰会上由莫迪正式宣布达成。莫迪激动地表示，协议的签署标志着双方合作潜力的巨大，因为协议所 覆盖的全球GDP占比达到25%，贸易额占比则为三分之一。 根据协议条款，欧盟出口至印度的商品中，超过90%将逐步免除或降低关税，预计每年可减少40亿欧元的关税支出，尤其是汽车关税将从现行的110%降至 10%，并设定每年25万辆的进口配额；机械 ...

Core Insights - The recent quarterly report for the 2025 fund provides insights into market trends and investment opportunities, particularly focusing on the analysis by fund manager You Guoliang from Changcheng Jiujia Innovation Growth Fund [1][3]. Group 1: Investment Focus - The fund continues to focus on national strategic emerging industries and the broader artificial intelligence sector, with particular attention to companies in the 3D printing technology-related machinery industry that are expected to benefit across multiple fields such as commercial aerospace, consumer electronics, and computing power [1][3]. Group 2: Market Trends - Overall, stocks related to the commercial aerospace sector have shown significant gains in Q4 2025. Despite the short-term price increases, commercial aerospace is a crucial part of the national strategic emerging industries and is emphasized in the "14th Five-Year Plan" as a key component of building a "space power" [1][3]. - The importance of commercial aerospace is increasing as it becomes a significant area of competition among major countries, with ongoing developments in reusable rocket recovery and low-orbit satellite networking that have yet to be fully realized [1][3].

Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots [1][4] - As of January 30, 2026, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 1.14%, Shenzhen Component Index 1.62%, CSI 300 1.76%, CSI 500 2.68%, CSI 1000 2.55%, CSI 2000 3.34%, ChiNext Index 1.24%, and STAR 50 Index 2.99% [6][26] - Among the CITIC first-level industry indices, the sectors closest to their 250-day new highs are Communication, Oil & Petrochemicals, Building Materials, Nonferrous Metals, and Light Industry Manufacturing [9][26] Group 2 - A total of 1,606 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the Machinery, Electronics, and Basic Chemicals sectors [2][14] - The sectors with the highest proportion of new high stocks are Nonferrous Metals (70.73%), National Defense & Military Industry (63.11%), and Oil & Petrochemicals (62.75%) [14][26] - The manufacturing and technology sectors had the most new high stocks this week, with 513 and 497 stocks respectively [17][26] Group 3 - The report identifies 50 stocks with stable new highs, including Purun Co., Yaxiang Integration, and Yuanjie Technology, primarily from the cyclical and technology sectors [3][22] - The cyclical sector had the most new high stocks, particularly in the Basic Chemicals industry, while the technology sector saw the most in the Electronics industry [22][27]

Group 1 - The definition of R&D factor includes both expense and capitalized expenditures, with A-share companies fully disclosing R&D expenses since 2019 [2][6][32] - R&D expenses are analyzed using three factors: R&D expenses/market value, R&D expenses/revenue, and R&D expense growth rate, utilizing data from January 31, 2019, to December 31, 2025 [2][11][42] Group 2 - The R&D expenses TTM/market value factor shows strong predictive ability and stability, with an average IC of 0.04 and a Sharpe ratio of 1.27, indicating high risk-adjusted returns [3][12][43] - The R&D expenses TTM/revenue factor performs well in small-cap stocks, achieving a multi-long annual return of 19.91% in the CSI 1000 index, but carries significant drawdown risk [3][19][51] - The R&D expense growth rate factor has weak stock selection effectiveness, with average IC and Rank IC being very low, indicating it is ineffective in the CSI 300 index [3][22][56] Group 3 - A single-factor strategy using R&D expenses/market value resulted in a total return of 605.36% from January 31, 2019, to January 29, 2026, outperforming the CSI 300 by 556.49% [4][35][28] - The latest selected stocks based on the R&D expenses/market value strategy include China National Petroleum Engineering, BOE Technology Group, and Hisense Home Appliances [4][35][28] Group 4 - The R&D expenses TTM/market value factor is a typical growth style factor, showing positive stock selection effectiveness in most years from 2019 to 2025, particularly in 2022-2023 [17][47][48] - The analysis of factor correlations suggests that the number of rating agencies and operating cash flow/revenue are ideal auxiliary factors to enhance the R&D factor's effectiveness [23][25]

Group 1 - The core viewpoint of the article highlights the strategic implications of the India-EU free trade agreement, which aims to reshape economic relations while exposing India's vulnerabilities in international competition [1][3]. - The agreement stipulates that the EU will implement zero tariffs on 99.5% of Indian goods over the next seven years, particularly benefiting labor-intensive sectors like textiles, leather, and pharmaceuticals, thus opening a significant European market for India [1][3]. - In exchange, India will significantly reduce tariffs on EU automobiles and machinery, presenting a seemingly mutually beneficial arrangement, but also revealing the fragility of India's economy under international competition [1][3]. Group 2 - Despite having competitive advantages in IT services and finance, India's economic structure is predominantly service-oriented, with a low manufacturing sector share and a high proportion of small and medium enterprises that are vulnerable to market fluctuations [3]. - The reduction of tariffs on EU automotive and machinery products is expected to impact India's local industries negatively, while short-term benefits in textiles and leather may not be sustainable due to a lack of core technological support in manufacturing [3]. - Institutional shortcomings and execution challenges further amplify the risks associated with the agreement, as effective implementation requires legislative approval and robust policy support, which are currently lacking in India's labor reforms and compliance with EU standards [3]. Group 3 - The recent political turmoil following the plane crash in Maharashtra, which resulted in the death of a key political figure, has intensified power struggles within the region, potentially affecting India's economic stability as Maharashtra contributes nearly 15% of the national GDP [5]. - Despite gaining temporary political advantages, the Modi government faces significant challenges ahead of the 2026 elections, with economic indicators such as GDP growth projected to slow to 6.2% and inflation rising to 4% [5]. - The future trajectory of India's economic development hinges on its ability to navigate the opportunities and risks presented by the free trade agreement, alongside addressing political, economic, and diplomatic challenges [7].

2025年，我国实施了新一轮机械、汽车行业稳增长工作方案，通过供需两端协同发力，深化科技创新和 产业创新深度融合，增强优质装备供给能力，装备工业对工业经济支撑作用更加突出。 同时，新兴产业正加快培育壮大。截至目前，我国已累计培育汽车行业国家级专精特新"小巨人"企业数 百家；人形机器人整机生产企业已超140家。 此外，智能制造水平显著提升。截至2025年底，装备制造业已累计建成卓越级智能工厂197家，占全国 总量的比重为39%。在首批公布的15家领航级智能工厂中，有6家来自装备制造业，占比40%。 下一步，我国将推动人工智能应用进一步深入产品研发、质量检测、客户服务等各个环节，为产业高质 量发展奠定坚实基础。 2025年，我国装备制造业基础领域创新成果持续涌现：4000吨级轮式起重机在山地大型风电机组吊装工 程中投入应用，世界最大直径24米竖井掘进机成功下线。一系列关键核心技术突破，让装备制造业"压 舱石"作用更加凸显。2025年，我国规模以上装备制造业增加值占全部规模以上工业比重为36.8%，较 2024年提高2.2个百分点。 记者：王世玉、罗宏进 2025年，我国汽车、电子行业增加值同比增长分别为11.5% ...

Core Viewpoint - The European Parliament has voted to submit the EU-Mercosur Free Trade Agreement for review by the EU Court, which may delay the approval process and increase uncertainty regarding its implementation [1] Group 1: Agreement Overview - The EU and Mercosur reached the EU-Mercosur Partnership Agreement after over 25 years of negotiations, marking the largest and highest-level trade agreement between the EU and Latin America [1][2] - The agreement aims to create a free trade area covering approximately 700 million people by systematically reducing tariffs and non-tariff barriers, deepening economic ties and regulatory integration between the two regions [2] Group 2: Strategic Implications for the EU - The agreement is expected to increase EU exports to Mercosur by approximately 39%, creating over 440,000 jobs and opening new markets for industries facing competition from the US and China [3] - The EU aims to diversify its supply chains by accessing key raw materials such as lithium, copper, and soybeans from Mercosur, enhancing economic resilience [3] - The agreement incorporates environmental commitments, including adherence to the Paris Agreement and Amazon rainforest protection, as core elements to embed EU values in the Latin American market [3] Group 3: Mercosur's Objectives - Mercosur countries seek to access the EU's high-end market for agricultural products like beef, sugar, and ethanol, while attracting EU investments in manufacturing and renewable energy to upgrade their industrial structures [4] - The agreement has drawn criticism from the US, which accuses the EU of monopolizing the South American market through geographical indication protections, reflecting the EU's strategic intent to counter US protectionism [4] Group 4: Tariff Liberalization and Sensitive Industries - The tariff liberalization level is close to 90%, with Mercosur committing to liberalize 91% of its import value and the EU 92% of its import value [5] - Both parties have set a transition period of up to 15 years for sensitive industries, with the EU implementing strict quota management for sensitive agricultural products to address domestic opposition [5][6] Group 5: Market Access and Competition - The agreement expands EU companies' access to Mercosur's government procurement and key service sectors, creating fairer competition opportunities [10][11] - It establishes high standards for intellectual property protection, particularly for geographical indications, enhancing the EU's agricultural brand interests [12] Group 6: Environmental and Labor Standards - The agreement links trade to sustainable development, incorporating legally binding environmental commitments and labor rights protections [13] - It introduces rules to ensure fair competition between state-owned and private enterprises, promoting a neutral market environment [14] Group 7: Dispute Resolution Mechanism - A multi-tiered dispute resolution mechanism is established to address trade disputes more effectively than under WTO frameworks, enhancing the agreement's stability and predictability [15] Group 8: Implications for China - The agreement poses structural challenges and opportunities for China, potentially impacting its market share in the region while also encouraging industrial upgrades and strategic cooperation [16][17] - China can leverage the demand for intermediate goods in Mercosur to strengthen its position in global supply chains and explore new cooperative models [18]