Core Insights - The new energy sector is experiencing a reversal in supply and demand dynamics, with positive changes on the supply side driven by market factors and "anti-involution" policies [1][2] - Investment opportunities are not only arising from supply improvements but also depend on sustained demand performance [1][3] Supply and Demand Dynamics - After a prolonged adjustment period, the new energy sector has shown significant strength this year, with prices and profits at low levels across various segments [2] - The supply-demand gap in the industry has been narrowing since last year, and there is a strong possibility of a supply shortage next year, leading to a sustained price increase cycle [2] - Recent stabilization in lithium carbonate prices is crucial for the new energy industry, as it is more market-driven compared to cobalt prices, which are influenced by non-market factors [2] Investment Strategy - The investment strategy focuses on high-end manufacturing and technology sectors, selecting companies with global competitiveness and supporting their growth over the long term [4] - The current investment portfolio is concentrated in new energy, electronics, machinery, and military industries, with a "two-end allocation" strategy that emphasizes technology and AI on one end and new energy and military on the other [4] - AI technology is accelerating its implementation across various sectors, contributing to actual revenue for some companies, indicating a continuous emergence of high-quality investment opportunities [4]

霍瑞戎表示，为顺应这一趋势，上交所将始终锚定服务国家战略、推动高质量发展为目标，持续提升上市公司质量，营造 长期资金入市的良好生态，不断增强市场的包容性、适应性和吸引力。 霍瑞戎介绍了上交所促进上市公司高质量发展的相关情况，主要为"稳、进、投融资端协调发展"三方面。 "稳"方面，一是夯实基础巩固上市公司长期向好的态势。霍瑞戎提到，上交所主要以《推动提高上市公司质量三年行动计 划》为抓手，积极夯实上市公司长期向好的发展基础。具体来看，助力上市公司改善经营条件。强化与各部门各地方的协同， 最大限度提高上市公司质量和稳健经营的资源。今年上半年，沪市公司归母净利润2.39万亿元，实现正增长，其中，电子、通 信、医药生物、轨交设备等新兴产业营收增速达到7.5%，食品饮料、家用电器等消费行业营收增速达到12%，成为稳增长的重 要支撑。 二是促进上市公司提升规范化运作和治理水平。一方面修订《股票上市规则》等规则，规范独立董事、审计委员会履职， 加强中小股东权利保护；另一方面发布了《可持续发展报告编制指南》并配套了专项培训，不断提升可持续发展的能力建设。 本报讯 （记者毛艺融）10月18日，在全球财富管理论坛·2025上海苏 ...

Core Viewpoint - The implementation of the "Ten Key Industries Stabilization Growth Plan" aims to provide a clear roadmap for the industrial economy's stability and transformation, focusing on ten key sectors that account for approximately 70% of the industrial economy [1] Group 1: Policy Framework - The plan emphasizes a dual approach of supply and demand, establishing a systematic policy framework to address structural challenges through the elimination of outdated capacity and optimization of industrial structure [2] - Specific measures are tailored to different industries, such as promoting upgrades in the electronic information manufacturing sector and focusing on new energy and smart grid equipment in the power equipment sector [2] Group 2: Technological Innovation - The plan prioritizes technological innovation and quality improvement, outlining differentiated innovation paths for various industries, including smart manufacturing in machinery and green products in light industry [3] - A complete industrial ecosystem is established across the ten industries, facilitating the incubation and application of new technologies and models, thereby enhancing overall competitiveness [3] Group 3: Systemic Effects and Industry Chain Collaboration - The plan highlights the importance of systemic effects and collaboration within the industry chain, where the interconnected nature of these industries can create a ripple effect, enhancing technological progress and cost reduction across related sectors [4] - The comprehensive implementation of the stabilization growth plan is expected to usher in a new strategic development opportunity for the ten key industries, contributing to both current economic stability and long-term industrial development [4]

Core Viewpoint - The implementation of the "Ten Key Industries Stabilization Growth Plan" aims to provide a clear roadmap for the industrial economy's stability and transformation, focusing on ten key sectors that account for approximately 70% of the industrial economy [1][3]. Group 1: Policy Framework - The plan emphasizes a dual approach of supply and demand, establishing a systematic policy framework to address structural challenges through the elimination of outdated capacity and optimization of industrial structure [3][4]. - Specific measures are tailored to different industries, such as promoting upgrades in the electronic information manufacturing sector and focusing on new energy and smart grid equipment in the power equipment sector [3][4]. Group 2: Technological Innovation and Quality Improvement - The plan prioritizes technological innovation and quality enhancement, outlining differentiated innovation paths for various industries, such as advancing smart manufacturing in machinery and developing green products in light industry [4][5]. - A complete industrial ecosystem is being constructed across the ten industries, facilitating the incubation and large-scale application of new technologies and models, which will enhance overall competitiveness [4][5]. Group 3: Systemic Effects and Industry Chain Collaboration - The plan highlights the importance of systemic effects and collaboration within the industry chain, where the long chains and high interconnectivity of these industries can create a ripple effect across related sectors [5][6]. - The healthy development of the electronic information manufacturing sector can drive technological advancements and cost reductions in related industries like photovoltaics and lithium batteries [5][6]. Group 4: Long-term Development and High-Quality Growth - The comprehensive implementation of the stabilization growth plan is expected to usher in a new strategic development opportunity for the ten key industries, impacting both current economic stability and the long-term development of China's industrial system [6]. - By balancing stabilization and structural adjustment, the plan aims to promote the coordinated development of traditional industry upgrades and emerging industry cultivation, moving towards high-quality development [6].

Market Analysis - The A-share market experienced a significant decline, with the Shanghai Composite Index closing at 3839.76 points, down 1.95%, and the Shenzhen Component Index falling 3.04% to 12688.94 points [3] - The overall market saw 4781 stocks decline, marking the highest number of declining stocks in nearly a month, with a total trading volume of 1.95 trillion [3][4] - The current market sentiment is characterized by heightened risk aversion, attributed to escalating uncertainties in US-China trade relations, despite the absence of significant negative news [6] Sector Performance - All major sectors declined, but defensive sectors related to dividends, such as banking and agriculture, experienced smaller declines, with the Agricultural Bank of China rising 1.74% to a record high [6] - High-performing sectors earlier in the year, such as power equipment, electronics, and automotive, saw the largest declines, with drops of 4.99%, 4.10%, and 3.74% respectively [6] Policy and Earnings Outlook - The upcoming fourth quarter is expected to bring a series of policy announcements, including the Fourth Plenary Session and the Central Economic Work Conference, which will clarify policy directions for the following year [6] - Investment opportunities may arise from themes such as "de-involution" in new energy and semiconductors, unified markets in consumption and cycles, and marine economy [6] Bond Market - The bond market showed a continued upward trend, with all government bond futures contracts rising, particularly the 30-year contract which closed at 115.87, up 0.74% [12] - The central bank's operations indicate a relatively ample liquidity environment, with a net withdrawal of 244.2 billion from the market, yet overall funding remains sufficient [12] Commodity Market - Precious metals continued to show strength, with gold prices reaching a new high, peaking at 1001 CNY per gram, driven by risk aversion and policy expectations [12][10] - The energy sector faced downward pressure due to rising oil inventories and production levels, with the US EIA reporting an increase of 3.524 million barrels in crude oil inventories [11] Trading Hotspots - Key investment themes include precious metals driven by central bank purchases and anticipated Fed rate cuts, artificial intelligence due to increased capital expenditures by tech giants, and domestic chip production driven by technological breakthroughs [13] - The consumer sector is expected to benefit from RMB appreciation and market style shifts, while brokerage firms may see increased activity due to active trading and potential changes in trading regulations [13]

Quantitative Models and Construction Methods Model 1: 250-Day New High Distance Model - **Model Name**: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of the latest closing price from the highest closing price in the past 250 trading days to identify stocks that are reaching new highs, which can be indicative of market trends and hotspots[11] - **Model Construction Process**: - Calculate the 250-day new high distance using the formula: $$ \text{250-Day New High Distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $$ where $\text{Close}_{t}$ is the latest closing price and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11] - If the latest closing price is a new high, the distance is 0; otherwise, it is a positive value indicating the percentage drop from the new high[11] - **Model Evaluation**: This model is effective in identifying stocks that are leading the market and can be used to track market trends and hotspots[11] Model 2: Stable New High Stock Tracking Model - **Model Name**: Stable New High Stock Tracking Model - **Model Construction Idea**: This model selects stocks that have recently reached new highs and exhibit stable price paths, which are less likely to be influenced by extreme short-term movements[24] - **Model Construction Process**: - Select stocks that have reached a 250-day new high in the past 20 trading days[19] - Filter stocks based on analyst attention, relative strength, price path stability, and new high continuity[26] - Specific criteria include: - Analyst attention: At least 5 buy or hold ratings in the past 3 months - Relative strength: Top 20% in market performance over the past 250 days - Price path stability: Evaluate using the sum of absolute daily returns over the past 120 days - New high continuity: Average 250-day new high distance over the past 120 days - Trend continuation: Average 250-day new high distance over the past 5 days[26] - **Model Evaluation**: This model is useful for identifying stocks with strong and stable upward trends, which are less likely to be influenced by short-term volatility[24] Model Backtest Results 250-Day New High Distance Model - **Shanghai Composite Index**: 2.39%[12] - **Shenzhen Component Index**: 7.55%[12] - **CSI 300 Index**: 4.15%[12] - **CSI 500 Index**: 7.06%[12] - **CSI 1000 Index**: 6.05%[12] - **CSI 2000 Index**: 6.64%[12] - **ChiNext Index**: 10.01%[12] - **STAR 50 Index**: 11.43%[12] Stable New High Stock Tracking Model - **Number of Selected Stocks**: 27[27] - **Top Sectors**: Cyclical (14 stocks), Manufacturing (8 stocks)[27] - **Top Industries in Cyclical Sector**: Non-ferrous Metals[27] - **Top Industries in Manufacturing Sector**: Machinery[27] Quantitative Factors and Construction Methods Factor 1: 250-Day New High Distance Factor - **Factor Name**: 250-Day New High Distance Factor - **Factor Construction Idea**: This factor measures the distance of the latest closing price from the highest closing price in the past 250 trading days to identify stocks that are reaching new highs[11] - **Factor Construction Process**: - Calculate the 250-day new high distance using the formula: $$ \text{250-Day New High Distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $$ where $\text{Close}_{t}$ is the latest closing price and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11] - **Factor Evaluation**: This factor is effective in identifying stocks that are leading the market and can be used to track market trends and hotspots[11] Factor 2: Stable New High Factor - **Factor Name**: Stable New High Factor - **Factor Construction Idea**: This factor selects stocks that have recently reached new highs and exhibit stable price paths, which are less likely to be influenced by extreme short-term movements[24] - **Factor Construction Process**: - Select stocks that have reached a 250-day new high in the past 20 trading days[19] - Filter stocks based on analyst attention, relative strength, price path stability, and new high continuity[26] - Specific criteria include: - Analyst attention: At least 5 buy or hold ratings in the past 3 months - Relative strength: Top 20% in market performance over the past 250 days - Price path stability: Evaluate using the sum of absolute daily returns over the past 120 days - New high continuity: Average 250-day new high distance over the past 120 days - Trend continuation: Average 250-day new high distance over the past 5 days[26] - **Factor Evaluation**: This factor is useful for identifying stocks with strong and stable upward trends, which are less likely to be influenced by short-term volatility[24] Factor Backtest Results 250-Day New High Distance Factor - **Shanghai Composite Index**: 2.39%[12] - **Shenzhen Component Index**: 7.55%[12] - **CSI 300 Index**: 4.15%[12] - **CSI 500 Index**: 7.06%[12] - **CSI 1000 Index**: 6.05%[12] - **CSI 2000 Index**: 6.64%[12] - **ChiNext Index**: 10.01%[12] - **STAR 50 Index**: 11.43%[12] Stable New High Factor - **Number of Selected Stocks**: 27[27] - **Top Sectors**: Cyclical (14 stocks), Manufacturing (8 stocks)[27] - **Top Industries in Cyclical Sector**: Non-ferrous Metals[27] - **Top Industries in Manufacturing Sector**: Machinery[27]

- The report tracks the market trend by monitoring stocks that have reached new highs, using the 250-day high distance as a key metric[11] - The 250-day high distance is calculated as follows: $ 250 \text{ day high distance} = 1 - \frac{Closet}{ts\_max(Close, 250)} $ where Closet is the latest closing price and ts_max(Close, 250) is the maximum closing price over the past 250 trading days[11] - As of October 17, 2025, the 250-day high distances for major indices are: Shanghai Composite Index 2.39%, Shenzhen Component Index 7.55%, CSI 300 4.15%, CSI 500 7.06%, CSI 1000 6.05%, CSI 2000 6.64%, ChiNext Index 10.01%, and STAR 50 Index 11.43%[12][13][15] Quantitative Models and Construction Methods 1. **Model Name: 250-day High Distance** - **Model Construction Idea:** The model tracks the distance of the latest closing price from the highest closing price in the past 250 trading days to identify stocks that are reaching new highs[11] - **Model Construction Process:** - Calculate the 250-day high distance using the formula: $ 250 \text{ day high distance} = 1 - \frac{Closet}{ts\_max(Close, 250)} $ where Closet is the latest closing price and ts_max(Close, 250) is the maximum closing price over the past 250 trading days[11] - **Model Evaluation:** The model is effective in identifying stocks that are reaching new highs, which can be considered market leaders and potential investment opportunities[11] Model Backtesting Results 1. **250-day High Distance Model** - Shanghai Composite Index: 2.39%[12] - Shenzhen Component Index: 7.55%[12] - CSI 300: 4.15%[12] - CSI 500: 7.06%[12] - CSI 1000: 6.05%[12] - CSI 2000: 6.64%[12] - ChiNext Index: 10.01%[12] - STAR 50 Index: 11.43%[12] Quantitative Factors and Construction Methods 1. **Factor Name: Smooth Momentum** - **Factor Construction Idea:** The factor focuses on stocks with smooth price paths and consistent momentum, as these stocks tend to have higher returns compared to those with jumpy price paths[24] - **Factor Construction Process:** - **Analyst Attention:** At least 5 buy or overweight ratings in the past 3 months[26] - **Relative Strength:** Top 20% in terms of 250-day price change[26] - **Price Stability:** Combine the following two indicators and select the top 50% of stocks: - Price path smoothness: Ratio of price displacement to price path length[26] - Consistency of new highs: Average 250-day high distance over the past 120 days[26] - **Trend Continuation:** Average 250-day high distance over the past 5 days, select the top 50 stocks[26] - **Factor Evaluation:** The factor effectively identifies stocks with strong and stable momentum, which are likely to continue performing well[24] Factor Backtesting Results 1. **Smooth Momentum Factor** - Selected stocks include: Xiangnong Chip, Oriental Tower, Neway Valve, etc.[27] - Sector distribution: Cyclical (14 stocks), Manufacturing (8 stocks)[27] - Industry leaders: Non-ferrous metals in the cyclical sector, machinery in the manufacturing sector[27]

Group 1: Market Trends and Highs - The report tracks stocks, industries, and sectors reaching new highs, serving as market indicators and highlighting the effectiveness of momentum and trend-following strategies [1][4] - As of October 17, 2025, the distance to the 250-day new highs for major indices are: Shanghai Composite Index at 2.39%, Shenzhen Component Index at 7.55%, CSI 300 at 4.15%, CSI 500 at 7.06%, CSI 1000 at 6.05%, CSI 2000 at 6.64%, ChiNext Index at 10.01%, and STAR Market 50 Index at 11.43% [5][26] - Among the CITIC primary industry indices, sectors such as Power and Utilities, Nonferrous Metals, Steel, Coal, and Electric Equipment & New Energy are closest to their 250-day new highs, while Food & Beverage, Consumer Services, Comprehensive Finance, Banking, and Oil & Petrochemicals are further away [9][26] Group 2: High-Performing Stocks - A total of 1,233 stocks reached 250-day new highs in the past 20 trading days, with the highest numbers in the Electronics, Machinery, and Basic Chemicals sectors [2][14] - The highest proportion of new high stocks is found in Nonferrous Metals, Electronics, and Steel industries, with respective proportions of 59.68%, 41.20%, and 39.62% [14][26] - The Technology and Manufacturing sectors had the most stocks reaching new highs this week, with respective counts of 406 and 364 [16][26] Group 3: Stable High-Performing Stocks - The report identifies 27 stable high-performing stocks, including companies like Shannon Chip Creation, Oriental Tower, and Nuway Shares, based on analyst attention, relative strength, price path stability, and continuity of new highs [3][21] - The highest number of stable high stocks comes from the Cyclical and Manufacturing sectors, with 14 and 8 stocks respectively, particularly in Nonferrous Metals and Machinery [21][26]

Group 1 - The core viewpoint of the article highlights the inflow and outflow trends of foreign capital in Hong Kong and A-shares during Q3, with a notable focus on technology assets [1][2] - In Hong Kong, foreign capital experienced a net outflow of approximately 841 million HKD in Q3, which is an improvement compared to Q2, with stable long-term foreign capital being the main contributor to the outflow [1] - The sectors attracting foreign capital in Hong Kong included software services (172 million HKD from stable foreign capital and 47 million HKD from flexible foreign capital) and hardware equipment (36 million HKD and 105 million HKD) [1] - Conversely, sectors that saw significant outflows included consumer discretionary retail (-472 million HKD), non-bank financials (-179 million HKD), and banks (-17 million HKD) [1] Group 2 - In A-shares, the Northbound capital saw an overall outflow of 158.2 billion CNY in Q3, with a net outflow of approximately 20.3 billion CNY when excluding Chinese custodial funds [2] - Long-term stable foreign capital accounted for a significant outflow of about 120.2 billion CNY, while short-term flexible foreign capital recorded an inflow of approximately 99.9 billion CNY [2] - Similar to Hong Kong, foreign capital in A-shares also increased its allocation to technology assets, particularly in new energy (up 3.7 percentage points for stable foreign capital and 1.1 percentage points for flexible foreign capital), electronics (up 2.3 percentage points and 1.1 percentage points), and machinery (up 0.8 percentage points and 0.9 percentage points) [2] - There was a reduction in allocation to banks (down 2.3 percentage points and 2.4 percentage points) and food and beverage sectors (down 1.5 percentage points and 1.2 percentage points) [2]

Core Viewpoint - The infrastructure ETF (159619) has seen a significant inflow of 25 million units, indicating strong investor interest in infrastructure assets amid international uncertainties such as the US-China tariff disputes [1]. Group 1: Market Dynamics - The National Development and Reform Commission announced a new policy financial tool worth 500 billion yuan, aimed at injecting capital into projects and enhancing investment stability through a combination of capital support and bank loans [1]. - The focus on domestic demand and infrastructure, particularly in high-demand sectors like water conservancy, is expected to benefit from increased government support in response to external market volatility [1]. Group 2: ETF and Index Characteristics - The infrastructure ETF (159619) tracks the CSI Infrastructure Index (930608), which selects listed companies involved in the construction and machinery sectors to reflect the overall performance of China's infrastructure construction industry [1]. - The CSI Infrastructure Index has a high industry concentration, prominently featuring leading enterprises in the sector, characterized by a strong state-owned enterprise presence and relatively low valuation levels, along with good liquidity [1].