Group 1 - The report tracks stocks, industries, and sectors that are reaching new highs, indicating market trends and hotspots [1][4][25] - As of November 7, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index at 0.47%, Shenzhen Component Index at 2.34%, CSI 300 at 1.45%, CSI 500 at 2.93%, CSI 1000 at 1.39%, CSI 2000 at 1.36%, ChiNext Index at 3.49%, and STAR 50 Index at 8.02% [6][25] - Among the CITIC first-level industry indices, the oil and petrochemical, electric equipment and new energy, comprehensive, electric and public utilities, and steel industries are closest to their 250-day new highs, while food and beverage, comprehensive finance, pharmaceuticals, real estate, and retail industries are further away [9][25] Group 2 - A total of 1,018 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the machinery, basic chemicals, and electronics sectors [2][14][25] - The highest proportion of new high stocks is found in the coal, non-ferrous metals, and steel industries, with respective proportions of 52.78%, 52.42%, and 39.62% [14][25] - The cyclical and manufacturing sectors had the most new high stocks this week, with respective counts of 319 and 301 [16][25] Group 3 - The report identifies 50 stocks that have shown stable new highs based on analyst attention, relative strength, price path stability, and continuity of new highs, including companies like Shannon Chip and Zhongji Xuchuang [3][20][27] - The cyclical and technology sectors had the most stocks reaching stable new highs, with 21 and 16 stocks respectively [20][27] - In the cyclical sector, the non-ferrous metals industry had the most new highs, while in the technology sector, the electric equipment and new energy industry led [20][27]

证券研究报告 | 2025年10月24日 **Acknowledgement** **The authors thank the anonymous referee for the help and comments on the manuscript.** 乘势而起：市场新高趋势追踪：截至 2025 年 10 月 24 日，上证指数、深 证成指、沪深 300、中证 500、中证 1000、中证 2000、创业板指、科创 50 指数 250 日新高距离分别为 0.00%、3.18%、1.04%、3.85%、2.99%、 3.14%、2.77%、4.99%。中信一级行业指数中通信、石油石化、电力及 公用事业、建筑、电子行业指数距离 250 日新高较近，食品饮料、综合 金融、银行、消费者服务、医药行业指数距离 250 日新高较远。概念指 数中，万得微盘股日频等权、林木、锂矿、电力公用事业、石油天然气、 煤炭、万得全 A 等概念指数距离 250 日新高较近。 见微知著：利用创新高个股进行市场监测：截至 2025 年 10 月 24 日，共 1123 只股票在过去 20 个交易日间创出 250 日新高。其中创新高个股 ...

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]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to identify market trends and hotspots. It is based on the premise that stocks nearing their 52-week high tend to outperform, as highlighted in prior research by George (2004) and others[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0; otherwise, the distance is positive, indicating the percentage drop from the high[11]. - **Model Evaluation**: This model effectively captures momentum and trend-following strategies, aligning with established theories in quantitative finance[11][18]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model identifies stocks with stable momentum characteristics, emphasizing smooth price paths and consistent new highs. It builds on research showing that smoother momentum stocks outperform those with jumpy price paths[25]. - **Model Construction Process**: Stocks are screened based on the following criteria: - **Analyst Attention**: At least 5 "Buy" or "Overweight" ratings in the past 3 months - **Relative Strength**: 250-day return in the top 20% of the market - **Price Stability**: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price path length over the past 120 days - **New High Continuity**: Average 250-day new high distance over the past 120 days - **Trend Continuity**: Average 250-day new high distance over the past 5 days The top 50 stocks based on these metrics are selected[25][27]. - **Model Evaluation**: This model emphasizes the temporal characteristics of momentum, providing a refined approach to identifying high-momentum stocks with stable trajectories[25][27]. --- Backtesting Results of Models 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite: 0.33% - Shenzhen Component: 0.43% - CSI 300: 0.57% - CSI 500: 0.00% - CSI 1000: 1.04% - CSI 2000: 1.56% - ChiNext Index: 1.09% - STAR 50 Index: 1.95%[12][13]. 2. Stable New High Stock Screening Model - **Selected Stocks**: 50 stocks were identified, including New Yisheng, Shenghong Technology, and Industrial Fulian. - **Sector Distribution**: - Cyclical and technology sectors had the highest representation, with 17 stocks each. - Within the cyclical sector, the chemical industry dominated, while the electronics industry led the technology sector[28][32]. --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's price to its 250-day high, capturing momentum and trend-following signals[11]. - **Factor Construction Process**: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: This factor is simple yet effective in identifying stocks with strong momentum characteristics[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the smoothness of a stock's price trajectory, emphasizing stable momentum over jumpy movements[25]. - **Factor Construction Process**: $ Price\ Path\ Smoothness = \frac{Price\ Displacement}{Total\ Price\ Path\ Length} $ Where: - $ Price\ Displacement $ is the absolute change in price over the period - $ Total\ Price\ Path\ Length $ is the sum of absolute daily price changes over the same period[25]. - **Factor Evaluation**: This factor highlights stocks with consistent upward trends, reducing noise from volatile price movements[25]. 3. Factor Name: New High Continuity - **Factor Construction Idea**: Measures the consistency of a stock's proximity to its 250-day high over time[27]. - **Factor Construction Process**: $ New\ High\ Continuity = Average\ (250\ Day\ New\ High\ Distance\ Over\ Past\ 120\ Days) $ This factor is calculated as the mean of the 250-day new high distance over a rolling 120-day window[27]. - **Factor Evaluation**: This factor captures the persistence of momentum, favoring stocks that consistently remain near their highs[27]. --- Backtesting Results of Factors 1. 250-Day New High Distance - **Indices' 250-Day New High Distance**: - Shanghai Composite: 0.33% - Shenzhen Component: 0.43% - CSI 300: 0.57% - CSI 500: 0.00% - CSI 1000: 1.04% - CSI 2000: 1.56% - ChiNext Index: 1.09% - STAR 50 Index: 1.95%[12][13]. 2. Price Path Smoothness - **Selected Stocks**: 50 stocks were identified, including New Yisheng, Shenghong Technology, and Industrial Fulian. - **Sector Distribution**: - Cyclical and technology sectors had the highest representation, with 17 stocks each. - Within the cyclical sector, the chemical industry dominated, while the electronics industry led the technology sector[28][32]. 3. New High Continuity - **Selected Stocks**: Same as the Price Path Smoothness factor, as it is part of the composite screening model[28][32].

- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot sectors. The model calculates the distance between the latest closing price and the highest closing price in the past 250 trading days using the formula: $ 250\text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max}(\text{Close}, 250)} $ where $\text{Close}_{t}$ represents the latest closing price, and $\text{ts\_max}(\text{Close}, 250)$ is the maximum closing price over the past 250 trading days. If the latest closing price reaches a new high, the distance is 0; otherwise, it is a positive value indicating the degree of pullback[11][12][13] - The report evaluates the "250-day new high distance" model as an effective tool for momentum and trend-following strategies, supported by academic studies and practical applications in stock selection frameworks like CANSLIM and "Stock Market Wizard"[11][18] - The report applies the "250-day new high distance" model to major indices, showing their respective distances from the 250-day high as of September 5, 2025: - Shanghai Composite Index: 1.83% - Shenzhen Component Index: 1.86% - CSI 300: 1.40% - CSI 500: 2.76% - CSI 1000: 3.41% - CSI 2000: 3.64% - ChiNext Index: 0.00% - STAR 50 Index: 7.04%[12][13][30] - The report identifies industries and concept indices close to their 250-day highs, such as Electric Power Equipment & New Energy, Nonferrous Metals, Basic Chemicals, and Mechanical sectors, as well as thematic indices like Wind Photovoltaics, Sodium-ion Batteries, and New Energy Vehicles[13][15][30] - The report tracks individual stocks that have reached 250-day highs in the past 20 trading days, identifying 1,715 stocks. The industries with the highest number of such stocks are Mechanical (242), Electronics (221), and Basic Chemicals (190). The sectors with the highest proportion of new-high stocks are Nonferrous Metals (68.55%), Electronics (45.85%), and Comprehensive (43.48%)[19][20][31] - The report introduces a screening method for "stable new-high stocks" based on factors such as analyst attention, relative price strength, price path smoothness, and trend sustainability. Key metrics include: - Analyst attention: At least 5 buy or overweight ratings in the past 3 months - Relative price strength: Top 20% in 250-day price change - Price path smoothness: Stock displacement ratio - Trend sustainability: Average 250-day new high distance over the past 120 days and past 5 days[24][26][27] - Using the above criteria, the report identifies 50 stable new-high stocks, with the highest representation in Technology (19 stocks) and Cyclical sectors (13 stocks). Within Technology, Electronics dominate, while Basic Chemicals lead in Cyclical sectors[27][31]

Market Trends and Highs Tracking - The report aims to track stocks, industries, and sectors that are reaching new highs, serving as market indicators. Increasing research supports the effectiveness of momentum and trend-following strategies [1][4][26] - As of September 5, 2025, the distance to the 250-day new highs for major indices are as follows: Shanghai Composite Index at 1.83%, Shenzhen Component Index at 1.86%, CSI 300 at 1.40%, CSI 500 at 2.76%, CSI 1000 at 3.41%, CSI 2000 at 3.64%, ChiNext at 0.00%, and STAR Market at 7.04% [6][24] High-Performing Sectors and Stocks - The sectors closest to their 250-day new highs include Power Equipment & New Energy, Nonferrous Metals, Basic Chemicals, Machinery, and Light Industry Manufacturing. In contrast, sectors like Coal, Food & Beverage, Transportation, Real Estate, and Banking are further from their new highs [9][24] - As of September 5, 2025, a total of 1,715 stocks reached 250-day new highs in the past 20 trading days, with the highest numbers in the Machinery, Electronics, and Basic Chemicals sectors [14][25] Concept Indices and Their Performance - Concept indices such as Wind Power, Sodium-ion Batteries, New Energy Vehicles, and Photovoltaics are also close to their 250-day new highs, indicating strong market interest in these areas [11][24] Stable High-Performing Stocks - The report identifies 50 stocks that have shown stable performance and continuous new highs, including Shenghong Technology, Shengyi Electronics, and Industrial Fulian. The Technology and Cyclical sectors have the most stocks in this category, with Electronics leading in Technology and Basic Chemicals in Cyclical [21][26]

- Model Name: 250-Day New 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 market trends and hotspots[11] - Model Construction Process: - Formula: $ 250 \text{ Day New High Distance} = 1 - \frac{Closet}{ts\_max(Close, 250)} $ - Explanation: Closet represents the latest closing price, and ts_max(Close, 250) represents the highest closing price in the past 250 trading days. If the latest closing price is a new high, the distance is 0; otherwise, it is a positive value indicating the fallback[11] - Model Evaluation: The model effectively captures market trends and hotspots by identifying stocks that are continuously reaching new highs[11] - Factor Name: Stable New High Stocks; Factor Construction Idea: The factor selects stocks that have shown stable price paths and continuous new highs, considering analyst attention, relative strength, and trend continuity[27] - Factor Construction Process: - 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 Stability: Evaluated using the sum of absolute daily returns over the past 120 days and the smoothness of the price path - Continuous New Highs: Average 250-day new high distance over the past 120 days - Trend Continuity: Average 250-day new high distance over the past 5 days[27][29] - Factor Evaluation: The factor identifies stocks with strong momentum and stable price paths, which are likely to continue performing well[27] Model Backtest Results - 250-Day New High Distance Model, Shanghai Composite Index: 0.66%, Shenzhen Component Index: 0.00%, CSI 300: 0.00%, CSI 500: 0.00%, CSI 1000: 0.52%, CSI 2000: 1.95%, ChiNext Index: 0.00%, STAR 50 Index: 1.71%[12][13][16] Factor Backtest Results - Stable New High Stocks Factor, Number of Stocks: 50, including New Yisheng, Shijia Photon, Shenghong Technology, etc. Most stocks are from the technology and manufacturing sectors, with 21 and 14 stocks respectively[30][34]

Quantitative Models and Construction Methods 1. Model Name: Hong Kong Stock Selection Portfolio Strategy - **Model Construction Idea**: The strategy is based on a dual-layer selection process that integrates fundamental and technical analysis. It aims to identify stocks with both fundamental support and technical resonance from an analyst-recommended stock pool[13][14] - **Model Construction Process**: 1. **Analyst Recommendation Pool**: Constructed using three types of analyst recommendation events: upward earnings forecast revisions, initial analyst coverage, and research reports with unexpected positive titles[14] 2. **Dual-Layer Screening**: - **Fundamental Screening**: Select stocks with strong fundamental support - **Technical Screening**: Identify stocks with technical resonance 3. **Portfolio Backtesting**: The backtesting period spans from January 1, 2010, to June 30, 2025. The portfolio assumes a fully invested position and accounts for transaction costs[14] - **Model Evaluation**: The strategy demonstrates strong performance, with an annualized return of 19.11% and an excess return of 18.48% relative to the Hang Seng Index over the backtesting period[14] 2. Model Name: Stable New High Stock Screening - **Model Construction Idea**: This model leverages the momentum effect, which is particularly significant in the Hong Kong stock market. It identifies stocks that have recently reached a 250-day high and exhibit stable price paths[19][21] - **Model Construction Process**: 1. **250-Day High Distance Calculation**: $ 250\text{-Day High Distance} = 1 - \frac{\text{Close}_{\text{latest}}}{\text{ts\_max}(\text{Close}, 250)} $ - $\text{Close}_{\text{latest}}$: Latest closing price - $\text{ts\_max}(\text{Close}, 250)$: Maximum closing price over the past 250 trading days[21] 2. **Screening Criteria**: - **Analyst Attention**: At least five "Buy" or "Overweight" ratings in the past six months - **Relative Strength**: Top 20% in 250-day price change within the sample pool - **Price Stability**: Top 50% based on a composite score of price path smoothness and new high persistence[22] - **Trend Continuation**: Top 50 stocks based on the average 250-day high distance over the past five days[22] - **Model Evaluation**: The model effectively identifies stocks with strong momentum and stable price paths, making it a useful tool for trend-following strategies[19][21] --- Model Backtesting Results 1. Hong Kong Stock Selection Portfolio Strategy - **Annualized Return**: 19.11% - **Excess Return (Relative to Hang Seng Index)**: 18.48% - **Maximum Drawdown**: 23.73% - **Information Ratio (IR)**: 1.22 - **Tracking Error**: 14.55% - **Return-to-Drawdown Ratio**: 0.78[18] 2. Stable New High Stock Screening - **Sector Distribution**: - **Healthcare**: 16 stocks - **Finance**: 9 stocks - **Technology**: 8 stocks - **Consumer**: 8 stocks - **Cyclicals**: 3 stocks[21][22]

Group 1 - The report tracks stocks, industries, and sectors that are reaching new highs, serving as market indicators and highlighting the effectiveness of momentum and trend-following strategies [1][4] - As of August 1, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index at 1.54%, Shenzhen Component Index at 4.38%, CSI 300 at 4.73%, CSI 500 at 2.25%, CSI 1000 at 1.53%, CSI 2000 at 1.08%, ChiNext Index at 8.93%, and STAR Market 50 Index at 7.99% [6][25] - Among the CITIC first-level industry indices, Media, Communication, Pharmaceuticals, Defense, and Steel are closest to their 250-day new highs, while Food & Beverage, Coal, Real Estate, Home Appliances, and Transportation are further away [9][25] Group 2 - A total of 1,239 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the Pharmaceuticals, Machinery, and Basic Chemicals sectors [2][14] - The sectors with the highest proportion of new high stocks are Banking, Steel, and Non-ferrous Metals, with respective proportions of 64.29%, 56.60%, and 41.94% [14][16] - The manufacturing and cyclical sectors had the most new high stocks this week, with 381 and 297 stocks respectively, while the proportion of new high stocks in the CSI 2000, CSI 1000, CSI 500, CSI 300, ChiNext, and STAR Market indices are 21.85%, 20.30%, 21.80%, 19.33%, 16.00%, and 14.00% respectively [16][25] Group 3 - The report identifies 50 stocks that have shown stable new highs, including Shenghong Technology, Borui Pharmaceuticals, and Feilihua, with the most new high stocks in the Manufacturing and Technology sectors, totaling 15 and 14 respectively [3][21][26] - The Machinery industry had the highest number of new highs within the Manufacturing sector, while the Electronics industry led in the Technology sector [21][26]