Market Trends and Highs Tracking - The report aims to track stocks, industries, and sectors reaching new highs, serving as market indicators, with increasing evidence supporting the effectiveness of momentum and trend-following strategies [1][4] - As of March 20, 2026, the distance to the 250-day new highs for major indices are as follows: Shanghai Composite Index at 5.39%, Shenzhen Component Index at 4.40%, CSI 300 at 4.67%, CSI 500 at 10.38%, CSI 1000 at 9.08%, CSI 2000 at 9.84%, ChiNext Index at 1.07%, and STAR 50 Index at 15.27% [6][25] High-Performing Stocks Monitoring - A total of 1,204 stocks reached 250-day new highs in the past 20 trading days, with the highest number of new highs in the machinery, basic chemicals, and electronics sectors [12][25] - The sectors with the highest proportion of new high stocks are oil and petrochemicals at 66.67%, coal at 58.33%, and electric utilities at 48.26% [12][25] - The cyclical and technology sectors had the most new high stocks this week, with respective counts of 413 and 351 [14] Stable New High Stocks Tracking - The report identifies 10 stable new high stocks, including Yaxiang Integration, Baiwei Storage, and Yanzhou Coal, based on criteria such as analyst attention, relative strength, price path stability, and continuity of new highs [20][26] - The technology and manufacturing sectors had the most stocks selected, with 5 and 2 respectively, and the electronics industry leading within technology [20][26]

Group 1 - The article discusses the potential impact of the ongoing conflict between Russia and Ukraine on the stock market, questioning whether it could lead to a bear market similar to the one experienced after the outbreak of the war on February 24, 2022 [1] - From a momentum perspective, the previous market downturn was characterized by a long-term top divergence that broke below the 200-day volume-weighted moving average, whereas the current market does not exhibit such divergence, indicating that the overall trend remains intact [2]

- The report introduces a quantitative model based on the "250-day new high distance" to track market trends and identify investment hotspots. The model calculates the distance of the latest closing price from the highest closing price in the past 250 trading days using the formula: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ where $ Close_t $ represents the latest closing price, and $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days. A value of 0 indicates a new high, while positive values indicate the degree of pullback from the high[11][19][23] - The model evaluates the effectiveness of momentum and trend-following strategies, referencing prior research such as George (2004) and William O'Neil's CANSLIM system, which emphasize the importance of stocks reaching new highs as potential leaders in market uptrends[11][18][21] - A secondary screening process identifies "stable new high stocks" by incorporating factors such as analyst attention, relative stock strength, price path smoothness, and the sustainability of new highs. Specific criteria include: 1. At least five "buy" or "overweight" ratings in the past three months 2. 250-day price performance in the top 20% of the market 3. Price path smoothness measured by the ratio of price displacement to total price movement over 120 days 4. Consistency of new highs over the past 120 days 5. Trend continuation based on the average 250-day new high distance over the past five days[23][27][28] - Backtesting results show that as of February 27, 2026, 1,370 stocks reached 250-day new highs in the past 20 trading days. The sectors with the highest number of such stocks include machinery, basic chemicals, and electronics. The highest proportions of new high stocks are found in non-ferrous metals, petrochemicals, and steel industries[19][20][33] - The "stable new high stocks" screening process identified 37 stocks, with the technology and manufacturing sectors contributing the most, at 16 and 11 stocks, respectively. Within these sectors, electronics and machinery were the leading industries[28][33]

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 momentum and trend-following strategy, which has been proven effective in various studies[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250\text{-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. If the price falls from the high, the distance is a positive value, representing the degree of decline[11]. - **Model Evaluation**: The model effectively identifies stocks and indices with strong momentum and highlights market leaders, aligning with the principles of momentum investing[11][18]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on selecting stocks that exhibit stable price paths and consistent momentum, as smoother price trajectories tend to yield stronger momentum effects[24]. - **Model Construction Process**: Stocks are filtered from the pool of those that hit a 250-day high in the past 20 trading days. The selection criteria include: - Analyst attention: At least 5 buy or overweight ratings in the past 3 months - Relative strength: Top 20% in 250-day price performance - Price stability: Evaluated using the following metrics: - Absolute value of price changes over the past 120 days - Sum of absolute daily price changes over the past 120 days - Momentum continuity: - Average 250-day new high distance over the past 120 days - Average 250-day new high distance over the past 5 days The top 50 stocks based on these criteria are selected[24][26]. - **Model Evaluation**: The model emphasizes smooth price trajectories and consistent momentum, which are less likely to attract excessive attention, thereby enhancing the momentum effect[24]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance (as of February 13, 2026)**: - Shanghai Composite Index: 2.00% - Shenzhen Component Index: 2.35% - CSI 300: 2.72% - CSI 500: 3.51% - CSI 1000: 3.14% - CSI 2000: 2.54% - ChiNext Index: 3.32% - STAR 50 Index: 5.50%[12][13]. 2. Stable New High Stock Selection Model - **Selected Stocks**: 50 stocks were identified, including Zhongtung High-tech, Dike Co., and Xiechuang Data. - **Sector Distribution**: - Technology: 21 stocks (most from the electronics industry) - Manufacturing: 16 stocks (most from the machinery industry)[27][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 characteristics[11]. - **Factor Construction Process**: $ 250\text{-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**: The factor effectively identifies stocks with strong momentum and aligns with established momentum strategies[11][18]. 2. Factor Name: Price Stability - **Factor Construction Idea**: Evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Absolute value of price changes over the past 120 days - Sum of absolute daily price changes over the past 120 days[24]. - **Factor Evaluation**: The factor highlights stocks with stable price movements, which are less likely to attract excessive attention, enhancing the momentum effect[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance (as of February 13, 2026)**: - Shanghai Composite Index: 2.00% - Shenzhen Component Index: 2.35% - CSI 300: 2.72% - CSI 500: 3.51% - CSI 1000: 3.14% - CSI 2000: 2.54% - ChiNext Index: 3.32% - STAR 50 Index: 5.50%[12][13]. 2. Price Stability Factor - **Selected Stocks**: 50 stocks were identified, including Zhongtung High-tech, Dike Co., and Xiechuang Data. - **Sector Distribution**: - Technology: 21 stocks (most from the electronics industry) - Manufacturing: 16 stocks (most from the machinery industry)[27][32].

- The report introduces a quantitative model based on tracking the 250-day high distance of stocks and indices, which serves as a momentum and trend-following strategy. The calculation formula is: $ 250\ Day\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ where $ Close_t $ represents the latest closing price, and $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days. If the latest closing price hits a new high, the distance is 0; otherwise, it is a positive value indicating the degree of pullback. [11][12][13] - The model evaluates the relative proximity of major indices to their 250-day highs. As of February 13, 2026, the 250-day high distances for indices such as the Shanghai Composite Index, Shenzhen Component Index, CSI 300, CSI 500, CSI 1000, CSI 2000, ChiNext Index, and STAR 50 Index are 2.00%, 2.35%, 2.72%, 3.51%, 3.14%, 2.54%, 3.32%, and 5.50%, respectively. [12][13][31] - The report also tracks the proximity of industry indices and concept indices to their 250-day highs. For example, industries like building materials, machinery, light manufacturing, petrochemicals, and media are closer to their 250-day highs, while industries such as food & beverage, banking, comprehensive finance, pharmaceuticals, and agriculture are farther away. Concept indices such as paper, internet, cloud computing, energy storage, and engineering machinery are also closer to their 250-day highs. [13][15][31] - A separate quantitative factor is introduced to monitor stocks that have hit new highs in the past 20 trading days. A total of 1,390 stocks achieved 250-day highs during this period, with the highest numbers in industries like machinery, electronics, and basic chemicals. The highest proportions of new-high stocks are found in sectors such as non-ferrous metals, petrochemicals, and steel. [19][20][32] - The report further refines the analysis by introducing a "Stable New High Stock" factor, which selects stocks based on criteria such as analyst attention, relative price strength, price path smoothness, and sustained new highs. Specific metrics include: - Analyst attention: At least 5 buy or overweight ratings in the past 3 months - Relative price strength: Top 20% in market-wide 250-day returns - Price path smoothness: Evaluated using metrics like price displacement ratio - Sustained new highs: Average 250-day high distance over the past 120 days - Trend continuation: Average 250-day high distance over the past 5 days Fifty stocks were selected based on these criteria, including names like Zhong Tung High-tech, Dike Co., and Xiechuang Data. [24][26][27] - The report highlights the distribution of stable new-high stocks across sectors, with the technology and manufacturing sectors having the highest numbers (21 and 16 stocks, respectively). Within technology, electronics dominate, while machinery leads in manufacturing. [27][28][32]

Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots [1][4] - As of February 13, 2026, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 2.00%, Shenzhen Component Index 2.35%, CSI 300 2.72%, CSI 500 3.51%, CSI 1000 3.14%, CSI 2000 2.54%, ChiNext Index 3.32%, and STAR 50 Index 5.50% [5][24] - Among the CITIC first-level industry indices, construction materials, machinery, light industry manufacturing, petroleum and petrochemicals, and media industries are closest to their 250-day new highs, while food and beverage, banking, comprehensive finance, pharmaceuticals, and agriculture indices are further away [8][24] Group 2 - As of February 13, 2026, a total of 1,390 stocks reached a 250-day new high in the past 20 trading days, with the most new highs in the machinery, electronics, and basic chemicals sectors [2][12] - The highest proportion of new high stocks is found in non-ferrous metals, petroleum and petrochemicals, and steel industries, with respective proportions of 66.67%, 62.75%, and 39.62% [12][15] - The manufacturing and technology sectors have the most stocks reaching new highs this week, with 433 and 396 stocks respectively [15] Group 3 - The report identifies 50 stocks with stable new highs, including Zhongtung High-tech, Dike Co., and Xiechuang Data, primarily from the technology and manufacturing sectors [3][20] - The technology sector has the most new high stocks, particularly in the electronics industry, while the manufacturing sector has the most in the machinery industry [20][25]

========= - Model Name: 250-Day New High Distance; Model Construction Idea: The model aims to track the market trend by monitoring stocks that hit new highs, based on the effectiveness of momentum and trend-following strategies[11]; Model Construction Process: The 250-day new high distance is calculated as follows: $ 250 \text{ Day New 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 market trends and hotspots[11] - Factor Name: Stable New High Stocks; Factor Construction Idea: The factor focuses on stocks that have hit new highs and exhibit stable price paths, leveraging the "boiling frog" effect and smooth price paths for stronger momentum effects[25]; Factor Construction Process: Stocks are selected based on analyst attention, relative strength, price path stability, and new high continuity. Specific conditions 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 stability: Evaluated using the sum of absolute daily returns over the past 120 days and the ratio of price path length to displacement - 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[27] Model Backtest Results: - 250-Day New High Distance Model, 250-Day New High Distance for major indices as of February 6, 2026: Shanghai Composite Index 2.39%, Shenzhen Component Index 3.69%, CSI 300 Index 3.07%, CSI 500 Index 5.29%, CSI 1000 Index 4.95%, CSI 2000 Index 3.67%, ChiNext Index 4.48%, STAR 50 Index 8.58%[12][13][15] Factor Backtest Results: - Stable New High Stocks Factor, Number of stocks hitting new highs in the past 20 trading days: 1641; Highest number of new high stocks by industry: Machinery 238, Electronics 196, Basic Chemicals 176; Highest proportion of new high stocks by industry: Nonferrous Metals 69.92%, Defense & Military 63.11%, Petroleum & Petrochemicals 60.78%[19][20] - Stable New High Stocks Factor, Number of stable new high stocks selected this week: 50; Highest number of stable new high stocks by sector: Manufacturing 18, Technology 16[28] =========

========= - The report tracks the market trend by monitoring stocks, industries, and sectors that have reached new highs, emphasizing the effectiveness of momentum and trend-following strategies[11] - The 250-day new high distance is calculated as $ 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 February 6, 2026, the 250-day new high distances for major indices such as the Shanghai Composite Index, Shenzhen Component Index, CSI 300, CSI 500, CSI 1000, CSI 2000, ChiNext Index, and STAR 50 Index are 2.39%, 3.69%, 3.07%, 5.29%, 4.95%, 3.67%, 4.48%, and 8.58% respectively[12][13][15] - The report identifies 1641 stocks that reached a 250-day new high in the past 20 trading days, with the highest numbers in the machinery, electronics, and basic chemicals industries[19] - The highest proportions of new high stocks are in the non-ferrous metals, defense and military, and petroleum and petrochemical industries[19] - By sector, the manufacturing and technology sectors have the most new high stocks this week, with 523 and 513 stocks respectively[20] - The report also tracks "stable new high" stocks based on analyst attention, relative stock strength, trend continuity, price path stability, and new high sustainability[25][27] - The screening criteria include the absolute value of the past 120-day price change, the sum of the absolute values of the past 120-day daily price changes, and the number of buy or overweight ratings in the past three months[27] - This week, 50 stable new high stocks were selected, including Mingyang Smart Energy, Universal Scientific Industrial, and Hengtong Optic-Electric, with the most in the manufacturing and technology sectors[28][31] - The 250-day new high distances for major indices are: Shanghai Composite Index 2.39%, Shenzhen Component Index 3.69%, CSI 300 3.07%, CSI 500 5.29%, CSI 1000 4.95%, CSI 2000 3.67%, ChiNext Index 4.48%, STAR 50 Index 8.58%[12][13][15] - The highest proportions of new high stocks by index are: CSI 2000 30.10%, CSI 1000 35.00%, CSI 500 41.80%, CSI 300 27.33%, ChiNext Index 34.00%, STAR 50 Index 44.00%[20][23][24] - The highest proportions of new high stocks by industry are: non-ferrous metals 69.92%, defense and military 63.11%, petroleum and petrochemical 60.78%[19][22][24] =========

Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots, with a focus on the effectiveness of momentum and trend-following strategies [1][4][13] - As of February 6, 2026, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index at 2.39%, Shenzhen Component Index at 3.69%, CSI 300 at 3.07%, CSI 500 at 5.29%, CSI 1000 at 4.95%, CSI 2000 at 3.67%, ChiNext Index at 4.48%, and STAR 50 Index at 8.58% [6][26] - Among the CITIC first-level industry indices, textiles and apparel, petroleum and petrochemicals, building materials, light industry manufacturing, and machinery are closest to their 250-day new highs, while banking, comprehensive finance, pharmaceuticals, food and beverage, and agriculture are further away [9][27] Group 2 - A total of 1,641 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][27] - The highest proportion of new high stocks is found in non-ferrous metals, defense and military, and petroleum and petrochemicals, with respective proportions of 69.92%, 63.11%, and 60.78% [14][27] - The manufacturing and technology sectors had the most new high stocks this week, with 523 and 513 stocks respectively, while the proportion of new high stocks in the indices is as follows: CSI 2000 at 30.10%, CSI 1000 at 35.00%, CSI 500 at 41.80%, CSI 300 at 27.33%, ChiNext at 34.00%, and STAR 50 at 44.00% [17][27] Group 3 - The report identifies 50 stocks with stable new highs, including Mingyang Smart Energy, Huanxu Electronics, and Hengtong Optic-Electric, primarily from the manufacturing and technology sectors [3][22][27] - The manufacturing sector had the most new high stocks, particularly in the machinery industry, while the technology sector's highest new highs were in the electronics industry [22][27]

- The report tracks stocks, industries, and sectors that have reached new highs, serving as market indicators, and uses a 250-day high distance metric to represent new high situations[11][12] - The 250-day high distance is calculated as: $ 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 January 30, 2026, the 250-day high distances for major indices are: 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%[12][13] - The report also monitors stocks that have reached new highs in the past 20 trading days, with 1606 stocks identified as of January 30, 2026. The industries with the most new high stocks are machinery, electronics, and basic chemicals, while the highest proportions of new high stocks are in non-ferrous metals, defense and military, and petroleum and petrochemical industries[19][20] - The report selects "stable new high stocks" based on analyst attention, relative stock strength, trend continuity, price path stability, and new high sustainability. The selection criteria include: - Analyst attention: At least 5 buy or hold ratings in the past 3 months - Relative stock strength: Top 20% in market performance over the past 250 days - Price path stability: Evaluated using the absolute value of price changes over the past 120 days and the sum of absolute daily price changes over the past 120 days - New high sustainability: Average 250-day high distance over the past 120 days - Trend continuity: Average 250-day high distance over the past 5 days[26][28] - The report identifies 50 stable new high stocks, with the most from the cyclical and technology sectors, particularly in basic chemicals and electronics[29][30] - The 250-day high distances for major indices are: 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%[12][13] - The 250-day high distances for some industry indices are: communication 0.00%, petroleum and petrochemical 0.47%, building materials 1.19%, non-ferrous metals 7.82%, and light manufacturing 1.55%[13] - The 250-day high distances for some concept indices are: paper 0.00%, oil and gas 0.47%, home goods 1.19%, gold 7.82%, agriculture 1.55%, Wind micro-cap stocks 0.00%, and chips 0.47%[15][17] - The proportions of new high stocks in various indices are: CSI 2000 29.75%, CSI 1000 33.60%, CSI 500 40.60%, CSI 300 28.00%, ChiNext Index 32.00%, and STAR 50 Index 42.00%[20][23]