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 monitor market trends and identify potential market leaders. 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{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ represents the latest closing price - $\text{ts\_max(Close, 250)}$ represents 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 has fallen from the high, the distance is a positive value, indicating the degree of decline[11]. - **Model Evaluation**: The model effectively identifies market trends and highlights stocks or indices that are leading the market, aligning with the principles of momentum and trend-following strategies[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 are associated with stronger momentum effects[24][27]. - **Model Construction Process**: The selection process involves the following criteria: - **Analyst Attention**: At least 5 buy or overweight ratings in the past 3 months - **Relative Strength**: 250-day price change in the top 20% of the market - **Price Stability**: Stocks are ranked based on: - **Price Path Smoothness**: Ratio of price displacement to the total price path - **Sustainability of 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 The top 50 stocks based on these criteria are selected[24][27]. - **Model Evaluation**: The model emphasizes the importance of smooth price paths and consistent momentum, which are less likely to attract excessive attention and thus yield stronger returns[24][27]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Stable New High Stock Selection Model - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative distance of a stock's price from its 250-day high, serving as an indicator of momentum and trend strength[11]. - **Factor Construction Process**: The formula is: $ 250 \text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Where: - $\text{Close}_{t}$ is the latest closing price - $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor effectively captures momentum and trend-following characteristics, making it a reliable indicator for identifying market leaders[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the smoothness of a stock's price trajectory, as smoother paths are associated with stronger momentum effects[24]. - **Factor Construction Process**: - Calculate the ratio of price displacement to the total price path over a specified period - Rank stocks based on this ratio and select the top performers[24]. - **Factor Evaluation**: The factor highlights stocks with stable momentum, which are less likely to attract excessive attention and thus yield stronger returns[24]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 4.83% - Shenzhen Component Index: 8.65% - CSI 300: 6.20% - CSI 500: 9.69% - CSI 1000: 7.59% - CSI 2000: 7.40% - ChiNext Index: 12.16% - STAR 50 Index: 16.45%[12][13][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 15 stocks were identified, including Heertai, Sray New Materials, and Zangge Mining. - **Sector Distribution**: - Manufacturing: 5 stocks (e.g., construction industry) - Cyclical: 5 stocks (e.g., non-ferrous metals industry)[28][33]

Group 1 - The report tracks stocks, industries, and sectors that are reaching new highs, indicating market trends and hotspots [1][4][24] - As of November 21, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 4.83%, Shenzhen Component Index 8.65%, CSI 300 6.20%, CSI 500 9.69%, CSI 1000 7.59%, CSI 2000 7.40%, ChiNext Index 12.16%, and STAR 50 Index 16.45% [5][24] - Among the CITIC primary industry indices, the sectors closest to their 250-day new highs include petroleum and petrochemicals, textiles and apparel, basic chemicals, home appliances, and steel [8][24] Group 2 - A total of 1,127 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the basic chemicals, machinery, and power equipment and new energy sectors [2][13][24] - The highest proportion of new high stocks is found in the textiles and apparel, coal, and non-ferrous metals sectors, with respective proportions of 41.41%, 38.89%, and 38.71% [13][24] - The cyclical and manufacturing sectors had the most new high stocks this week, with 364 and 315 stocks respectively [15][24] Group 3 - The report identifies 15 stocks that have shown stable new highs, including Heertai, Sry New Materials, and Cangge Mining, with the manufacturing and cyclical sectors contributing the most stocks [3][20][25] - The construction industry had the highest number of new highs within the manufacturing sector, while the non-ferrous metals industry led in the cyclical sector [20][25]

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][19]. - **Model Construction Process**: The 250-day new high distance is calculated using the formula: $ 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. If the price has fallen from the high, the distance is a positive value representing the percentage drop[11]. - **Model Evaluation**: This model effectively identifies stocks or indices with strong momentum and highlights market leaders during upward trends[11][19]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model focuses on identifying stocks that exhibit stable momentum characteristics, such as smooth price paths and consistent new highs, which are less likely to be influenced by extreme short-term fluctuations[25]. - **Model Construction Process**: The screening process involves the following steps: 1. **Analyst Attention**: Stocks must have at least five "Buy" or "Overweight" ratings in the past three months[27]. 2. **Relative Strength**: Stocks must rank in the top 20% of the market based on their 250-day price performance[27]. 3. **Price Stability**: Stocks are scored based on two indicators: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price movement over the past 120 days[25][27]. - **New High Consistency**: The average 250-day new high distance over the past 120 days[27]. 4. **Trend Continuity**: The average 250-day new high distance over the past five days is used to select the top 50 stocks[27]. - **Model Evaluation**: This model emphasizes the importance of smooth momentum and consistent trends, which are often overlooked by investors, leading to stronger momentum effects[25][27]. --- Backtesting Results of Models 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.12% - Shenzhen Component Index: 3.19% - CSI 300: 3.55% - CSI 500: 0.53% - CSI 1000: 0.35% - CSI 2000: 0.23% - ChiNext Index: 8.48% - STAR 50 Index: 7.39%[12][32] 2. Stable New High Stock Screening Model - **Selected Stocks**: 50 stocks were identified, including Borui Pharmaceutical, Shenghong Technology, and Huaguang Energy[28][33]. - **Sector Distribution**: - Manufacturing: 18 stocks - Cyclical: 13 stocks - Leading industries: Machinery in manufacturing and basic chemicals in cyclical sectors[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative position of a stock's closing price to its 250-day high, capturing momentum and trend-following characteristics[11]. - **Factor Construction Process**: The formula is the same as the 250-Day New High Distance Model: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ - $ Close_t $: Latest closing price - $ ts\_max(Close, 250) $: Maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: This factor is effective in identifying stocks with strong upward momentum and market leadership potential[11][19]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the stability of a stock's price movement over time, favoring stocks with less volatile momentum[25]. - **Factor Construction Process**: - **Price Path Smoothness**: Calculated as the ratio of price displacement to the total price movement over the past 120 days[25][27]. - **Factor Evaluation**: Smooth price paths are associated with stronger momentum effects due to reduced investor attention and reaction[25]. 3. Factor Name: New High Consistency - **Factor Construction Idea**: This factor measures the consistency of a stock's new highs over time, emphasizing sustained upward trends[27]. - **Factor Construction Process**: - **New High Consistency**: The average 250-day new high distance over the past 120 days[27]. - **Factor Evaluation**: Consistent new highs indicate strong and sustained momentum, making this factor valuable for trend-following strategies[27]. --- Backtesting Results of Factors 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.12% - Shenzhen Component Index: 3.19% - CSI 300: 3.55% - CSI 500: 0.53% - CSI 1000: 0.35% - CSI 2000: 0.23% - ChiNext Index: 8.48% - STAR 50 Index: 7.39%[12][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 50 stocks were identified, including Borui Pharmaceutical, Shenghong Technology, and Huaguang Energy[28][33]. - **Sector Distribution**: - Manufacturing: 18 stocks - Cyclical: 13 stocks - Leading industries: Machinery in manufacturing and basic chemicals in cyclical sectors[28][33] 3. New High Consistency Factor - **Selected Stocks**: Same as the Price Path Smoothness Factor, as this factor is part of the screening process for stable new high stocks[28][33].

- The report tracks the market trend by monitoring stocks, industries, and sectors that have reached new highs, using a 250-day high distance metric[11][12][13] - 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 in the past 250 trading days[11] - As of June 27, 2025, the 250-day high distances for major indices are: Shanghai Composite Index 1.88%, Shenzhen Component Index 9.71%, CSI 300 7.86%, CSI 500 7.38%, CSI 1000 5.07%, CSI 2000 1.91%, ChiNext Index 16.70%, and STAR 50 Index 12.30%[12][13] - The report identifies 832 stocks that reached a 250-day high in the past 20 trading days, with the highest numbers in the pharmaceutical, basic chemicals, and machinery industries[19][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, selecting 32 stocks such as Shenghong Technology, Shijia Photon, and Giant Network[26][28][29] - The selected stable new high stocks are mainly from the technology and large financial sectors, with the technology sector having the most new highs in the electronics industry and the large financial sector having the most new highs in the banking industry[29][30][32]

- The report introduces a quantitative model called "250-day new high distance" to track market trends and identify investment hotspots. The model is based on the concept that stocks nearing their 52-week high tend to outperform those far from their 52-week high, as supported by research from [George@2004] and other notable investors like William O'Neil and Mark Minervini. The formula for calculating the 250-day new high distance is: $ 250 \text{ day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ where $\text{Close}_{t}$ represents the latest closing price, and $\text{ts\_max(Close, 250)}$ 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, it is a positive value indicating the percentage drop from the high. [11] - The report evaluates the "250-day new high distance" model as an effective tool for identifying market trends and leading stocks, emphasizing its ability to highlight momentum and trend-following strategies. [11][18] - The report also introduces a composite factor for selecting "stable new high stocks" from the pool of stocks that have reached a 250-day new high in the past 20 trading days. The selection criteria include: 1. Analyst attention: At least 5 buy or overweight ratings in the past 3 months 2. Relative stock strength: Top 20% of market-wide 250-day returns 3. Price stability: Evaluated using two metrics: - Price path smoothness: Stock price displacement ratio - Innovation high persistence: Time-series average of the 250-day new high distance over the past 120 days 4. Trend continuation: Time-series average of the 250-day new high distance over the past 5 days, selecting the top 50 stocks based on ranking. [23][26] Model Testing Results - The "250-day new high distance" model shows the following results for major indices as of June 6, 2025: - Shanghai Composite Index: 2.99% - Shenzhen Component Index: 11.41% - CSI 300 Index: 8.98% - CSI 500 Index: 8.98% - CSI 1000 Index: 6.94% - CSI 2000 Index: 4.25% - ChiNext Index: 20.03% - STAR 50 Index: 12.00% [2][12][31] - The "stable new high stocks" factor identified 38 stocks from the pool of 777 stocks that reached a 250-day new high in the past 20 trading days. These stocks were distributed across sectors as follows: - Manufacturing: 11 stocks - Consumer: 8 stocks - Other sectors include finance, technology, and healthcare [3][27][32]