- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot sectors. The model is based on momentum and trend-following strategies, which have been proven effective in previous studies. The calculation formula is: $ 250\text{-day new high distance} = 1 - \frac{\text{Closet}}{\text{ts\_max(Close, 250)}} $ where Closet 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 equals 0; otherwise, it is a positive value indicating the degree of pullback[11][19][23] - The model evaluates the relative proximity of major indices to their 250-day highs. As of September 26, 2025, the 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 1.43%, 1.76%, 0.95%, 1.37%, 2.08%, 3.67%, 2.60%, and 1.60%, respectively[12][13][32] - The report also tracks the proximity of industry indices to their 250-day highs. Industries such as power equipment & new energy, non-ferrous metals, electronics, media, and machinery are closer to their 250-day highs, with distances of 1.69%, 0.82%, 2.65%, 2.74%, and 2.09%, respectively[13][15][32] - A separate analysis focuses on concept indices, including power generation equipment, gold, wind power, solar power, and energy storage, which are relatively close to their 250-day highs[15][17][32] - The report identifies 1233 stocks that reached 250-day highs in the past 20 trading days. The sectors with the highest number of such stocks are electronics (182 stocks), machinery (178 stocks), and basic chemicals (137 stocks). The sectors with the highest proportion of stocks reaching new highs are non-ferrous metals (54.84%), electronics (37.45%), and power equipment & new energy (31.09%)[19][20][33] - The report introduces a screening method for "stable new high stocks" based on factors such as analyst attention, relative stock strength, price path smoothness, and trend sustainability. Stocks are selected based on metrics like the absolute value of 120-day price changes, cumulative absolute daily price changes over 120 days, and the average 250-day new high distance over the past 120 days[23][26][33] - Using the above screening criteria, 50 stable new high stocks were identified, including companies like New Yisheng, Giant Network, and Lead Intelligent. The technology sector contributed 20 stocks, with electronics being the most represented industry. The manufacturing sector contributed 13 stocks, with machinery being the most represented industry[27][33][31]

- 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: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of a stock's closing price from its 250-day high to identify market trends and hotspots. It is based on the premise that stocks nearing their 52-week highs tend to outperform, as highlighted in prior research by George (2004) and others[10][17]. - **Model Construction Process**: The formula for the 250-day new high distance is: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ represents the latest closing price - $ 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; otherwise, the distance is positive, indicating the percentage drop from the high[10]. - **Model Evaluation**: This model effectively captures momentum and trend-following strategies, aligning with the principles of notable investors like William O'Neil and Mark Minervini[10][17]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model identifies stocks with stable price paths and consistent upward trends, leveraging the "smooth momentum" effect. Research suggests that stocks with smoother price paths yield higher returns than those with volatile paths[23]. - **Model Construction Process**: The screening criteria include: - **Price Path Smoothness**: Measured as the ratio of the absolute value of the past 120-day price change to the sum of absolute daily price changes over the same period[23]. - **Analyst Attention**: At least five "buy" or "overweight" ratings in the past three months[26]. - **Relative Strength**: The stock's 250-day return ranks in the top 20% of the market[26]. - **Trend Continuity**: The average 250-day new high distance over the past 120 days[26]. - **Trend Extension**: The average 250-day new high distance over the past five days, with the top 50 stocks selected[26]. - **Model Evaluation**: This model emphasizes the importance of smooth price trajectories and consistent momentum, which are less likely to attract excessive investor attention, thereby enhancing returns[23]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Key Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.50% - Shenzhen Component Index: 8.58% - CSI 300: 6.44% - CSI 500: 6.62% - CSI 1000: 4.53% - CSI 2000: 1.33% - ChiNext Index: 15.45% - STAR 50 Index: 12.60%[2][11][31] 2. Stable New High Stock Screening Model - **Selected Stocks**: 33 stocks were identified, including Shenghong Technology, Jingbeifang, and Giant Network[27][32]. - **Sector Distribution**: - Technology: 9 stocks (e.g., electronics) - Manufacturing: 8 stocks (e.g., machinery)[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 closing price to its 250-day high, capturing momentum and trend-following characteristics[10]. - **Factor Construction Process**: $ 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[10]. - **Factor Evaluation**: This factor is widely recognized for its ability to identify leading stocks and market trends, as supported by academic and practical research[10][17]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the smoothness of a stock's price trajectory, emphasizing consistent upward trends over volatile movements[23]. - **Factor Construction Process**: $ Price\ Path\ Smoothness = \frac{Absolute\ Value\ of\ 120\ Day\ Return}{Sum\ of\ Absolute\ Daily\ Returns\ over\ 120\ Days} $[23] - **Factor Evaluation**: This factor highlights stocks with stable momentum, which are less likely to be overreacted to by investors, leading to stronger performance[23]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Key Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.50% - Shenzhen Component Index: 8.58% - CSI 300: 6.44% - CSI 500: 6.62% - CSI 1000: 4.53% - CSI 2000: 1.33% - ChiNext Index: 15.45% - STAR 50 Index: 12.60%[2][11][31] 2. Price Path Smoothness Factor - **Selected Stocks**: 33 stocks were identified, including Shenghong Technology, Jingbeifang, and Giant Network[27][32]. - **Sector Distribution**: - Technology: 9 stocks (e.g., electronics) - Manufacturing: 8 stocks (e.g., machinery)[27][32]

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 May 16, 2025, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index at 3.50%, Shenzhen Component Index at 11.44%, CSI 300 at 8.62%, CSI 500 at 9.71%, CSI 1000 at 8.22%, CSI 2000 at 5.97%, ChiNext Index at 20.03%, and STAR Market 50 Index at 11.68% [5][24] Group 2: High-Performing Stocks - A total of 544 stocks reached a 250-day new high in the past 20 trading days, with the highest numbers in the basic chemical, machinery, and pharmaceutical sectors, totaling 81, 64, and 43 stocks respectively [2][13] - The highest proportion of new high stocks is found in the banking, transportation, and defense industries, with respective proportions of 64.29%, 20.33%, and 17.65% [13][26] Group 3: Sector Analysis - The manufacturing and cyclical sectors had the most stocks reaching new highs this week, with 174 and 157 stocks respectively, while the consumer, technology, pharmaceutical, and financial sectors had 68, 67, 43, and 32 stocks respectively [16] - The proportion of new high stocks in various indices includes: CSI 2000 at 10.05%, CSI 1000 at 7.80%, CSI 500 at 7.40%, CSI 300 at 10.33%, ChiNext Index at 5.00%, and STAR Market 50 Index at 6.00% [16][26] Group 4: Stable High-Performing Stocks - The report identifies 47 stable high-performing stocks, including Shuanglin Co., Wanchen Group, and Zhongchong Co., with the majority from the manufacturing and consumer sectors, totaling 17 and 11 stocks respectively [3][21] - The automotive industry leads in the manufacturing sector for new highs, while the agriculture, forestry, animal husbandry, and fishery industry leads in the consumer sector [21]