- Model Name: 250-Day New High Distance Model; 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 hitting new highs; Model Construction Process: The formula used is $ 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 in the past 250 trading days. If the latest closing price hits a new high, the distance is 0; if it falls back, the distance is positive, indicating the extent of the fallback[11][12][13]; 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][19] - Factor Name: Stable New High Stocks; Factor Construction Idea: The factor focuses on stocks that have not only hit new highs but also exhibit stable price paths and strong momentum; Factor Construction Process: 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 stability (using metrics like the sum of absolute daily returns over the past 120 days), and trend continuation (average 250-day new high distance over the past 120 days and past 5 days). The top 50% of stocks based on these criteria are selected[26][29][30]; Factor Evaluation: This factor is designed to capture stocks with strong and stable momentum, which are less likely to experience sudden drops and more likely to continue their upward trend[26][29] Model Backtest Results - 250-Day New High Distance Model, Shanghai Composite Index: 6.43%, Shenzhen Component Index: 5.13%, CSI 300: 6.01%, CSI 500: 10.64%, CSI 1000: 9.51%, CSI 2000: 9.52%, ChiNext Index: 2.73%, STAR 50 Index: 16.40%[12][34] Factor Backtest Results - Stable New High Stocks, Number of Stocks: 14, including companies like Asia Integration, Biwin Storage, Salt Lake Shares, etc.; Sector Distribution: Most stocks are from cyclical and technology sectors, with 6 stocks each. In the cyclical sector, the most new highs are in the basic chemical industry; in the technology sector, the most new highs are in the electronics industry[30][33]

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] - As of March 27, 2026, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index at 6.43%, Shenzhen Component Index at 5.13%, CSI 300 at 6.01%, CSI 500 at 10.64%, CSI 1000 at 9.51%, CSI 2000 at 9.52%, ChiNext Index at 2.73%, and STAR 50 Index at 16.40% [5][25] - Among the CITIC first-level industry indices, the sectors closest to their 250-day new highs include Power and Utilities, Power Equipment and New Energy, Coal, Communication, and Oil and Petrochemicals, while Food and Beverage, Retail, Comprehensive Finance, Non-Bank Finance, and Real Estate are further away [8][25] Group 2 - A total of 961 stocks reached a 250-day new high in the past 20 trading days, with the highest numbers in Power Equipment and New Energy, Basic Chemicals, and Machinery sectors [2][26] - The highest proportion of new high stocks is found in the Oil and Petrochemicals, Coal, and Power and Utilities sectors, with respective proportions of 66.67%, 55.56%, and 48.26% [13][26] - The distribution of new high stocks by sector shows that the Cycle and Technology sectors have the most stocks reaching new highs, with 354 and 297 stocks respectively [14][26] Group 3 - The report identifies 14 stocks that have shown stable new highs, including Yaxiang Integration, Baiwei Storage, and Salt Lake Co., with the majority coming from the Cycle and Technology sectors [3][20] - The selection criteria for stable new high stocks include analyst attention, relative strength of stock prices, price path stability, and continuity of new highs [19][23] - The most represented industries among the stable new high stocks are Basic Chemicals in the Cycle sector and Electronics in the Technology sector [20][26]

Quantitative Models and Construction Methods - **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 over the past 250 trading days. It is used to identify stocks or indices that are trending upward and approaching new highs, which can serve as market indicators[11][18]. **Model Construction Process**: The formula for calculating the 250-day new high distance is: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{\text{ts\_max}(Close, 250)} $ - $ Close_t $: Latest closing price - $ \text{ts\_max}(Close, 250) $: 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 degree of decline[11]. **Model Evaluation**: The model effectively captures momentum and trend-following strategies, which have been validated by prior research[11][18]. - **Model Name**: Stable New High Stock Selection Model **Model Construction Idea**: This model identifies stocks with stable price paths and consistent upward trends, focusing on momentum characteristics over time. It incorporates factors such as analyst attention, relative price strength, and price path smoothness[23][26]. **Model Construction Process**: 1. Filter stocks that have reached a 250-day new high in the past 20 trading days. 2. Apply the following criteria: - Analyst Attention: At least 5 "Buy" or "Overweight" ratings in the past 3 months. - Relative Price Strength: Top 20% in terms of 250-day price performance. - Price Path Smoothness: Use metrics such as cumulative absolute daily returns over the past 120 days and the ratio of price displacement to path length. - Trend Continuity: Average 250-day new high distance over the past 120 days. - Recent Momentum: Average 250-day new high distance over the past 5 days. 3. Rank stocks based on these metrics and select the top 50% for further analysis[23][26]. **Model Evaluation**: The model emphasizes smooth momentum and sustained trends, which are less likely to attract excessive attention, potentially leading to stronger momentum effects[23]. Model Backtesting Results - **250-Day New High Distance Model**: - Major indices' 250-day new high distances as of March 13, 2026: - Shanghai Composite: 2.08% - Shenzhen Component: 1.54% - CSI 300: 2.54% - CSI 500: 4.84% - CSI 1000: 4.05% - CSI 2000: 4.39% - ChiNext Index: 2.30% - STAR 50 Index: 11.72%[12][13][33] - **Stable New High Stock Selection Model**: - Selected 18 stocks, including Bawei Storage, High Energy Environment, and Han's Laser. - Sector distribution: - Technology: 7 stocks (e.g., electronics) - Cyclical: 6 stocks (e.g., basic chemicals) - Manufacturing, healthcare, and others: Remaining stocks[27][30][34] Quantitative Factors and Construction Methods - **Factor Name**: 250-Day New High Distance **Factor Construction Idea**: Measures the proximity 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}{\text{ts\_max}(Close, 250)} $ - $ Close_t $: Latest closing price - $ \text{ts\_max}(Close, 250) $: Maximum closing price over the past 250 trading days[11]. **Factor Evaluation**: Widely supported by academic research and practical applications, this factor is a robust indicator of momentum[11][18]. - **Factor Name**: Price Path Smoothness **Factor Construction Idea**: Evaluates the stability of a stock's price movement, favoring stocks with smoother upward trends[23]. **Factor Construction Process**: - Calculate cumulative absolute daily returns over the past 120 days. - Compute the ratio of price displacement to path length over the same period. - Rank stocks based on these metrics and select the top performers[23][26]. **Factor Evaluation**: Smooth price paths are less likely to attract excessive attention, leading to stronger and more sustainable momentum effects[23]. Factor Backtesting Results - **250-Day New High Distance Factor**: - Major indices' 250-day new high distances as of March 13, 2026: - Shanghai Composite: 2.08% - Shenzhen Component: 1.54% - CSI 300: 2.54% - CSI 500: 4.84% - CSI 1000: 4.05% - CSI 2000: 4.39% - ChiNext Index: 2.30% - STAR 50 Index: 11.72%[12][13][33] - **Price Path Smoothness Factor**: - Selected 18 stocks with stable price paths, including Bawei Storage, High Energy Environment, and Han's Laser. - Sector distribution: - Technology: 7 stocks (e.g., electronics) - Cyclical: 6 stocks (e.g., basic chemicals) - Manufacturing, healthcare, and others: Remaining stocks[27][30][34]

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] - As of March 13, 2026, the distance to the 250-day high for major indices is as follows: Shanghai Composite Index at 2.08%, Shenzhen Component Index at 1.54%, CSI 300 at 2.54%, CSI 500 at 4.84%, CSI 1000 at 4.05%, CSI 2000 at 4.39%, ChiNext Index at 2.30%, and STAR 50 Index at 11.72% [6][26] - Among the CITIC first-level industry indices, construction, coal, electric power and public utilities, electric equipment and new energy, and basic chemicals are closest to their 250-day highs, while food and beverage, retail, non-bank financials, comprehensive finance, and pharmaceuticals are further away [9][26] Group 2 - A total of 1,266 stocks reached a 250-day high in the past 20 trading days, with the most significant numbers in the machinery, basic chemicals, and electronics sectors, while the highest proportions of new highs are in oil and petrochemicals, coal, and electric power and public utilities [14][26] - The cyclical and technology sectors had the most stocks reaching new highs this week, with respective counts of 415 and 378, while the proportions of new highs in various indices are: CSI 2000 at 21.35%, CSI 1000 at 25.50%, CSI 500 at 29.60%, CSI 300 at 22.00%, ChiNext Index at 19.00%, and STAR 50 Index at 12.00% [17][26] Group 3 - The report identifies 18 stocks with stable new highs, including Bawei Storage, High Energy Environment, and Dazhu Laser, with the technology and cyclical sectors having the most stocks selected, specifically in electronics and basic chemicals [22][27] - The selection criteria for stable new high stocks include analyst attention, relative strength of stock prices, price path stability, and continuity of new highs [20][21]

Core Viewpoint - The A-share market has entered a new round of structural trends in 2026, with sectors like commercial aerospace, new energy, and artificial intelligence (AI) applications showing strong performance, leading to a significant increase in the issuance of thematic ETFs and their net asset values [1] Group 1: Thematic ETF Performance - The Satellite ETF managed by Yongying Fund has achieved a return of 17.92% year-to-date and a 99.10% increase over the past six months, with its scale rising from 2.4 billion to 17 billion yuan, making it the first satellite-themed ETF to exceed 10 billion yuan in size [1] - The Huaan Gold ETF has surpassed 100 billion yuan in scale, becoming the first gold ETF in China to enter the "billion club" due to rising gold and silver prices [1] Group 2: Fund Company Activities - Multiple fund companies are actively launching thematic ETFs focused on "pan-technology + high-end manufacturing," targeting investment directions such as electric utilities, sub-sectors of the Sci-Tech Innovation Board, and battery themes that are not yet overcrowded [2] - The Invesco Great Wall Fund's electric utility ETF raised 1.667 billion yuan in just 7 days, indicating strong investor interest in the electric sector [2] - The Tianhong Fund's chip design thematic ETF raised 607 million yuan in 8 days, while the Southern Fund's AI ETF raised 514 million yuan in only 6 days [2] Group 3: New Energy and Resource ETFs - In the new energy sector, battery-themed ETFs are experiencing "same-topic competition," with the Dacheng Fund's battery ETF raising 442 million yuan in just 4 days, the shortest subscription period in the market [4] - Several fund companies have reported new ETFs focused on industrial metals, indicating a strong interest in upstream resource sectors [4] Group 4: ETF Issuance Trends - The number of new ETFs issued has surged from 281 in 2021 to 363 in 2025, with technology, new energy, and pharmaceutical thematic ETFs showing remarkable performance [5] - The Huaxia Hang Seng Internet Technology ETF's shares have increased from 7.555 billion at issuance to 66.869 billion, an expansion of nearly 8 times [5] - However, there is a notable trend of divergence within thematic ETFs, with some products experiencing a rapid decline in scale, highlighting the importance of long-term sector attractiveness and product differentiation [5] Group 5: Market Outlook - Analysts suggest that the recent surge in thematic ETF issuance is closely linked to the structural trends in the A-share market in 2026, with institutional investors quickly positioning themselves in popular sectors [6] - If the related industries maintain their growth, these ETFs may become a significant direction for capital inflow, but fund companies must focus on lifecycle management and market demand to avoid resource wastage [6]