- 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[11][18][19] - The construction process of the "250-day new high distance" model is as follows: Formula: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Explanation: - $ 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 equals 0; otherwise, it is a positive value indicating the degree of pullback from the high[11] - The model evaluates the proximity of major indices to their 250-day highs. For example, as of December 26, 2025, the 250-day new high distances for indices such as the Shanghai Composite Index and the ChiNext Index are 1.63% and 12.56%, respectively[12][31] - The report highlights the effectiveness of tracking stocks that consistently hit new highs, as these stocks often lead market trends. This approach aligns with the principles discussed in "The Stock Wizard" and other momentum-based studies[18][19] - A screening method for "stable new high stocks" is introduced, focusing on factors such as analyst attention, relative stock strength, price path smoothness, and trend sustainability. Stocks are selected based on their performance over the past 120 days and their ability to maintain a stable upward trajectory[24][27] - The screening process includes specific metrics: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative stock strength: Top 20% in market performance over the past 250 days - Price path smoothness: Evaluated using metrics like price displacement ratio - Trend sustainability: Average 250-day new high distance over the past 120 days and the last five days[27] - The report identifies 50 "stable new high stocks" for the week, including companies like Zhongji Xuchuang, Yingweike, and Xinyisheng. These stocks are primarily concentrated in cyclical and technology sectors, with the highest representation in industries like non-ferrous metals and renewable energy equipment[28][32] - Backtesting results show that the "250-day new high distance" model effectively captures market trends and identifies leading stocks. For instance, indices closer to their 250-day highs often exhibit stronger momentum, and stocks with stable new highs demonstrate consistent upward trajectories[12][31][32]