一周市场数据复盘20250411

• The report uses Mahalanobis distance to measure industry crowding based on recent weekly price and transaction amount changes[17] - Last week, the agriculture, forestry, animal husbandry, and fishery industry experienced short-term trading crowding[18] - The first quadrant represents industries with simultaneous price and volume increases, while the third quadrant represents industries with simultaneous price and volume decreases. Points outside the ellipse indicate industries with a deviation confidence level exceeding 99%[17] - The Mahalanobis distance formula used in the report is: $ D^2 = (x - \mu)^T \Sigma^{-1} (x - \mu) $ where $ x $ represents the vector of observed values, $ \mu $ represents the mean vector, and $ \Sigma $ represents the covariance matrix[17] - Evaluation: The Mahalanobis distance is a robust measure for identifying short-term trading crowding in industries, providing a clear indication of significant deviations in price and transaction amounts[17] - Agriculture, forestry, animal husbandry, and fishery industry showed significant short-term trading crowding last week[18] - Mahalanobis distance for industry crowding: Agriculture, forestry, animal husbandry, and fishery industry[18]