情绪继续修复，价量一致性维持高位——量化择时周报20260118

Core Viewpoint - The article emphasizes a positive market sentiment with increasing trading volume and consistency in price and volume, indicating a potential upward trend in the market [1][4]. Group 1: Market Sentiment Indicators - The market sentiment structure indicators include various metrics such as industry trading volatility, trading congestion, price-volume consistency, and others, which collectively suggest a positive sentiment direction [2]. - As of January 16, the market sentiment index reached 2.25, a significant increase from 1.6 the previous week, indicating a recovery in sentiment [4]. - The price-volume consistency indicator has shown a rapid increase, reflecting a strong correlation between market attention and price movements, suggesting an active market sentiment [6][10]. Group 2: Trading Activity and Volume - The total trading volume for the A-share market increased by 21.25% week-on-week, with an average daily trading volume of 34,650.61 billion yuan, highlighting heightened market activity [10]. - On January 14, a historical trading volume peak was recorded at 39,868.62 billion yuan, indicating strong market engagement [10]. Group 3: Sector Performance and Risk Appetite - The trading volatility between industries is on a downward trend, indicating a slowdown in capital switching between sectors, which may reflect a cautious market environment [13]. - The industry trend indicators remain stable, suggesting a high level of consensus on short-term value judgments across sectors, with a dominant beta effect in the market [16]. - The financing balance ratio remains high, indicating that leveraged capital sentiment is still elevated, reflecting a relatively positive risk appetite among investors [19]. Group 4: Short-term and Long-term Trends - The short-term scoring model indicates that sectors such as computers, pharmaceuticals, and media are showing upward trends, with the non-ferrous metals sector having the highest short-term score of 98.31 [25]. - The article notes that the correlation between industry congestion and weekly price changes is positive, suggesting that sectors with high congestion, like computers and media, are likely to experience significant price movements [28].