基于TR广度计算的情绪观测指标

Group 1 - The core viewpoint of the article emphasizes the inadequacy of using moving averages to measure market sentiment, arguing that it reflects rationality rather than true emotional responses [1] - The article introduces a new method for measuring market sentiment through the TR value, which captures the maximum daily price movement, suggesting that the frequency of breakthroughs in maximum tension is a more accurate measure of sentiment [1] - The sentiment curve derived from TR calculations includes three lines representing 10-day, 20-day, and 40-day sentiment values, with specific thresholds indicating "emotional boiling" and "emotional freezing" regions [1] Group 2 - Key insights include that extreme sentiment values often lead to price reversals [3] - The synchronization of extreme values across the three sentiment lines indicates a significant potential for price reversals [3] - Discrepancies between large sentiment peaks and small sentiment movements suggest lower reliability in predicting market behavior [3] - A significant divergence between sentiment peaks and price peaks indicates a potential turning point in the market [3]