英文摘要 |
This key factors study of Taiwan's stock market uses the Hierarchical Clustering method to forecast the market's high and low points. This study reveals the aggregate number of new highs and new lows are based on the study that collected from conducting a series of interviews with academic scholars and security professionals who have actively engaged in the actual securities marketplace. Our study demonstrates a total of 20 factors that include (1) the economic analysis overview, (2) technical indicators tools, (3) trending indicators, such as trading volume indicators, metrics, and etc. After collecting relevant opinions through hierarchical analysis experts, our studies demonstrate the careful interpretation of trading patterns. These technical analysts help our studies in the trading disciplines to evaluate investments and identify trading opportunities by analyzing statistical trends gathered from trading activity. As a result, our research has shown trading volume indicators, technical indicators, and trending indicators are significantly used while trading at the high point. When the stock market is at its low point, the three most significant tools are economic analysis indicators, technical indicators, and volume indicators. |