Information Visualization of Technical Indexes in Stock Market

• Main Authors: Tzu-Yang Yeh, 葉子揚
• Other Authors: Chi-Wei Lee
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/04311400481312002703

碩士 === 元智大學 === 資訊傳播學系 === 97 === Finance management is an important issue for investors of stock market. It is helpful for an investor to analyze and predict the data in stock market. Artificial intelligence is one of the methods used to assist investors to handle the great amount of data. Recently information visualization is used in the research of information interpretation and retrieval to reduce user’s burden of overwhelming data. In this paper, cases of information visualization are studied to analyze the usability and design principles. Neural network is designed into our system to predict the trend of the stock market. The prediction with the 3D interactive interface can help the user in decision. The result includes the design principles for our information visualization system, extraction of technical indexes of stock market, usability evaluation for interface of information visualization, implementation of an assistant system for decision making in stock market, user friendly interface and efficient data interpretation for the user.