投資理財是財富管理上相當重要的課題,投資人若能掌握股票市場的趨勢與進場時機,便能將風險最小化並獲取超額報酬。在股票分析的方法上,透過人工智慧能夠解決許多非線性趨勢問題,並有效輔助使用者加速決策並解決問題。近年來資訊視覺化在資訊擷取的卓越功效,已成為解決使用者面對大量資料時理解問題的研究方法之一。本論文整合股票資訊視覺化系統個案,歸納分析視覺化在該領域的各項優勢與適用性,並依照使用性原則進行開發多維度空間資訊視覺化系統,協助使用者理解資訊內容。研究的方法是將股票市場資訊導入資訊視覺化系統,結合類神經網路演算法進行股票市場趨勢預測,判斷個股在市場上的表現,以輔助投資人進行決策。本研究之成果為探討股票市場資訊視覺化之設計原則、市場交易技術指標之概念與視覺化在使用性上的評估準則,發展股市資訊視覺化系統,提供更友善直覺的介面,減少使用者解讀資訊與進行決策的時間。
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.