Abstract
A candlestick chart is generally used by investors while analyzing portfolios. It consists of daily or weekly opening price, high price, low price and closing price, and investors use candlestick chart on the basis of industrial categories. However, since such industrial categories are not based on share prices, at times, price movement of one candlestick chart can differ from that of another candlestick chart even if both candlestick charts are about the same industrial category. Therefore, categories should be created according to share prices as well. One such study in which brands are classified by share prices proposes to use closing price (Wittman, 2002). However, a method that uses only closing price lacks other trade information. Thus, in this study, we propose a method of brand classification that uses all four trading information: opening price, high price, low price and closing price. As examples, we evaluate similarity by using artificial data.
