文章基本信息

标题：Web-Based Decision Support Systems Application of Stock Recommendation Using Bayesian Methods
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作者：Nina Sevani ; Maria Ariesta
期刊名称：Jurnal INKOM
印刷版ISSN：2302-6146
出版年度：2014
卷号：8
期号：1
页码：1-9
语种：English
出版社：Pusat Penelitian Informatika - LIPI
摘要：We propose an application that can support traders by providing recommendation about the right stock transaction. The expected impact from this application is to reduce the risk of loss, even achieve the maximum profit for traders who use this application. Recommendation that resulted by application is based on Bayesian methods calculation and four technical analysis indicators that most commonly used by stock experts, i.e. Bollinger Bands, Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and Stochastic Oscillator. Methodology used in this paper consists of data collection, data analysisa, application design, implementation, and testing. From the results of application testing, the accuracy of the application is 87,37%.