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Success comparison between business inteligence methods and technical analysis methods for stock price forecasting

机译:商业智能方法与技术分析方法在股票价格预测中的成功比较

摘要

The graduation thesis deals with the area of business intelligence (BI). Business intelligence deals with tools and algorithms, which are used on raw data in order to change them into useful information for business analyses and forecasts. Technology used in business intelligence is mostly used for big data processing. The results we get from these methods need to be processed logically and as simply as possible. In my thesis, I used polynomial regression, which is used in business intelligence. I modified it for forecasting of stock’s price movement. I compared the obtained result to different methods used in financial industry for forecasting stock’s price movements.ud
机译:毕业论文涉及商业智能(BI)领域。商业智能处理工具和算法,这些工具和算法用于原始数据,以将其更改为用于业务分析和预测的有用信息。商业智能中使用的技术主要用于大数据处理。我们需要从逻辑上尽可能简单地处理从这些方法获得的结果。在我的论文中,我使用了多项式回归,该多项式回归用于商业智能。我对其进行了修改,以预测股票的价格走势。我将获得的结果与金融行业中用来预测股票价格走势的不同方法进行了比较。 ud

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  • 作者

    Rizman Klemen;

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  • 年度 2017
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