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Forecasting Stock Price of a Company Considering Macroeconomic Effect from News Events

机译:考虑新闻活动的宏观经济效果的公司预测股票价格

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Investment perspective, Stock Market is the most popular potential investment market around the globe currently, because of this reason the need of an effective stock prediction approach was a target of many researchers. Most of the previous approaches have adopted Artificial Neural Networks and Support Vector Machine, while some have got insights from other models as well. Above traditional approaches was lacking in precise predictions of stock price fluctuations. This paper reviews the previous approaches with different Machine Learning methods and suggests a predicting method using modified Artificial Neural Networks with consideration of macro-economic effects to promise better results in stock prediction.
机译:投资视角,股市是全球最受欢迎的潜在投资市场目前,因为这一原因需要有效的股票预测方法是许多研究人员的目标。最先前的大多数方法都采用了人工神经网络和支持向量机,而有些模型也有过洞察力。高于传统方法缺乏对库存价格波动的精确预测。本文综述了以前的不同机器学习方法的方法,并考虑了考虑到宏观经济效应的改进人工神经网络的预测方法,以承诺在库存预测中提高结果。

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