Stock market predication using a linear regression

Dinesh Bhuriya, Girish Kaushal, Ashish Sharma, Upendra Singh
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引用次数: 51

Abstract

It is a serious challenge for investors and corporate stockholders to forecast the daily behavior of stock market which helps them to invest with more confidence by taking risks and fluctuations into consideration. In this paper, by applying linear regression for forecasting behavior of TCS data set, we prove that our proposed method is best to compare the other regression techniquemethod and the stockholders can invest confidentially based on that.
运用线性回归对股市进行预测
对投资者和公司股东来说,预测股票市场的日常行为是一个严峻的挑战,这有助于他们在考虑风险和波动的情况下更有信心地进行投资。本文通过将线性回归应用于TCS数据集的行为预测,证明了本文提出的方法与其他回归方法相比是最好的,股东可以在此基础上进行保密投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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