Stock Exchange Prediction through Regression Technique

  • Maira Kamran Department of Software Engineering, The Superior College, Lahore, 54700, Pakistan
  • Marium Malik Department of Software Engineering, The Superior College, Lahore, 54700, Pakistan
  • Salman Mahmood Department of Software Engineering, The Superior College, Lahore, 54700, Pakistan
Keywords: prediction,, egression


Abstract Views: 208

Stock   exchange   forecast has   become   an   attractive   research because   of   its   essential   job   in   the economy and profitable offers. In the stock exchange, the choice of when purchasing or selling stock is significant so as to achieve interest. There are many methods that can be appropriated to help businesspeople so as to resolve a choice for   financial   benefit.   In   this   survey work,   I   have   introduced   a   Forecast Algorithm that will give the connection between  the  dependent  factor-like  cost and Independent factors like First, Last, Close,   Open,att1,   DTYYYMMDD, VALUES, PRE LOW, TICKER, VOL, OPENING  stock  values  and  qualities. In   this   review,   I   have   clarified   the change of the stock value forecast with the utilization of regression investigation     a     calculation.     Here regression is utilized to predict the stock cost of an organization for a specific date.


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How to Cite
Kamran, M., Malik, M., & Mahmood, S. (2021). Stock Exchange Prediction through Regression Technique. Innovative Computing Review, 1(1), 28–42.