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Analyzing the Stock Market Price Using Machine Learning for N Number of Days.

EasyChair Preprint no. 8503

11 pagesDate: July 20, 2022

Abstract

Stock Market Analysis and Prediction is a project on technical analysis, visualization, and prediction using data provided by Google Finance. By looking at data from the stock market, particularly some giant technology stocks and others. Used pandas to get stock information, visualized different aspects of it, and finally looked at a few ways of analyzing the risk of a stock, based on its previous performance history. Predicted future stock prices through a Monte Carlo method.

Keyphrases: Fbprophet, graph analysis, LSTM, prediction trends., stock price, time series

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:8503,
  author = {Shree Kantesh and Prajwal Bv and Shivkumar Cm},
  title = {Analyzing the Stock Market Price Using Machine Learning for N Number of Days.},
  howpublished = {EasyChair Preprint no. 8503},

  year = {EasyChair, 2022}}
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