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Real Time Share Market Analysis using Machine Learning

Author(s):

Mrs.Vaidehi M , Dayananda Sagar College of Engineering; Basavaraj Savalagi, Dayananda Sagar College of Engineering; Mohammed Sufiyaan Baig, Dayananda Sagar College of Engineering; Girish Babu J N, Dayananda Sagar College of Engineering; Deepak Kumar N, Dayananda Sagar College of Engineering

Keywords:

Machine Learning, Datasets, Yahoo Finance, Google Finance, Regression

Abstract

Share market prediction is the demonstration of attempting to decide the real time value of an organization stock or other financial instrument traded on a financial exchange using tools and techniques of Machine Learning. In this paper we propose a Machine Learning approach that will be trained from the accessible stocks data and gain intelligence and then uses the acquired knowledge for an exact prediction. This model predicts the stock prices using different datasets (for example: nasdaq finance, yahoo finance and google finance) and regression technique. The goal of this model is to analyze the historical data and predict the real time stock prices accurately.

Other Details

Paper ID: IJSRDV8I20206
Published in: Volume : 8, Issue : 2
Publication Date: 01/05/2020
Page(s): 338-341

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