.

ISSN 2063-5346
For urgent queries please contact : +918130348310

STOCK PRICE PREDICTION BY USING MACHINE LEARNING APPROACH

Main Article Content

Jagbeer Singh, Tushar Kumar, Kalash Kumar, Tarun Yadav, Shrishti Tomar
» doi: 10.31838/ecb/2023.12.s1-B.196

Abstract

In this research paper, we will see the application of machine learning techniques for predicting stock prices. Here we will use the one-week historical data of Microsoft company. We will test and train that data by using different algorithms of machine learning. Such algorithm will include LSTM or Long Short Term Memory, RNN or Recurrent Neural Network and Linear Regression. We are using LSTM here as its MSE is 0.0005 which is better than other algorithms. Our task is to predict future stock price and predicting future stock price is very challenging process. So, our research paper will show the potential of machine learning by predicting stock prices.

Article Details