Stock Price Prediction by Using Machine Learning Approach

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Vaibhav Maan; Vikrant Tomar; Yash Sharma; Utkarsh Rana

Stock Price Prediction by Using Machine Learning Approach

Authors: Vaibhav Maan, Vikrant Tomar, Yash Sharma, Utkarsh Rana

Unique Paper ID: 177370
Volume: 11
Issue: 12
PageNo: 2035-2038

Keywords: Machine Learning Recurrent Neural Network LSTM Linear Regression

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.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 2035-2038

Stock Price Prediction by Using Machine Learning Approach

Available:https://ijirt.org/article?manuscript=177370

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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