Stock Market Prediction Using Machine Learning published in ijirt.org

Research paper published by

Mr.Tejas Pandav, Mr.Chetan Shinde, Mr.Malharrao Shelar, Mr.Shubham Shelar, Mr.Saurabh Kodre & Prof. Punam Chavan

Department of Information Technology

Zeal College of Engineering and Research, Narhe, Pune,
Maharashtra, India

Read full paper on ijirt.org PAPERID 160289, Volume 10 Issue 1

The subject of stock forecasting is currently
quite popular. Only a select few individuals had access to
the study in the beginning due to a number of factors
including the device’s limitations. Since science and
technology have advanced so quickly, more and more
people are now interested in studying prediction, and it is
getting simpler and simpler for us to predict stocks using
various techniques like machine learning, deep learning,
and others. In this essay, we’ll use LSTM (Long and Short
Term Memory) to predict stocks and incentives for the
following day. We can improve pre-processing methods
to remove noise from data so that subsequent operations
like categorization and prediction doesn’t make any
impact.