STOCK PREDICTION USING LSTM TECHINQUE: REVIEW

Abstract

A portfolio of assets has never been easy to invest in;
the abnormalities of the financial market prevent simple models
from accurately predicting future asset prices. In the current
scientific study, one of the hottest topics in machine learning,
which is teaching computers to do things that would otherwise
require human intelligence. This paper aims to develop a model
for predicting future stock market values using the Long-Short
Term Memory Model (LSTM). Our goal is to find out how
accurate Machine Learning algorithms can be, and how much the
epochs can help us.