Finance

Stock (firearms)

Biology

Machine learning

Recurrent neural network

Engineering

Long short term memory

Paleontology

Artificial intelligence

Financial market

Economics

Stock market prediction

Stock market

Computer science

Horse

Computer security

Artificial neural network

Asset (computer security)

Mechanical engineering

Procedia Computer Science

It has never been easy to invest in a set of assets, the abnormally of financial market does not allow simple models to predict future asset values with higher accuracy. Machine learning, which consist of making computers perform tasks that normally requiring human intelligence is currently the dominant trend in scientific research. This article aims to build a model using Recurrent Neural Networks (RNN) and especially Long-Short Term Memory model (LSTM) to predict future stock market values. The main objective of this paper is to see in which precision a Machine learning algorithm can predict and how much the epochs can improve our model.

Stock Market Prediction Using LSTM Recurrent Neural Network