Engineering

Stock (firearms)

Biology

Stock market

Data mining

Computer science

Paleontology

Mechanical engineering

Horse

Artificial intelligence

Stock market prediction

Artificial neural network

Recurrent neural network

Machine learning

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