Fourth Edition of the International Conference on Research in Applied Mathematics and Computer Science ICRAMCS 2022
 March 24-25-26, 2022
Online and Face-to-Face Conference

ICRAMCS, 4 (2022) | Proceedings ISSN: 2605-7700

Research Communication | Open Access
Volume 2022 | Communication ID 423
LSTM for Stock Market Prediction from Financial Time Series
Khadija Ait Derhem, Boujemâa Achchab, Abdelkader EL ALAOUI
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
January 31, 2022
March 03, 2356
April 15, 2356

Abstract: Cryptocurrency is a digital currency that can be used goods and services much of the interest in these unregulated currencies is to trade for profit. People invest a lot of monetary funds into them so as to earn gains. That’s why there is a growing interest in studying the general dynamics of Bitcoin and in general of digital currencies. But it has never been easy to predict future stock market values with higher accuracy. The purpose of our current study is fundamentally using Deep Learning via Long Short Term Memory (LSTM) to forecast the price of the three most widely traded digital ...