Cryptocurrency exchange analysis through the use of artificial intelligence

Authors

Keywords:

Artificial intelligence, LSTM, Bitcoin, stock market, cryptocurrency

Abstract

The cryptocurrency exchange market is where it’s possible to buy and sell cryptocurrency like Bitcoin and Ethereum, and where people try to earn money through the price difference between buying and selling, but trying to predict the future value of a currency is hard, and needs a strong mathematical analysis or even a market sentiment analysis to get close to the real value. Thus, this paper’s objective is to use the LSTM (Long short term memory) Deep Learning model, together with techniques of data manipulation like exploratory data analysis, to predict the Bitcoin price and tendency, providing a reliable model that can be used to help traders make decisions on whether or not they should buy a cryptocurrency, aiming at profit. Comparisons were made with previous studies using techniques and models such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN).

 

 

 

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Published

05-07-2023

How to Cite

Moreira Penna, G., & Menezes Salgado, R. . (2023). Cryptocurrency exchange analysis through the use of artificial intelligence. Sigmae, 12(2), 29–40. Retrieved from https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/1893

Issue

Section

Data Science & Machine Learning