This work aims to present a comparative study method of closed-price prediction for
cryptocurrencies namely machine learning-based and deep learning-based methods. Three …

This study aimed to evaluate the effectiveness of several algorithms for predicting the close-
price of various cryptocurrencies. Three algorithms employed in this comparative study were …

Cryptocurrency is a topic that is no longer strange in the investment world. Bitcoin is
considered a very famous cryptocurrency and has a large amount of investment across the …

This paper describes an architecture for predicting the price of cryptocurrencies for the next
seven days using the Adaptive Network Based Fuzzy Inference System (ANFIS). Historical …

The aim of this work is to utilize the kernel regression (KR) approach to predict the closed-
price for cryptocurrencies. This study makes use of three datasets: Bitcoin (BTC), Litecoin …

The cryptocurrency market data is highly noisy and nonlinear and conditioning the
effectiveness and efficiency of the models that can be used to forecast their price, making …