Forecasting the movements of Bitcoin prices: an application of machine learning algorithms

H Pabuçcu, S Ongan, A Ongan - arXiv preprint arXiv:2303.04642, 2023 - arxiv.org
Cryptocurrencies, such as Bitcoin, are one of the most controversial and complex
technological innovations in today's financial system. This study aims to forecast the …

[PDF][PDF] Empirical evaluation of machine learning performance in forecasting cryptocurrencies

L Al Hawi, S Sharqawi, QA Al-Haija, A Qusef - Journal of Advances in …, 2023 - jait.us
Cryptocurrencies like Bitcoin are one of today's financial system's most contentious and
difficult technological advances. This study aims to evaluate the performance of three …

Forecasting Bitcoin volatility using hybrid GARCH models with machine learning

M Zahid, F Iqbal, D Koutmos - Risks, 2022 - mdpi.com
The time series movements of Bitcoin prices are commonly characterized as highly
nonlinear and volatile in nature across economic periods, when compared to the …

Relationship Between Intensive Passive Data Signals and Patterns of Binge-Eating Behaviors: From a Dynamical-System Approach

Q Shi, LM Thornton, R Kilshaw… - Clinical …, 2024 - journals.sagepub.com
In this study, we investigate using passive data, specifically heart rate and actigraphy, for
individuals with binge-type eating disorders such as bulimia nervosa (BN) and binge-eating …

A Comparative Study Between Economic Models and Machine Learning Models for Bitcoin Return Volatility Prediction

H Wu, J Zhou - 2023 International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
The significant difference between Bitcoin and other assets is that it is usually highly volatile.
Therefore, it is very important for investors to predict the future trend of Bitcoin. Quantifying …