A Research: Investigation of Financial Applications with Blockchain Technology
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Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Cryptocurrencies have revolutionized the financial landscape by providing decentralized and anonymous payment systems, making them an intriguing subject for investors and researchers. This article delves into applying machine learning techniques for predicting cryptocurrency prices, mainly focusing on Bitcoin, Ethereum, and Binance Coin. Employing a range of machine learning models, including XGBoost, Linear Regression, and Gaussian Processes, the study aims to evaluate their predictive performance comprehensively. The results are promising; our models outperform existing studies, achieving impressively low RMSE values of 0.0040 for Bitcoin, 0.028 for Ethereum, and 0.027 for Binance Coin. These findings contribute valuable insights into the volatility and dynamics of cryptocurrency pric- es and underscore the potential of machine learning in shaping financial decision-making. Future directions include integrating advanced deep learning models, additional data sourc- es, and ensemble methods to enhance prediction accuracy and robustness.
Açıklama
Anahtar Kelimeler
Bilgisayar Bilimleri, Yazılım Mühendisliği, İşletme, Bilgisayar Bilimleri, Sibernitik, Bilgisayar Bilimleri, Bilgi Sistemleri, Bilgisayar Bilimleri, Donanım ve Mimari, Bilgisayar Bilimleri, Teori ve Metotlar, İşletme Finans, Bilgisayar Bilimleri, Yapay Zeka
Kaynak
Hittite Journal of Science and Engineering
WoS Q Değeri
Scopus Q Değeri
Cilt
11
Sayı
1
