Year: 2024
Type: article
Abstract: This research aims to forecast the price of Bitcoin by identifying the factors that influence its price movements. The study combines 396 variables, categorised into data concerning the cryptocurrency ecosystem and data about significant global indices. The analysis utilises a dataset spanning 90 days from October 2022 to December 2022. The dataset is divided into 85% for training and 15% for testing. Among the 18 machine learning methods, the model demonstrating the highest accuracy is selected. The findings show the solid overall performance of the model, as indicated by an R2 score of 0.909.
Source: Sosyoekonomi
Authors: Ahmet Akusta, Mehmet Nuri Salur
Institutions: Konya Technical University, Necmettin Erbakan University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4405930467