Analysis of Bitcoin Price Forecasting and Related Influencing Factors

Jiaxin Wang

2025

Abstract

This paper focuses on the factors affecting the price of Bitcoin and its predicted future price trends. As the most iconic cryptocurrency, Bitcoin has received widespread attention from investors, policymakers, and researchers due to its high volatility and potential ability to transform the financial system. Understanding the determinants of Bitcoin's price is important for assessing its role in financial markets, improving risk management capabilities, and developing effective investment strategies. This study examines a variety of internal and external factors that may affect the price of bitcoin, including market supply and demand, investor sentiment, macroeconomic indicators, regulatory policy changes, and technological advances. In terms of price forecasting, this paper employs statistical and machine learning methods, focusing on the use of ARIMA model, to model and analyse the long-term trend of Bitcoin. The study incorporates historical data to test the effectiveness of the model. This study helps to deepen the understanding of Bitcoin's market behaviour, provides reference for investors to optimise their asset allocation in the context of the evolving digital economy, and provides theoretical support for financial stability analysis and regulatory policy formulation.

Paper Citation

in Harvard Style

Wang J. (2025). Analysis of Bitcoin Price Forecasting and Related Influencing Factors. In Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA; ISBN 978-989-758-774-0, SciTePress, pages 620-625. DOI: 10.5220/0013834500004708

in Bibtex Style

@conference{iampa25,
author={Jiaxin Wang},
title={Analysis of Bitcoin Price Forecasting and Related Influencing Factors},
booktitle={Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA},
year={2025},
pages={620-625},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013834500004708},
isbn={978-989-758-774-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovations in Applied Mathematics, Physics, and Astronomy - Volume 1: IAMPA
TI - Analysis of Bitcoin Price Forecasting and Related Influencing Factors
SN - 978-989-758-774-0
AU - Wang J.
PY - 2025
SP - 620
EP - 625
DO - 10.5220/0013834500004708
PB - SciTePress