Bitcoin Price Prediction Using Machine Learning

• Author(s): Vikas N; Lokesh S; Suprith D; TharunGowda M N; Adbul Rehaman
• Paper ID: 1712740
• Page: 684-686
• Published Date: 09-12-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 6 December-2025

Abstract

Bitcoin is one of the most volatile financial assets in the digital market. Accurate prediction of Bitcoin price movements is highly valuable for investors, traders, and financial institutions. This paper presents a machine learning-based approach for predicting Bitcoin prices using historical market data. Supervised learning algorithms including Linear Regression, Long Short-Term Memory (LSTM), and Random Forest are trained and evaluated. Experimental results show that LSTM outperforms traditional models in terms of prediction accuracy. The proposed system demonstrates the feasibility of applying deep learning for cryptocurrency price forecasting.

Keywords

Bitcoin, Cryptocurrency, Machine Learning, LSTM, Time Series Forecasting.

Citations

IRE Journals:
Vikas N, Lokesh S, Suprith D, TharunGowda M N, Adbul Rehaman "Bitcoin Price Prediction Using Machine Learning" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 684-686 https://doi.org/10.64388/IREV9I6-1712740

IEEE:
Vikas N, Lokesh S, Suprith D, TharunGowda M N, Adbul Rehaman "Bitcoin Price Prediction Using Machine Learning" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712740