A Novel Approach for Bitcoin Price Prediction

Abstract

This research explores the dynamic space of cryptocurrency like Bitcoin using advanced machine learning (ML) techniques to predict Bitcoin prices. The approach uses historical data of the closing price of bitcoin and incorporates types of machine learning model, including real-time analysis using ARIMA and deep learning models i.e. LSTM and GRU. The research aims not only to increase the performance & accuracy of Bitcoin price predictions but also to reveal the underlying structures and patterns that govern its fluctuations. This research provides investors, traders, and policymakers with valuable resources as they navigate the complex cryptocurrency market and bridges the gap between financial analysis and traditional and new learning technologies.