Visualisasi Tren Historis Bitcoin Menggunakan Python

Abstract

Bitcoin, as the most popular digital currency, exhibits significant price fluctuations and high volatility, requiring careful analysis to understand price movement trends and patterns. This study aims to visualize Bitcoin’s historical data using Python, focusing on price analysis, transaction volume, and volatility to identify price movement trends. By utilizing Python libraries such as Pandas, Matplotlib, and Plotly, Bitcoin data from 2018 to 2022 is analyzed and visualized in static and interactive graphs. The results indicate a long-term upward trend in Bitcoin prices, despite sharp fluctuations. Interactive visualizations using Plotly allow stakeholders to explore the data further, while correlation analysis reveals a strong relationship between opening and closing prices. The findings are expected to provide better insights for investors and stakeholders in making strategic decisions. This study also recommends leveraging real-time data and sentiment analysis as additional approaches to offer a more comprehensive view of Bitcoin market movements.