This project explores the performance of 50+ investment instruments across multiple asset classes — including U.S. stocks, Indonesian stocks, global indices, top cryptocurrencies, mutual funds, bonds, and commodities. All datasets were collected through automated Python web scraping pipelines using Requests, BeautifulSoup, and various financial APIs.

The analysis focuses on identifying the highest returns and the most stable assets from 2022 to 2024, using metrics such as YoY return, CAGR, volatility, and Sharpe Ratio. The result is a clear, data-driven comparison across different markets and risk categories, highlighting which assets consistently outperformed in their respective segments.

Beyond investment insights, this project demonstrates technical capabilities in data gathering, cleaning, visualization, and quantitative interpretation — showcasing a blend of programming skill and analytical thinking.