Stock Portfolio Tracker

A static view of stock portfolio analysis with pre-generated graphs and metrics.

This project is a Python-based Stock Portfolio Tracker that analyses the historical performance of selected stocks and generates informative visualisations.

For this project, I focused on three prominent companies:

• TSLA – Tesla, Inc., a leading electric vehicle and clean energy company.
• AAPL – Apple Inc., a global technology company known for its consumer electronics and software.
• MSFT – Microsoft Corporation, a multinational technology company specialising in software, cloud computing, and hardware.

The Python code retrieves stock data, calculates daily returns, and creates visualisations including historical prices, cumulative portfolio returns, and correlation heatmaps. These plots help investors understand performance trends and the relationships between different stocks.