Extracting and Visualizing Stock Data
This project explores stock market data using Python. I used APIs to retrieve historical stock prices and revenue data, cleaned the datasets, and visualised trends over time. Completed as part of the IBM Data Science course.
Technologies & Libraries Used
- Python
- Pandas
- NumPy
- Matplotlib
- yFinance / API requests
- Jupyter Notebook
Project Overview
- Retrieved stock price and revenue data using public APIs
- Cleaned and prepared the data for analysis
- Visualised stock trends for Tesla and GameStop
- Compared stock price movements with company revenues
- Generated insights from simple time-series analysis