This project analyzes monthly performance of major technology stocks using Python. The analysis groups financial time-series data by month and explores patterns in stock returns.
- Microsoft (MSFT)
- IBM (IBM)
- Meta Platforms (FB)
- Twitter (TWTR)
- Alphabet Inc. (GOOG / GOOGL)
- Apple Inc. (AAPL)
- Monthly grouping of stock return data
- Aggregation of returns by company and month
- Data manipulation using pandas
- Visualization using matplotlib and seaborn
Python
- pandas
- matplotlib
- seaborn
This project demonstrates Python techniques for financial time-series analysis, grouping operations, and visualization commonly used in financial analytics and quantitative research.