Stock Price Analysis

In this project, you will download historical stock price data and analyze it using Pandas time series tools. You will work with dates as an index, resample data at different frequencies, and compute moving averages.

1. Download historical stock data for at least two companies using the `yfinance` library
2. Set the date column as the DataFrame index
3. Plot closing prices over time using line charts
4. Resample data to weekly and monthly frequency using `.resample()`
5. Compute 20-day and 200-day moving averages with `.rolling()`
6. Compare trading volume between the two companies