- Changed execution_count from 3 to null for a cleaner notebook state.
- Simplified the normality test logic by using a conditional expression to determine the p-value calculation, improving code readability.
- Created a new Python script for analyzing historical stock data.
- Implemented functions to test normality of price and return distributions.
- Included functionality to compute and visualize the efficient frontier for a portfolio of stocks.
- Added comments and documentation for clarity and future reference.
- Created a new Python script for portfolio analysis using historical stock data.
- Implemented functions for normality testing of prices and returns.
- Added histogram plots for prices and returns.
- Included logic for random portfolio allocation and efficient frontier calculation.
- Updated `pyproject.toml` to include `pandas-stubs` for type hinting support.
- Modified `uv.lock` to reflect the addition of `pandas-stubs` and its dependencies.
