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- 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.