Add portfolio analysis script and update dependencies

- 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.

pyproject.toml

@@ -12,6 +12,7 @@ dependencies = [
     "numpy>=2.2.5",
     "opencv-python>=4.11.0.86",
     "pandas>=2.2.3",
+    "pandas-stubs>=2.3.2.250926",
     "plotly>=6.3.0",
     "scikit-learn>=1.6.1",
     "scipy>=1.15.2",
@@ -48,6 +49,7 @@ select = [
 # Désactiver certaines règles
 ignore = [
     "E501", # line too long, géré par le formatter
+    "E402", # Imports in top of file
 ]
 
 # Exclure certains fichiers ou répertoires
@@ -79,5 +81,5 @@ fixable = ["ALL"]
 unfixable = []
 
 # Formatage des imports
-[isort]
-known-third-party = ["pydantic", "django"]
+[tool.isort]
+known_third_party = ["pydantic", "django"]