Add CryptoQuant client and regime detection analysis

- Introduced `CryptoQuantClient` for fetching data from the CryptoQuant API.
- Added `regime_detection.py` for advanced regime detection analysis using machine learning.
- Updated dependencies in `pyproject.toml` and `uv.lock` to include `scikit-learn`, `matplotlib`, `plotly`, `requests`, and `python-dotenv`.
- Enhanced `.gitignore` to exclude `regime_results.html` and CSV files.
- Created an interactive HTML plot for regime detection results and saved it as `regime_results.html`.

pyproject.toml

@@ -10,6 +10,11 @@ dependencies = [
     "pandas>=2.3.1",
     "ta>=0.11.0",
     "vectorbt>=0.28.2",
+    "scikit-learn>=1.6.0",
+    "matplotlib>=3.10.0",
+    "plotly>=5.24.0",
+    "requests>=2.32.5",
+    "python-dotenv>=1.2.1",
 ]
 
 [project.optional-dependencies]