Official v1.2.0 Notebook

The repository includes one comprehensive, executable notebook:

notebooks/ASRQuant_v1.2.0_Quickstart.ipynb

It covers:

1. environment/version verification;
2. deterministic market data generation;
3. data validation;
4. portfolio optimization;
5. backtesting;
6. option pricing;
7. yield curves and swaps;
8. alpha diagnostics and portfolio risk;
9. microstructure diagnostics;
10. hypothesis discovery;
11. regression and walk-forward ML.

The notebook intentionally uses deterministic synthetic data for the baseline walkthrough. This keeps the tutorial reproducible and separates package mechanics from external provider availability or data revisions.