Files
NexQuant/rdagent
TPTBusiness 8d85f06c11 feat: Integrate factor code/description saving into fin_quant process
- Modify factor_runner.py to save factor_code and factor_description
- Add _extract_factor_info() method to extract code from experiment
- Update _save_factor_json() to include code and description
- Now every backtest automatically saves to results/factors/ with:
  * Full factor implementation code
  * Extracted description (docstring or comments)
  * IC, Sharpe, Win Rate, Max Drawdown metrics

This means the normal trading loop (rdagent fin_quant) now automatically
saves complete factor information to results/factors/ - same format as
predix_full_eval.py.
2026-04-04 22:27:14 +02:00
..
2026-03-18 14:04:52 +08:00