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chinese-equity-quant/requirements.txt
T
Yuxuan Yan 1caa63faeb refactor: class-based alpha factory + month-partitioned data pipeline
Replace the old signal/strategy/backtest modules with a decoupled
data → alpha → combo pipeline (parquet between phases, .pq extension).

Alphas:
- BaseAlpha + @register_alpha factory/plugin registry; one file per
  built-in (reversal, reversal_vol, momentum); external alphas via
  --alpha-module. Alphas are z-scored position weights, not predictors.

Data:
- baostock primary / akshare fallback, treated consistently.
- New --universe all (~5000 A-shares via query_all_stock, filtered).
- login-once batch downloader; empty-string OHLCV coerced to NaN.
- Month-partitioned dataset {output_dir}/{universe}/month=YYYY-MM/*.pq
  with chunked durability flushes; --data-path is the dataset dir.

CLI logs at INFO by default (--log-level) so progress is visible.
Docs (README, CLAUDE.md) updated incl. pipeline diagram and roadmap
TODOs for portfolio construction / backtest / paper trading.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-09 14:07:07 +08:00

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backtrader>=1.9.76.123
akshare>=1.14.0
baostock>=0.8.8
pandas>=2.0.0
matplotlib>=3.7.0
pytest>=7.0.0
click>=8.0.0
pyarrow>=14.0.0