A 股日线数据质量检查：OHLCV 清洗、按板块识别涨跌停/停牌、上市与连续性审计、SHA-256 快照。Data immunity for A-share daily bars: cleaning, board-aware price limits and suspensions, audits, snapshot manifests.
PIT 前视无偏复权引擎：复权因子链、复权口径漂移检测、快照等价校验。Point-in-time fixed-basis back-adjustment for daily prices, with convention-drift detection.
Fail-closed quality gate for quantitative backtests: DSR, PBO, Harvey-Liu haircut, and MinTRL in one NumPy engine with P0/P1/P2 grading.
Verifiable look-ahead checks for value-independent data pipelines: decision availability, windows, PIT reads, joins, monotonicity, and explicit heuristic boundaries.
Hash-chained, append-only pre-registration ledger for research claims, with falsification contracts, adjudication, and Wilson-CI hit-rate reports.
Local-first, deterministic mistake ledger for trading: record costs and tags, then match similar situations before you act.
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