feat: add Quant OS public status console

This commit is contained in:
2026-07-26 14:32:52 +08:00
parent e5911ca454
commit 00efeb7ec2
12 changed files with 4443 additions and 9 deletions
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@@ -33,9 +33,9 @@
"current_delivery": {
"score": null,
"status": "not_scored",
"reason": "Quant OS now has executable local pipelines, real Qlib fixture smokes, a checksummed incomplete Tushare-to-Qlib technical smoke and one completed real JoinQuant hosted smoke, but it has not produced complete adjusted PIT data, the same-input JoinQuant comparison, real QMT, broker-shadow, continuous reconciliation or compliance evidence required to score Baseline 60.",
"reason": "Quant OS 已有可执行本地流水线、真实 Qlib fixture smoke、带校验但不完整的 TushareQlib 技术 smoke,以及一次完成的真实聚宽 hosted smoke;但仍缺完整复权 PIT 数据、同输入聚宽比较、真实 QMT、券商影子盘、连续对账与合规证据,因此不能计入 Baseline 60",
"verified_supporting_facts": [
"The latest standard-library suite completed 216 tests with OK and 6 optional-runtime skips; the CPython 3.12 pyqlib environment completed the same 216 tests with the native Qlib smoke enabled and no skips.",
"The latest standard-library suite completed 224 tests with OK and 6 optional-runtime skips; the CPython 3.12 pyqlib environment completed the same 224 tests with the native Qlib smoke enabled and no skips.",
"The JQData adapter maps raw bars, adjustment factor, previous close, daily limits, pause state, PIT is_st and daily PIT index membership into a semantically revalidated snapshot; it rejects an end date that has not reached the provider's complete daily-bar boundary, and only fake-provider tests have been run so far.",
"The local snapshot can drive snapshot-backtest and snapshot-decision with manifest verification; it freezes a cross-checked provider trading calendar, and a T-close signal can bind only to a broker observation in the unique next session's Asia/Shanghai [09:00,09:30) window without collapsing the two clocks.",
"CPython 3.12 with pyqlib 0.9.7 completed a native momentum fixture smoke with 24 signals and saved audited portfolio-table hashes, bounds and recomputed metrics.",