Backfill IPO price performance history

Request:
- Adjust archivist after the audit findings and update historical data.

Changes:
- Teach the archivist skill to close audit-discovered gaps in priority order.
- Add scripts/archive_price_performance.py for due D1/D5/D20/D60 price-performance backfills.
- Document the price-performance backfill command in README.
- Archive raw Yahoo Finance chart responses under repo-relative data/raw/{ticker}/ paths.
- Populate price_performance with D1/D5/D20/D60 checkpoints and refresh source_refs, sync_runs, sync_tasks, and ticker_sync_state snapshots.

Execution:
- Ran .venv/bin/python scripts/archive_price_performance.py --as-of 2026-06-15T10:00:00Z.
- Selected 291 due price-performance tickers.
- Archived 273 price-history sources and wrote 1063 price-performance rows.
- Re-ran .venv/bin/python scripts/archive_hkex_documents.py --as-of 2026-06-15T10:05:00Z for the remaining open T0/T1 tasks; no additional completed T0/T1 stages resulted.

Verification:
- Compiled the new price-performance script.
- Ran git diff --check.
- Checked SQLite integrity and foreign keys.
- Confirmed database row counts match CSV snapshots.
- Verified all 979 source_refs use valid repo-relative paths, have files, have hashes, and SHA256 hashes match.
- Confirmed no generated Python caches or SQLite transient files remain.

Next useful context:
- price_performance now has 1063 rows: D1 273, D5 272, D20 267, D60 251.
- Remaining due price-performance gaps are 18 tickers where Yahoo history was unavailable or the request failed.
- T0/T1 gaps remain at T0 93 and T1 77; T2 grey-market remains unresolved pending a reproducible source strategy.

.codex/skills/archivist/SKILL.md

@@ -46,6 +46,7 @@ references/
 - Use HKEXnews annual new listing reports to seed broad recent-IPO target coverage before collecting deeper per-ticker documents.
 - Preserve raw source files; do not overwrite without first checking whether the contents changed.
 - Label missing, stale, inconsistent, or estimated fields explicitly.
+- Use audit findings to prioritize historical data gaps before expanding analysis coverage.
 
 ## Boundaries
 
@@ -103,6 +104,18 @@ python3 scripts/update_sync_state.py
 
 Then update only rows in `sync_tasks` whose `task_status` is `open` or `blocked`. Do not re-download existing source files unless the upstream source changed or the stored hash no longer matches.
 
+## Audit-Driven Gap Closure
+
+When `audit` finds historical data gaps, close them in this order unless the user specifies otherwise:
+
+1. Integrity blockers: missing raw files, bad hashes, absolute paths, broken snapshots, or failed foreign keys.
+2. Stage blockers: open due `T0_prospectus` and `T1_allotment` tasks that prevent stage-correct analysis.
+3. Outcome blockers: due `D1`, `D5`, `D20`, and `D60` price performance needed for feedback and review.
+4. Context fields: industry labels, market cap, net proceeds, timetable gaps, and other comparison fields.
+5. Hard-to-source signals: `T2_grey_market`, only after a reproducible source strategy is available.
+
+After each gap-closure run, refresh `sync_tasks`, export snapshots, and report what remains open. Do not mark unavailable data complete just to reduce the queue.
+
 ## Recent IPO Target Coverage
 
 Use the recent IPO updater when the user asks to update a broad date range of HK IPO targets:
@@ -125,6 +138,16 @@ Use the document archiver to fill detailed T0/T1 facts from official HKEXnews PD
 
 The script resolves HKEXnews stock IDs, archives prospectus and allotment-results PDFs under `data/raw/{ticker}/`, updates `source_refs`, parses high-confidence fields into `ipo_master`, `offering_terms`, and `ipo_demand`, exports snapshots, and refreshes sync state.
 
+## Price Performance Backfill
+
+Use the price-performance archiver to fill due `D1`, `D5`, `D20`, and `D60` review checkpoints:
+
+```bash
+.venv/bin/python scripts/archive_price_performance.py --as-of YYYY-MM-DDTHH:MM:SSZ
+```
+
+The script archives one raw market-data response per ticker under `data/raw/{ticker}/`, records it in `source_refs`, writes structured rows into `price_performance`, exports snapshots, and refreshes sync state. Checkpoints use the configured calendar due date and the next available trading day in the archived market data.
+
 ## Quality Checks
 
 Before finishing, confirm:

README.md

@@ -119,6 +119,16 @@ Use the HKEX document archiver to fill detailed T0/T1 facts for open sync tasks:
 
 The archiver maps stock codes to HKEXnews title-search stock IDs, downloads the selected prospectus and allotment-results PDFs under `data/raw/{ticker}/`, records `source_refs`, parses high-confidence T0/T1 fields into `ipo_master`, `offering_terms`, and `ipo_demand`, exports snapshots, and refreshes `sync_tasks`.
 
+## Price Performance Backfill
+
+Use the price-performance archiver to fill due D1/D5/D20/D60 review checkpoints:
+
+```bash
+.venv/bin/python scripts/archive_price_performance.py --as-of 2026-06-15T10:00:00Z
+```
+
+The archiver stores raw Yahoo Finance chart responses under `data/raw/{ticker}/`, records source references and hashes, writes structured rows into `price_performance`, exports snapshots, and refreshes `sync_tasks`.
+
 ## Incremental Archive Sync
 
 The archivist keeps a per-ticker sync ledger so repeated updates can focus on missing stages:

data/raw/01081/price_history_yahoo_2026-06-02_2026-06-15.json

@@ -0,0 +1 @@
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data/raw/01187/price_history_yahoo_2026-05-03_2026-06-15.json

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data/raw/01236/price_history_yahoo_2026-05-08_2026-06-15.json

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data/raw/01511/price_history_yahoo_2026-05-17_2026-06-15.json

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data/raw/01609/price_history_yahoo_2026-05-02_2026-06-14.json

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data/raw/01779/price_history_yahoo_2026-06-02_2026-06-15.json

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data/raw/01879/price_history_yahoo_2026-04-25_2026-06-07.json

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data/raw/02290/price_history_yahoo_2026-06-02_2026-06-15.json

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data/raw/02476/price_history_yahoo_2026-04-18_2026-05-31.json

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data/raw/02493/price_history_yahoo_2026-04-25_2026-06-07.json

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data/raw/02513/price_history_yahoo_2026-01-05_2026-03-29.json

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data/raw/02526/price_history_yahoo_2026-03-27_2026-06-15.json

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