Request:
- Test whether subscription-period T0.5 market heat data can be captured and incorporated into IPO analysis.
Changes:
- Add an ipo_market_heat table for non-official market-heat snapshots.
- Add a VBKR/Jieli archive script for expected margin subscription multiples.
- Archive the 2026-06-15T18:40:00Z heat snapshot for 01392, 02335, 06067, 06106, and 06132.
- Add an experimental T0.5 overlay rule file and a Chinese cross-IPO trial report.
- Update archivist and analyst skills so T0.5 remains separate from official T1 allotment demand.
Verification:
- .venv/bin/python -m py_compile scripts/archive_t0_5_market_heat.py scripts/build_analysis_dataset.py scripts/update_sync_state.py
- Python sqlite3 PRAGMA integrity_check returned ok and foreign_key_check returned zero rows.
- Confirmed 5 ipo_market_heat rows and 5 t0_5_market_heat source_refs for the frozen snapshot.
- git diff --cached --check
Next useful context:
- T0.5 data is non-official and should be resampled during the subscription window, then compared against T1 official allotment results.
Request:
Use the project archivist workflow to update IPO target coverage for the most recent three-year window.
Changes:
- Add scripts/update_recent_ipo_list.py to discover HKEXnews annual new listing reports, archive XLSX sources, parse subscription-relevant IPO rows, and update SQLite plus snapshots.
- Add new_listing_report_entries to preserve annual report row-level evidence.
- Archive 2023-2026 Main Board new listing reports and 2024-2026 GEM new listing reports.
- Seed 290 report-backed IPO targets for 2023-06-15 through 2026-06-15, skipping 10 non-IPO rows without numeric offer prices.
- Refresh ipo_master, missing offering_terms fields, source_refs, ticker_sync_state, and sync_tasks.
- Add openpyxl as the XLSX parser dependency and document the archivist refresh flow.
- Limit sync summary output while keeping the full queue in SQLite and CSV snapshots.
Verification:
- Ran update_recent_ipo_list.py for 2023-06-15 to 2026-06-15 with as-of 2026-06-15T07:30:00Z.
- Parsed project Python scripts with ast.parse.
- Checked SQLite integrity and DB-to-snapshot row counts.
- Verified source_refs paths are repo-relative, files exist, and SHA-256 hashes match.
- Ran git diff --check and git diff --cached --check.
- Checked for Python cache and SQLite transient files.
Next useful context:
- ipo_master now has 293 tickers; new_listing_report_entries has 290 report-backed targets.
- Current sync queue has 2005 open tasks and 42 waiting_until_due tasks for deeper per-ticker archival stages.
Request:
Add archivist support for remembering which IPO archive stages have already been synced and which stages should be updated next.
Changes:
- Add sync_runs, ticker_sync_state, sync_tasks, and price_performance tables to the archive schema.
- Add scripts/update_sync_state.py to derive per-ticker stage status and rebuild the next-sync task queue.
- Export the new sync-state tables as Git-friendly CSV snapshots.
- Document the incremental archive flow in the archivist skill and README.
Verification:
- Ran scripts/bootstrap_historical_data.py.
- Ran scripts/update_sync_state.py with a deterministic as-of timestamp.
- Checked SQLite integrity and DB-to-snapshot row counts with Python sqlite3.
- Parsed Python scripts with ast.parse.
- Ran git diff --check and checked for temporary SQLite/cache files.
Next useful context:
- Current derived queue has 2 open tasks for 06658 and 15 waiting_until_due tasks for future stages.
Request:
- Use the project archivist workflow to update historical IPO data.
Changes:
- Add an embedded SQLite archive at data/hk_ipo.sqlite.
- Add schema/hk_ipo.schema.sql and scripts/bootstrap_historical_data.py for reproducible archive generation.
- Archive HKEXnews source PDFs for 06658, 06675, and 06106 under repo-relative data/raw paths.
- Export Git-friendly snapshots for ipo_master, offering_terms, ipo_demand, source_refs, and data_gaps.
- Add .gitignore rules for Python cache and SQLite transient files.
Verification:
- Re-ran the bootstrap script successfully.
- Ran PRAGMA integrity_check on the SQLite database.
- Verified source_refs paths are repo-relative, files exist, and SHA-256 hashes match.
- Verified snapshot row counts match SQLite table counts.
- Ran git diff --check and searched generated durable files for machine-specific absolute paths.
geometrybase