Request:
- Generate an analyst report for HK IPO ticker 02335.
Changes:
- Archived the official HKEXnews 02335 prospectus PDF and extracted text under project-relative data paths.
- Seeded 02335 T0 prospectus facts, source references, sync state, and analysis snapshots.
- Generated reports/2026-06-15_02335_T0_prospectus_analysis.md in Simplified Chinese with concrete T0/T1/T2/D1 dates and short-exit T2/D1 discipline.
- Made PDF text extraction tolerant of invalid Unicode surrogate characters emitted by pypdf.
Verification:
- Compiled archive_hkex_documents.py, generate_ipo_report.py, build_analysis_dataset.py, extract_pdf_text.py, and update_sync_state.py.
- Ran SQLite integrity_check and foreign_key_check.
- Verified the archived 02335 PDF hash, extracted-text manifest row, and analysis dataset row.
- Ran git diff --check.
Next useful context:
- 02335 is currently T0_prospectus; T1_allotment is pending for 2026-06-23.
Request:
- Generate an analyst report for HK IPO ticker 06067.
Changes:
- Archived the official HKEXnews 06067 prospectus PDF and extracted text under project-relative data paths.
- Seeded 06067 T0 prospectus facts, source references, sync state, and analysis snapshots.
- Generated reports/2026-06-15_06067_T0_prospectus_analysis.md in Simplified Chinese with concrete T0/T1/T2/D1 dates and short-exit T2/D1 discipline.
- Updated the HKEX document archiver so over-allotment shares are only recorded when the prospectus supports them, with explicit no-option cases stored as zero.
Verification:
- Compiled archive_hkex_documents.py, generate_ipo_report.py, build_analysis_dataset.py, extract_pdf_text.py, and update_sync_state.py.
- Ran SQLite integrity_check and foreign_key_check.
- Verified the archived 06067 PDF hash, extracted-text manifest row, and analysis dataset row.
- Ran git diff --check.
Next useful context:
- 06067 is currently T0_prospectus; T1_allotment is pending for 2026-06-22.
Request:
- Analyze HK IPO ticker 01392 with the analyst skill.
- Preserve the in-flight 06132 archive/report work already created for the prior request.
Changes:
- Archived official HKEX prospectus PDFs and extracted text for 01392 and 06132.
- Seeded structured T0 facts into the SQLite archive and refreshed CSV snapshots and sync state.
- Rebuilt the v0 analysis dataset and model calibration report.
- Generated Simplified Chinese T0 prospectus-stage analyst reports for 01392 and 06132.
- Adjusted report stage calendars so T2 uses the previous business day before D1 when listing is separated from allocation by a weekend.
Verification:
- Compiled modified Python scripts with in-memory syntax checks.
- Ran SQLite quick_check and foreign_key_check.
- Confirmed DB row counts match CSV snapshots for key tables.
- Verified 01392/06132 source paths are repo-relative, raw files exist, hashes match, and PDF text manifest rows are ok.
- Ran git diff --cached --check.
Next useful context:
- 01392 T1 is due on 2026-06-18; rerun analyst after allotment results are archived.
- 06132 T1 is due on 2026-06-22; rerun analyst after allotment results are archived.
Request:
- Re-analyze the IPO model using the updated historical archive after T1 demand backfill.
Changes:
- Regenerate the v0 analysis dataset from the current SQLite archive.
- Refresh the v0 calibration report with expanded T1 coverage and new empirical bucket rates.
- Update the report template to show pending T1 rows and field-level blanks.
- Clarify v0 limitations and record why the score formula stays unchanged for this refresh.
Verification:
- Ran scripts/build_analysis_dataset.py against data/hk_ipo.sqlite.
- Ran py_compile for scripts/build_analysis_dataset.py.
- Checked dataset row count, T1 demand coverage, source-only T1 gaps, and repo-relative paths.
- Ran git diff --check.
Next useful context:
- T1 structured coverage is now 291 rows, with 06106 and 06675 still pending_not_due.
- The high-conviction T1 bucket remains differentiated, but middle and low buckets are still not monotonic enough for a v1 rule change.
Request:
- Use the analyst skill to digest downloaded IPO archive data and start building an analysis model.
Changes:
- Add ipo_score_v0 as the first transparent stage-safe scoring rule set.
- Add build_analysis_dataset.py to derive model features, scores, decision bands, and empirical D1 calibration from SQLite.
- Generate analysis_model_v0_dataset.csv with 293 scored IPO rows and archived source paths.
- Add a model calibration report documenting coverage, T0/T1 bucket performance, usage, and known gaps.
- Record the initial model entry in the rule change log and document the command in README.
Verification:
- Ran py_compile for scripts/build_analysis_dataset.py.
- Regenerated the analysis dataset and report with as-of 2026-06-15T13:00:00Z.
- Checked CSV row count, source path coverage, and repo-relative path hygiene.
- Ran git diff --cached --check.
Next useful context:
- v0 should be treated as a transparent baseline, with T1 high-score calibration strongest and middle buckets still non-monotonic.
- T2 is excluded until a reliable grey-market source is approved.
geometrybase