CI only lints app/, so 11 findings had accumulated in tests/ and scripts/.
Mechanical and behaviour-neutral, but two were not auto-fixable and needed a
judgement call rather than `ruff --fix`:
- E741 in run_fip_breadth_diagnostics: `l` is the OHLCV low and is genuinely
used, so this was a naming fix (`l` -> `lo`), not a deletion.
- F841 in the same file: `vol_ix`/`momr_ix` are assigned from a pure local
`_index()` and never read, so removing them cannot change any output. Their
upstream `vol_weeks`/`momr_weeks` maps *are* used further down and stay; the
comment above `_index` was corrected to say so.
The rest are unused imports and f-strings without placeholders (literal
markdown table headers, so identical output).
Verified beyond the linter, since py_compile does not catch a removed-but-used
import: every removed symbol has zero remaining references, all scripts compile,
and the full unit suite passes (852 passed, 1 skipped).
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
The A5 cutover has been on and observed in production, so SEC Company Facts +
DoltHub earnings are already the live source for `fundamental_data`. This
removes everything the legacy path still occupied.
Gone: the three providers and their config/env keys; the weekly
`fundamental_collector` job; the cutover toggle (SEC + Dolt is now the
unconditional path, so `off` can no longer silently freeze scoring inputs); the
A5 parity report, whose deltas became structurally zero once the candidate
builder started writing the table it compared against; and the FMP tier of
universe bootstrap.
Two behavioral notes:
- Disabling **SEC Fundamentals Import** now stops the SEC network fetch only.
The local cache refresh moved outside the job-enable check, because candidates
also derive from daily closes and earnings events — freezing those on an
ingestion pause would stale scoring with no fallback left to recover from.
- `/ingestion/fetch?sources=fundamentals` still accepts the key and reports
`skipped`; there is no per-ticker fetch any more.
Migration 029 does not blanket-delete the leftover settings rows. Migrations run
before the service restart, and pre-A6 code reads an absent `job_*_enabled` row
as *enabled* — so the two behavior-bearing keys become tombstones pinned to safe
values (hidden in Admin) and only the inert three are deleted. Removing the
provider keys from the production `.env` is the matching rollout step.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Brings the durable artifacts of research/portfolio-capacity-rebalancing onto
main so the rationale for raising the count cap lives with the code that cites
it. The matrix runner, the research simulator hooks and the study's unit tests
are deliberately left behind; they remain at tag research/portfolio-capacity-final.
Corrects conclusions that were reached on EV per trade and are now superseded:
the findings doc's decisions 1 (keep cap 10) and 4 (run the risk-floor A/B) are
struck through and answered in a new correction section, and the research README
and phase-A matrix entries are updated to match. The frozen specification itself
is untouched -- its recorded SHA-256 f1e37783 still verifies.
effective-risk-floor-ab.md is retained but marked CLOSED/NEGATIVE: the study it
proposes is already answered by cap15 vs cash_unbounded (-0.753pp CAGR while
EV/trade rises), and its EV-based pass rule would have shipped it.
scripts/research_rankings.py replaces a fourth copy of the historical rank-map
helper; run_research_matrix, run_execution_recovery_matrix and
run_daily_reentry_matrix now share it. The shared version adds a duplicate
observation guard and a deterministic symbol tie-break the copies lacked.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Operational plumbing to land the parser fixes and to make silent resolution
failures visible.
- Reparse: SecFundamentalsImporter(reparse=True) restages every accession with
the current parser and rewrites the ones that now reconstruct differently,
writing the full column set so a row is never half old-parse. Snapshots stay
immutable with respect to SEC; the stored row is our reconstruction, and after
a parser fix keeping it is a stale cache, not history. run_import(force=True)
bypasses the unchanged-revision no-op, since the staleness is on our side, not
the source's. Exposed as scripts/reparse_fundamentals.py, dry-run by default.
- CIK overrides: sec_universe reads a {symbol: cik} pin from
SystemSetting['sec_cik_overrides'], applied ahead of company_tickers.json, for
when SEC maps a ticker to a successor shell with no filings (XOM -> a zero-
filing "ExxonMobil Holdings Corp" while every 10-K/Q is under CIK 34088).
- Resolution validation: a tracked issuer resolving to a registrant with no XBRL
filings now records no_xbrl_filings and raises a warning naming the CIKs and
the override setting, instead of silently yielding nothing on every run.
- _diff_fields compares datetime instants, not representations: accepted_at
round-trips naive from SQLite but tz-aware from Postgres, which otherwise made
a reparse of identical data report every row as changed (and false-positived
the pre-existing discrepancy warning).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Earnings backfill sourced from the public DoltHub earnings repo at a
pinned commit rather than the FMP API: reproducible for anyone re-running
the study, and it burns no request quota. 12,414 events, 98.6% of symbols
with >=8 announcements, 99.2% paired actual/estimate, no keyed duplicates.
2a earnings-gap diagnostic: INFORMATIONAL, no filter shipped. The
pre-earnings cohort's right tail was better, so the registered
avoid-earnings condition failed. Note the raw 23/266 vs 115/574 incidence
gap is largely a duration confound -- severe losses stop out fast and have
less time to span an announcement -- so it is not evidence that holding
through earnings is safe.
2b SUE: FAIL against the pre-registered +0.03 bar (unconditional IC
+0.0151 over 56 reliable windows, momentum-conditional +0.0213). Signs
stable across eras, so this is a clean null rather than an ambiguous one,
consistent with post-earnings drift having decayed in large caps.
Closes the Tier-1 arc: Task 1 dead on deep evidence, Task 2 dead here,
Task 3 complete as diagnostic. No in-sample research thread remains open.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Drop intermediate history-depth reports, sector-residual runners/map/code hooks
(evidence stays in final reports + docs), and slim MacBook helper to ssl/earnings/
prod-book-matrix only. SSL bootstrap and archived research conclusions retained.
Pre-register A-D (4y/2016 x 505/505+liquid) with unchanged production knobs.
Runner caches full GTL candidates then re-ranks per arm; MacBook entry via
run_tier1_macbook.sh --prod-book-matrix.
SANITY-FAIL report showed megacaps/ETFs already at empirical 2016-01-04 floor
(2649 bars) after deepen; check wrongly required ~2013. Pass when megacaps leave
the old 2021 two-tier floor and match SPY; XLC listing exception retained.
Terminal follow-up for Task 1: detect/refetch shallow two-tier symbols and sector
ETFs at 5000d, regenerate manifest, run ONE liquid-1500 harness with era split, grade
mom_12_1_sector_resid mechanically. Bundled as run_tier1_macbook.sh --sector-resid-deep.
Extract app/ssl_bootstrap.py (shared with FastAPI main), wire it into research
scripts, and teach run_tier1_macbook.sh to locate combined-ca-bundle.pem, certifi,
optional USE_CORP_PROXY, plus --ssl-check diagnostics.
Tier-1 alpha research (local only, no production deploy):
Sector residual momentum: two-factor SPY+sector residual and sector demean signals, IC harness + A/B. Sector resid clears pre-registered bars narrowly (PROMOTE for human wire design only). Sector demean fails t vs market resid.
Earnings: earnings_events backfill (FMP bulk paid; FMP/AV per-symbol), 2a gap diagnostic report-only, 2b SUE IC (PARK; incomplete 48/506 coverage).
History-depth: pre-registered doc + runner for MacBook deep rebuild/harness.
Do not ship production residual or filters from this branch.
Log the 21:14 orphan as a snapshot-build race, rewrite the context table to
authoritative ICs only, and soften the vol-tilt warning. Add extender completion
manifest + breadth refuse guard; strip intermediate/orphaned reports; park the
thread (no book sim, no deploy).
Add lagged/tier/prod-subset/mom-conditional checks on research.sqlite.
Log: unconditional sign is a winner/bleeder tug-of-war; mom-conditional
fip stays negative and reliable; warn on high-vol tilt if universe broadens.
Add research-only snapshot extender, PIT dollar-volume mask for signal IC,
rank-only harness path, fingerprint+breadth runner, and docs. Fingerprint
reproduced IC -0.045 / t -2.91 on prod.sqlite. No production gate/schedule changes.
Document Phase A (max-hold/vol/corr closed; next-open as decision baseline).
Add stale_close and next_open gap-cap fill modes plus a small matrix to test
whether near-close scheduling recovers overnight momentum drift.
Ship shared Sharpe SE/PSR diagnostics, next-open fill and equity-curve vol targeting in the portfolio simulator, re-derived fip_id, and a checkpointed offline matrix runner for Mac-side validation sweeps.
Finnhub profile2 reports marketCapitalization in millions; storing it
as dollars made mega-caps like SPCX show as micro (e.g. 1.8M). Normalize
on ingest, add unit tests, and include a one-shot SQL backfill script.
Investigated whether our support/resistance detection follows best practice
and whether we actually use it that way. Three findings, all backed by runs
against the prod snapshot and written up in docs/research/sr-levels-and-exits.md:
- The S/R target must NOT become an exit. Honoring it as a take-profit on top
of the 3x ATR trail drops Sharpe 2.04 -> 1.47 and halves CAGR. Win rate rises
(37.5% -> 40.0%), which is the tell: it truncates the right tail where
momentum's edge lives.
- The clear-air fallback (synthesize a 3xATR target where no resistance exists,
so 52-week-high breakouts stop being vetoed) looked strictly better in-sample
(Sharpe 2.04 -> 2.07, CAGR 50.4% -> 62.3%, DD 21.4% -> 20.1%) but FAILED a
real out-of-sample holdout: on entries after 2024-07-01 it is worse on Sharpe
(2.78 -> 2.45) and Calmar, better only on raw CAGR. Not shipped.
- The detector itself is weak vs best practice (POC/VAH/VAL computed then
discarded, HVN = any above-mean bin, 1.48x volume double-counting, "touch"
counts pass-throughs, no round numbers), but its only causal path to P&L is
the entry gate. Fix it for the displayed levels, not for returns.
Method note: nested lookback windows are NOT out-of-sample. The in-sample result
was clean, large, and consistent across five windows, and still did not survive
a proper entry-date split.
All research paths are off by default and the default report is unchanged:
BACKTEST_RESEARCH_EXITS=1 take-profit exit rows
BACKTEST_ATR_TARGET_FALLBACK=k synthetic k*ATR target when S/R offers none
BACKTEST_FALLBACK_CLEAR_AIR_ONLY=1 restrict that to genuinely clear air
BACKTEST_HOLDOUT_SPLIT=YYYY-MM-DD train/test split by entry date
Also fixes two reproducibility holes found while reconciling our local baseline
against the live report:
- create_backtest_snapshot.py now copies paper_% settings. The production
monitor row replays the runtime exit policy via get_exit_policy(); without
those keys a snapshot silently falls back to code defaults, so a live-tuned
exit would never be reflected.
- Migration 020 drops activation_min_expected_value and
activation_min_target_probability. Both are orphans of the June EV-gate
redesign, read by no code path, but prod carries min_target_probability = 50.0
which implies a probability floor that is not enforced (the real floor is the
20% constant in qualification.py).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
dennisthiessenandClaude Opus 5