Commit graph Warrior_EA/Expert/AIBase/MetaCorpus.mqh
Author SHA1 Message Date
AnimateDread
68459208bf fix(meta): make the stale-DB corpus warning unmissable in the tester
The warning lived inside the VerboseMode-gated corpus report, so a
forgotten wipe silently voided an entire 18-year corpus run - the
outdated-row guard rejected the whole replay against leftover rows
and the run appended 35 rows instead of building a corpus. The check
now runs unconditionally at tester OnInit (MetaCorpusStaleCheck): 52
quiet one-row newest-key probes vs the test start, with a loud stop-
wipe-rerun instruction when the DB is newer than the test. Absent
tables probe quietly via FetchNewestTimeKey''s new quiet flag.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 23:56:26 -04:00
AnimateDread
7d3c20d7f1 fix(meta): warn when a corpus backtest starts before the DB''s newest row
The first corpus build produced 3,681 rows, all 2026, from an 18-year
backtest: ProcessSignal''s outdated-row guard rejects any registration
older than a row its table already holds (correct for a live stream),
so a tester run starting before the leftover rows'' dates silently
registers nothing for the overlap. The corpus report now prints a
loud WARNING when running in the tester with DB rows newer than the
test''s start: corpus builds start from an empty DB.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 16:20:53 -04:00
AnimateDread
4507ea69a9 feat(meta): S1 - the signal DB becomes the meta-label training corpus
Implements stage S1 of Meta_Labeling_Design.md, superseding the
original "training-time ladder sweep": the per-side journaling from
652bf81/195be20 already produces the exact candidate stream a sweep
would compute - every pattern instance the live ladders fire, both
sides, uncensored, with netVote and touchable entry price - so the
corpus is READ from the DB instead of re-implementing 26 ladder
conditions in training code. That eliminates the silent-divergence
trap outright: the corpus is by construction identical to live
behaviour. Accepted costs are documented in the module and the doc:
coverage equals the populating backtest, and sampling is one
candidate per fire-stretch (the right dedup for training anyway).

- Expert\AIBase\MetaCorpus.mqh: CMetaCorpus reader (52 tables ->
  SMetaCandidate rows) + VerboseMode OnInit report: volume/closed/
  S&R-win-rate per family, span, and the GMT->server bar-offset
  match table (offsets +0..+3h) that S2''s label plumbing pins to -
  measured, not assumed.
- DB_MaxRowsPerTable input (default 1000 = old MAX_TABLE_ROWS): a
  corpus build raises it (e.g. 20000) so a 15-20 year backtest
  isn''t pruned; wired through CExpertSignalCustom::MaxTableRows().
- Report-only stage: nothing downstream consumes the corpus yet.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-12 15:20:33 -04:00