Warrior_EA/Expert/OnlineLearning
Repository files (latest commit first)
Filename Latest commit message Latest commit date
AnimateDread 1baa13c5b4 refactor(meta): remove meta-labeling entirely - RETRAIN-NEUTRAL
~2,300 lines. META had real, repeatedly measured ranking skill and ZERO
operating points that ever cleared break-even (0/350 H1 eras, 1/999 H4
pre-2-sigma, 0/8 pooled fitted points). The clinching arithmetic was edge x
width = 0.095 ATR/trade against spread 0.099 ATR/trade, and the
dose-response showed the high-conviction tail is temporally unstable -
the precision-vs-threshold slope flips sign between calib and test on 3 of
4 symbols, so no ex-ante threshold rule exists. It shipped default-off and
never gated a live entry. The self-measured tier weights are what actually
rank the vote, and all six H4 instruments converged on them alone.

RETRAIN-NEUTRAL, and that is the property that made this safe:

  - The weights fingerprint emitted "|TGT:META2" or "|TGT:SWG1" from an
    if/else. Every direction model already took the SWG1 arm, so
    collapsing it to an unconditional append is byte-identical. No .nnw or
    .cfg is orphaned or re-keyed.
  - NetInputWidth() lost its "+ MetaDescWidth()" term. MetaDescWidth()
    returned 0 for every direction model, so the input layer is unchanged.
  - DbLegacyAiSlot()'s slot 5 was reachable only with all four Use_* NNs
    off AND meta on - a config that never shipped. Every existing .db keeps
    its filename.

Deleted outright: Signals/SignalMETA.mqh, Expert/Trading/MetaGate.mqh (the
directory is now empty), Expert/Training/{MetaCorpus,MetaCandidateStore,
MetaFamilies}.mqh, Tests/Test_MetaFamilies.mq5, Meta_Labeling_Design.md.

Unwound in place, the delicate part: Training.mqh carried four
IsMetaTarget() branches whose else-arm WRAPPED the direction body (pass 1
queueing, pass 2 backprop, pass 2.5 calibration, pass 3 OOS scoring). Each
wrapper is removed and the direction body promoted back to its original
nesting - the bodies were never re-indented when the wrappers were added,
so the promoted code is byte-identical to what ran before META existed.
Also gone: the ensemble verdict's meta-veto replay and its
approved/vetoed/unscored counters, the per-family/per-side OOS
decomposition arrays, the m_isTrainQueueCand parallel queue and its
lockstep shuffle, and the S2 era report.

Also removed: the CMetaGate abstraction and the live CheckOpenPosition
veto; m_gates plus AddFilter's non-voter routing and IsVotingSignal()
(META was the only non-voting child, so m_gates was always empty);
m_parentSignal/SetParentSignal (existed only to reach the root's gate);
SweepPrepare/SweepPrepareIndicator (only caller was the corpus sweep);
IsMetaTarget() from all four view interfaces and their adapters;
Use_MetaLabeling, EnableMETA, Meta_ExportDataset, m_trainTarget.

EvalShift is KEPT - HistoricalNetVote() uses it for the filtered overlay,
not just the corpus sweep; only its comment changed. The 2-output softmax
arm in NetForward.mqh is kept too: it costs nothing and is the reusable
binary-head path, now commented as unclaimed rather than as META's.

Compile-verified in _claude_stage: 0 errors, 0 warnings, matching the
pre-edit baseline.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-25 09:44:52 -04:00
..
AIBaseOnlineLearningView.mqh refactor(meta): remove meta-labeling entirely - RETRAIN-NEUTRAL 2026-08-25 09:44:52 -04:00
AIBaseOnlineLearningViewImpl.mqh refactor(meta): remove meta-labeling entirely - RETRAIN-NEUTRAL 2026-08-25 09:44:52 -04:00
IOnlineLearningView.mqh refactor(meta): remove meta-labeling entirely - RETRAIN-NEUTRAL 2026-08-25 09:44:52 -04:00
OnlineLearning.mqh refactor(meta): remove meta-labeling entirely - RETRAIN-NEUTRAL 2026-08-25 09:44:52 -04:00