CFirstPassageLadder (RungFor/StoreBar/FirstTouch/OutcomeR/WinShare),
CTripleBarrier+CLabelOverlap (ApplyMinStopWidening/ComputeLevels/SnapToLadder,
the label-overlap effective-sample-size correction), CMetaFamilies (the
classic-pattern taxonomy + table-naming rule), SGeometryScan::Reset() (guards
against 7452bd1's partial-reset shape recurring) and System/BinomialStats.mqh
(every deploy-gate/edge-floor formula this codebase shares). Each is a small
.mq5 Expert Advisor under Tests\ printing PASS/FAIL per assertion via
Print(), sharing Tests\TestHarness.mqh. All 5 self-compile-verified 0
errors/0 warnings. FirstPassageLadder.mqh/TripleBarrier.mqh expect
BARRIER_LADDER_COUNT/BARRIER_LADDER/BARRIER_HORIZON_LADDER_COUNT predefined
by their includer (normally ExpertSignalAIBase.mqh); the test EAs define
copies matching production values rather than including the whole AIBase
chain. SGeometryScan is reproduced verbatim from ExpertSignalAIBase.mqh for
the same reason, flagged in-file as needing to stay byte-identical.
Also adds Tests\convert_sample_data.py, which runs research/sqxbars.py's
decoder against a COPY of SP500_the5ers_H1.dat (never the SQX install
itself) so the operator has real sample data to point a manual tester run
at. Decodes structurally (52,542 H1 bars, monotonic, 0 high<low violations)
without calibrating a price scale - sqxbars.load()/sqx.calibrate_decimals()
both require a validated reference series to do that safely, which this
self-contained script does not have. Tests\sample_data\ (the raw copy +
decoded .npz) is gitignored, same policy as the existing Market Data/ rule.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
