09 Feb 2026
Horizon closed: realised return recorded against the simulated intent.
Out-of-sample, cost-aware, merge-gated
Research decisions where promotion depends on held-out evidence, not on in-sample fit.
Evidence
Distributed training merges candidate parameters across shards, then evaluation compares the candidate against the baseline on the same sealed out-of-sample cases. Promotion requires beating the floor after deflation; in-sample fit alone can never promote a candidate.
Gates
Gates are evaluated before a decision is emitted, not at execution. A run that cannot clear one ends in a reasoned abstention or a rejected candidate instead of an effect.
Limits
These are contract lines rather than caveats: the module has no path that requests them, in any configuration, on any surface.
LimitProduct-wide, in every module
Worked sample run
An illustrative sample from this module, with the charts reading the numbers the run reports. The values are samples, and no production run exists yet.
Four training shards merged, the candidate cleared the out-of-sample floor after deflation, and the resulting position intent was simulated.
belief
Recorded gradient model v1.9.0 — Per-name scores aggregated to a single portfolio-level belief with interval.
believed against observed, sealed holdout
evidence admitted
mandate checks
Objective: Research decisions with a hard capital-risk ceiling
authority expires 30 Jun 2026, 00:00 UTC
decision
DecisionAdmitted under mandate
The merged candidate beat the baseline out of sample, coverage cleared the floor, and the position intent stayed inside the capital-risk ceiling.
effect and settlement
run fingerprint sha256:9db2170c…4e18replay deterministiclive:false
Illustrative worked example. Field names match a real run receipt; the values are samples, and no production run exists yet.
09 Feb 2026
Horizon closed: realised return recorded against the simulated intent.
Next steps
Read the contract, run the loop, then read what the run recorded.