Automate investment research
Automate the research, keep the audit trail and the exceptions
Automation earns trust by showing what it could not do. Each run below lists its input, the sources it retrieved, the output it produced, and then the exceptions it raised: contradictions between sources, stale evidence, missing conditions, unresolved entities, and anything held for human review. A run with no exceptions is rare and is not treated as a better run.
As of 2026-08-19 00:49Z·Methodology mo-seo-2026.07·Reviewed by Market Ontology Research
Runs
Input
USDMXN spot 2.53σ below 60d mean
FX · event 2026-08-19 00:00Z
Generated output
Spot trades -2.53σ from 60d mean. Bias: upside potential.
Mechanism: Rate differential (15%) → Fair-value gap (30%) → Carry (5%) → Event catalyst (5%)
Instruments resolved
USDMXN
Confidence 90 · dislocation 0
Human review state
Auto-published under the current threshold, reviewable and revocable.
Exceptions raised by the automation
No exception was raised on this run. Sources agreed, the mechanism completed, entities resolved uniquely, and conditions were extractable.
Methodology
Exception derivation. Exceptions are computed from the record, not authored. A run missing an invalidation condition raises one whether or not anyone looks at it, so this page cannot quietly become a highlight reel.
Contradiction handling. When sources disagree on a material fact, the run records both and refuses to pick, rather than averaging them into a confident sentence.
Confidence thresholds. Runs below the auto-publish threshold are held for human review. The threshold is a versioned operating value, not a claim about correctness.
Limits. Automation compresses the retrieval and structuring work. It does not replace judgement about whether the mechanism is the right one.