We analysed 314,626 historical events spanning 40 years. Analyse how asset classes reacted under stress, policy shocks, and structural shifts. No predictions. Just cold, empirical evidence.
Our semantic pattern-matching model extracts the logical blueprint of today's breaking alerts and surfaces the most statistically correlated historical events.
"Suez Canal Shipping Transit Restricted due to Regional Blockade"
"Federal Reserve Enacts Unscheduled 50bps Emergency Rate Reduction"
"Major Petro-Exporter Announces Sudden Export Quota Cutback"
Veille catalogues occurrences according to strict structural profiles, ensuring metadata is comparable over forty years.
Don't trust narrative forecasting. Look back at equivalent market configurations across our 40-year event ontology.
"History does not repeat, but it rhymes."
By aligning 10,000+ historical macro news alerts with immediate asset pricing, we isolate exact trends and behaviors that happen when consensus fractures.
We track 1,280 Central Bank emergency decisions. Compare rate cuts, surprises, and unscheduled press conferences across historical yield curves.
Review how freight rates, shipping corridors, and raw bulk commodities pricing behaved during structural canal restrictions or military manoeuvres.
Empirical response curves for debt ceiling resolutions, ratings downgrades, and unexpected national infrastructure allocations.
Trace modern agricultural or energy sanctions directly back to the supply disruptions of 1990, 2004, and 2011 with mapped pricing curves.
Median moves are measured against a placebo window of comparable non-event days, so a reaction only counts when it exceeds ordinary noise.
Reverses within five sessions in 61% of matched geopolitical precedents.
Steepening dominates whenever the shock originates in fiscal policy.
Concentrated in the first ninety minutes after the wire crosses.
The slowest to mean-revert across all five taxonomy branches.
Stop trading based on qualitative narratives. Gain institutional access to forty years of parsed macro precedent data joined with tick-by-tick pricing curves.