Commodity Scenario
Simulator
Model price shock scenarios before macro events, supply disruptions, or earnings season. Select a commodity, apply a scenario, and see how the ripple effects propagate through related equities.
Before OPEC? Open the oil playbook →Select Commodity
Observed settlement path
Primary forecast path
Comparison model line
Comparison model line
Expected band, p10 to p90
Start with the preset shock, confirm the forecast direction, then read industry impact first and upgrade to company sensitivity only when company-level exposure matters.
Forecasts are probabilistic. Consensus combines Chronos-2 and TimesFM 2.5, with p10–p90 ranges and model comparison. Research only. See methodology
Free shows the move, forecast direction, and sector-level pressure. Pro matters when you need named winners, losers, and conviction before you act.
Run the scenario, verify model agreement, then name the actual winners and losers before the market fully reprices.
If you want event odds, ripple ranking, stress tests, hedge ideas, explainability, anomaly detection, and a trust-first policy decision console, open Intelligence Lab.
Is this commodity shock worth acting on now?
Select a commodity and scenario to translate the move into a workflow.
Impact tornado
Ranks the sectors with the largest scenario-adjusted pressure or upside, so the first downstream read is obvious.
Scenario compare
Compares preset and geopolitical drivers by relevance, not just raw magnitude, so active shocks stand out.
Decision gauge
Readiness updates after each commodity or scenario change.
Forecast cone
Shows the public path, downside, and upside band so confidence is visible instead of implied.
Event timeline
Turns preset scenarios into an event beam so the active catalysts read like a sequence, not a flat checklist.