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 →Pick commodity, shock, horizon
One-click preset or custom ±σ, magnitude, and universe. Everything below adapts to your choice.
Price · forecast · propagation
Scenario fan chart, impact ladder, and sector pressure all render on the same stage so you read the move once.
Named names · triggers · alerts
Most exposed assets, likely winners, pressure points, and alert triggers — Pro unlocks the named layer.
Forecast → RL policy → stock-level translation
The simulator is where the model story becomes useful: take the forecast range and RL policy action, then test which sectors and names become exposed under the commodity shock.
Start with direction, interval, and model agreement.
Use historical replay / walk-forward scoped action probabilities.
Pro matters when sector pressure is not enough and stock-level conviction matters.
Your scenario preview is built
The simulator shows the public commodity path and first-pass sector pressure. That is enough to validate whether the shock matters.
Pro adds the company sensitivity layer, deeper scenario comparisons, saved workflow context, and stock-level decision translation.
Historical replay and scenario output are research context, not a return guarantee or investment advice.
Select Commodity
Observed settlement path
Primary forecast path
Comparison model line
Comparison model line
Expected band, p10 to p90
You already have a saved workflow. Re-open the live hub, then verify the scenario against your saved watchlist before the market reprices.
Start with the preset shock, confirm the forecast direction, then read industry impact first and upgrade to company sensitivity only when naming the trade matters.
Forecasts are probabilistic. Consensus combines Chronos-2 and TimesFM 2.5, with p10–p90 ranges and model comparison. Not investment advice. 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.
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.