Live Forecast Engine

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 →
One-tap presets Pick a typical shock to load commodity, magnitude, and recommended follow-up in one click.
Fastest workflow
Select the commodity → apply the base shock → read the downstream sector pressure and likely follow-through.
Chronos-2 + TimesFM methodology →
Use before OPEC, WASDE, Fed, or earnings-linked commodity shocks.
Free = sector direction and model context. Pro = stock-level names and deeper workflow.
High-intent event entry points
Before OPEC → oil workflow Before WASDE → grains workflow Before Fed → metals workflow
Step 1 · Select commodity

Select Commodity

Step 2 · Apply baseline shock
Select a scenario to view analysis
Historical prices + consensus forecast with Chronos-2 and TimesFM comparison
History
Observed settlement path
Consensus
Primary forecast path
Chronos-2
Comparison model line
TimesFM 2.5
Comparison model line
Consensus range
Expected band, p10 to p90
Saved workflow context
Scenario preview is ready now. Save a watchlist later to personalize company exposure and follow-through.
Build your workflow once, then use CommodityNode as a faster daily decision surface.

You already have a saved workflow. Re-open the live hub, then verify the scenario against your saved watchlist before the market reprices.

Saved role
Choose a role to personalize
Saved commodities
Use a preset or pick a commodity
Watchlist
Add tickers to map exposure
Freshness
Ready to attach
Decision workflow

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.

1. Set the base shock Choose the preset that matches the macro or supply story you actually care about.
2. Check model agreement Read consensus, Chronos-2, and TimesFM together before trusting one line in isolation.
3. Translate to exposure review Use sector direction first, then unlock stock-level sensitivity 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

Model stack Chronos-2 + TimesFM 2.5 + no-harm routing Production consensus chooses the route that held up better in holdout checks.
Benchmark basis 5Y · 30D · 8 windows Weighted-score evaluation with best-context comparisons before promotion.
Scenario use Stress test, not prophecy Use the chart to compare paths and exposure, not to pretend precision is certainty.
Where the free workflow stops

Free shows the move, forecast direction, and sector-level pressure. Pro matters when you need named exposure, pressure points, and conviction before you document a review.

Best use of Pro

Run the scenario, verify model agreement, then name the actual helped and pressured exposures before the market fully reprices.

Unlock stock-level decision workflow
New premium layer

If you want event odds, ripple ranking, stress tests, hedge ideas, explainability, anomaly detection, and a trust-first policy decision console, open Intelligence Lab.

Outcome summary
Run a baseline or event scenario to see likely helped/pressured names and the confidence-sensitive read.
Watchlist relevance
Save a watchlist to see which names line up with this commodity shock.
Build watchlist
Current Price
Latest verified snapshot
Latest verified feed
30-Day Consensus
30D ready
Scenario guarded
90-Day Consensus
90D ready
Consensus guarded
Use Pro for stock-level exposure, pressure points, and deeper scenario translation after the forecast read.

Is this commodity shock worth acting on now?

Select a commodity and scenario to translate the move into a workflow.

Decision frames route the workflow; they do not automate decisions.

Shock transmission map

Shows commodity → sector → company/watchlist flow as Research review only. Free keeps the sector path visible; Pro unlocks deeper company sensitivity.

  1. Commodity shock
  2. Sector pressure/helped exposure
  3. Company sensitivity rows

Impact tornado

Ranks the sectors with the largest scenario-adjusted pressure or upside, so the first downstream read is obvious.

Scenario exposure heatmap

Heatmap shows commodity shock intensity across sector and company exposure buckets. Research review only; it highlights where to investigate, not what to buy or sell.

Rows: sector / company groups · Columns: baseline, active shock, 30D, 90D.

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.

Geopolitical Scenarios
Toggle real-world events to model price impact
Industry impact
Read this as the first downstream translation layer: which sectors absorb the move, which ones benefit, and where cost or margin pressure shows up first.
Sector-first view
Company sensitivity
Upgrade when you need stock-level helped/pressured exposures and beta-sensitive names instead of sector-level direction only.
Pro surface
NameScenario sensitivityAccess
Sector proxy basketVisible sector-level exposureFree
Top public sample rowIllustrative beta sensitivityFree sample
Full company sensitivity tableMasked until research accessUnlock research rows
Invalidation and export notesMasked until research accessPro locked

Unlock the names most exposed to this scenario

See which stocks are most exposed to this commodity shock, with historical beta sensitivity and the conviction layer you need before the market fully reprices.

Unlock stock sensitivity — start Pro →
Need team seats, exports, and alerts? Running this every Monday with a desk? Request a sample export.