Event Study Library
Build a reusable library of historical market reactions around recurring catalysts like OPEC, WASDE, supply cuts, weather shocks, and macro pivots.
The live decision read
Event Study Library packages historical reaction patterns into a searchable decision tool. It also creates SEO-friendly, premium-worthy pages that can compound both traffic and conversion over time.
Use the current commodity snapshot to decide whether the watchlist exposure needs research review.
A fresh price reversal, model disagreement, or catalyst miss would move this workflow route back to watch-only.
Users ask the same question every event cycle
Before every major catalyst, users want the same thing: what happened last time, what tends to move first, and how fast does the reaction spread?
Turn recurring catalysts into reusable IP
Event Study Library packages historical reaction patterns into a searchable decision tool. It also creates SEO-friendly, premium-worthy pages that can compound both traffic and conversion over time.
Preview the module on a live commodity
This workspace uses the current CommodityNode data stack and your saved workflow context so each product page behaves like a live decision-support surface instead of static brochure copy.
State vector → scenario candidates → replay evidence → review signal
Watch the active commodity move through a visible research workflow: state pressure enters the model, scenario candidates compete, replay evidence pushes back, and the review signal resolves in the center.
Current scenario snapshot ready
The decision console opens with the latest verified scenario signal, confidence, and baseline comparison, then refreshes when live model data is available.
How reliable is this scenario signal right now?
Freshness, stability, guardrails, and policy readiness are visible before a team uses the signal in a decision-support workflow.
What state is the model seeing right now?
Expose the live scenario context, state pressure, profile governance, and baseline comparison in one board so the user can audit the setup before deeper review.
See policy pressure moving across the action space
This field turns scenario-response probabilities into a living motion surface so the model feels like an active decision-support engine instead of a static table.
How does the scenario response compare with baseline policies?
Show hold, offline, PPO bootstrap, and Neural PPO side-by-side so the user can see whether the workflow route is actually better than the current baseline.
| Policy | Action | Confidence | Replay reward | Replay uplift | Walk uplift | Verdict |
|---|
Which policy survives across the full commodity basket?
Rank the active policies on the same five-commodity slate, then show the weakest commodity explicitly so the workflow route is backed by evidence instead of average-case optimism.
What is driving the current action?
Explain the strongest positive and negative drivers, then ground the workflow route with simple reason codes and comparable historical states.
What would flip this decision?
Explore how event risk, volatility, agreement, disagreement, and trend strength change the workflow route before a user commits to action.
What changed, and when?
Keep a timeline of workflow route events, profile selection changes, alerts, and replay evidence so users can audit the workflow route path instead of trusting a static score.
Operational readiness for this module
Latest decision snapshot available.
Fallback copy keeps the surface useful while live model data refreshes.
Open the linked workflow for the next decision step.
How users should read it
- Event window performance chart
- Sector / stock reaction cards
- Reaction lag map
- Best analogous past setups
What this helps decide
- Great SEO + paid conversion hybrid.
- High value for desks and serious users doing catalyst prep.
- Can be expanded commodity by commodity over time.
Data required
- Curated event taxonomy
- Historical commodity reactions
- Sector and name sensitivity history
- Report archive links
What Pro adds to the workflow
- Free: teaser event window
- Pro: selected studies
- Desk: full library, filters, exports
Choose the right access level for Event Study Library
Historical analog research is monetizable because it turns one-off report effort into a reusable paid research workflow.
One public analog card to show the concept without giving away the library.
Expanded historical reaction cards for the current commodity and catalyst set.
Searchable event-study library, exports, and reusable desk templates.
Research distribution, historical APIs, and proprietary event taxonomy support.
Quality standards for this module
- Anchor every study in concrete event windows.
- Tie every historical study back to the current setup.
- Build interlinking to reports, hubs, and simulator.