Define the event
Separate the observation window from the outcome. Specify what counts as a shock, a failure, or a change in regime.
Market & industrial event research
See the event.
Study the impact.
Event datasets for derivatives, liquidity, energy, and the real economy. Built around the questions your research needs to answer.
Independent research. Source context from Cboe and beyond.
The event lens
Volatility around an event
0DTE options / normalized profileIllustrative profile, not market observationsEvent-aligned research
12Specialist research
collections
collections
06Cboe-referenced
dataset concepts
dataset concepts
03Connected
research tracks
research tracks
The collections
Choose your
research question.
From an options shock to a congested port. Explore each collection's purpose, proposed fields, and source context.
Research approach
A signal needs
its context.
The event, the evidence, and the measurement belong together. Start there before you choose a model.
Trace the source
Keep original observations, source references, and derived features distinct. Check entitlements before delivery.
Make the question reproducible
Document fields, alignment assumptions, and the intended research use. Download the schema and carry it into your research brief.
Sources & scope
Market context.
Clearly attributed.
Six collections reference data types documented by Cboe DataShop. Crypto, energy, logistics, consumer safety, and industrial collections have separate source requirements.
This is an independent catalog of dataset concepts. Actual coverage, licensing, and availability are confirmed for each request.
Your research list
Start with a
clear question.
Select the collections you need. Add your intended use and download a brief to scope coverage, licensing, and delivery.