A quant team
"Can we get analysis-ready data without building feed handlers?"
Yes - that is the point. Curated datasets, classified and corporate-action adjusted, ready for research the day they arrive.
The market, ready to use.
Curated microstructure datasets in your own infrastructure - no feed handlers, no reconciliation project, no engineering queue. Catalogue · excerpt xyt
| Dataset | Scope | Schedule |
|---|---|---|
| Market Share | Equities · global | Monthly |
| Volume Profiles | Equities · futures · options | Daily |
| Spread Capacity | Equities · global | Weekly |
| ETF Liquidity | ETFs · cross-listed | Intraday · T0 |
| Options Activity | Options · OPRA & EU | Daily |
| Your build | your spec | your schedule |
Standard catalogues · bespoke builds your format
Questions we answer
Start with yours.
A data operations team
"Will it arrive reliably, in a format we can load?"
Intraday to monthly - on a schedule you can plan around, in the format your pipeline expects. If your spec differs, we adjust to it.
A researcher
"Can we work on the full history in our own tools?"
Yes - as files in your stack, in the platform, or programmatically. The same numbers everywhere.
The catalogue
Four asset classes, one convention.
Standard catalogues per asset class, bespoke builds when your question needs one - and always in the format your pipeline expects.
Global equities
Global coverage, every trade classified by mechanism, harmonized to one convention.
Global ETFs
Cross-listings consolidated, creation-redemption context included.
Listed futures
Intraday profiles and volumes across the major listed markets.
Options
OPRA and European listed options - contracts, volumes, activity.
Market share · by mechanism
Who trades where, venue by venue · illustrative
Volume profiles · intraday
When liquidity really shows up · illustrative
Spread capacity · by size
What size really costs, per name · illustrative
Delivery
Consume it your way.
The same datasets, the same numbers - as files, in the platform, or programmatically.
As files
Into your stack
CSV or Parquet via SFTP, cloud or email - on a schedule you can plan around, in the format your pipeline expects.
In the platform
Behind the dashboards
The same datasets power the platform - check any delivered number against its source, one click away.
By API
Programmatically
The xythub Python API for research and automation - explore in xyt Lab, then schedule what earns a place in your pipeline.
And when a file cannot answer it.
xyt Lab is a hosted notebook environment on the full record — everything reconciles: the notebook, the dataset and the platform show the same numbers, from the same methodology.
xyt Lab · notebook
xythub
from xythub import ApiSettings, get
bars = get(endpoint="volumeBreakdown",
symbols=["AZN.L"])
Real endpoints · volumeBreakdown · intradayProfiles
What would you like to understand?
Your venues, your mandates, your committee format - walked through with the team that built the methodology.