About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

big xyt Releases Cloud-Based Tick Data Hub with API Access

Subscribe to our newsletter

big xyt has released a cloud-based tick data hub designed to provide trading firms with access to tick data and analytics through a single application programming interface (API). Bats has signed up as the first xyt hub exchange partner and will offer tick data to end clients for algo back testing and analytics.

The hub follows the July 2017 introduction of the company’s Liquidity Cockpit, which provides trading firms with enhanced visibility over dark and lit liquidity. It includes both data-as-a-service and analytics-as-a-service functionality and is capable of managing tick data with nanosecond precision and providing market-by-order granularity. Data quality is also key, along with the ability to respond quickly to client requirements for new datasets.

Robin Mess, CEO at big xyt, explains: “The xyt hub brings together data consumers and data producers. Exchanges produce raw data and derived data, and data vendors produce normalised data.” The xyt hub collects raw data from exchanges, the first being Bats, which connects directly into the hub via the API. Normalised data is sourced from a partnership with Activ Financial, which provides data from over 100 trading venues. There are plans to integrate with more data vendors and another exchange is expected to come onboard shortly.

Alex Dalley, co-head of sales at Bats Europe, says: “The xyt hub is an additional distribution channel for our pan-European market data.” xyt is offering free access to Bats datasets up to a usage limit in line with the exchange’s policy. Users running extensive algo testing against the data will be charged a usage fee.

Use cases of the hub include best execution under Markets in Financial Instruments Directive II (MiFID II) as it allows firms to compare data across venues. Other use cases of the data-as-a-service portion of the hub include algo development, testing and optimisation to improve execution performance. The analytics-as-a-service portion provides analytic functions, including effective spreads and market impact analysis.

Mess says the xyt hub will initially be attractive to smaller trading firms that can’t afford internal IT and need a cost-effective tick data solution, although he does foresee larger clients signing up at a later data. A handful of firms in the US and Europe, including market maker RSJ Securities, are using the hub, with firms in the Asia-Pacific region expected to follow suit.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Complex Sanctions Environment Demands Powerful Screening Monitors: SIX Report

Sanctions screening technology has never been more important for financial institutions as new geopolitical and economic threats create the riskiest trading environment in recent history. That is the key finding of a new report, that highlights the need for greater resilience among organisations to the raised threat level faced by the global financial system. In...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...