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

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

SEC’s 2026 Examination Priorities – 10 Notable Changes

The U.S. Securities and Exchange Commission (SEC) has released its Examination Priorities for 2026, and while many supervisory themes continue from 2025, the tone and structure of the new document reflect a decisive pivot. After years of rapid organisational expansion and broadening remit, the Division of Examinations is now emphasising consistency, prioritisation and the effective...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Risk & Compliance

The current financial climate has meant that risk management and compliance requirements are never far from the minds of the boards of financial institutions. In order to meet the slew of regulations on the horizon, firms are being compelled to invest in their systems in order to cope with the new requirements. Data management is...