Originally published on big xyt
London: big xyt, the independent provider of smart data and analytics solutions to the global trading and investment community, is pleased to announce that Equiduct, the pan-European equities and ETFs exchange, has implemented big xyt’s Liquidity Cockpit to gain new insights into the pan-European liquidity landscape and the quality of execution achieved via Equiduct’s Apex service.
The project implementation was recently completed and already Equiduct are seeing the benefits. big xyt’s completely independent data analytics enables Equiduct to showcase the unique strengths of their market model, where they can demonstrate better and deeper liquidity, as well as monitor the performance of the market and ultimately continue to improve their value proposition.
The project scope included the delivery of the Liquidity Cockpit, big xyt’s flagship product for security analytics, which provides an independent, consolidated view of trading activity to reflect the ongoing changes of market structure, along with an additional nine customised metrics.
Matt Stupple, CTO at Equiduct, commented: “The quality and breadth of the Liquidity Cockpit data analytics platform, along with the industry expertise and support they provide, has meant that we are using independent data to better understand the pan-European market landscape in which we operate. These insights enable us to demonstrate our competitive edge in a more pragmatic way, giving direct proof points to our clients and helping us attract more business to our trading venue.”
Richard Hills, Head of Client Engagement at big xyt, said: “We’re pleased to add Equiduct onto our growing list of international exchange clients, which is continued evidence of the market’s need for innovative data analytics solutions to deliver tangible benefits for the industry. Banks, asset managers, exchanges and market participants across the globe consistently rely on big xyt as an independent reference for equity market structure, illustrating our ability to deliver a strong and transparent platform to our clients.”
About big xyt
big xyt provides independent smart data and analytics solutions to the global trading and investment community, enabling firms to process and normalise large data sets on demand and in real time, in order to analyse execution performance, comply with regulatory standards, and reduce the complexity and costs of technology and operational requirements.
big xyt’s clients include major global investment banks, asset managers, leading exchanges, trading venues, ETF issuers, and regulatory bodies.
Navigating fragmented markets remains a challenge for participants needing easily digestible information on trading analysis. The big xyt analytics platform responds to these market challenges, and provides clients access to transparent, accurate and normalised data.
big xyt has created a global ecosystem for tick data analytics covering more than 120 trading venues, across Equities, ETFs, FX, Futures and Options. Their unique technology normalises trade conditions of venues allowing consistent aggregations of trading volumes, comprehensive analysis, and delivery of results in a flexible and customisable format.
The Liquidity Cockpit, big xyt’s flagship product for security analytics, put the firm on the map as an independent reference for equity market structure and has also been a building block for more accurate benchmarking of global execution strategies. big xyt’s Open TCA (trading cost analysis) platform for execution analytics is redefining independent analysis with optimal flexibility for the user.
big xyt’s innovative analytics solutions are relevant for a broad range of use cases including strategy development, performance trends and analysis, back testing, quantitative research, and regulatory changes. The platform delivers information through a convenient and interactive user interface, and can be easily connected to their cloud-based platform via APIs.
big xyt is wholly owned by its founders and employees, which means there is no conflict of interest when evaluating execution needs or analysing performance.
For more information on big xyt, please visit: https://big-xyt.com