big xyt launches xyt hub for tick data analytics
September 14, 2017

big xyt, an independent provider of high volume, smart data and analytics capabilities, reports the launch of big xyt hub. It says that advances in algo development, testing and optimisation, transaction cost analysis (TCA) and regulatory reporting are increasing the demand for robust, independent data and analytics. With the big xyt hub, trading firms and exchanges can immediately access tick data and analytics, without costly investment into in-house data infrastructure and storage, technology capable of managing tick data with nanosecond precision and market-by-order granularity, or indeed additional staff.

The company says the xyt hub Data-as-a-Service functionality allows users to access and visualize raw exchange data, normalized data and reference data via a web interface or API (applied programming interface), integrating with any downstream system or programming environment. Users can develop algos using any methodology including Artificial Intelligence and deep learning.

Furthermore, they can test and optimize algos in order to improve both execution performance and profitability. Designed to process both historical and real-time data, the Data-as-a-Service offering includes an engine for real-time processing to meet specific user needs. Data can be viewed through flexible business functions, like custom snapshots, auction phases or order book replay. 

The xyt hub Analytics-as-a-Service functionality enables users to leverage shared analytics functions provided by big xyt, including effective spreads and market impact analysis. The customization service allows trading firms to develop bespoke business requirements, such as back-testing, TCA, derived market data, and regulatory reporting. 

Together, the xyt hub Data-as-a-Service and Analytics-as-a-Service enables clients to focus on their core business, avoid operational complexity and reduce total cost of ownership. The xyt hub is the only solution that provides API access to tick data from varied sources via a common interface, full market depth, time stamps with nano-second precision, access to normalized data and raw data, and a customization service for analytics.

Alex Dalley, Co-Head of Sales, Bats Europe said: "As a market operator, we welcome the big xyt's hub as an additional distribution channel for our pan-European market data. The xyt hub makes all our tick data available immediately to existing and future clients for a variety of use cases including algo development and testing."

Robin Mess, CEO, big xyt commented: "Requirements for algo testing, TCA (transaction cost analysis) or regulatory reporting have increased the demand for independent data. We welcome all collaborations to ensure we continue to improve our products as we expand our customer base."





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big xyt, an independent provider of high volume, smart data and analytics capabilities, reports the launch of big xyt hub. It says that advances in algo development, testing and optimisation, transaction cost analysis (TCA) and regulatory reporting are increasing the demand for robust, independent data and analytics. With the big xyt hub, trading firms and exchanges can immediately access tick data and analytics, without costly investment into in-house data infrastructure and storage, technology capable of managing tick data with nanosecond precision and market-by-order granularity, or indeed additional staff.

The company says the xyt hub Data-as-a-Service functionality allows users to access and visualize raw exchange data, normalized data and reference data via a web interface or API (applied programming interface), integrating with any downstream system or programming environment. Users can develop algos using any methodology including Artificial Intelligence and deep learning.

Furthermore, they can test and optimize algos in order to improve both execution performance and profitability. Designed to process both historical and real-time data, the Data-as-a-Service offering includes an engine for real-time processing to meet specific user needs. Data can be viewed through flexible business functions, like custom snapshots, auction phases or order book replay. 

The xyt hub Analytics-as-a-Service functionality enables users to leverage shared analytics functions provided by big xyt, including effective spreads and market impact analysis. The customization service allows trading firms to develop bespoke business requirements, such as back-testing, TCA, derived market data, and regulatory reporting. 

Together, the xyt hub Data-as-a-Service and Analytics-as-a-Service enables clients to focus on their core business, avoid operational complexity and reduce total cost of ownership. The xyt hub is the only solution that provides API access to tick data from varied sources via a common interface, full market depth, time stamps with nano-second precision, access to normalized data and raw data, and a customization service for analytics.

Alex Dalley, Co-Head of Sales, Bats Europe said: "As a market operator, we welcome the big xyt's hub as an additional distribution channel for our pan-European market data. The xyt hub makes all our tick data available immediately to existing and future clients for a variety of use cases including algo development and testing."

Robin Mess, CEO, big xyt commented: "Requirements for algo testing, TCA (transaction cost analysis) or regulatory reporting have increased the demand for independent data. We welcome all collaborations to ensure we continue to improve our products as we expand our customer base."



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