Arcontech is the leading provider of real-time market data management solutions.
With multi-source data collection, value added processing, publishing, distribution and display, Arcontech provides a highly performant, cost effective and flexible alternative to traditional market data infrastructure.
Clients include Global Tier 1 and Tier 2 financial market participants along with key market regulators.
A fast, flexible, reliable and scalable real-time platform with connectivity to Bloomberg, TREP and other data sources and destinations. CityVision can streamline, add flexibility and reduce the cost of your market data operations, whilst complementing, replacing and cross connecting existing infrastructure.
High performance, vendor-independent solution for controlled, simultaneous real-time contributions to multiple destinations including Thomson Reuters and Bloomberg. Reliable and resilient with dynamic configuration and advanced bandwidth optimisation, mapping and data quality control.
Publish and subscribe to multiple sources and destinations via CityVision or direct connect to TREP, Bloomberg and other data sources and destinations. Share market sheets and derived prices internally or with clients. Full support for records, chains and pages, including full colour ANSI broker page pop-out displays.
A high performance, reliable cache with a calculation engine and options for data transformation, page shredding and the ability to connect across platforms.
Relay provides a means to connect market data between business locations and users by connecting one RMDS/TREP backbone to one or multiple others, providing complete flexibility across your global market data network.
CityVision Symbol Mapper allows Market Data Managers to separate data integration from the data source, the solution empowers an organisation to select their market data independently of the connecting application.
Arcontech’s CityVision API facilitates fast and efficient development of real-time market data applications. Simple and elegant, one line written under the API can equate to as much as four pages of underlying code.