InfoDyne Corporation, a leading provider of ticker plant, trade/order processing, and middleware technology for algorithmic trading, today announced expansion of its TPS+Plus product line to include support for Bloomberg's PhatPipe data feed.
Following a full development cycle and standard release procedures, InfoDyne is now ready to install the new solution at customer sites.
By adding support for the Bloomberg PhatPipe feed to the TPS+Plus product family, InfoDyne continues to ensure that trading firms can freely choose the sources of data that best meet their business requirements. The solution will ensure full access to the wide range of data sources and types available over the PhatPipe feed, including all exchange, depth of book, proprietary and contributor data.
"We are very pleased to bring the Bloomberg PhatPipe feed to our clients and look forward to working with Bloomberg and our alliance partners to ensure a wide range of third party applications to further enhance the utility of the feed," said Dan Reinmund, InfoDyne's Senior Vice President for Sales.
TPS+Plus is an agnostic, robust, ticker plant solution designed to address the need for low latency, high-volume, market data. The system supports automated trading and desktop applications utilizing InfoDyne's direct access APIs and also integrates seamlessly within all other traditional market data platforms. It provides a robust set of features for the normalization, blending, and integration of direct exchange and consolidated feeds to provide global data coverage.
Supported by InfoDyne's proven Middleware Distribution Architecture, Middleware2, averaging latency of just 0.5 milliseconds at peak load, InfoDyne's TPS+Plus solution for Bloomberg PhatPipe can be used in a variety of configurations, from a single data server to a complete market data system. Underscoring some of the differences between simple "feed handlers" and other "appliances", InfoDyne's TPS+Plus provides for:
- Data Normalization to a common set of data models across all sources, so that applications don't have to know about differences between data sources.
- Current Cache to provide quality service levels ensuring that the current values for every instrument are available on-demand for a diverse range of applications.
- Value Added Fields calculated in real-time. Examples include: accumulated volume, highs, lows, opens, closes, net change, VWAP, etc.
- Data Blending to ensure that data from the exchanges can be supplemented within the servers by data from other sources, such as fundamental and reference information. Applications see a single record with all the fields they need.
- Single Namespace combines all feeds into a single virtual service to shield applications and users from having to know which feed supplies a particular instrument.
- Load-Balancing/Failover implemented through InfoDyne's Middleware Distribution Architecture ensuring a scalable solution and 365-day operation.
- Service Scaling allowing for the partitioning of processing among multiple server instances ensuring full throughput, the lowest possible latency, and unlimited capacity.
- Order Books including flexible data models and the ability to publish book data in multiple views including: individual and/or consolidated, full and/or partial aggregation, full and/or top-n price levels, etc.
- Managed Services provided through multiple monitoring capabilities accessible through a common administrative interface that can be operated locally and/or remotely in combination with InfoDyne's Managed Service Offering.
- Enterprise Gateways to seamlessly interconnect multiple market data environments (InfoDyne Middleware2, Reuters® Triarch, TIB, and/or RMDS).
- Multiple Operating Systems including support for Sun® Solaris, Linux, and Microsoft® XP.
"Giving customers a choice and delivering solutions is what it's all about. That's why, for over 14 years, we've focused on ensuring flexible, time-proven solutions that give our customers an undeniable market advantage and lasting solutions," said Guy Tagliavia, President and CEO of InfoDyne. "We are glad to be working with Bloomberg and we look forward or servicing our mutual customers," he added.