Learn more on www.dxfeed.com
Direct integration with liquidity providers
Devexperts, as a market data vendor, offers direct access to the leading financial data providers, such as OPRA, ISE, NYSE, NYSE AMEX and others, and can manage configuration and integration of your trading system with all market data feeds you need, including on-demand integration services.
Fast access to international markets
The direct access to the global financial market data is provided in our cross-platform API and in industry-standard FAST format. You receive US live and historical financial data in normalized package from Devexperts’ server collocations in Chicago and New York. Once the integration of one market data feed is complete, others could be naturally added to the landscape without extra efforts. We provide best bid and offer and Level II data feeds to enable complete view of the market for our clients.
Real-time market data distribution with minimum delays
Our proximity collocation with major options, futures, and stock market data providers and high performance data processing systems allow for direct distribution of live financial data from the feed with minimum delays.
Fully managed service – zero pain market data distribution
We handle all the required hardware, software, hosting and data channels, quality of service monitoring and 24x7x365 support. Helpdesk functional response is within 5 minutes since incident registration.
+6 years of high quality and reliability guarantee
The high quality of our market data distribution service is guaranteed inter alia by more than six years of successful development , implementation and maintenance of our products and services for the leading industry participants – GFT, thinkorswim Inc., Investools Inc., RTS Stock Exchange and many others, operating in the USA, Great Britain Japan, Russia and other countries.
High performance of data processing in real time
High-performance network and hardware infrastructure built to support the highly volatile market data inflow, utilizing the latest industry standards, such as FAST protocol, effective processing parallelization as well as proximity collocation with market data providers, ensures efficient real-time processing and minimum latency in data processing and delivery over the network. dxFeed components can also efficiently utilize the potential of hardware and achieve processing throughput of 1 000 000 messages per second on a mid-range 1U server.
Cost-effective integration capabilities
The service supports multiple connectivity models via an extensive list of operators, Internet providers, and major financial extranets. Special interface modules provide seamless integration of the messaging system core with different input data feeds without extra costs, while the feeds are integrated into one normalized feed delivered to the clients by subscription in standardized API.
Cross-platform technology and compatibility
All implemented client and server applications work seamlessly on the cross-platform Java technology and support Windows, MacOS, Linux, and Solaris platforms. The implementation of cross-platform technology, as well as standardized FAST API, allow for easy integration with the major data providers worldwide with minimum work for system configuration.
High quality technology
Our technology has been tested over time in different production configurations with tens of thousands of users per installation. The high quality of Pulsar service is ensured through high reliability of Devexperts program code and by the by the resilient crash-proof hardware configurations. The stress tests held by Barron’s Magazine proved the high reliability of our solutions that feature 99.99% yearly index of trouble-free operation including hi-volatility periods and peak load market events.
Scalable system with latency control
Our system is component based and could be scaled linearly along with the infrastructure as the demands for processing power grow over time. Our technology enables to control traffic in automatic and manual mode compensating for market data spikes without losing general performance.
