Field Programmable Gate Array (FPGA)

NovaSparks, Thesys Ally for Accelerated Data

French FPGA feed handler and data platform provider NovaSparks and New York-based Thesys Technologies, a provider of low-latency data, trading and risk solutions have integrated their offerings so mutual clients can apply the performance gains of…

Nanospeed Adds FPGA Eurex Data Support

London-based startup hardware provider Nanospeed has added support for the T7 trading architecture utilized by Deutsche Börse’s Eurex derivatives market to its FPGA-accelerated Nano-TG ultra-low-latency trading gateway for futures and options markets,…

S&P Real-Time Debuts FPGA OPRA Feed

The Real-Time Solutions division of S&P Capital IQ (formerly QuantHouse, prior to its acquisition by S&P in 2012) has unveiled QuantFeed FPGA for OPRA, a hardware-accelerated version of its consolidated datafeed that delivers additional processing power…

Invea Bows FPGA Data, Trading Appliance

Invea-Tech, a provider of hardware acceleration technologies based in Brno in the Czech Republic, has released an FPGA (field-programmable gate array)-based trading system, TradeCope, which combines software management with hardware for handling market…

National Bank Financial Deploys NovaSparks FPGAs

Canadian investment bank National Bank Financial, a subsidiary of the National Bank of Canada, has rolled out French data technology provider NovaSparks' FPGA Matrix feed handler framework─which delivers deterministic "wire-to-memory" and order book…

Nanospeed Readies FPGAs for Asia, Europe

London-based startup hardware provider Nanospeed, which this week launched its Nano-TG ultra-low-latency trading gateway for US equities and options markets, is now developing support for a number of additional Asian and European markets in response to…

Latency Hardware: Threading the Needle

From proprietary field-programmable gate arrays (FPGAs) to flexible kill switches, North American Trading Architecture Summit panelists say good strategy always fits the right hardware to purpose.