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  • Exegy Couples Embedded Ticker Plant And Data Feed Products

    Date 03/11/2014

    Exegy Inc., a premier provider of market data normalization and distribution solutions, has released a new version of its Trading Application Platform (TAP) product that allows customers to leverage the Exegy Data Feed for operational resiliency and access to broader content.  “By coupling our embedded ticker plantand consolidated feed products, we have the ability to provide the best of both worlds,” says chief technology officer David Taylor.  Launched by Exegy in January of 2014, TAP is an embedded ticker plant product that normalizes direct market data feeds on the same server that hosts a trading application.  TAP delivers subscribed-to updates to applications written to the Exegy Client API (XCAPI) with single-digit microsecond latencies.  The Exegy Data Feed delivers normalized market data to globally deployed applications as a “data anywhere” service.  This normalized market data is derived from direct market data feeds for the US equities, options, and futures markets.  Exegy now provides a connection to the Exegy Data Feed for every deployed instance of TAP.  “The offering provides a compelling combination of speed, efficiency, flexibility, resiliency, and breadth of content,” adds Taylor.

  • CME Super-Fast Hardware Acceleration For Market Risk By NanoSpeed

    Date 03/11/2014

    NanoSpeed, the provider of ultra-fast FPGA solutions to the trading community, today released its latest Nano-Risk FPGA for the CME. With a latency of sub 60 nanoseconds the product is the new benchmark for fastest pre-trade risk checks. Nano-Risk is fully compliant with CFTC’s Concept Release on Risk Controls and System Safeguards for Automated Trading, SEC’s 15C3-5 regulation and ESMA’s guidelines on automated trading.

  • Singapore Fixed Income Indices (SFI) Weekly – 3 November 2014

    Date 03/11/2014

    Key highlights for the week ending 31 October 2014

    • The SFI lost 0.23% to 119.40.
    • YTD, the SFI currently outperforms the STI by 0.41%.
    • The SFI posted its first weekly loss after five consecutive weeks of gains. Government bonds (SFI Government Bond Index) largely led the decline, losing 0.29%
    • Despite last week’s decline, monthly performances of both the SFI and SFI Government Bond Index in October were the strongest thus far in 2014, with the indices up 0.96% and 1.27% respectively.
    • YTD, corporate financial issuances continue to be one of the SFI’s strongest performing segments. Corporate financial issuances (SFI Financial Bond Index) are up 4.57%, outperforming both the broader SFI and SFI Corporate Bond Index.

  • S&P Capital IQ™ To Become A Strategic Source Of Real-Time Market Data And End-To-End Connectivity For GlobalView’s MarketView Data Management Solutions

    Date 03/11/2014

    S&P Capital IQ, a business unit of McGraw Hill Financial (NYSE:MHFI) and a leading provider of research, analytics and data, today announced it had signed an agreement with GlobalView, one of the world’s largest sources forenterprise-wide, market data solutions for the energy and commodity industries, to deliver a comprehensive market data and network infrastructure solution.  Among the services S&P Capital IQ will provide access to more than 25 real-time and delayed market data feeds, end-to-end fully redundant network management, and professional services required to integrate the S&P Capital IQ feeds into GlobalView’s existing data management infrastructure, speeding time-to-market.   

  • JSE Announces Winners Of 13th Annual Spire Awards - Excellence In South Africa’s Fixed Income, Currency And Commodity Derivatives Markets

    Date 03/11/2014

    The JSE announced the winners of the 13th annual Spire Awards – recognising excellence in South Africa’s fixed income, currency and commodity derivatives markets – at a gala dinner last night. ABSA Capital emerged as the overall winner and was crowned as the Best Fixed Income and Currencies House. Rand Merchant Bank and Standard Bank took second and third place respectively.

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