21 March 2018

Vhayu and StreamBase report RBC Capital Markets deployment

10 November 2008  |  4604 views  |  0 Source: Vhayu

Vhayu and StreamBase today announced that the technology partnership between their firms to enable the testing and deployment of trading strategies has resulted in success for their shared customer, RBC Capital Markets, which now benefits from the integration of the products to provide real-time and historical market data storage and analysis, and back-testing for trading strategies.

Vhayu Velocity provides a source to supply historical market data to back-test trading strategies implemented using the StreamBase Event Processing platform. Raw and aggregated time series data captured by Vhayu Velocity is fed into StreamBase as a way to identify and verify the most effective trading strategies from a historical perspective. The successful strategies can then be rapidly deployed in the live market using StreamBase. The result is a solution that combines StreamBase's ultra low-latency and high performance complex event processing (CEP) with Vhayu's enterprise class market data storage and analysis, allowing the testing of years of market tick data with very low-latency.

"The integration between Vhayu and StreamBase gives firms the flexibility, time to market, and performance needed in these volatile times," Vhayu CEO Jeff Hudson said. "Our StreamBase partnership allows firms such as RBCCM to rapidly devise algorithmic and quantitative strategies, which may require months to years of tick data to discover past patterns that may predict existing or future trading conditions without adding large amounts of latency."

"In their recent report, "The World According to Quants: Enter Alpha Generation Platforms", the AITE Group reported that certain trading algorithms have a shelf-life of less than 3 months," said StreamBase CEO Mark Palmer. "By partnering with Vhayu, we not only let firms like RBCCM get to market quickly with new algorithms, we help them stay ahead and evolve those strategies in days, rather than months or years required by custom development techniques."


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