Vhayu, a streaming tick processing and persistence software provider, has launched a new version of its Velocity analytics software – Velocity for Quantitative Research (VFQR).
VFQR captures real-time data and feeds it directly into the Velocity Analytics Engine, allowing researchers to access real-time and historical data requiring analysis. Additionally, an open source data mapping and loading application enables large datasets to be loaded from existing files. VFQR includes standard Velocity functionality and provides multi-asset class support.
According to Vhayu, VFQR gives financial firms greater flexibility and control over the technology they use for quantitative analysis. The Velocity Analytics Engine is tightly integrated with the industry standard R package for statistical analysis.
As well as helping quant researchers manage rising data volumes, Vhayu says Velocity reduces the time it takes to develop new strategies and bring them to market by eliminating the need for data translation. The firm adds that Velocity facilitates efficient back testing, and features a data browser and bulk data loader for data maintenance.
“Until now, many customers have used proprietary time series analytic languages to do analysis on large volumes of tick data,” says Jeff Hudson, CEO, Vhayu. “At the urging of our customers, we have embraced the open source R language. Now customers can use open source time series language that just about every university graduate knows how to use, instead of licensing costly proprietary languages.”