Apama, the algorithmic trading and complex event processing division of Progress Software, is to offer a new product that combines data solutions provider Vhayu Technologies’ Vhayu Velocity enterprise tick data management system with the Apama Algorithmic Trading Accelerator.
The Algorithmic Trading Accelerator allows users to build, test and deploy customisable trading strategies. The combined offering enables firms to create trading strategies in the Apama product that use Vhayu’s historical data capture services to perform low-latency historical analytics.
“High-frequency trading applications need simultaneous access to both streaming market data as well as historical data in order to deliver the most competitive strategies,” said Dr. John Bates, founder and general manager of Apama. “With our Vhayu integration, both sell- and buy-side organisations can create algorithms whose logic spans both streaming and historical data. Those organisations can also backtest prospective strategies against the Vhayu repository to better predict results before going live in the market.”
Progress has also released a new version of its Progress Apama Complex Event Processing platform which includes an enhanced Parallel Correlator that utilises multi-core, multi-processor functionality. Progress said the Apama Parallel Correlator will deliver “significantly superior complex event processing performance” by providing developers and users with improved speed and greater event throughput, resulting in improved real-time visibility and operational responsiveness.
The Progress Apama platform supports a range of applications including algorithmic trading, market aggregation, smart order routing, pricing and market surveillance. Clients include J.P. Morgan, Deutsche Bank, ING and Bank of China.