S&P Capital IQ’s Real Time Solutions has released its automated trading platform, QuantFACTORY 5.3.2, which includes a number of new features designed to help strengthen its overall capabilities and performance.
Quant traders, researchers and developers at banks, hedge funds and prop desks will benefit from the firm’s QuantDEVELOPER, QuantDATACENTER and QuantFRAMEWORK offerings. These will enable them to build and deploy alpha models more rapidly, thus allowing them to further focus on business development.
QuantFACTORY offers a complete set of tools for the development and automation of quantitative trading strategies. Based on a .NET framework clients can rationalise their trading strategies development cycle while the Genetic Algorithm features will allow clients to apply parallelization for powerful computation of efficient back-testing and leveraging client multi-core server configuration.
Stephane Leroy, vice-president, head of Global Real Time Solutions, says: “The new genetic algorithm features will allow clients to accelerate the time to market of their automated trading models. Parallelization is a fantastic way to run multiple backtests to identify the best trading parameters in a very short period of time.”
The firm’s advanced algo-trading development tool is an Integrated Development Environment (IDE) designed to help US, European and Asian clients to optimise each step of the automated trading development cycle, from data acquisition to alpha discovery and back-testing to production.