Citi announced it has launched a next generation algorithmic trading platform for its institutional equity trading clients. The new platform offers cutting edge execution logic and extensive customization capabilities, Citi said.
"Citi is proud to bring the next generation of algorithmic trading to our institutional clients," said Young Kang, global head of algorithmic products at Citi. "Citi Algorithmic Trading capitalizes on Citi's extensive global trading expertise, our world class technology, and unparalleled market liquidity. It is designed to bring together our global capabilities with the firm's substantial regional knowledge."
Strategy improvements for Citi Algorithmic Trading include consistent behavior of strategies along with parameters and constraints; a sophisticated limit order model; symbol-specific trading decisions driven by historical and real-time analytics; and optimal balancing and control across trading styles, according to a release. Citi said resiliency, transparency and control improvements include full control and diagnostics of child orders along with analytics pertaining to the parent order, the ability to generate detailed informational alerts on strategy behavior and market movement.
The new platform also enables clients to get self monitoring alerts for exceptional conditions with multiple levels of severity; real-time information on strategy progress and performance and enhanced stability, redundancy, and recovery framework.
The new Citi Algorithmic Trading platform was developed by a global team of quantitative analysts and technologists in New York, London and Asia over the past 18 months. The technology has been running internally over the past ten months and is currently being launched to external clients in the United States, Europe, the Middle East, India, Japan, Hong Kong, Singapore, Taiwan and Korea.
The platform is region and asset class agnostic and has a flexible client configuration along with real-time analytics. The advanced modeling and order placement logic identify when and where to trade and, more importantly, when not to trade.