FlexTrade
Systems and Kepler Cheuvreux’s KCx execution services have launched a new
workflow that allows traders to access KCx’s analytical data through natural
language queries in FlexTrade’s AI assistant, FlxAI, the companies announced today
(Monday).
FlexTrade and KCx Launch
AI-Powered Analytics Integration for Traders
The
integration works by translating natural language requests into API commands
that retrieve data from KCx’s analytics suite and presenting results as
readable narratives within FlexTrade’s order blotter. The collaboration comes
as trading desks increasingly adopt conversational AI to accelerate
decision-making processes and extract market insights more efficiently.
The newest
update, being showcased at TradeTech Europe in Paris this week, enables users
of FlexTrade’s trading platforms to query KCx’s market analytics using
conversational commands rather than navigating complex interfaces or data sets.
“Users
can simply ask questions like ‘What’s the anticipated closing volume according
to KCx?’ and receive immediate, actionable insights,” said Andy Mahoney,
Managing Director for EMEA at FlexTrade.
“This extends our coverage to third-party data that is relevant, useful,
and timely to users.”
In
February, the
company integrated LoopFX’s dark pool matching capabilities into its
trading platform, enabling to execute large forex trades with reduced market
impact.
Improving Decision Support
Chris
McConville, Global Head of Execution Services and Trading at KCx, emphasized
that the integration focuses on enhancing workflow efficiency rather than
solely developing AI-driven execution algorithms.
“Our
priority is to improve decision support, reduce manual processes, and simplify
interactions with complex data,” McConville said. “This enables
traders and portfolio managers to focus on more strategic, high-value
tasks.”
The
companies plan to further develop the integration to support agent-to-agent
communication, allowing FlxAI to communicate directly with KCx’s forthcoming AI
chat agent to deliver additional proprietary data and working order content.
Anvar
Karimson, Chief Technology Officer at Kepler Cheuvreux, described the
integration as “a significant technological advancement” that removes
barriers between complex analysis and trading decisions.
“Natural
language interaction elegantly removes barriers between complex analysis and
trading decisions,” Karimson said. “This reflects our core belief
that sophisticated technology should feel intuitive while enhancing how clients
interact with markets.”
The new
capability builds on KCx’s existing API Analytical Suite and is available to
mutual clients of both platforms.
This article was written by Damian Chmiel at www.financemagnates.com.
Source link
