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.