LTX, a Broadridge Financial Solutions-backed AI-powered corporate bond e-trading venue, has launched agentic capabilities within its BondGPT application, enabling traders to automate key stages of their fixed income workflows.
The new functionality allows users to build AI agents that monitor live market conditions and execute predefined actions on their behalf. These include generating automated alerts, creating trade tickets, selecting dealers, launching requests for quotes (RFQs), and accepting prices to trigger automatic execution, all within parameters set by the trader and subject to human oversight.
Safety guardrails include human-in-the-loop approvals, policy-driven limits on trade size and scope, built-in explainability prior to any action being taken, and full auditability of all activity.
The announcement also coincides with a notable expansion of the platform’s liquidity provider network. Goldman Sachs, J.P. Morgan, TD Securities (through its subsidiary, TD Financial Products LLC), Morgan Stanley, and Bank of America have all recently joined as fully integrated liquidity providers. The platform now counts more than 40 liquidity providers and upwards of 100 buy-side institutions among its participants.
LTX operates as an AI-powered corporate bond e-trading venue backed by Broadridge Financial Solutions. Since launching BondGPT in 2023 the company has continued to develop its AI-driven product suite in response to client feedback and broader technological advances.
LTX CEO Jim Kwiatkowski said, “Agentic BondGPT brings practical, trader-controlled AI into fixed income investing and trading workflows by helping market participants define what matters, monitor the market continuously, and respond faster when the conditions they are looking for appear.
“When we launched BondGPT, our goal was to make it easier and faster for traders to discover information and uncover opportunities. Agentic AI capabilities in BondGPT present the next step in that journey, enabling traders to delegate tasks and move more seamlessly from discovery and analysis to implementation and execution.”
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