Fixed income electronic trading platform Trumid has launched a new automation solution, with the aim of boosting cross-protocol execution across credit trading.
The new offering – Trumid Full Self Trading (FST) – is designed to support the evolution of single-workflow automation to coordinated cross-protocol execution across various Trumid protocols, within a unified workflow.
Moreover, the solution marks a step away from tradition RFQ-focused workflows and other single-protocol execution models, and is built within Trumid’s ecosystem of protocols, allowing clients to continuously monitor and engage liquidity across Trumid Swarms and RFQ.
Specifically, FST users are expected to benefit from capabilities such as scaling trader presence, reducing missed trading opportunities and enhancing execution efficiency in fragmented electronic credit markets.
Speaking to The TRADE, Jason Quinn, chief product officer and global head of sales at Trumid confirmed that various institutional clients have already onboarded FST into their daily trading activity, such as for grey market activity and block trading.
Quinn explained: “By turning trader objectives into coordinated cross-protocol execution, FST helps reduce cognitive load while unlocking the full value of Trumid’s multi-protocol ecosystem.
“FST continuously adapts throughout the lifecycle of an order, evaluating opportunities across protocols while operating within trader-defined limits, preferences, and controls. Importantly, traders maintain full oversight throughout the workflow, with the ability to update limits or take control at any point.”
Read more – Trumid integrates new AI capability into its fixed income platform
Particular trader-defined limits include bond selection, direction, size, limit level and time horizon, ensuring that FST operates within pricing and execution guardrails to monitor market conditions and execute according to the user.
In addition, Trumid has confirmed that it plans to expand FST capabilities to a third existing Trumid protocol, Attributed Trading, effective H2 2026.
“This aligns with our belief that, as electronic credit markets continue to evolve, traders will increasingly seek automation that can also operate across multiple liquidity protocols simultaneously rather than within isolated RFQ workflows,” added Quinn.
“Longer term, we expect automation to become increasingly adaptive, protocol-agnostic, and embedded directly into day-to-day execution workflows, helping traders efficiently source liquidity while maintaining transparency and control.”