Trumid FVMP delivers real-time, predictive bond pricing across more than 30,000* U.S. corporate bonds—fast, transparent, and built for automation.
*As of August 31, 2026.
FVMP (Fair Value Model Price) is Trumid’s award-winning, real-time predictive pricing solution for the U.S. corporate bond market.
Fixed income markets generate vast amounts of data. FVMP turns it into pricing insights designed to support more informed trading decisions.
It combines proprietary and external data with machine learning to produce continuous, two-sided, confidence-scored prices across the full liquidity spectrum.
Built on live signals from Trumid’s multi-protocol trading platform—RFQ, Swarms, Attributed Trading, and Portfolio Trading—alongside external market data.
Trained on real-time trade data for actively traded bonds; derived spread and yield curves for the long tail of illiquid credits.
Mid and bid-offer prices are delivered with a machine-learned confidence score.
Distinct bid-offer levels across six liquidity buckets, from $100K to $5M+, because execution cost isn’t one-size-fits-all.
Native integration with execution, valuation, and TCA workflows via FIX and REST APIs.
FVMP is the pricing backbone that supports automated trading and analytics across Trumid’s platform. Its real-time pricing and confidence signals give downstream workflows an objective, model-driven view of where a bond may trade.
Trumid FVMP™ is ranked #1 in both high grade and high-yield pricing accuracy in SS&C’s 2026 Fixed Income Study.
Available across the Trumid application, FVMP also integrates with your OMS/EMS, analytics stack, or custom RFQ engine via flexible FIX and REST APIs. Whether you’re quoting size in high yield or scanning the long tail of illiquid credits, FVMP delivers:
For direct integration into your OMS/EMS, analytics stack, or custom RFQ engine
Real-time feeds, SFTP files, or Excel Add-in, for teams that want the data outside the platform
Pre-integrated with leading OMS, EMS, and third-party analytics providers
Read more technical details behind the model. Our white paper walks through FVMP’s data foundation, machine learning methodology, confidence scoring, outlier detection, and back tested performance—plus how it integrates across the trade lifecycle.
