70% Greater Trading Profitability with Predictive Pricing in Municipal Bonds
Greater profitability on 70% of trades. In a side-by-side trial against its internal pricing model, a leading e-trading platform found SOLVE Px™ would have delivered better outcomes on seven out of every ten muni trades.
One of the most active municipal bond trading desks in the U.S. needed a pricing engine that could keep pace with a fragmented, 900,000-CUSIP market. The desk needed to price thousands of bonds before the open, defend every intraday quote with accuracy, and cover the long tail of illiquid names. After a rigorous evaluation, the firm selected SOLVE Px™ under a multi-year agreement spanning API and front-end tools, deploying predictive pricing across both morning inventory workflows and intraday execution.
900K+ munis covered. Sub-3 bps median error. 99% of gthe fixed-rate market. The breadth and accuracy that made an e-trading desk move faster with more confidence.
Read the full case study to see how a phased rollout, spanning Excel Add-In, API, and full workflow integration, gave the desk more accurate pricing on less-liquid bonds, better alignment with real-time market conditions, and faster, more confident execution decisions.
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About SOLVE
SOLVE is the leading market data platform provider for fixed-income securities, trusted by sophisticated buy-side and sell-side firms worldwide. Founded in 2011, SOLVE leverages its AI-driven technology and deep industry expertise to offer unparalleled transparency into markets, reduce risk, and save hundreds of hours across front-office workflows. With the largest real-time datasets for Securitized Products, Municipal Bonds, Corporate Bonds, Syndicated Bank Loans, Convertible Bonds, CDS, and Private Credit, SOLVE empowers clients to transform the way they bring new securities to market, trade on secondary markets, and value highly illiquid securities. Headquartered in Connecticut, with offices across the globe, SOLVE is the definitive source for market pricing in fixed-income markets.
