Articles
December 2025

Why Predictive Pricing Is Becoming Essential in Today’s Muni Market

Modernizing Muni Trading Through AI and Automation 

The municipal bond market is vast and fragmented, with more than a million outstanding CUSIPs and limited real-time transparency. These characteristics create persistent challenges for traders and portfolio managers trying to establish fair value and execute efficiently. Today, firms are turning to predictive pricing and workflow automation to close these gaps. In a recent webinar Unlocking efficiency in municipal trading: Predictive pricing, automation, and client perspectives, experts from Northern Trust, our partner Investortools, and our CEO, Eugene Grinberg, brought these capabilities to life, reshaping how muni teams evaluate prices, manage portfolios, and make trading decisions. 

 

Why Predictive Pricing Matters in a Fragmented Market 

In the past, pricing municipal bonds required piecing together sparse trade data, comparing similar securities, and relying heavily on trader intuition. The workflow was slow, manual, and difficult to scale. Predictive pricing has changed that. AI-driven models analyze market data in real time to estimate where a bond should trade, factoring in trade size, direction, and recent activity.

These models have been rigorously backtested, with median absolute errors of roughly 2.7 basis points in the institutional muni market. That level of accuracy gives traders and PMs a reliable reference point when evaluating odd-lot positions, thinly traded names, or bonds without recent prints.

Embedding Predictive Insight Directly Into the Trader Workflow 

The real value of predictive analytics comes when it’s delivered directly inside the tools traders use every day. SOLVE’s predictive pricing is now integrated into the Investortools Dealer Network, allowing traders to compare live offerings against predicted levels instantly. 

Confidence scores further support the decision-making process by showing how certain the model is about a given prediction, an added layer of transparency that helps build trust and avoid unnecessary risk. This embedded workflow reduces the “swivel-chair” effect, where traders bounce between systems to gather data. Instead, pricing, comparisons, and opportunity identification happen in one place, speeding up decisions without sacrificing control.

Driving Efficiency, Scale, and Better Client Outcomes 

Electronification and automation are reshaping trading behavior across the muni market. Trade volumes have increased, portfolio turnover has accelerated, and desk workflows have become more dynamic. Northern Trust has experienced this shift firsthand: trade counts have doubled since 2021, and daily activity continues to rise. This scale is only possible with automation. Predictive pricing allows teams to move faster and more confidently, supporting portfolio construction, tax-loss harvesting, and execution. It also gives junior traders helpful guardrails, enabling them to contribute sooner without taking on undue risk. Senior team members can then focus on strategy rather than manual price discovery. 

 

Change Management: The Human Side of Adoption 

Technology alone doesn’t drive transformation, people do. Northern Trust emphasized the importance of internal alignment across trading, PMs, risk, and compliance to ensure automation enhances the workflow rather than disrupts it. As one panelist noted, “It’s a change management exercise. You need the right checks and balances so everyone is comfortable with the shift.” By introducing predictive tools gradually, building transparency into the models, and maintaining strong vendor partnerships, the team ensured successful adoption across the desk.

What’s Next for Predictive Pricing in Fixed Income 

The success of predictive pricing in the muni market is setting the stage for broader innovation. Northern Trust and SOLVE are exploring expansion into additional asset classes, as well as more automated processes that uncover opportunities hidden within large datasets. The combination of AI-driven insight and trader expertise is shaping a smarter, more efficient approach to fixed income investing. In a market where every basis point counts, firms embracing modern tools are better equipped to deliver improved execution, deeper insight, and stronger outcomes for clients. 

To get the full story, listen to the on-demand webinar.

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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.