AI-powered predictive pricing for 900,000+ municipal bonds — delivering clarity across the entire market.
The municipal bond market is vast, fragmented, and often opaque. With over 900,000 securities outstanding, many trade infrequently — leaving traders, portfolio managers, and advisors without consistent price signals. Traditional sources struggle to keep pace with the scale and complexity of the muni market.
SOLVE Px for the Municipal Market changes that. By combining proprietary muni quotes, reference data, and trade activity with continuously refined AI models, SOLVE Px predicts trade levels across nearly the entire market — delivering clarity and transparency where it’s needed most.
Predictive pricing for 900,000+ fixed coupon securities (taxable and tax-exempt), representing ~99% of the municipal market
Traders, analysts, and issuers gain predictive pricing across 900,000+ municipal bonds — from high-grade benchmarks to hard-to-price names. SOLVE Px delivers reliable estimates where traditional transparency is limited, allowing users to operate confidently across the full municipal spectrum.
Portfolio managers and valuation teams can rely on SOLVE Px’s explainable AI models, supported by a Confidence Score for every output. With model accuracy under 3 bps mean absolute error, pricing decisions are transparent, defensible, and consistent even in thinly traded credits.
Buy-side and sell-side institutions benefit from predictive models built on 300+ market features and SOLVE’s unmatched data depth. Independent testing shows SOLVE Px delivers 34% greater pricing accuracy than comparable approaches, supporting fair-value analysis and regulatory confidence.
Investment and compliance teams gain full visibility into model inputs, performance, and methodology. SOLVE Px enables clear communication of valuations and audit-ready documentation — building trust across internal reviews, counterparties, and regulators.
On-demand, CUSIP-level predictions available directly in SOLVE Quotes or as a standalone module.
A single predictive view that informs trading, portfolio management, valuations, and client reporting.
Access predictive bid and offer levels for bonds that may not trade frequently.
Spot relative value opportunities and validate internal views with AI-driven prices.
Use Confidence Scores to strengthen audit, valuation, and regulatory workflows.
Deliver consistent, explainable prices for client portfolios and reporting.
Support quote generation, client servicing, and inventory management with predictive levels.
Leverages explainable machine learning trained on SOLVE’s proprietary municipal quote and trade data to estimate fair market prices in real time.
Continuously updates predictive prices as new market data and quotes stream in, reflecting the latest liquidity, size, and direction dynamics.
Assigns a 1–10 Confidence Score to every predictive price, allowing users to quickly gauge model certainty and prioritize high-confidence outputs.
Draws from 300+ structured features including issuer characteristics, market sector, coupon, call structure, and recent trade or quote activity.
Maintains a mean absolute error (MAE) below 3 basis points versus verified trade levels, ensuring consistency and credibility across the curve.
Models designed to be transparent and auditable, supporting decision-making and compliance.
Delivers predictive pricing directly through SOLVE Workstation, data feeds, and APIs — ensuring accessibility across workflows and systems.