SOLVE Says AI Pricing Lifted 70% of One Buyside Firm's Trades
Updated
Updated · Bond Buyer · Jun 17
SOLVE Says AI Pricing Lifted 70% of One Buyside Firm's Trades
1 articles · Updated · Bond Buyer · Jun 17
Summary
A large buyside shop found 70% of its trades were more profitable when it used SOLVE’s AI-generated prices instead of its own internal pricing, SOLVE chief product officer Tim Stevens said.
SOLVE said its model turns live market data into predictive bond-trading signals and is built to reduce the gap between where it expects a trade to occur and where it actually prints.
Clients use the pricing through SOLVE’s Perform front end, data feeds or APIs to set trading levels, feed internal pricing models and add guardrails to AI-driven workflows.
At the same fixed-income summit, AllianceBernstein and BlackRock argued for building in-house pricing systems, saying buyside firms can combine TRACE prints, dealer runs and customer bids into automated models.
The discussion highlights a broader build-versus-buy split in fixed income, with firms weighing customization and control against faster deployment, lower upfront costs and vendor dependence.