Case Study: a global stock exchange cuts false positives by 60–90% with Teamvoy’s AI trade surveillance system

Global Stock Exchange & Financial Services Provider cuts false positives by 60-90% with Teamvoy

Teamvoy was engaged by a global stock exchange & financial services provider whose trade surveillance software was generating over 90% false positive alerts. This high level of noise overwhelmed investigators and masked real market abuse signals, creating a major operational challenge for their compliance teams.

Teamvoy re-engineered the client's experimental Python research algorithms into a high-concurrency, production-grade Java backend system. This solution reduced false positive alerts by 60-90% while maintaining a 100% true positive retention rate and slashed parameter calibration time from several weeks to under 30 seconds.