Fintech Partnership Targets "False Positive" Crisis in Market Surveillance

BMLL, an independent provider of historical Level 3 data, has formed a strategic alliance with AI surveillance firm Features Analytics to tackle inefficiencies in market abuse detection. The collaboration addresses the overwhelming volume of false positive alerts generated by legacy rule-based systems.

The Cost of Compliance Noise

Financial institutions currently face significant operational drag from surveillance systems that flag non-suspicious activity. Features Analytics claims its “eyeDES” technology can reduce these false positives by 90%, a figure that becomes actionable when paired with BMLLs granular order book reconstruction capabilities.

• Reduction in False Positives: Targeting a 90% decrease via AI-driven screening.
• Surveillance Benchmarking: Validating monitoring systems against historical market conditions for regulatory explainability.

Cross-Asset Implications

While the initial focus includes global equities and ETFs, the technology has implications for the broader financial ecosystem, including Foreign Exchange (FX). The move mirrors recent trends; the London Stock Exchange Group (LSEG) recently launched a similar cross-venue platform targeting FX and MiFID instruments.