Real-Time Detection of Market Abuse & Signal Distortions
Real-time detection fuses order book and behavioral analytics with external signals to flag spoofing, quote-stuffing, and crowd-driven volatility before it corrupts alpha models or triggers false signals.
Scale Alpha With
Asset-Agnostic Coverage
Coverage for every strategy you run—equities, fixed income, crypto, spot, listed derivatives–operational even without an order book in markets like U.S. Treasuries RFQ, OTC venues and DeFi pools. Behavior-centric models detect manipulation that can distort signals or erode PnL, enabling safer expansion into exotic liquidity while reducing infrastructure overhead.
Cross-Product & Cross-Venue Abuse Detection
Uncover correlated manipulation across spot, derivatives, onchain and offchain markets —like cross-product spoofing, price pressure, and latency arb—frequently overlooked by legacy surveillance systems monitoring venues in silos.
Frontier Models for
Emerging DeFi Threats
Purpose-built models detect in real time evolving risks in decentralized ecosystems —rug pulls, CeFi/DeFi price manipulation, token ecosystem threats, and counterparty exposure in DeFi pools— to protect capital deployment, execution quality, and alpha realization across DeFi protocols.