Market Surveillance Technologies

Detection

Advanced surveillance frameworks utilize real-time pattern recognition to identify anomalous trading behaviors such as wash trading or spoofing across digital asset venues. These systems analyze high-frequency order book data to flag suspicious volume spikes that deviate from established market microstructure norms. Automated engines evaluate execution logs against historical liquidity profiles to maintain order and prevent systemic exploitation of derivative products.