Market Surveillance Challenges

Analysis

⎊ Market surveillance within cryptocurrency, options, and derivatives necessitates advanced analytical techniques to detect anomalous trading patterns indicative of manipulation or illicit activity. Traditional methods relying on order book analysis are challenged by the fragmented nature of crypto exchanges and the prevalence of high-frequency trading algorithms. Effective surveillance requires integrating on-chain data with exchange-traded data, employing statistical process control, and utilizing machine learning models to identify deviations from expected behavior, considering the unique characteristics of each asset class.