What Surveillance Tools Are Used by CEXs to Detect Internal Front-Running?

CEXs use sophisticated trade surveillance systems that employ algorithms and machine learning to monitor trading patterns in real-time. These tools look for suspicious correlations between employee trades and large client orders, sudden changes in trading volume or price, and anomalous execution sequences.

They also monitor communication records and access logs to ensure that employees with access to the private order book are not trading the same assets just before a market-moving event.

What Is the Difference between Front-Running in CEXs and DEXs?
How Do Centralized Crypto Exchanges (CEXs) Technically Mitigate Front-Running?
How Do CEXs Typically Use Trade Surveillance to Detect Front-Running?
What Are the Specific Statistical Methods Used to Identify Anomalous Data in Real-Time?
What Kind of Data Analysis Is Used by CEX Surveillance to Flag Potential Front-Running?
What Internal Surveillance Tools Do CEXs Use to Detect Market Manipulation like Front-Running?
Can a CEX Be Held Liable for a Front-Running Incident If It Was Unaware of the Employee’s Actions?
How Do Surveillance Systems on CEXs Enforce MAR Principles?

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