Order Book Spoofing Detection

Order book spoofing detection involves identifying non-bona fide trading activity where a participant places large orders with the intent to cancel them before execution. The goal of the spoofer is to create a false impression of market depth, tricking other participants into buying or selling at unfavorable prices.

Detection algorithms monitor the order flow for rapid cancellation patterns and abnormal order-to-trade ratios. In high-frequency trading environments, this is essential for maintaining fair price discovery and preventing retail traders from being manipulated.

By flagging these patterns, platforms can enforce penalties or restrict access to prevent market distortion. This mechanism is a critical component of market surveillance systems.