Spoofing Detection Models

Spoofing detection models are specialized analytical tools designed to identify the practice of placing large, non-bona fide orders with the intent to cancel them before execution. The goal of spoofing is to create a false impression of supply or demand, tricking other market participants into trading at unfavorable prices.

Once the market moves in the desired direction, the spoofer cancels their original order and executes a trade on the opposite side. These detection models look for specific behaviors, such as rapid order cancellations, high order-to-trade ratios, and patterns of placing orders just outside the current best bid or ask.

By flagging these activities, surveillance systems help maintain a fair trading environment and protect investors from artificial price movements. These models must be constantly updated to keep pace with the evolving strategies of sophisticated market manipulators.