I developed a C++ command-line tool designed to identify algorithmic and non-human trading patterns on Polymarket. The results were striking.

The first wallet flagged by the system was generating roughly $150,000 weekly. The execution was flawless—tens of thousands of individual fills, a win rate that bordered on the suspicious. It moved fast, appearing almost instantaneously whenever conditions aligned.

Building this detector took weeks of refinement. The patterns were unmistakable once you knew what to look for: mechanical precision, zero emotional trades, zero hesitation. While most traders show human fingerprints in their behavior—the hesitation, the occasional panic sell, the emotional FOMO—this wallet operated like clockwork.

What's interesting is how quickly these bots surface once you have the right detection framework. They don't hide well once you're scanning for the specific markers of algorithmic execution.