Our aggregated metrics analysis takes a comprehensive approach to identifying potential bot activity on the Uniswap platform. We meticulously evaluated trading behavior across multiple dimensions: excessive hourly trading, daily trade frequency, non-rounded trade amounts, consistent 24/7 trading patterns, and reactivity to significant market price changes. Each metric targets a unique facet of trading behavior, enhancing our ability to pinpoint accounts that display algorithmic or high-frequency trading characteristics. By collating these insights, we provide a robust overview of trading activity, allowing for a more informed distinction between organic traders and potential bots.

After completing the analysis, it became evident that relying on four parameters, as opposed to just two, offers a more rigorous and dependable method to discern bot accounts. This heightened criterion ensures greater precision in distinguishing automated behaviors from genuine trading activities