Fuji: Patterns, Composition, and Price Differences of Demand Surges on Robinhood Chain

The research team analyzed full block data from the first three active months after Robinhood Chain’s launch and over 50 million Uniswap transactions during surge periods, finding that the median peak of demand surges reached 2.5 times the normal load, and that the rise and fall of demand can be described by the superposition of exponential functions on two different time scales. Compared with matched calm periods, surge periods had 1.05 times the number of transaction pools, 1.40 times the number of transactions, and 1.21 times the number of senders; an external trigger cascade model provided a relatively better fit for the arrival of surges.