Empirical study on demand surge on Robinhood Chain released
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A team led by Pranay Anchuri released an empirical study on the Robinhood Chain, based on full block data from the first three active months after the chain's launch and over 50 million Uniswap transactions during the surge period to derive relevant conclusions. The study shows that the median peak of demand surge is 2.5 times the regular load, and the rise and fall of demand can be described by the superposition of exponential functions at two different time scales; compared to matched calm periods, the surge period has 1.05 times the number of trading pools, 1.40 times the number of transactions, and 1.21 times the number of senders, with external trigger cascade models providing relatively better fits for surge arrival.
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- arXiv q-finFuji: 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.
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