mev-toolkit/MEV_searchers/profits/2022_profits.md

2022: bot data analysis and profits

tl; dr

• data range covered is from block number 13916166 (include) to 15871479

• high-frequency trading bots could be defined as addresses that have over 1k total transaction and maintaned an avarage of 30 trades per day on a month period.

• overall, uniswap v3 has about twice as many bots across each network deployment compared to the corresponding deployment of sushiswap, but they make up a much smaller percentage of the total user base.

• over the past year, the overall ratio of sandwich attacks to total swaps on DEXs is less than 2%, which amounts to over 400,000 attacks within the Ethereum ecosystem alone

• jit bots seem to be focused on the top 10 pools sorted by trading volune (half of jit activity)

• USDC, WETH, and USDT, are the hottest pools that MEV bots like to interact with

arbitrage profits

• bots have extracted at least $85 M from market price asymmetry involving Uniswap V3 pools.

sandwich profits

• sandwich bots have extracted at least $47 M from swap users in the form of slippage loss.

jit profit

• jit bots have extracted $6 M from Uniswap V3's swap fee revenue
• there seems to be an increasing trend of unique swap users that can benefit jit activities