diff --git a/anatomy_of_mev_bots/data-analysis/2022.md b/anatomy_of_mev_bots/profits/2022.md
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rename to anatomy_of_mev_bots/profits/2022.md
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-## MEV bot data analysis for 2022
+## 2022: MEV bot data analysis and profits
-#### november
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* 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.
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* 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
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+* 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
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+* jit bots seem to be focused on the top 10 pools sorted by trading volune (half of jit activity)
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+* USDC, WETH, and USDT, are the hottest pools that MEV bots like to interact with
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+* profit for arb
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