diff --git a/anatomy_of_mev_bots/data-analysis/2022.md b/anatomy_of_mev_bots/profits/2022.md similarity index 53% rename from anatomy_of_mev_bots/data-analysis/2022.md rename to anatomy_of_mev_bots/profits/2022.md index 04c8ad0..050459b 100644 --- a/anatomy_of_mev_bots/data-analysis/2022.md +++ b/anatomy_of_mev_bots/profits/2022.md @@ -1,17 +1,12 @@ -## MEV bot data analysis for 2022 +## 2022: MEV bot data analysis and profits
-#### november - * 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 - -
- -Screen Shot 2022-12-19 at 7 51 06 PM
@@ -19,3 +14,37 @@ Screen Shot 2022-12-19 at 7 49 45 PM
+ + +* 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 + +
+ +Screen Shot 2022-12-19 at 7 51 06 PM + + +* jit bots seem to be focused on the top 10 pools sorted by trading volune (half of jit activity) + +
+ +Screen Shot 2022-12-20 at 10 28 12 AM + +
+ +* USDC, WETH, and USDT, are the hottest pools that MEV bots like to interact with + +
+ +Screen Shot 2022-12-20 at 10 31 58 AM + +
+ +* profit for arb + +
+ +Screen Shot 2022-12-20 at 10 33 25 AM + + +
+