A flash bot botched its arb by earning $3 using $200M ⚡️ loan. bit.ly/3PfnkKC
1️⃣ flash loan from @MakerDAO
2️⃣ saved the loan to @AaveAave to borrow $WETH
3️⃣ used the $WETH to arb on $T between @CurveFinance and @balancerlabs
4️⃣ took the $3 profit
Why did the 🤖 only borrow such a small amount of WETH? The short answer is it's its intention. Since flash loans have no cost, there is no incentive for bots to consider and optimize the utilization of funds. This situation is common among arbitrage robots.
And the 🤖 has been doing this all the time 👇
You can find out its MEV history on this page: eigenphi.io/mev/ethereum/c…
Its trading volume reached $24.6M today on 40 txs with a profit of $867.
The top MEVs in the last 30D done by it always use Flash Loan.
No.
If you want to find out more about how flash loans haven been used for, go visit our Flash Loan module, showing you trends on @balancerlabs, @dYdX, @AaveAave, #UniV3, top loans, what they have been used for, and how much profit they generate. eigenphi.io/mev/ethereum/f…
• • •
Missing some Tweet in this thread? You can try to
force a refresh
According to @jphackworth42, the revenue of #JIT#MEV on #UniV3 has reached $7.3M as of Jun 8. dune.com/queries/233623….
The newly released spec of #UniV4 brings novel development to the field. Do you think JIT will become more frequent or less seen?
#UniV3's concentrated liquidity created Just-In-Time MEV bots that extract fees from LPs, with risks for passive providers. JIT involves 3 more txs, it's hard to read the detail steps inside these txs. Let's dissect on of these JIT 🤖 and find out what's going on inside.
3️⃣ key transactions involved in a JIT trade: add liquidity, swap, and remove liquidity.
Let's take a look at the adding liquidity tx first. bit.ly/42MvoFt
Steps 0-1: The LP provider added $7.8M $USDC and 98 $WBTC as liquidity to a #UniV3 pool.
🎥 NEW VIDEO ALERT! We break down the intricate process of #DeFi#Liquidation in light of the recent market liquidation topping $163 million due to USDT short-time depeg.