eth_sign | Lucidly

This is a newest type of niche "MEV" strategy - probably one of the smartest tactics i've seen It levearges the disconnection between onchain infra <> offchain sidecar like Flashblock. (It's not even "JIT" cuz it didnt ACTUALLY provide liquidity, neither need to hedge the price / handle risk.) Technically this can be a bigger & concerning exploit via Flashblocks to sweep all LP rewards - if you deposit infinite amount of "Phantom" liquidity (thats bigger than the pool *active* TVL) in one flashblock and withdraw.

Why Morpho Isn't a Great Fit for RWAs. Morpho is designed around the deployment of immutable markets. A market is defined by its loan token, collateral token, price oracle, and risk parameters; the interest rate model, LTV, and liquidation discount (inferred from the LTV). This is great from a lender's perspective. When you deploy capital to a market, you know exactly what you're lending against and that the terms won't change. But the fundamental problem with this design is that it assumes risk is static, when risk is very much dynamic. What do I mean by this? As a lender, when you deploy capital to a market you have a holistic view of the current world state. You might deploy to a market offering a 91.5% LTV (which infers a 2.62% liquidation discount) where the collateral has plenty of on-chain liquidity available for liquidators. But what happens when that on-chain liquidity starts to disappear? The risk profile of the market has changed, but the parameters haven't. Morpho's solution is to deploy a new market with updated risk parameters that better capture the shift in the external environment. In practice, it's not that simple. If liquidity in the original market is currently being borrowed, borrowers are unlikely to voluntarily migrate their positions to a new market with a lower LTV and a higher liquidation discount. This becomes even more precarious with RWAs, which carry a fundamentally different risk profile from spot tokens. Liquidators go from taking on price risk to taking on duration risk. Let's look at a concrete example. Take the Anemoy Tokenized Apollo Diversified Credit Fund (ACRDX) and assume we deploy a market with an 86.5% LTV, that equates to roughly a 4.22% liquidation discount. ACRDX has quarterly liquidity, so to keep things simple, assume redemptions only occur on the 1st of every quarter. If a position is liquidated on day 1 of a new cycle, the 4.22% discount is probably sufficient to cover the duration risk and opportunity cost of waiting 90 days for the liquidator's redemption to settle. But if the position is liquidated on day 89, the same 4.22% is far more punitive as the liquidator only has to bear one day of duration risk for the same reward. This creates a perverse incentive. Liquidators are encouraged to wait as long as possible before seizing a position, since the longer they delay, the better their risk-adjusted return on the liquidation becomes. By design, this heightens the probability of bad debt accumulating in the market. Risk modelling in a lending market needs to be dynamic. It needs to respond to the specific characteristics of the collateral it's modelling, not treat every asset class as if it carries the same static risk profile. What's good for spot tokens isn't necessarily good for RWA's.

0/ PropAMMs are one of the most important innovations in market microstructure in years, possibly decades. A thread

Watching 12,000 agents in real time bouncing between different vaults to find the best yield is wild window into the future

So there are $99.4M dollars backing 104.7M shares yet somehow each share is supposed to be worth $1.05 interesting 🤔🤔🤔

update on this strategy is running in prod, working on fine-tuning to reduce jitter signal -> compute -> relayer call 200ms rn and strat stacks more btc as btc/eth goes down estimating a week's time before we start accepting external capital

lucidly Earn on tg