Omer Goldberg Profile picture
Oct 12 1 tweets 4 min read Read on X
Friday could have one of DeFi's worst black swan events.

On paper, over $19 billion in liquidations hit across CEXs and perp DEXs. The real figure was likely higher. Many were surprised that on-chain lending markets came out mostly untouched, but outcomes can be misleading.

Markets saw violent dislocations:

PAXG at $3,600 on @binance

EURC at $1.085 on @coinbase

USDE at $0.65 on Binance

These were not depegs. A mispricing on a single venue is not a structural loss of parity.

However, if those gaps had remained open, the price impact would have spilled over into DEXs and lending markets, draining liquidity and triggering liquidations faster than the system could absorb.

On @aave alone, $4.8 billion in positions were at risk, with $180 million in potential penalties. If those liquidations had cleared, assets would have gone to zero before stabilizers could react.

We avoided that outcome because of risk management deliberate design choices. One of them was the decision to price USDe 1:1 with USDT (s/o to @LlamaRisk too!).

The Limits of Traditional Oracles

Traditional price oracles are a pale version of what a true oracle should be. They aggregate quotes from secondary markets and assume those order books reflect fair value. That assumption works for liquid, fungible assets. Not for the new class of asset-backed and mechanism-dependent tokens that now dominate DeFi.

For tokens like:

- USDe
- LRTs
- PTs
- tokenized RWAs

Value depends on primary liquidity, reserve composition, and redemption mechanics. Treating all tokens as homogenous ignores these embedded dependencies and redemption paths that define their real economic worth.

A real oracle must go deeper. It must integrate every structural layer. Reserves, counterparties, redemption logic, protocol logic, and dependencies, to produce a risk-aware measure of value. Otherwise, you’re not pricing assets; you’re quoting volatility.

The Convergence of Price, Proof, and Risk

This is where price, proof of reserve, and risk oracles converge. They are not separate systems but interdependent layers of the same framework.

For asset-backed tokens, value cannot be defined solely by a price oracle. It emerges from the combination of market pricing and verified reserves. The interaction between what the market observes and what can be proven to exist.

Price oracles surface external market signals that reflect secondary-market behavior.

Proof-of-reserve oracles ground those signals in verifiable collateral, confirming the economic backing that gives the token meaning.

Risk oracles contextualize both, determining what the asset is worth to a specific system based on its structure, liquidity, and correlation to other exposures.

In other words, price without proof is speculation, and proof without context is static.

True valuation in DeFi depends on all three layers working together: market, backing, and risk, operating in real time.

Proof-of-Reserve oracles are progress, but we’re still far from the endgame. There’s no standard for attestation frequency or depth. Every gap between proofs is a blind spot where solvency is assumed, not verified. The ideal state is continuous, real-time attestation enabling live, observable reserves that update as conditions change. We’re moving in that direction, but we’re not there yet.

** Oracles, in a world of sophisticated DeFi, are application-specific instruments of risk, not universal truth machines. **

A lending market shouldn’t necessarily use the same oracle as a perps exchange.

Each system must decide what kind of volatility it wants to internalize and what kind it’s willing to pass downstream.

There’s no free lunch; pricing stability always transfers volatility somewhere else. The question is who absorbs it, and when.

Hard-coding 1:1 parity can be the right trade-off for lending systems that prioritize depositor safety, but it’s not universally optimal or endgame.

The underlying NAV risk doesn’t disappear; it just moves. Good risk design makes that transfer explicit, transparent, and priced.

A Call for Discipline

If you’re an asset issuer minting a tokenized RWA, stablecoin, or money market instrument, you must have a proof-of-reserve system in place and work with an oracle to provide a PoR oracle. Without it, integrators like lending markets, perp DEXs, and vault managers are blindly extending credit to your assumptions of solvency.

And if you’re an integrator:
- an exchange
- lending protocol
- vault manager
you need to work directly with asset issuers and risk partners to understand each asset’s structure, redemption logic, and reserve mechanics. Otherwise, your users will absorb risks that should have been managed at the protocol level.

The Path Forward

Yesterday could’ve been ** much worse ** for DeFi.

We’re building systems that now mirror the scale of traditional finance, but not yet its discipline. Real progress in financial infrastructure won’t come from speed . It will come from precision, transparency, and shared standards.

Every oracle, asset, and market design is a set of trade-offs.

The next phase of DeFi will belong to those who recognize that truth early and build with that rigor. Not those who move fastest, but those who move correctly.Image
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More from @omeragoldberg

Nov 9
1/ Every architecture involves tradeoffs.

Good design allows you to design a system where, for every unit of risk you take, you earn the most reward, and for every unit of reward you take, you incur the least risk.

From a liquidity risk PoV, Morpho's model is suboptimal. Image
2/ To start, every lending protocol carries risk. We’ve explored this previously

Some are obvious:

- insolvency
- oracle failures
- smart contract exploits

Others are more subtle, such as liquidity risk.

That’s the one we’ll focus on here.

3/ Redemption risk is manifested when users can’t withdraw collateral.

Morpho markets itself as an “isolated” lending alternative, where curators manage vaults and users pick between distinct risk profiles.

But "isolation" is misleading, as we'll see; liquidity risk is shared. Image
Read 17 tweets
Nov 3
1/ TL;DR

Hours after a multichain @Balancer exploit triggered widespread uncertainty across DeFi, @berachain executed an emergency hard fork, and @SonicLabs froze the attacker’s wallet.

Shortly after, Stream Finance’s xUSD began to depeg materially below its target range. Image
2/ Long-standing questions resurfaced around leverage, oracle construction, and PoR transparency.

It's a textbook case of the reflexive stress events we outlined last Friday in our DeFi’s Black Box/Vaults article. Image
3/ What Happened & Backdrop

A Balancer v2 exploit unfolded across several chains, and for an extended period, it was unclear which pools were affected on which networks or which integrated protocols had direct exposure.

Read 8 tweets
May 29
$500K gone in 180 seconds.

Chainlink just proved oracles are one of the weakest links in DeFi.

Here’s what happened: Image
1/ Earlier today, Chainlink’s deUSD price feed spiked to $1.028—just enough to tip the Avalanche Euler market over the edge.

Within minutes, $500K+ of leveraged positions were wiped out. Image
2/ deUSD is Elixir’s RWA-backed stablecoin, with $185M total supply and $42.7M live on Avalanche.

It’s a popular collateral asset due to its high yield profile.

Users were looping it 10x for theoretical returns north of 100%.

LLTV sat at 92.5%. Razor-thin margins. Image
Read 9 tweets
Feb 22
1/ Bybit’s 1.4b Hack, Ethena, Aave, and Oracles

Exploring @Bybit_Official exploit impact on @aave, @ethena_labs, and USDe pricing.

How DeFi responded to the largest hack ever, contagion risk, pricing, and how Proof of Reserves could have prevented $20M+ in liquidations 🧵👇 Image
2/ In the aftermath of the attack, our team at @chaos_labs, alongside @bgdlabs, @AaveChan, and @LlamaRisk opened a war room to assess potential @aave exposure and systemic risk. Image
3/ Inside the war room, key concerns emerged:

- Was Bybit solvent?
- Was this just the first wave of a larger attack?
- How would any insolvency or haircut affect Aave, given sUSDe exposure? Image
Read 24 tweets
Oct 31, 2024
1/ With the U.S. Presidential Election less than a week away, prediction markets are taking center stage.

At @chaos_labs, our mission is to build trust and transparency in the markets of the future through high-quality data and risk management tools.
2/ Our focus isn’t on politics but on the tools and metrics that power prediction markets, which we see as an important distinction.

With products like the Edge Oracle, we help these markets fulfill their promise of open, decentralized data.
3/ In September, @wintermute_t announced OutcomeMarket and selected the Edge Oracle by @chaos_labs for outcome resolution.



As such, we've been researching these markets deeply over the past year.
Read 30 tweets
Oct 13, 2024
1/ $230K @MorphoLabs PAXG/USDC Market Oracle Exploit Breakdown

The Morpho PAXG/USDC market (tokenized gold via @Paxos) was exploited, leading to a $230K loss.

The root cause? A misconfigured oracle pricing gold at $2.6 trillion USD. Image
2/ Exploit Breakdown: Pt. 1 → Oracle Misconfiguration pricing gold at $2.6 Trillion

Morpho’s markets allow users to create markets. Unfortunately, in this case, the deployer may not have fully understood Morpho's decimal system. Image
3/ Exploit Breakdown, Pt. 2 → Supply and Drain

The exploiter realized the $2T dollar pricing of gold, supplied $350 dollars of $PAXG, and withdrew $250K, as viewed on @BlockAnalitica's Morpho portal. Image
Read 7 tweets

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