As $LUNA continues to outperform, its critics also become louder

Most criticism is focused around the possibility of a bank run and $UST de-peg event

A few people have asked me about this, so rather than repeating myself I thought I’d put together a thread with my take 👇
1/ Until the recent @LFG_org reserve $BTC raise, $UST was an “algorithmic stablecoin” meaning it was backed only by endogenous collateral (i.e. $LUNA itself)

This is in contrast to debt-based stablecoins such as @MakerDAO which are overcollateralised by external assets
2/ The tradeoff here is clear:

Debt-based, overcollateralised stables are more resilient since there is always >$1 of external collateral backing the stablecoin

However, they grow slower as growth is constrained by demand for credit rather than demand for the actual stablecoin
3/ Growth struggles are why debt-based stables have to onboard centralised, censorable assets like $USDC as collateral

After all, debt-based stablecoins compete with money markets and other credit protocols for demand for leverage and must provide a competitive product Image
4/ Algo stables don't require debt or external collateral. As a result, they're more capital efficient and can grow far quicker than their debt-based counterparts

However, this also means they have higher tail risk and are less resilient to black swan type events
5/ The risk is the so-called death spiral, depicted below

Endogenous collateral creates reflexivity which just means a self-reinforcing positive loop; $UST contraction leads to $LUNA being minted and declining in price, which leads to fear and more $UST redemptions ImageImage
6/ It's important to recognise that, other than $UST which hasn't just survived but thrived, all other algorithmic stablecoin systems have fallen victim to the death spiral

As someone who still holds a decent amount of $ESD, I can tell you a death spiral is no fun at all
7/ It's easy to focus on this, extrapolate from the past, and assume that LUNA is doomed to the same fate as its predecessors. But as with all venture investing, the right question to ask is "What if it works?"

In other words, what's the bull case for $UST ?
8/ Decentralised stablecoins are a multi-trillion dollar opportunity. They’re also the ultimate network effect product (liquidity, integrations, 'lindy', etc), meaning they'll likely concentrate around a few huge winners

In a network effects biz, he who grows fastest wins
9/ $UST's design allows it to grow far faster than its debt-based counterparts

It’s already the #1 decentralised stablecoin by market cap and growing at about 2-3x the rate of #2 ($DAI is actually declining)

But everyone knows $UST grows fast so let's talk about resilience Image
10/ $UST already defied the odds by not just surviving but thriving as a pure algo stable: growing supply, keeping a tight peg and withstanding shocks such as May ‘21

What Terra achieved is truly unprecedented and #few understand it. How did it happen?
11/ By building real utility for $UST, both through its investment ecosystem on Terra and cross-chain, and its burgeoning spending ecosystem

This utility acts as a demand floor for $UST and negates some of the reflexivity of the death spiral

12/ As it moves to exogenous collateral, it will become far more resilient while still enabling fast growth

How? Exogenous collateral mitigates the death spiral by allowing $UST redemptions to $BTC, relieving the pressure on $LUNA price (more details on mechanism coming soon) Image
13/ The @LFG_org raise shows that once demand/market share is there, it’s not hard to bootstrap collateral

The investors who participated in that raise understand that while you can build up reserves once you have demand, you cannot build up demand by starting with reserves
14/ While exogenous collateral puts $LUNA in a much better place, with $15b in UST supply and growing, it’s reasonable to ask whether $3b in BTC is enough to backstop the peg

The answer is no one knows. This is uncharted territory and we’re definitely not out of the woods
15/ UST's dependence on @anchor_protocol, regulatory pressure, or even a global recession, can all lead to contractions in UST supply

A sufficiently violent contraction could eat through BTC reserves and leave LUNA vulnerable to a death spiral
16/ As someone who holds the majority of their net worth in LUNA, UST and Terra alts, I'm obv bullish and think this is unlikely

However, anyone holding $LUNA or $UST needs to understand and be comfortable with this risk

DYOR and don't put in more than you can afford to lose
17/ I'm bullish not because I think there are no risks, but because I understand the tradeoffs and believe the upside more than justifies the risk

Decentralised stablecoins are a multi-trillion dollar, winner-takes-most market that $UST is best positioned to win
18/ At only 15B MC for $UST, we're just barely scratching the surface of this opportunity

While tail risks do keep me up at night, I believe as $UST supply grows, LFG will be able to continue to grow the reserve to something the market is comfortable with
19/ But this is just my opinion. I understand the risks and am ready to accept the consequences of being wrong

Until that day comes, I'll be helping build the Terra ecosystem and doing my part to make the 🌕 shine brighter
20/ I'll also continue investing and contributing to other ecosystems that excite me. Most importantly, you'll never catch me or any other @Delphi_Digital team member throwing shade at projects or rooting for them to fail

WAGMI is the crypto way

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More from @ZeMariaMacedo

Mar 1
At Delphi Labs, we have a long list of ideas we'd like to build, but we're limited by time and focus

With this in mind, we've put together a list of 6 ideas we'd like to see built on @terra_money
We'll be organising the second Delphi hackathon soon where we'll encourage builders to explore these and other ideas

In the meantime, if you're a skilled builder with SC experience looking to pursue any of these, reach out as Labs is interested in funding + incubating you
1. Margin trading

Margin trading on-chain is inefficient since credit protocols only allow you to borrow less than what you put in, meaning leverage is limited at <2x

@mars_protocol's SC lending changes this, by allowing higher leverage for whitelisted SC use cases
Read 18 tweets
Feb 17
During the lockdrop event next week, users will receive $MARS for depositing and locking $UST in the lockdrop

Their locked $UST will also accrue interest while locked as it's loaned out by the Red Bank

But what will this interest rate look like?
This is pure speculation, but it seems to me that the Mars $UST rate will eventually converge on the 20% @anchor_protocol rate. Why?

If it's <20%, users will just borrow $UST on Mars and deposit on Anchor to arbitrage the yield
This becomes even easier if Mars governance chooses to accept $aUST as collateral. In this case users can execute their very own Terra-native degenbox strategy

Deposit $aUST in Mars --> borrow $UST --> deposit in Anchor --> deposit $aUST in Mars --> rinse and repeat
Read 5 tweets
Feb 16
Leading up to the @mars_protocol launch, I've seen a lot of questions about how it differs from @anchor_protocol and whether they're competitive

The short answer is no. For the longer answer, check the thread below

Thread with some additional thoughts👇

Anchor is a savings-as-a-service protocol. Its goal is to provide a fixed APR that depositors can rely on

Mars is a decentralised credit protocol. Its goal is to become the credit facility for dApps and SCs

Anchor targets consumers. Mars serves (mainly) protocols
Anchor achieves its fixed rate by leveraging the most stable yield in crypto: PoS asset staking yield

This makes it less dependent on borrowing / utilisation since it can use the PoS validator rewards to guarantee a yield for depositors
Read 8 tweets
Feb 8
At Delphi Labs, we've thought a lot about oracles in the context of our contributions to @mars_protocol and @astroport_fi

In this report, we summarise our key learnings and propose a new framework to set TWAP parameters based on the cost of attack

members.delphidigital.io/reports/attack…
Oracles are key crypto infrastructure, lying at the core of all debt-based protocols such as money markets, derivatives, perps, etc. They're also one of DeFi's biggest attack vectors

This article by @samczsun provides an excellent summary of the issues

samczsun.com/so-you-want-to…
At the highest level, money market oracle manipulation attacks can be broken down into two main categories:

(1) False collateral value increase

(2) False collateral value decrease / debt asset value increase
Read 7 tweets
Feb 7
Mars isn't just another money market

It’s a generalised credit protocol enabling both peer-to-smart contract AND smart contract-to-smart contract lending 🔴

The latter is the real breakthrough and what I’m most excited about.

Thread about why 👇

1/ Many say DeFi is inefficient because all lending must be overcollateralised – you have to lock up more than what you borrow

They then argue the solution is moving to some form of trust-based "uncollateralised" lending

We agree with the problem, but not with the solution
2/ Rather than porting concepts directly from TradFi, we believe in using crypto’s inherent advantages to create new, better primitives

In order to understand these advantages, we must first examine how credit works in TradFi and how this differs from crypto
Read 32 tweets
Jan 24
Prediction markets are one of the OG crypto use cases that most excite people's imagination

And yet all attempts at building them so far have failed

Thread on why I think this is and why we're so pumped about @azuroprotocol's approach

2/ In terms of mech design, most PMs have used P2P architectures

In these designs, not only do LPs have to bootstrap each individual betting market but also the "yes" and "no" side of each market, effectively setting the odds and taking all the betting risk related to that mkt
3/ This means users' ability to bet on one side of a market is constrained by liquidity on the other side of that market

This has led to low liquidity, terrible odds and hardly any bet volume
Read 11 tweets

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