Fintech

Bad bets on 'safe' tokens are fueling the crypto crash

Staked ether is the latest token to cause a liquidity crisis in the crypto market.

A piggy bank with money going in and out

The stETH token was supposed to be equal in value to ether. But that peg started to erode.

Illustration: Christopher T. Fong/Protocol

Three Arrows Capital, one of the biggest crypto hedge funds, is facing questions about its solvency amid a broader market meltdown.

The latest challenge involves staked ether, or stETH, a token on the Lido Finance network. The episode is the latest example of complex crypto derivatives once considered relatively safe — bets that have turned out quite differently in a broad crypto downturn. A dive into the mechanics of staked ether reveals how things can go wrong so quickly in crypto markets.

What’s at stake

Staking is a common concept in DeFi — essentially pledging a token and tying it up with smart contracts so it can’t be spent or sold, usually in exchange for earning an interest-like yield. It’s become a big part of Ethereum’s upcoming move to proof of stake, known as the Merge. Part of that involves letting investors stake ether to earn rewards on the new Beacon Chain.

Staking on the new chain locks up an investor’s ether until the Merge is complete. It also requires 32 ETH, or nearly $40,000 at recent prices, to participate. Lido created stETH to let smaller investors get in on staking rewards without the 32 ETH minimum, which in theory creates a more liquid market — it also lets them reinvest that stETH, which is otherwise locked up in so-called “liquid staking.”

Some DeFi investors have taken this risk to another level by engaging in a recursive trade by depositing ETH, getting stETH, then depositing stETH as collateral on a lending protocol such as Aave in order to borrow more ETH, and then go back to Lido to get more stETH.

This stETH token has become popular in DeFi, with the protocol grabbing 32% of all the ether staked on the Beacon Chain. And like UST, the stablecoin of the Terra network, it was until recently considered a relatively common and less risky trade in the risky world of crypto investing. In stETH’s case, this was due to the popularity of ether as the second-largest token and the widely expected finality of Ethereum’s Merge coming this year.

Investors just had to believe that the Merge would happen soon, and that in the meantime they could trade back out to ETH if they needed to. But the Merge now looks like it may happen later than expected because of technical challenges, another development that may have spooked investors in addition to the general market downturn.

Like UST, stETH also presented a liquidity problem once investors started to run for the exits, because unlike some other forms of crypto staking, the underlying ether tokens can’t be unlocked. And like UST, much of its liquidity was on Curve, a decentralized exchange focusing on liquidity between stablecoins and other similar coins with little slippage in trading.

The stETH token was supposed to be equal in value to ether. But that peg started to erode during the Terra collapse and was lately down about 6%. With investors looking for liquidity, selling pressure on stETH has increased.

That has also placed pressure on the Curve liquidity pool where stETH is traded. Typically such a pool would show a 50/50 split for stable assets, in this case a balance between stETH and ETH. Instead, more than 80% of the ETH/stETH pool is now stETH, indicating that investors are unloading stETH.

Enough arrows in the quiver?

Three Arrows Capital, which has invested in Avalanche, BlockFi and Polkadot and had $10 billion in assets in March per crypto analytics firm Nansen, was liquidated by top lending firms for at least $400 million, according to The Block, throwing its solvency into question.

One of the firm’s holdings was staked ether. Three Arrows withdrew more than 80,000 stETH from decentralized lending service Aave. It then traded 38,900 of stETH for ether, at more than a 5% discount to the cost of ether, according to Nansen.

Three Arrows co-founder Zhu Su tweeted a cryptic message Tuesday about trying to resolve problems. “We are in the process of communicating with relevant parties and fully committed to working this out,” he wrote.

The firm, also known as 3AC, has faced several challenges in recent weeks, including the Terra crisis. 3AC bought UST in an effort to prop up the network, which ultimately collapsed. The firm did not respond to a request for comment.

Celsius has also faced a liquidity crunch. The lending company announced on Sunday night that it had stopped all withdrawals, swaps and transfers. It is now reportedly seeking financial support and a possible restructuring.

The staked ether issue is Celsius’ latest challenge. Celsius had offered staking of various tokens for its customers, paying 6-8% on ether. It’s not clear what portion of its customers’ ether was in stETH, but Celsius itself had at least 409,000 stETH, worth roughly $463 million, in its wallets. With the imbalance in the Curve stETH pool noted above, unwinding that position could be difficult.

Alameda Research, the crypto trading firm founded by FTX CEO Sam Bankman-Fried, also reportedly recently sold 50,615 stETH, according to Coindesk.
Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

Keep ReadingShow less
Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

Keep ReadingShow less
FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
Enterprise

AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

Keep ReadingShow less
Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

Keep ReadingShow less
Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

Keep ReadingShow less
Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

Latest Stories
Bulletins