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How a 2.85% Price Error Triggered $27M in Liquidations on Aave

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How a 2.85% Price Error Triggered $27M in Liquidations on Aave

Key takeaways

  • A temporary 2.85% pricing discrepancy in wstETH collateral triggered about $27 million in liquidations on Aave, showing how even small technical issues can have major financial consequences in automated DeFi lending systems.

  • The liquidation wave occurred because Aave’s system briefly valued wstETH at about 1.19 ETH instead of its market value near 1.23 ETH, making some borrowing positions appear undercollateralized.

  • Price oracles are critical infrastructure in DeFi because they feed external market data to smart contracts, determining collateral values, loan health and when automated liquidations should occur.

  • The root cause was not a faulty price feed but a misconfiguration in Aave’s CAPO risk oracle system, where outdated smart contract parameters created a temporary cap on the token’s exchange rate.

Decentralized finance (DeFi) protocols use automated logic to handle everything from collateral management to risk assessment. While this setup enables a truly open and permissionless financial system, it also means that minor technical issues can snowball into significant financial disruptions.

According to risk monitoring firm Chaos Labs, a market downturn on March 10, 2026, triggered approximately $27 million in liquidations for Aave borrowers, clearly illustrating this vulnerability. In a single 24-hour window, approximately $27 million in user positions were liquidated. Surprisingly, this was not caused by a massive market sell-off but by a brief 2.85% price discrepancy affecting wrapped staked ETH (wstETH) collateral.

This event serves as a stark reminder of how critical price oracles and robust risk management frameworks are to the stability of the DeFi ecosystem.

The article explains how a 2.85% pricing discrepancy in wstETH collateral triggered about $27 million in liquidations on the Aave lending protocol. It highlights how oracle configurations, smart contract parameters and automated liquidation mechanisms can amplify small pricing errors in DeFi markets.

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A sudden surge in liquidations

When a wave of liquidations occurred across Aave markets, Chaos Labs, which tracks lending protocols for unusual activity, quickly identified and flagged the surge. Early speculation among observers pointed to a possible malfunction in the price oracles, which may have mispriced collateral assets on the platform.

Price oracles serve as critical bridges, supplying external market prices to onchain applications. In lending protocols like Aave, these feeds determine whether a borrower’s collateral still sufficiently covers their loan. When the collateral value falls below the required threshold, the system triggers the automatic liquidation of the position.

The asset at the center of this event was wstETH, a token commonly used as collateral across DeFi lending ecosystems.

Did you know? Liquidations on lending protocols like Aave often happen faster than traditional margin calls. Because DeFi markets operate 24/7 through automated smart contracts, positions can be liquidated within seconds once collateral ratios fall below the required thresholds.

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What is wstETH?

wstETH, or wrapped staked Ether (ETH), is a token issued through the Lido protocol, a leading liquid staking protocol.

When users stake Ether via Lido, they initially receive stETH, which represents their staked ETH plus accrued staking rewards. To improve compatibility with various DeFi applications, stETH can be wrapped into wstETH.

Due to the ongoing accumulation of staking rewards, one wstETH generally holds a value slightly above one ETH. This makes it a particularly attractive and widely adopted form of collateral in DeFi lending markets.

The pricing discrepancy

During the liquidation wave, a mismatch appeared between wstETH’s actual market value and the valuation applied by Aave’s risk system. Aave’s algorithm priced wstETH at approximately 1.19 ETH, whereas the broader market valued it closer to 1.23 ETH.

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This roughly 2.85% difference caused positions collateralized by wstETH to appear more undercollateralized than they actually were.

As a result, certain borrowing positions fell below their required safety thresholds, triggering Aave’s automated liquidation process.

Why price oracles are critical in DeFi

Price oracles are essential infrastructure in DeFi. Blockchains cannot natively fetch real-world market data, so oracle services supply external price feeds for assets. These feeds directly influence:

A reported drop in collateral price can lead the protocol to deem a loan insufficiently backed, prompting the automatic liquidation of the position.

Because this mechanism operates algorithmically, even minor pricing deviations can cascade into substantial consequences.

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Did you know? A small price discrepancy can have outsized effects in DeFi. Even a brief deviation in an oracle or market price of just a few percent can trigger cascading liquidations. This is especially true when many borrowers use highly leveraged positions backed by volatile crypto collateral.

The real cause: CAPO risk-oracle misconfiguration

Deeper analysis confirmed that Aave’s primary price oracle was operating normally.

The root issue instead lay in the correlated assets price oracle (CAPO) risk oracle module, an additional protective layer applied to select assets.

CAPO is specifically designed to cap the rate at which the value of yield-bearing tokens like wstETH can rise. This safeguard helps protect the protocol against abrupt price surges or potential oracle exploits.

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In this case, however, a configuration inconsistency within CAPO triggered the problem.

Technical breakdown of the error

Chaos Labs disclosed that the fault originated from outdated parameters stored in a smart contract.

Two key values had fallen out of alignment:

Because these were not refreshed in tandem, CAPO computed a temporary ceiling on the allowable exchange rate that sat below the prevailing market value.

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This caused the protocol to undervalue wstETH by approximately 2.85% relative to its prevailing market price.

Did you know? Aave relies on price oracles, which are data feeds that supply real time asset prices to smart contracts. If these feeds briefly reflect unusual market prices from exchanges, the protocol automatically recalculates collateral values and may trigger liquidations.

The liquidation cascade

As soon as collateral ratios fell below the required thresholds, Aave’s automated liquidation engine activated.

Liquidators, typically high-speed trading bots, stepped in by repaying a portion of the borrower’s debt and, in return, acquiring the underlying collateral at a built-in discount.

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Across the event, roughly $27 million in borrowing positions were liquidated.

Liquidators ultimately extracted around 499 ETH in combined profits and liquidation bonuses, capitalizing on the short-lived pricing misalignment.

No bad debt incurred by the protocol

Even with the volume of liquidations, Aave remained at zero bad debt. Aave founder Stani Kulechov stated that there “was no impact to the Aave Protocol.”

Chaos Labs said the platform’s core risk and liquidation mechanisms functioned as designed once positions breached their thresholds. Once positions breached their safety thresholds, liquidations proceeded according to design.

The disruption therefore remained confined to affected individual borrowers and did not threaten the protocol’s overall solvency or stability. The resulting artificial depression in collateral value pushed several borrowing positions below their liquidation thresholds.

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Aave governance proposed compensating affected users through refunds funded by recoveries and decentralized autonomous organization (DAO) treasury support. This approach aligns with a shifting pattern in DeFi governance, where protocols increasingly view technical incidents as systemic infrastructure risks. They may move to compensate impacted users rather than leave them to bear permanent losses.

A reminder of oracle risk in DeFi

The event underscores that oracle design remains one of the most vital and vulnerable elements of DeFi infrastructure.

Even minor configuration mistakes can trigger outsized consequences when automated mechanisms oversee billions of dollars in collateral value.

Comparable episodes have occurred on other DeFi platforms. For example, a misconfigured oracle once temporarily valued Coinbase’s wrapped staked ETH (cbETH) at around $1 instead of approximately $2,200, sparking widespread disruption.

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Such cases highlight the ongoing challenges of maintaining reliable, accurate price feeds in decentralized financial systems.

wstETH and Lido were not responsible

Contributors from the Lido ecosystem made it clear that the liquidations did not stem from any malfunction or flaw in wstETH itself.

The token operated normally throughout the event, and the underlying Lido staking protocol remained fully functional and unaffected.

The primary issue appears to have stemmed from how the Aave lending protocol processed and interpreted price data through its own risk management configuration.

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Lessons for the future of DeFi

As decentralized finance continues to scale, protocols are incorporating increasingly sophisticated risk management systems to accommodate yield-bearing assets such as wstETH.

These assets present unique pricing challenges because their value increases steadily over time through accumulating staking rewards.

Effective risk models must therefore properly handle:

Even minor misalignments in these elements can escalate into widespread liquidation events.

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China Control over Taiwan by 2026 Targeted, Crypto Market Recovers

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Crypto Breaking News

Incidents of military activities near Taiwan are on the rise

The latest news updates indicated that the Chinese army reinforcements augmented activities around Taiwan. The defense authorities of Taiwan have spotted a number of aircraft and naval ships navigating around the island in the recent days.In a case, at least twenty six aircraft of the Chinese military has flown close to the island on Saturday (as per the Taiwan defense ministry). Also, sixteen planes flew into various areas of Taiwanese Air Defense Identification Zone and seven Chinese vessels were also on the water.

The current action is also the part of the continued pressure development by Beijing which is aimed at putting pressure around Taiwan. We have also seen that the Chinese military has been carrying out patrols and exercises in the Taiwan Strait, which enables China to assert its position militarily and at the same time strengthens its self-assertion. There are also more air and naval activities that indicate that Beijing is keen on continuing its presence in the region.

Taiwan has retaliated by enhancing its defensive planning. The National Chung Shan Institute of Science and Technology confirmed fresh initiatives to come up with cost effective air defense ammunition.Lt. Gen. Lee Shih chiang clarified that the systems are meant to counter mass use of low cost weapons. The defense planners of Taiwan are of the view that this will curb the overpowering of the available missile systems.

Political Manoeuvre is a source of tension

Military activity also went along with the heightening of political tensions. Recently Taiwan President Lai Ching-te has highlighted increased defense budget and security of the democratic regime in Taiwan by the country China.Taiwan Affairs office China lamented against such comments and cautioned about any actions that may fuel tensions. Chinese authorities in Beijing mentioned that the leadership in Taiwan must not undertake any measures that enhance confrontation.

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In the meantime the cryptocurrency market also began displaying recovery in spite of the geopolitical pressures. Bitcoin rose to almost seventy four thousand dollars and contributed to the general mood in the market since some digital assets appreciated as investors were lured back to risk markets following previous losses. The market players are still monitoring the political situation globally since the situation is still tense.

The geopolitical tensions worked out of Taiwan after China reinforced the timeline of reunification, which was 2026 and the military activity near the island. Taiwan has consolidated defense preparations as the international markets such as cryptocurrencies keep responding to the changing international trends.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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OpenAI Targets $10B Private Equity Joint Venture to Accelerate Enterprise AI Deployment

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • OpenAI is in advanced talks with TPG, Bain Capital, Brookfield, and Advent International for a $10B joint venture deal.
  • Private equity firms will invest $4 billion in exchange for equity stakes and board seats inside OpenAI’s operations.
  • OpenAI’s Frontier product lets enterprises deploy AI coworkers, with customers including Uber, Oracle, State Farm, and HP.
  • Both OpenAI and Anthropic are racing to lock in enterprise contracts ahead of highly anticipated initial public offerings.

OpenAI is reportedly in advanced discussions with several major private equity firms to form a joint venture. TPG, Bain Capital, Brookfield, and Advent International are named as parties to the proposed deal.

The arrangement carries a pre-money valuation of roughly $10 billion. Private equity firms would collectively invest $4 billion in exchange for equity stakes and board seats.

This development positions OpenAI for rapid, large-scale corporate adoption across PE-managed portfolios worldwide.

Private Equity Opens the Door to Hundreds of Portfolio Companies

The proposed joint venture gives OpenAI access to hundreds of companies managed under private equity. TPG alone manages over $200 billion in assets across diverse industries.

These firms collectively control airlines, hospitals, retail chains, logistics networks, and media outlets. Rather than pursuing individual corporate clients, OpenAI would reach entire portfolios through a single deal structure.

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Board seats as part of the arrangement also give PE firms direct influence over OpenAI’s deployment decisions. Their role goes beyond writing checks — it involves shaping how AI tools are rolled out.

As noted by @MilkRoadAI, these firms own companies spanning millions of workers and trillions in combined assets. OpenAI effectively gains a distribution network built over decades of PE operations.

At the center of this deal sits a product called Frontier, launched last month. Frontier allows enterprises to build and manage AI coworkers for real business functions.

Current customers already include Uber, State Farm, Oracle, and HP. The product targets organizations looking to automate core workflows using purpose-built AI agents.

Beyond software, OpenAI introduced Forward Deployed Engineers as a companion enterprise offering. These are full-time OpenAI staff who embed physically inside client companies.

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They map existing workflows, integrate AI into systems, and hand back an operational solution. The minimum contract for this service starts at $10 million per engagement.

OpenAI and Anthropic Race to Lock In Enterprise Adoption Before IPO

OpenAI’s enterprise business already generates $10 billion in annualized revenue, reflecting strong corporate traction. That figure positions the company ahead of a possible public offering.

Anthropic is also pursuing enterprise customers through a similar deployment strategy. Both companies are working to secure corporate adoption before going public.

The competition to control enterprise AI infrastructure has grown considerably in recent months. Whoever embeds deepest into corporate systems holds lasting leverage over long-term contracts.

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OpenAI’s Forward Deployed Engineers are already active inside global banks, telecoms, and automotive companies. Their presence now covers operations across three continents.

The private equity route sidesteps the traditional enterprise sales cycle entirely. Instead of pitching each company individually, OpenAI moves through PE firm relationships at scale.

MilkRoadAI described this as OpenAI finding “a backdoor” into PE-owned companies. That framing speaks to the speed and reach this deal structure could provide.

The proposed joint venture marks a shift in how AI companies pursue large-scale deployment. Private equity’s operational depth makes it a natural distribution channel for enterprise AI.

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OpenAI appears to be constructing both a technology platform and a corporate access machine simultaneously. The outcome of these talks may define how AI reaches major organizations in the years ahead.

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Polymarket Users Threaten Reporter to Change Iran Strike Story

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Polymarket Users Threaten Reporter to Change Iran Strike Story

Prediction markets platform Polymarket says it has now banned and reported users who pressured an Israeli journalist with death threats to amend a news article about an Iranian missile strike that was the subject of a $17 million prediction market. 

The Times of Israel military correspondent Emanuel Fabian wrote in a report on Monday that he began receiving messages to change his report about an Iranian missile that struck outside the Israeli city of Beit Shemesh on March 10.

“As far as I now understand, the emails I received were intended to confirm whether or not a missile had hit Israel on March 10 in order to resolve a prediction on Polymarket,” he wrote.

The market allowed bets on what date Iran would strike Israel, with over $17 million currently wagered on March 10. 

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The rules state the market “will resolve to ‘Yes’ if Iran initiates a drone, missile, or air strike on Israel’s soil on the listed date,” however, a clause in the rules adds that “missiles or drones that are intercepted” wouldn’t be counted even if they land in Israel.

“My minor report on a missile striking an open area was now in the middle of a betting war, with those who had bet ‘No’ on an Iranian strike on Israel on March 10 demanding I change my article to ensure they would win big,” Fabian wrote.

Trading volumes on prediction markets, the largest being Polymarket and Kalshi, have surged in the past year, but critics and lawmakers have warned that popular markets tied to war and political events could incentivize insider trading.

Journalist gets death threats over report

Fabian said he received emails, messages and calls to change his report to say the strike was a missile fragment, with one individual also fabricating a message to make it appear that Fabian agreed the missile was intercepted.

Fabian said he received lengthy, threatening messages in Hebrew from someone called “Haim,” who told him to alter the report or there would be “damage you have never imagined you would suffer.”

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Fabian said Haim warned he was “at risk,” that they would invest money “to finish you,” that he “made a fatal mistake” and that he had made “enemies who will be willing to pay anything to make your life miserable.”

Haim also gave “specific details” about his parents, family and neighborhood, he added.

Fabian said he went to the police over the threats, who are now investigating.

Polymarket said in a statement posted to X on Monday that it “condemns the harassment & threats directed at Emanuel Fabian — or anyone else for that matter.”

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Related: Israel arrests two over Polymarket trades on military operations

“This behavior violates our Terms of Service & has no place on our platform. We’ve banned the accounts for all involved & will pass their info to the relevant authorities,” it added.

Fabian added that, before the threatening messages, a colleague from another media outlet had contacted him, saying an acquaintance was requesting to change the report. 

That journalist later confronted their acquaintance over the request, who admitted to placing bets on Polymarket and offering a portion of the winnings if the report was changed.

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“The attempt by these gamblers to pressure me to change my reporting so that they would win their bet did not and will not succeed,” Fabian said. “But I do worry that other journalists may not be as ethical if they are promised some of the winnings.”

The results of the market over when Iran would strike Israel on Polymarket were in dispute at the time of writing, with “No” bettors asserting the explosion on March 10 was an intercepted missile.

However, Fabian later reported that the Israeli Defense Forces confirmed the missile that exploded outside of Beit Shemesh was not intercepted.

Magazine: How crypto laws changed in 2025 — and how they’ll change in 2026

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