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Ethereum 50% staking figure by Santiment draws criticism from researchers

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Ethereum 50% staking figure by Santiment draws criticism from researchers

Ethereum has crossed a symbolic threshold, with more than half the total ether (ETH) issued now held in its proof-of-stake (PoS) contract for the first time in the network’s 11-year history, Santiment said in a post on X that has been met with criticism.

The onchain analytics firm on Tuesday said that 50.18% of all ETH issued historically is now sitting in the staking deposit contract. The figure reflects cumulative ETH that has flowed into the contract since staking was introduced ahead of the network’s 2022 transition from proof-of-work to PoS.

According to CoinDesk data, the total supply of ether is 120.69 million tokens. Bitmine, the world’s largest ether-focused treasury firm, has 4.29 million ETH, of which 2.9 million is staked. According to Arkham data, the largest holder is the Eth2 Beacon Deposit Contract with 77.1 million or over 60% of the total supply. It holds the most because it serves as the central, mandatory gateway for staking to secure the blockchain. Beacon is followed by Binance with 4.1 million ETH, BlackRock with 3.4 million and Coinbase with 2.9 million.

While the tokens are staked, they cannot be transferred or traded. Withdrawals have been enabled since the Shanghai upgrade in 2023, allowing validators to exit and return ETH to circulation.

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That distinction prompted some analysts to caution against interpreting the 50% figure as a permanent supply lock.

‘Inaccurate and materially misleading’

“The post is inaccurate, or at least materially misleading,” Luke Nolan, senior research associate at CoinShares, told CoinDesk. “It references the one-way deposit contract used for ETH staking, but does not account for withdrawals. While ETH is sent into that contract when validators stake, it is not a permanent sink.”

Since withdrawals were enabled, ETH can exit the validator set and re-enter circulation, meaning that looking at the deposit contract balance alone can overstate the amount effectively staked, Nolan said.

“There is also an important nuance around the numbers being cited,” he added. “It is not correct to suggest that over 80 million ETH are currently staked. Roughly 80 million ETH have passed through the staking contract historically, but the amount actively staked today is closer to 37 million ETH, which is around 30% of the current circulating supply. That distinction materially changes the narrative.”

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Aleksandr Vat, BizDev at Ethplorer.io, agreed with Nolan and provided CoinDesk with supporting data reinforcing that distinction.

The Beacon deposit contract balance on the Etherscan tracker, currently around 80.97 million ETH, reflects cumulative deposits since launch and does not decrease when validators exit. Withdrawals are processed by minting ETH back to execution-layer addresses rather than subtracting from the deposit contract itself, Vat said.

According to active staking metrics, approximately 37,253,430 ETH are presently staked, based on data from Ethplorer and CryptoQuant, implying that staking represents 30.8% of the total supply.

Santiment’s 50% figure appears to compare the cumulative Beacon contract balance to historically issued supply prior to EIP-1559 burns, Vat said. While that may be mathematically consistent depending on the denominator used, it does not represent the amount of ETH currently locked or removed from circulation, he noted.

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Ethereum matures into ‘digital bond’

Even so, the milestone highlights how central staking has become to Ethereum’s economic design, Vineet Budki, partner and CEO at Sigma Capital, told CoinDesk. As participation rises, a larger share of ETH earns yield through validator rewards, reinforcing its positioning as a yield-bearing crypto asset, he said, adding he sees the development as evidence of Ethereum’s maturation into what he called a “digital bond.”

“Ethereum’s milestone of 50% staked supply marks its evolution into a digital bond, where the network’s security is fueled by long-term conviction rather than short-term speculation,” Budki said. “By locking half the total issuance in a one-way vault, the protocol has engineered a structural supply crunch.”

Budki also pointed to accelerating network activity, including a 125% year-over-year increase in daily transactions, a doubling of daily active addresses and an increase in tokenized real-world assets, much of it occurring on layer-2 networks that settle back to Ethereum’s base layer.

Nolan noted, however, that recent validator growth has been concentrated among large participants.

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“A significant portion of recent validator entries has been driven by large entities such as Bitmine and U.S.-listed ETFs, which have taken up a notable share of the entry queue,” he noted.

With staking levels continuing to climb, the debate shows just how Ethereum’s supply metrics, and how they are presented, can significantly shape market narratives, Budki concluded.

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Moonwell’s AI-coded oracle glitch misprices cbETH at $1, drains $1.78M

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Crypto VC Funding Reaches $244M as Mesh Leads

Moonwell’s lending pools racked up about $1.78M in bad debt after a cbETH oracle mispriced the token at nearly $1 instead of around $2.2k, enabling bots and liquidators to drain collateral within hours of a misconfigured Chainlink-based update reportedly using AI-generated logic.

Summary

  • Misconfigured cbETH oracle set price near $1 vs roughly $2.2k, triggering a ~99% valuation gap that broke Moonwell’s collateral math.
  • Liquidators repaid around $1 per position to seize over 1,096 cbETH, leaving Moonwell with roughly $1.78M in protocol-level bad debt.
  • Faulty formula and scaling logic were reportedly co-authored by AI model Claude Opus 4.6, spotlighting new DeFi risk around AI-written oracle and pricing code.

Decentralized finance lending protocol Moonwell suffered a $1.78 million exploit due to a pricing oracle bug that misvalued Coinbase-wrapped ETH (cbETH), according to reports from the platform.

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The vulnerability originated in oracle calculation logic reportedly generated by the AI model Claude Opus 4.6, which introduced an incorrect scaling factor in the asset price feed, according to the protocol’s disclosure. Attackers borrowed against severely underpriced collateral, extracting funds before the error was detected and corrected.

The cbETH mispricing effectively collapsed the collateral requirement for borrowing within affected pools. Because lending systems rely on accurate collateral ratios, the incorrect price allowed attackers to extract assets with minimal backing value, according to the protocol’s technical analysis.

Price oracles represent critical security components in DeFi lending systems. Incorrect asset valuation can enable under-collateralized borrowing or liquidation failures. Many major DeFi exploits have historically involved oracle manipulation or pricing errors rather than core protocol flaws, according to industry security reports.

The Moonwell incident differs from traditional oracle exploits in that the faulty logic appears linked to automated AI code generation rather than malicious oracle data feeds, according to the protocol’s preliminary investigation.

The exploit highlights risks associated with AI-assisted smart-contract development in financial applications. Language models can accelerate coding workflows, but financial protocols require precise numerical correctness, unit handling and edge-case validation, according to blockchain security experts.

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In DeFi systems, small arithmetic or scaling mistakes can translate into systemic vulnerabilities affecting collateral valuation and solvency. The incident raises questions about whether AI-generated contract components may require stricter auditing standards than manually written code, according to security researchers.

AI-assisted development is increasingly used across Web3 engineering workflows, from contract templates to integration logic. Security models and audit frameworks have not yet fully adapted to AI-generated contract code, according to industry observers.

The broader implications center on how automated code generation errors in financial logic represent a new category of DeFi risk. Oracle math, scaling factors and unit conversions remain high-precision domains where automation failures can propagate into protocol-level vulnerabilities, according to technical analysis of the incident.

As AI-assisted smart-contract development expands, audit methodologies will likely need to evolve toward verifying not only code correctness but generation provenance and numerical invariants, according to blockchain security firms.

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Kalshi Data Could Inform Fed Reserve Policy, Say Researchers

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Kalshi Data Could Inform Fed Reserve Policy, Say Researchers

Three researchers at the US Federal Reserve argue that prediction market Kalshi can better measure macroeconomic expectations in real time than existing solutions and thus should be incorporated into the Fed’s decision-making process.

The “Kalshi and the Rise of Macro Markets” paper was released on Feb. 12 by Federal Reserve Board principal economist Anthony Diercks, Federal Reserve research assistant Jared Dean Katz and Johns Hopkins research associate Jonathan Wright.

Kalshi data was compared with traditional surveys and market-implied forecasts to examine how beliefs about future economic outcomes change in response to macroeconomic news and statements from policymakers.

Source: Tarek Mansour

“Managing expectations is central to modern macroeconomic policy. Yet the tools that are often relied upon—surveys and financial derivatives—have many drawbacks,” the researchers said, adding that Kalshi can capture the market’s “beliefs directly and in real time.”

“Kalshi markets provide a high-frequency, continuously updated, distributionally rich benchmark that is valuable to both researchers and policymakers.”

Kalshi traders can bet on a range of markets tied to the Federal Reserve’s decision-making, including consumer price index inflation and payroll, in addition to other macroeconomic outcomes such as gross domestic product growth and gas prices.

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The Fed researchers said Kalshi data should be used to provide a risk-neutral probability density function, which shows all possible outcomes of Fed interest rate decisions and how likely each one is. 

“Overall, we argue that Kalshi should be used to provide risk-neutral [probability density functions] concerning FOMC decisions at specific meetings” arguing that the current benchmark is “too far removed from the monetary policy interest rate decision.”

However, Fed research papers are only “preliminary materials circulated to stimulate discussion” and do not impact the central bank’s decision-making.