Ethereum co-founder Vitalik Buterin has introduced a groundbreaking framework targeting the vulnerabilities in current algorithmic stablecoins and synthetic assets.
His proposal, detailed in a recent Ethereum research forum post, highlights the critical weakness of real-time oracle dependency in existing stablecoin designs.
Buterin argues that the demand for instantaneous and precise price feeds not only complicates the technical architecture but also exposes systems to manipulation risks.
To address these challenges, Buterin’s new model replaces the traditional debt and liquidation mechanisms with an option-based structure, aiming to eliminate forced liquidations entirely.
This innovative approach divides one Ethereum token into two distinct assets, a protected position and a leveraged position, each tied to a specific strike price and maturity date.
Option-Based Structure Replaces Liquidations
In Buterin’s system, at maturity, an oracle resolves the relevant index value, and the Ethereum token is allocated between the two positions according to a predetermined formula.
Crucially, the sum of these two positions always equals exactly one Ethereum, effectively removing the risk of insolvency caused by undercollateralized debt positions.
Current algorithmic stablecoins often face critical failures during sharp price drops, triggering immediate liquidations that rely heavily on real-time oracle data. Such scenarios can lead to severe losses if oracles malfunction or are manipulated.
Buterin’s model offers a more gradual risk distribution tied to price movements, avoiding abrupt liquidations and their associated vulnerabilities.
Reducing Oracle Dependency with Slow Oracle Mechanism
A key advantage of the new framework is its compatibility with “slow oracle” systems, commonly seen in prediction markets. Unlike real-time oracles that demand instant and indisputable price outputs, slow oracles allow for dispute periods, human intervention, and broader scrutiny to mitigate manipulation risks.
This approach contrasts sharply with existing liquidation systems that depend on immediate oracle responses, which Buterin identifies as single points of failure.
His model requires only that the system settles at maturity, removing the need for second-by-second binding price data and significantly enhancing security against oracle-based attacks.
Challenges Around Rebalancing
Despite its promise, the model introduces complexity in the rebalancing process. Users must actively adjust their positions before maturity to maintain desired risk exposure, as the relationship between the strike price and exposure is non-linear.
Buterin acknowledges this as a notable trade-off but believes the rebalancing can be managed effectively.
The main challenge lies in executing rebalancing without incurring high slippage costs. Buterin suggests shifting from instantaneous transaction logic toward a unilateral market-making approach, noting that users typically do not require rebalancing at exact seconds, which could simplify the process.
A New Direction for Stablecoins
This proposal builds on Buterin’s broader vision shared earlier in February, where he suggested prediction markets could evolve beyond speculative betting into AI-powered hedging tools and personalized price index baskets. The new research outlines the blockchain mechanics necessary to realize this vision.
If successfully implemented, this option-based stablecoin model could present a flexible alternative to traditional fiat-pegged stablecoins, enabling more adaptable structures for personal inflation baskets, regional price indices, and synthetic assets.
