# Oracle Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Oracle", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Vitalik: Building Index-Tracking Assets Based on Options Rather Than Debt

Vitalik Buterin proposes constructing index-tracking assets using synthetic options rather than debt-based mechanisms. The core problem is enabling exposure to a price index (T, e.g., USD/ETH) in a trust-minimized environment where only ETH is a trustless asset, relying solely on a decentralized oracle. Traditional approaches, like algorithmic stablecoins, use debt positions and require real-time, binding oracles for liquidations, which are difficult to secure. This article suggests a paradigm shift: eliminating liquidation and using options as the fundamental building block, requiring only a "slow" oracle. The design defines two synthetic assets, P and N, with parameters for the index T, a strike price S, and an expiry M. At any time, 1 ETH can be split to create a (P, N) pair or merged back. At expiry M, the oracle determines T's value x. P receives min(1, S/x) ETH, and N receives max(0, 1 - S/x) ETH. This structure inherently avoids insolvency risk (P+N=1) and can share an oracle with prediction markets. To gain stable exposure to T (e.g., USD), a user would hold deeply "in-the-money" P options (with S significantly below the current price) and periodically "roll" them to lower strikes as the price approaches the current strike, rebalancing their portfolio. This transfers the decision of *when* to act from a protocol-enforced liquidation (requiring a real-time oracle) to the user or an automated wrapper. Users can manage MEV risk and oracle dependency by choosing their rebalancing timing and data sources. A key trade-off is accepting some quadratic drift (deviation from perfect peg), estimated at 1-4% annualized volatility. Buterin argues this cost is reasonable compared to fiat currency volatility or equilibrium shifts in other stablecoins. The success of this model depends heavily on designing low-slippage market mechanisms for the rebalancing process, leveraging users' low time preference to execute trades patiently.

marsbit06/02 03:12

Vitalik: Building Index-Tracking Assets Based on Options Rather Than Debt

marsbit06/02 03:12

Top 10 Promising Emerging Hyperliquid Native Protocols to Watch

Title: A Review of 10 Emerging Native Protocols on Hyperliquid Hyperliquid is evolving beyond perpetual contracts into a comprehensive on-chain financial stack. This article highlights 10 key native protocols driving this growth: 1. **Monetrix**: A yield-optimizing protocol akin to Ethena, aggregating funding rates, HLP rewards, maker rebates, and HIP-3 into a single stablecoin yield. 2. **ROSETTA**: An automated stablecoin yield router, allocating USDC across top protocols (e.g., Felix, Aave, HLP) for optimal returns, factoring in gas and slippage. 3. **papertrade.xyz**: A fair-launched perpetuals protocol offering up to 1000x leverage, no funding rates, no slippage, and fully on-chain, oracle-based execution. 4. **alt.fun**: A launchpad where tokens are paired with leveraged perpetual positions (2x-5x), linking token price to trading activity and underlying position performance. 5. **Ventuals**: Pre-IPO perpetual contracts (built on HIP-3) allowing up to 10x leveraged speculation on valuations of private companies like SpaceX and Stripe. 6. **Liminal**: A delta-neutral yield protocol that captures funding rates via automated short positions and uses generated xTokens (xBTC, etc.) as DeFi collateral. 7. **Melt**: Brings tokenized stocks, commodities, and RWAs to Hyperliquid spot markets, enabling 24/7 trading alongside crypto assets. 8. **Chainsight**: An oracle and data infrastructure protocol providing low-latency (<3s) price feeds, volatility indices, and risk metrics for novel derivatives. 9. **rip.xyz**: Tokenized vault strategies on HyperEVM; its flagship rHYPURR offers liquidity and fractional exposure to a Hypurr NFT basket, priced hourly via NAV. 10. **Markets**: A perpetuals exchange (by Kinetiq) for trading stocks, forex, commodities, bonds, and crypto with up to 50x leverage, using USDH collateral and Kaiko oracles. These protocols form the foundational layer for generating real yield, liquidity, and innovative financial products natively on Hyperliquid.

marsbit05/21 12:39

Top 10 Promising Emerging Hyperliquid Native Protocols to Watch

marsbit05/21 12:39

On the Same Day Aave Introduced rsETH, Why Did Spark Choose to Exit?

On April 18, Kelp DAO's cross-chain bridge was exploited, resulting in the malicious minting of 116,500 unbacked rsETH. The attacker deposited these into Aave and borrowed WETH, creating a potential bad debt of approximately $195 million. Aave’s Guardian quickly froze the market, but the protocol’s insurance could only cover about 25% of the loss. In contrast, SparkLend, a lending protocol in the MakerDAO ecosystem, suffered no direct losses. This was not due to superior foresight but rather a preemptive governance decision. On January 29, Spark executed a governance action to discontinue new rsETH supply, citing low usage and high concentration from a single wallet. The same day, Aave expanded its rsETH market by enabling E-Mode with a 93% LTV to attract more deposits. Spark’s risk management framework is designed to remove assets with low usage or poor risk-adjusted returns, regardless of external security concerns. Aave’s decision was growth-oriented, aiming to boost WETH utilization and attract capital. Spark also employs additional safeguards: rate-limited supply and borrow caps that would have limited the scale of such an attack, and a robust oracle system using the median of three price feeds. These mechanisms systemically contain the maximum exposure to any single risk event, demonstrating a fundamentally different approach to risk than Aave’s growth-first model.

marsbit04/20 08:14

On the Same Day Aave Introduced rsETH, Why Did Spark Choose to Exit?

marsbit04/20 08:14

Bloomberg Terminal Earns Billions Annually from Data Intermediation, Now 6 Institutions Are Putting Data Directly On-Chain

Six major financial institutions — Fidelity, Euronext, Tradeweb, OTC Markets Group, Singapore Exchange (Forex), and Exchange Data International — have begun publishing proprietary market data directly on-chain via Pyth Network. This move bypasses traditional data intermediaries like Bloomberg, which has long dominated the financial data market with annual revenues of approximately $10 billion from its terminal business alone. The shift enables developers on over 100 blockchains to access high-quality, real-time financial data — including ETF valuations, fixed income data, FX rates, and OTC securities — without long-term contracts, steep fees, or proprietary hardware. This development is critical for the scalability of real-world asset (RWA) tokenization in DeFi, as reliable, institutional-grade data must be available on-chain before assets can be traded or used as collateral in decentralized protocols. Pyth’s model differs from earlier oracle solutions like Chainlink by sourcing data directly from institutional traders and exchanges rather than aggregating from third-party sources. While this approach offers higher speed and accuracy, it also involves a more centralized network of known publishers. The move challenges the decades-old monopoly of data middlemen and could significantly reduce barriers to entry for developers building DeFi products tied to traditional financial markets.

marsbit04/16 05:49

Bloomberg Terminal Earns Billions Annually from Data Intermediation, Now 6 Institutions Are Putting Data Directly On-Chain

marsbit04/16 05:49

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