Cryptocurrency Credit Rating Systems: Are Current Solutions Reliable?

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Current crypto credit rating schemes are not very useful for assessing whether a centralized institution might run off with funds, but they already offer actionable reference value for evaluating DeFi protocol liquidation risks and on-chain lending health.

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The biggest difference between the two is that traditional credit ratings are based on 'willingness and ability to repay,' while existing solutions in the crypto space can currently only measure 'how much risk there is that collateral will be liquidated.'

Current State: Nearly Ineffective for Off-Chain Institutions, Usable for On-Chain Protocols

When evaluating centralized institutions (such as exchanges, lending platforms, and market makers), existing crypto rating schemes face challenges in timeliness, accuracy, and authority. The reason is that most of these ratings rely on asset and liability data voluntarily provided by these institutions, lacking unified disclosure and audit standards.

  • Direct Cause of Ineffectiveness: Key information (such as whether client funds have been misappropriated or the actual collateral situation) typically cannot be obtained on-chain and must rely on the institution's operational reports. Off-chain data without verification makes it easy for rating results to deviate from actual risk levels.

  • Practical Application Scenarios: If you are evaluating whether to deposit funds into a centralized wealth management platform, existing ratings can be referenced but should not be the sole basis for decision-making. A safer approach is to simultaneously verify whether the platform has an independent asset custody report and Proof of Reserves (PoR).

In contrast, current solutions are more practical when assessing risks of on-chain lending protocols. On-chain data is transparent and updated in real-time, allowing for relatively reliable risk models built using parameters such as liquidation thresholds, capital utilization rates, and collateral volatility.

Actionable Steps: How to Use Existing Schemes to Assess On-Chain Lending Risks

  1. Track Liquidation Prices: Any rating scheme will focus on the protocol's 'liquidation health.' You can directly check the protocol's main lending pairs (e.g., wstETH/ETH) to see how far the current price is from the liquidation line of major positions.

  2. Check Pool Utilization Rates: If a lending pool's 'utilization rate' is consistently near 100%, it indicates tight liquidity, meaning depositors may not be able to withdraw funds at any time. This is a risk point that rating schemes will flag.

  3. Verify Oracle Sources: Confirm whether the price oracle used by the protocol has sufficient safety thresholds (e.g., spread protection) for volatile assets to prevent manipulated liquidations during flash crashes.

  4. Review Historical Governance Events: Most rating reports will record whether the protocol has experienced bad debt due to governance attacks or parameter setting errors. Focus on records of emergency adjustments to liquidation lines or market freezes over the past year.

Limitations of Existing Schemes

  • Reliance on Voluntary Disclosure: Off-chain ratings, because data is not mandatory to be on-chain, are prone to 'beautification' in reports. Judgment criteria include whether the report references third-party audited asset custody data or relies entirely on the platform's self-reported liability figures.

  • Lack of Default History: Traditional credit ratings are backed by decades of default data. The crypto space has been too short to have a sufficient library of default events to validate rating accuracy, making it difficult to assess the true predictive power of current rating results.

  • Inability to Keep Pace with Changes: The token prices of some projects may plummet within hours, leading to sudden changes in risk levels, while the data update frequency of certain rating schemes may not keep up with real-time market changes.

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Result Verification: How to Determine if a Rating Report Is Worth Referencing

  • Does the report clearly distinguish between 'on-chain data verification portions' and 'institutionally self-reported portions'?

  • For protocol risks, does the report provide specificliquidation price rangesandcapital utilization ratedata, or only vague conclusions like 'low risk/high risk'?

  • Is there already a significant price difference (exceeding 10%-20%) between the report's publication time and the current market conditions?