🛰️Risk Monitoring
Protecting Protocol Solvency through Evolving (& Volatile) Market Conditions
FluidNFT continuously monitors key metrics to enable timely data-driven decision making. These are used to classify the risk quantification of new loans as well as to make risk management decisions in response to black swan events and / or evolving market conditions.
Metrics
| Metric | Description |
|---|---|
Real-Time Appraisals | Floor, trait and token-level real-time appraisals of all supported NFT collections. |
Recovery Rates | Forward-looking estimates to predict the future collaterlisation of an NFT-backed loan, and the potential loss in case of default. |
Default Probability | A model to factor in the probability of a borrower defaulting on their loan; i.e. the likelihood of the protocol having to liquidate. |
Wallet Analytics | Borrowing collector risk-profile analysis based on their past wallet activity, loan repayments, and current capitalisation. |
Sentiment Scores | Scoring the positive / negative attitudes and opinions of both aggregated & targeted social profiles about specific collections. |
Liquidity Scores | A measure of the ease with which an NFT can be bought or sold in the market without affecting its price. |
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