> For the complete documentation index, see [llms.txt](https://docs.fluidnft.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fluidnft.org/risk-management/risk-framework/risk-monitoring.md).

# Risk Monitoring

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

<table><thead><tr><th width="225">Metric</th><th>Description</th></tr></thead><tbody><tr><td>Real-Time Appraisals</td><td>Floor, trait and token-level real-time appraisals of all supported NFT collections. </td></tr><tr><td>Recovery Rates</td><td>Forward-looking estimates to predict the future collaterlisation of an NFT-backed loan, and the potential loss in case of default.</td></tr><tr><td>Default Probability</td><td>A model to factor in the probability of a borrower defaulting on their loan; i.e. the likelihood of the protocol having to liquidate. </td></tr><tr><td>Wallet Analytics</td><td>Borrowing collector risk-profile analysis based on their past wallet activity, loan repayments, and current capitalisation. </td></tr><tr><td>Sentiment Scores</td><td>Scoring the positive / negative attitudes and opinions of both aggregated &#x26; targeted social profiles about specific collections.</td></tr><tr><td>Liquidity Scores</td><td>A measure of the ease with which an NFT can be bought or sold in the market without affecting its price. </td></tr></tbody></table>