Summary
Gauntlet is excited to provide a deep dive into our Dashboard and highlight some key features and use cases. Our public front end is a key pillar in serving the Euler community with data about positions and risks affecting the protocol. We expose the same data we use in our analysis internally, allowing the community to work in parallel with us. This post highlights some of the key features.
Components
Protocol and Market Summaries
The Risk Overview section provides top level metrics about risk on the protocol, specifically value at risk (VaR), liquidations at risk (LaR), and Borrowing Power. These values are aggregated across all markets where Gauntlet is managing risk, specifically the Governed vaults on Eth Mainnet and Base. Additional chains are being added to our platform, within 4 weeks of launch.
The market summary pages provide consolidated insights about the assets commonly borrowed and supplied on the protocol. This helps users draw conclusions on which assets drive revenues and risk for the protocol, and how that’s changed over time. The timestamp below the title indicates when the data was last updated, usually 3 hours or less.
Liquidations
Liquidations are tantamount to the functioning of distributed lending markets. Successful liquidations mitigate the risk of insolvency (bad debt) on the protocol during time of rapid asset price volatility. We present both the notional dollar volume and total count of liquidations, in addition to statistics around the borrow assets repaid.
Asset Overview
The asset tab lists the assets available as collateral on a given market, ordered by supply.
Below it, we present a heatmap of the LLTVs by collateral (y-axis) and debt asset (x-axis). Higher LLTVs are more capital efficient, but leave less buffer for price volatility leading to insolvencies. For this reason, riskier assets (those with higher price volatility) will generally have lower LLTVs.
Asset Specific Metrics
By clicking on the “details” button, users can view additional details specific to a collateral asset, including market statistics such as DEX trading volume, price volatility, and typical borrower such as utilization and collateralization ratios.
Account Explorer
Users can explore positions in two ways:
- At the market level, the high level tab surfaces all accounts on a given market, sorted on total collateral supplied.
- This feature is targeted at folks who want to interact with the dataset and learn interesting patterns about protocol user positions.
- On collateral asset pages, the same account explorer is displayed filtered on the given collateral asset.
- This feature provides a rich picture of positions collateralized by a given asset, sorted on asset supplied in context with other key metrics such as the liquidation curves, value at risk, liquidations at risk, asset price volatility, etc.
- This instance guides the users to look into the riskiest borrowers against a given collateral asset, and consider their health factor, position update history, etc.
- Having a separate view enables us to include asset specific columns like “BTC supplied” that we couldn’t surface on the market level tab.
Features and Navigation
Navigation - move between market and asset pages via the “breadcrumb” menu at the top of the dashboard screens.
Tooltips - we’ve added tooltips on every chart and data tile to provide definitions and context around how each datapoint is calculated and why it matters. Hover over the circle with the “i” next each title to view.
Timestamps - each datapoint displays a timestamp that defines when the data was fetched relative to the user’s current timezone. Note: the data will not currently update automatically while you have the dashboard displayed. You must hit refresh if you want the latest data. Upon hover, the date and time of the dataset will appear, like so:
Filters - charts with more than one data series have filter functionality, represented by a funnel icon at the top right. Click on the icon to expand the menu to select / deselect any series. You may also click on the series names in the legend to filter them out. Charts are filtered individually (applying one filter on a chart will not affect any other charts).
Full screen views - click on the two opposing arrows icon at the top right of any chart to expand to full screen. This view will also provide you a unique URL that allows you to reference a specific chart directly, such as in a tweet or hyperlink.
Check it for yourself! Our Dashboard is live for markets on Ethereum, with Base launching later this week. Let us know if you have any comments, feedback, or suggestions on this post.