This is the first in a series of monthly posts from Gauntlet with the goal of keeping the community informed of market risk pertaining to Aave V2.
|Old Liq.Bonus/LTV/Liq_Threshold||New Liquidation Bonus||New Moderate LTV||New Moderate Liq_Threshold|
|USDC (5%, 80%, 85%)||-||82.5||-|
|WETH (5%, 80%, 82.5%)||-||-||85|
|REN (10%, 55%, 60%)||9||-||-|
|BAT (10%, 70%, 75%)||9||-||-|
|YFI (15%, 40%, 55%)||12.5||45||60|
|BAL (10%, 55%, 60%)||-||65||70|
|MKR (10%, 60%, 65%)||-||65||70|
|ZRX (10%, 60%, 65%)||8||-||70|
|UNI (10%, 60%, 65%)||-||-||70|
|KNC (10%, 60%, 65%)||-||-||70|
|CRV (15%, 40%, 55%)||12.5||-||-|
|XSUSHI (15%, 25%, 45%)||12.5||35||60|
|ENJ (10%, 55%, 60%)||-||50||-|
|AAVE (10%,50%, 65%)||8||60||70|
|MANA (10%,60%,65%)||8||-||- -|
|SNX (10%,15%, 40%)||9||20||45|
- Passed with 10.66k AAVE votes YAE and 23 votes NAY
- Gauntlet provided three risk levels. Moderate and Aggressive levels received the majority of votes, with the former taking ~54% of the votes.
- Passed with 493k votes Yae and 0 votes Nay
- Passed with 509k votes Yae and 0.09 votes Nay
In the month since executing Gauntlet’s Dynamic Risk Parameter AIP, we have learned a lot about the preferences of the Aave community. This includes how market risk is perceived, incentive alignment for companies like ourselves, and the vision of the protocol’s future. With that new information, we have updated our priors on how we can best serve DAO.
With new assets like FRAX, potentially FEI, and others being added to V2, Gauntlet would like to propose supporting borrow caps when the protocol is upgraded. The Aave community has shown it is keen to expand the set of assets supported, and borrow caps have proven to be a key lever for Gauntlet in managing risk without adding friction to the user experience.
Gauntlet has also been researching further the Economic Optimization Function we formulated in our Aave Market Risk Assessment (see Appendix C.6). To sustain the DAO and expand Gauntlet’s impact on protocol growth, we would also like to propose supporting asset reserve factors. Our target timeline is November to publish an ARC for the community.
The Aave Risk Dashboard is on track with live market data and simulation statistics currently in testing.