KVORUM
aaveSource: Aave governor v2 · #164

Risk Parameter Updates for Aave V3 OP Market (2023-02-16)

executedFeb 25, 2023, 07:34 PM UTCby680x683a…6c02

01Summary

AISummary by Kvorumclaude-haiku-4-5

Gauntlet recommends parameter adjustments for Aave V3 on Optimism to maintain protocol risk tolerance and optimize the balance between insolvencies, liquidations, and borrow usage, following the community-aligned Risk Off Framework.

Type
parameter change

Key changes

  • Parameter updates on Aave V3 Optimism based on Gauntlet's agent-based simulations incorporating market data including asset volatility, correlation, collateral usage, DEX/CEX liquidity, and liquidator behavior(high)
  • Implementation aligned with community-approved Risk Off Framework for lowering liquidation thresholds(high)
  • Optimization across three core metrics: insolvencies, liquidations, and borrow usage(high)

Notable concerns

  • Specific parameter changes are shown in charts but detailed values are not fully articulated in text
  • Proposal execution depends on pre-deployed payload contract at 0x6bcE15B789e537f3abA3C60CB183F0E8737f05eC
  • Parameter recommendations are complex outputs from agent-based simulations and may not be fully transparent to all stakeholders
Contracts0x5f5c02875a8e9b5a26fbd09040abcfdeb2aa67110x6bcE15B789e537f3abA3C60CB183F0E8737f05eC
Generated by Kvorum
model: claude-haiku-4-5
provider: anthropic
profile: anthropic-fast-v1
prompt: v1.0
generated: 2mo ago
Read the description ↗

02Description

584 words

Summary

A proposal to make parameter changes on Aave V3 OP.

Abstract

These parameter updates are a continuation of Gauntlet’s regular parameter recommendations. Our simulation engine has ingested the latest market data (outlined below) to recalibrate parameters for the Aave protocol. The community has aligned on a Risk Off Framework regarding lowering liquidation thresholds.

Motivation

This set of parameter updates seeks to maintain the overall risk tolerance of the protocol while making risk trade-offs between specific assets.

Gauntlet's parameter recommendations are driven by an optimization function that balances 3 core metrics: insolvencies, liquidations, and borrow usage. Parameter recommendations seek to optimize for this objective function. Our agent-based simulations use a wide array of varied input data that changes on a daily basis (including but not limited to asset volatility, asset correlation, asset collateral usage, DEX / CEX liquidity, trading volume, expected market impact of trades, and liquidator behavior). Gauntlet's simulations tease out complex relationships between these inputs that cannot be simply expressed as heuristics. As such, the input metrics we show below can help understand why some of the param recs have been made but should not be taken as the only reason for recommendation. The individual collateral pages on the Gauntlet Risk Dashboard cover other key statistics and outputs from our simulations that can help with understanding interesting inputs and results related to our simulations.

For more details, please see Gauntlet's Parameter Recommendation Methodology and Gauntlet's Model Methodology.

Supporting Data on Aave V3 Optimism

Top 30 borrowers’ aggregate positions

Top 30 borrowers’ entire supply

Top 30 borrowers’ entire borrows

Specification

Implementation

This cross-chain proposal executes a pre-deployed optimism payload contract: 0x6bce15b789e537f3aba3c60cb183f0e8737f05ec

Copyright

Copyright and related rights waived via CC0.

By approving this proposal, you agree that any services provided by Gauntlet shall be governed by the terms of service available at gauntlet.network/tos. This message is for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation for any security, nor does it constitute an offer to provide investment advisory or other services by Gauntlet Networks Inc. No reference to any specific security constitutes a recommendation to buy, sell or hold that security or any other security. Nothing in this report shall be considered a solicitation or offer to buy or sell any security, future, option or other financial instrument or to offer or provide any investment advice or service to any person in any jurisdiction. Nothing contained in this report constitutes investment advice or offers any opinion with respect to the suitability of any security, and the views expressed in this report should not be taken as advice to buy, sell or hold any security. The information in this report should not be relied upon for the purpose of investing. In preparing the information contained in this report, we have not taken into account the investment needs, objectives and financial circumstances of any particular investor. This information has no regard to the specific investment objectives, financial situation and particular needs of any specific recipient of this information and investments discussed may not be suitable for all investors. Any views expressed in this report by us were prepared based upon the information available to us at the time such views were written. Changed or additional information could cause such views to change. All information is subject to possible correction. Information may quickly become unreliable for various reasons, including changes in market conditions or economic circumstances.

03Mismatch analysis

AIMismatch analysis by Kvorummedium confidenceclaude-sonnet-5
Consistent

The proposal description explicitly states that it operates by executing a pre-deployed Optimism payload contract at address 0x6bce15b789e537f3aba3c60cb183f0e8737f05ec. The single decoded on-chain action is a call to execute(address) with that exact address as the argument, matching the stated implementation mechanism precisely (this is the standard Aave cross-chain governance pattern where a bridge/executor invokes a payload contract that contains the actual parameter-setting logic). Since the payload contract's internal calls (the actual LTV/LT/etc. parameter changes described in the Specification image) are not separately decoded in the provided calldata, I cannot verify the exact numeric parameter values against the prose, but there is no evidence of a target mismatch, extra action, or omission at the level that is decodable. The address referenced in the description matches the address passed in the calldata argument exactly. Confidence is medium rather than high because the granular parameter changes inside the payload are not independently verifiable from the given decoded data, only the delegation call itself.

Generated by Kvorum
model: claude-sonnet-5
provider: anthropic
profile: anthropic-strong-v1
prompt: v1.0
generated: 2mo ago
Review the decoded actions ↗

04Actions

1 total
#0execute(address)chain 0x1
Target
0x5f5c…6711
Value
0 wei
Function
execute(address)
Arguments
{
  "0": "0x6bcE15B789e537f3abA3C60CB183F0E8737f05eC"
}
Calldata

05Tally

Summed from votes

Voters45
VP participating648.6K
Outcome (current)For
Current support100%

06Voters

45 total
Filter:
VoterChoice% of totalRationale
320x329c…3ed4For220.8K34.04%—4y ago
070x0703…961bFor106.9K16.48%—4y ago
620x62a4…816aFor81.2K12.52%—4y ago
B80xb83b…cf5cFor80.2K12.36%—4y ago
130x13bd…8548For80.2K12.36%—4y ago
B90xb933…8dd1For41.7K6.43%—4y ago
7A0x7ae1…e585For26.7K4.11%—4y ago
EA0xea17…6676For10.6K1.63%—4y ago
580x58ac…a73dFor388.20.06%—4y ago
D10xd1a4…9074For8.60.00%—4y ago
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Showing 45

07Forum

No forum thread is confidently linked to this proposal.