[RFC] - Gauntlet - Dynamic Incentive Optimization for Uniswap V3 on Arbitrum

Thanks for your questions, @TimeRows

Dashboard Questions

We’ve created dashboards for our past and current engagements - they are for internal-use at our partners’ request. For Uniswap, we will build a bespoke, external-facing dashboard focused on the metrics we’ve outlined, such as changes to TVL and volume market share on relevant Arbitrum pools and the net benefit (described below) created through this program. This will be hosted and maintained by us and globally accessible via our Dashboards page on our website.

Key Metrics Question

In our objective function optimization post we used the following objective function for Uniswap that we intend to use to optimize on Arbitrum:

uniformula

Where we measure the net benefit from an incentives program as the change in the net present value of future expected protocol revenue (:small_red_triangle:PV) as well as the exogenous value of governance related to increased volume and liquidity market share (:small_red_triangle:G) minus the cost to run the program (Cost). To be conservative, Gauntlet will only consider the value of future expected protocol revenue from this program and ignore the governance value (thus setting a lower bound on net benefits from this program) against incentive spend cost.

Copied from our above response for further clarification: Although the fee switch has yet to be activated, focusing on monetization should be the long-term north star of any campaign like this. However, in the interim, we will focus on what’s tangible/achievable, such as additional LP fee generation, additional volume, and growing overall TVL. We will benchmark the program from Day 0 to the conclusion of the campaign and share the results both through our mid-point analysis as well as our final retroactive impact analysis.

Incentive-cost Breakdown Question

This is a similar question to @BristolBlockchain’s question above. To reiterate, our total ask is for 2M ARB. 1.7M ARB will be spent on incentives during this 8-month campaign, and 300K ARB (from the overall 2M) will fund a dedicated team focused on instantiation (including pre-launch analysis), active management of incentive allocations (weekly updates), the external facing dashboard, and the aforementioned mid-point and final retroactive impact analyses.

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