Gauntlet Profile picture
Jul 24 3 tweets 2 min read Read on X
📝 Uniswap Arbitrum Liquidity Mining Full Program Retro

Today, we published an in-depth report and analysis outlining our Uniswap Arbitrum liquidity mining campaign results.

The campaign's goal was to explore the potential of a self-sustaining flywheel effect by incentivizing liquidity, improving price execution, and increasing volume market share on various Uniswap pools. To accomplish this, we strategically deployed 1.8M ARB tokens (~$1.7M USD at the time of commitment).

The high-level results were positive

• $15.5M in market share-adjusted TVL added to targeted pools during the program
• $10.6M of TVL maintained in targeted pools post-incentives
• $9.11 of TVL added per $1 of incentives during the program
• $5.99 of TVL added per $1 of incentives post-incentives

Volume and fees also increased significantly

• $823M in market share-adjusted volume added during the program, equating to $259 of volume added per $1 spent
• $318M in volume maintained post-incentives, reflecting $119 per $1 spent
• $725K in market share-adjusted LP revenue
• $114K in LP revenue maintained post-incentives, amounting to $1.37M in projected LP fees over the next 12 months.
• $187 in additional volume for every $1 spent on incentives

Takeaways and next steps

Alongside strategies like Protocol-Owned Liquidity (POL), Liquidity Mining (LM) remains a vital tool in our arsenal for enhancing onchain liquidity. LM provides significant leverage by bootstrapping a large amount of liquidity and TVL relative to the amount of dollars spent in the short term.

We will apply these learnings and strategies to future LM efforts. This combination of strategies enables us to effectively achieve these incentive programs' goals and maximize their impact. We are currently supporting the @arbitrum UADP/LTIPP incentivization program, where select pools will systematically be allocated incentives to encourage TVL growth.

Read our full report below 👇Image
Results and Analysis: Uniswap Arbitrum Liquidity Mining Program

gauntlet.xyz/resources/resu…
@Uniswap Read more about our Arbitrum UADP/LTIPP incentivization program here: forum.arbitrum.foundation/t/uniswap-ltip…

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Gauntlet

Gauntlet Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @gauntlet_xyz

May 23
1/ A few weeks ago, we published a thread on AVS allocation research we've been doing for @ether_fi. Today, we publish the full report!

The report covers:

1️⃣ AVS commitments
2️⃣ Impacts of adding AVSs
3️⃣ Optimal allocations to ensure $eETH maximizes risk-adjusted yield

👇🧵 Image
@ether_fi 2/ Given payments and slashing are not live, this framework remains theoretical.

We start off by determining an initial restake per operator given @ether_fi's existing commitments and operator set.
@ether_fi 3/ We assume commitments will remain static, and aim to reduce the second-order downside of AVS slashing.

To accomplish this, we recommend minimizing allocation to a single operator by spreading allocations evenly while accounting for commitments of varying sizes.
Read 11 tweets
May 20
1/ We added additional LRT and LST markets to the Gauntlet LRT Core MetaMorpho vault on @MorphoLabs to diversify collateral risk and optimize for yield.

Newly added markets are outlined below 🧵👇
@MorphoLabs 2/ $pufETH, a native LRT by @puffer_finance, generates restaking rewards through native restaking on @Eigenlayer.

Details: the pufETH/WETH market has an LLTV of 86%, an initial supply cap of 1,000 WETH, and uses the @redstone_defi market rate oracle.
@MorphoLabs @puffer_finance @eigenlayer @redstone_defi 3/ $rswETH, is a native liquid restaking token by @swellnetworkio.

Details: the rswETH/WETH market has an LLTV of 86%, an initial supply cap of 300 WETH, and uses the Redstone market rate oracle.
Read 9 tweets
May 17
1/ With LRTs continuing to garner significant adoption, a framework for evaluating risks is paramount for users to understand the market risk landscape for each token.

Today, we published a blog on LRT market risk as part of our partnership with @EigenLayer.

Let's dive in👇🧵 Image
2/ Our LRT Risk Framework is broken down into 4 attributes:

1️⃣ External Liquidity
2️⃣ Withdrawals
3️⃣ Volatility
4️⃣ DeFi Risk

Read on for more on how we define and evaluate these.
3/ External Liquidity

When evaluating an LRT's external liquidity, we want sufficient depth without over-dependence on a single provider.

Ideally, the largest whales can exit without a significant impact on price.
Read 9 tweets
Jul 8, 2022
🚀We are excited to launch our @synthetix_io Risk Dashboard!

The dashboard will help the community understand how Gauntlet’s recommendations mitigate risk and increase capital efficiency for the protocol👇

gov.gauntlet.network/synthetix
Gauntlet has now built the infrastructure to ingest market data and run simulations and economic stress tests on the @synthetix_io ecosystem.
Value at Risk, Liquidations at Risk, and Mint Usage are topline Risk and Capital Efficiency measures. VaR/LaR convey capital at risk due to insolvencies/liquidations when markets are under duress (i.e., Black Thursday).
Read 5 tweets
Mar 15, 2022
Our mission is to drive understanding and participation in the financial systems of the future.

We're hiring across the board to do so!
How hard are these problems? tl;dr very hard

"We are taking on the formidable engineering challenges associated with building predictive models of aggregate user behavior across DeFi" @ChiangRei, Co-Founder / CTO. "We leverage our Agent Based DSL to run thousands...
...of simulation scenarios parallelized across a cluster of machines, while taking into account the underlying market micro-structure such as market liquidity dynamics and network congestion trained on of the latest on/off-chain data"
Read 6 tweets
Aug 5, 2020
Given the astounding run-up in $AMPL price and market cap, much has been said about its mechanism.

We took a closer look at AMPL — analyzing the token's historical and trading behavior observed across exchanges.

gauntlet.network/reports/amplef…
We explored strategies that AMPL traders might build upon, particularly around rebase events.

From this analysis, we observed what you might expect: rebase events have in practice driven traders to trade around them (there is an increase in trading before & after the event).
Now just because people trade around these events, it doesn't mean they will be able to forever — these strategies *need* to be profitable or people will stop trading if they just lose money.

But don't take our word for it, look at the data and analysis!
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(