CLOUD-2: Should Sanctum deploy up to 10M CLOUD in HawkFi CLOUD-USDC Vaults and/or Meteora DLMM pools?
Changelog
Proposal
All proposals have a deliberation process before officially tabled up to governance. This proposal has the following timeline:
- 7 days deliberation
- 3 days voting
Several firms have approached us wanting to buy CLOUD, but it’s difficult to buy CLOUD in size onchain without incurring large price impact. Current price impact ranges at about 6% for any trade size about 80k USD notional value. For example, trying to market buy 1M CLOUD on chain incurs a 5.60% price impact. It has thus been suggested that we deploy more CLOUD to boost on-chain liquidity.
As I’m not an expert on token liquidity, I am putting this proposal up to the community to answer the following questions:
Is this actually a problem we need to solve? How important is deep on-chain liquidity for the CLOUD token, really? There is such a thing as “too much” liquidity, just as there is “too little”. What’s the golden mean? How much CLOUD should we deploy, if any? What would count as success?
For CLOUD-002, I want to take a more collaborative approach in drafting the proposal, rather than doing “take-it-or-leave-it”. So, I want to present two options we’re currently considering in collaboration with the Meteora and Hawkfi teams:
Option 1: Deploy 7M CLOUD into a Meteora DLMM pool, and set aside 3M CLOUD for long-term incentives to liquidity providers.
A capital efficient manner of bootstrapping liquidity while providing more liquidity depth around CLOUD is to deploy CLOUD on a single-sided DLMM pool while simultaneously providing long term incentives on a liquidity pool.
With a spot-wide strategy, we would allocate 4M CLOUD uniformly between 0.11-0.24 to fill the current liquidity gaps. An additional 3M CLOUD between 0.24-0.60 reinforces the higher range and makes up for the impermanent loss on the first position if price goes up.
3M CLOUD would be set aside for LP incentives, rewarding LPs for actively providing liquidity into the pool (weighted by trading fees generated to the pool). Pool incentives would be deployed over the long term, for at least 18 months, but we can and should cut these incentives over time if our objectives are not met.
This would achieve several key benefits:
- Liquidity providers would be incentivized to keep their positions within range, earning long-term rewards allocated to the pool.
- Enhances on-chain trading volume and overall experience for CLOUD.
- CLOUD incentives would be directly distributed to LPs, allowing them to reinvest and provide deeper CLOUD liquidity by redeploying funds into the LP.
- As more participants optimize their liquidity concentration across different price levels to maximize fees, price impact would decrease significantly.
- Individual LPs would supply both USDC and CLOUD liquidity, naturally mitigating price impact on sell orders.
- Liquidity would be available across various price levels, further reducing price impact and improving the on-chain trading experience for CLOUD.
Deployment would take place in this Meteora DLMM pool, which currently accounts for 99.9% of all CLOUD trading volume on Solana.
Option 2: Deploy 5M CLOUD into Meteora DLMM pool for wide-range base liquidity. Deploy 3M CLOUD through HawkFi for tight-range autorebalanced liquidity to deepen liquidity at market price. Set aside 3M CLOUD for long-term incentives to liquidity providers.
With a spot-wide strategy, we would allocate 5M CLOUD uniformly between 0.11-0.60 to fill current liquidity gaps. 2M CLOUD would be set aside for LP incentives, rewarding LPs for actively providing liquidity into the pool. Pool Incentives would be deployed uniformly across 18 months.
Furthermore, in order to deepen liquidity and mitigate slippage & volatility especially at CLOUD market price, we would deploy 3M CLOUD through HawkFi into Meteora for tight-range autorebalanced liquidity to concentrate liquidity at prevailing CLOUD market prices.
Compared to the first approach, this approach would support CLOUD trading at wider price ranges, while tight-range autorebalanced liquidity supports deeper CLOUD trading at market prices to mitigate slippage & volatility
Of course, a third option is also possible – do something else entirely (or nothing at all). Every CLOUD is precious, and should not be frivolously spent. I look forward to your thoughts here and in the Discord, where a special subforum has been set up.