OurNetwork #139 (Part 2)
Coverage on Active LPs.
This illustrates the performance of our 0.05% WBTC-WETH pair on Ethereum mainnet for the past 30 days. The ranges are managed in accordance with our Autoregressive machine learning algorithm, which aims to widen and lessen liquidity ranges based on past volatility.
We provide pool simulations for B2B clients to analyze the price impact and capital efficiency gains of Uniswap V3. Providing liquidity within a +/-5% price band is ~40x more capital efficient. See this analysis for how wstETH/ETH liquidity could benefit from being managed on Uni v3 versus Balancer
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