AMMs lose pricing due to slippage. The Aquo solution enhances previous solutions from Uniswap v4 and Curve v1, to produce a lower slippage curve aimed at RWAs.
Following the emergence of AMMs (in 2008 led by Chen and others) various invariants emerged based on convex optimization. But the solutions all had varying degrees of slippage and capital efficiency was suboptimal. Aquo introduces better methods to reduce slippage and make capital more efficient.
Aimed at RWA AMM transaction, to make the AMMs more usable.
We are specialists in the DeFi, optimization, blockchains, capital efficiency, slippage, AMMs, and reinforcement learning (AI).
We wok to solve problems in DeFi (an emerging sector) and this involves a new protocol to improve AMMs and improve liquidity which is essential to make DeFi a more effective market segment attracting capital, users, and solving business problems.
We believe that optimization will make financial systems more effective which will widen their use, lowering costs to users, and widening access.
We improve on sum and product invariants extending Stableswap, Wombat and Platypus.
Capital efficiency can be improved by using coverage ratios.
By using concentrated liquidity, we can further improve capital efficiency.
Asset aggregation and liquidity aggregation.