Concentrated Liquidity Market Makers: CMU Research Powered by Allium Data
Carnegie Mellon researchers used Allium's blockchain data to study game-theoretic liquidity provisioning across Uniswap v3 pools.
Researchers at Carnegie Mellon University cited Allium as the data source in their study of how liquidity providers behave in concentrated liquidity market makers, published in the Proceedings of the ACM on Measurement and Analysis of Computing Systems.
What the paper looks at
Game theoretic liquidity provisioning in concentrated liquidity market makers models how liquidity providers position capital in Uniswap v3 style pools, and what that means for returns and market efficiency.
Where Allium comes in
The authors collected Swap, Mint, and Burn events across four Uniswap v3 pools on Ethereum directly from Allium, then used that data to estimate pool liquidity and drive the empirical analysis.
We thank Allium for providing access to their blockchain data platform.
Read it
Open access (arXiv): https://arxiv.org/abs/2411.10399
Published version (ACM): https://doi.org/10.1145/3711700
Tang, W., El-Azouzi, R., Lee, C. H., Chan, E., & Fanti, G. (2025). Game theoretic liquidity provisioning in concentrated liquidity market makers. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 9(1), Article 7.
