Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies

To trade tokens in cryptoeconomic systems, automated market makers (AMMs) typically rely on liquidity providers (LPs) that deposit tokens in exchange for rewards. To profit from such rewards, LPs must use effective liquidity provisioning strategies. However, LPs lack guidance for developing such strategies, which often leads them to financial losses. We developed a measurement model based on impermanent loss to analyze the influences of key parameters (i.e., liquidity pool type, position duration, position range size, and position size) of liquidity provisioning strategies on LPs' returns. To reveal the influences of those key parameters on LPs' profits, we used the measurement model to analyze 700 days of historical liquidity provision data of Uniswap v3. By uncovering the influences of key parameters of liquidity provisioning strategies on profitability, this work supports LPs in developing more profitable strategies.

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Publication Details

Published
2025-03-31
DOI
https://doi.org/10.1145/3672608.3707833
Citations
4
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
8.83

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article

Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies

Niclas Kannengießer, Daniel Kirste, Ali Sunyaev, Thanos Drossos
4 citations
Financial Markets and Investment Strategies
8.83
article

Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies

Niclas Kannengießer, Daniel Kirste, Ali Sunyaev, Thanos Drossos
article en
4 citations

Abstract

To trade tokens in cryptoeconomic systems, automated market makers (AMMs) typically rely on liquidity providers (LPs) that deposit tokens in exchange for rewards. To profit from such rewards, LPs must use effective liquidity provisioning strategies. However, LPs lack guidance for developing such strategies, which often leads them to financial losses. We developed a measurement model based on impermanent loss to analyze the influences of key parameters (i.e., liquidity pool type, position duration, position range size, and position size) of liquidity provisioning strategies on LPs' returns. To reveal the influences of those key parameters on LPs' profits, we used the measurement model to analyze 700 days of historical liquidity provision data of Uniswap v3. By uncovering the influences of key parameters of liquidity provisioning strategies on profitability, this work supports LPs in developing more profitable strategies.

Karlsruhe Institute of Technology (DE), Heilbronn University (DE), Technical University of Munich (DE)
Karlsruhe Institute of Technology
Partnerships for the goals
Openalex Percentile: Top 3%
Financial Markets and Investment Strategies
8.83
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