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Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes

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arxiv 2309.12818 v3 pith:RZBBFFYY submitted 2023-09-22 q-fin.TR cs.CR

Daniel Kirste , Niclas Kannengie{ss}er , Ricky Lamberty , Ali Sunyaev This is my paper · ORCID
classification q-fin.TRcs.CR
keywords cryptoeconomicsystemsammsarchetypesautomateddesignengineeringmakers
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Designing automated market makers (AMMs) is crucial for decentralized token exchanges in cryptoeconomic systems. At the intersection of software engineering and economics, AMM design is complex and, if done incorrectly, can lead to financial risks and inefficiencies. We developed an AMM taxonomy for systematically comparing AMM designs and propose three AMM archetypes that meet key requirements for token issuance and exchange. This work bridges software engineering and economic perspectives, providing insights to help developers design AMMs tailored to diverse use cases and foster sustainable cryptoeconomic systems.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies

    q-fin.TR 2025-01 conditional novelty 5.0 of 10

    Long positions in correlated risky pools with narrow ranges, and short wide-range positions in stable-risky pools, were the most profitable Uniswap v3 strategies in 2022 to 2024.

  2. Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration

    q-fin.TR 2025-04 conditional novelty 4.0 of 10

    An LP interval-width optimization model, solved with sample average approximation on Uniswap v3 data, finds that full-range liquidity provision would have been the most profitable choice in the analyzed USDC/ETH period.

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