SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

Author:

Xu Jiahua1ORCID,Paruch Krzysztof2ORCID,Cousaert Simon3ORCID,Feng Yebo4ORCID

Affiliation:

1. UCL Centre for Blockchain Technologies, London

2. Vienna University of Economics and Business, Vienna, Austria

3. The Block, Oost-Vlaanderen, Belgium

4. University of Oregon, Eugene, Oregon, USA

Abstract

As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges (DEXs) with automated market maker (AMM) protocols have gained massive traction with the recently revived interest in blockchain and distributed ledger technology (DLT) in general. Instead of matching the buy and sell sides, automated market makers (AMMs) employ a peer-to-pool method and determine asset price algorithmically through a so-called conservation function. To facilitate the improvement and development of AMM-based decentralized exchanges (DEXs), we create the first systematization of knowledge in this area. We first establish a general AMM framework describing the economics and formalizing the system’s state-space representation. We then employ our framework to systematically compare the top AMM protocols’ mechanics, illustrating their conservation functions, as well as slippage and divergence loss functions. We further discuss security and privacy concerns, how they are enabled by AMM-based DEXs’ inherent properties, and explore mitigating solutions. Finally, we conduct a comprehensive literature review on related work covering both DeFi and conventional market microstructure.

Funder

Ripple under the University Blockchain Research Initiative

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference230 articles.

1. 2021. Defi Pulse. Retrieved from https://defipulse.com/.

2. 2021. Ethereum Improvement Proposals - EIP-20: Token Standard. Retrieved from https://eips.ethereum.org/EIPS/eip-20.

3. 2021. Rug Pull. Retrieved from https://coinmarketcap.com/alexandria/glossary/rug-pull.

4. Hayden Adams. 2018. Uniswap Whitepaper (v1). Retrieved from https://hackmd.io/C-DvwDSfSxuh-Gd4WKE_ig.

5. Hayden Adams Noah Zinsmeister and Dan Robinson. 2020. Uniswap v2 Core. Retrieved from https://uniswap.org/whitepaper.pdf.

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