针对Uniswap V3去中心化交易所集中流动性做市商的回测框架

IF 6.9 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Andrey Urusov , Rostislav Berezovskiy , Yury Yanovich
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引用次数: 0

摘要

去中心化金融(DeFi)已经彻底改变了金融格局,像Uniswap这样的协议提供了创新的自动化做市机制。本文探讨了专门为集中流动性做市商(clmm)量身定制的回测框架的开发。重点是利用使用参数模型近似的流动性分布来估计流动性池内的奖励。本文详细介绍了在Uniswap V3上下文中这种新颖的回测方法的设计、实现和见解。开发的backtester成功地利用2023年的历史数据评估了几个矿池的奖励水平(Uniswap V3矿池用于不同费用水平的山寨币、稳定币和USDC/ETH)。此外,在评估期间对每个池的奖励水平进行建模的误差小于1%。这证明了回溯测试在量化流动性池奖励方面的有效性,以及它在估计流动性提供者(LP)收入作为池奖励的一部分方面的潜力,这是我们下一步研究的重点。backtester作为模拟交易策略和流动性提供场景的工具,为有限合伙人提供潜在回报的定量评估。通过整合统计工具来反映CLMM池流动性动态,该框架可以进一步用于在分散交易所中运营的有限合伙人的策略增强和风险评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Backtesting framework for concentrated liquidity market makers on Uniswap V3 decentralized exchange
Decentralized Finance (DeFi) has revolutionized the financial landscape, with protocols like Uniswap offering innovative automated market-making mechanisms. This article explores the development of a backtesting framework specifically tailored for Concentrated Liquidity Market Makers (CLMMs). The focus is on leveraging the liquidity distribution approximated using a parametric model to estimate the rewards within liquidity pools. The article details the design, implementation, and insights derived from this novel approach to backtesting within the context of Uniswap V3. The developed backtester was successfully utilized to assess reward levels across several pools using historical data from 2023 (pools Uniswap V3 for pairs of altcoins, stablecoins, and USDC/ETH with different fee levels). Moreover, the error in modeling the level of rewards for the period under review for each pool was less than 1%. This demonstrated the effectiveness of the backtester in quantifying liquidity pool rewards and its potential in estimating revenues of Liquidity Provider (LP) as part of the pool rewards, which is the focus of our next research. The backtester serves as a tool to simulate trading strategies and liquidity provision scenarios, providing a quantitative assessment of potential returns for LPs. By incorporating statistical tools to mirror CLMM pool liquidity dynamics, this framework can be further leveraged for strategy enhancement and risk evaluation for LPs operating within decentralized exchanges.
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来源期刊
CiteScore
11.30
自引率
3.60%
发文量
0
期刊介绍: Blockchain: Research and Applications is an international, peer reviewed journal for researchers, engineers, and practitioners to present the latest advances and innovations in blockchain research. The journal publishes theoretical and applied papers in established and emerging areas of blockchain research to shape the future of blockchain technology.
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