Nir Chemaya, Lin William Cong, Emma Jorgensen, Dingyue Liu, Luyao Zhang
{"title":"Uniswap Daily Transaction Indices by Network","authors":"Nir Chemaya, Lin William Cong, Emma Jorgensen, Dingyue Liu, Luyao Zhang","doi":"arxiv-2312.02660","DOIUrl":null,"url":null,"abstract":"DeFi is transforming financial services by removing intermediaries and\nproducing a wealth of open-source data. This transformation is propelled by\nLayer 2 (L2) solutions, aimed at boosting network efficiency and scalability\nbeyond current Layer 1 (L1) capabilities. This study addresses the lack of\ndetailed L2 impact analysis by examining over 50 million transactions from\nUniswap. Our dataset, featuring transactions from L1 and L2 across networks\nlike Ethereum and Polygon, provides daily indices revealing adoption,\nscalability, and decentralization within the DeFi space. These indices help to\nelucidate the complex relationship between DeFi and L2 technologies, advancing\nour understanding of the ecosystem. The dataset is enhanced by an open-source\nPython framework for computing decentralization indices, adaptable for various\nresearch needs. This positions the dataset as a vital resource for machine\nlearning endeavors, particularly deep learning, contributing significantly to\nthe development of Blockchain as Web3's infrastructure.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2312.02660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
DeFi is transforming financial services by removing intermediaries and
producing a wealth of open-source data. This transformation is propelled by
Layer 2 (L2) solutions, aimed at boosting network efficiency and scalability
beyond current Layer 1 (L1) capabilities. This study addresses the lack of
detailed L2 impact analysis by examining over 50 million transactions from
Uniswap. Our dataset, featuring transactions from L1 and L2 across networks
like Ethereum and Polygon, provides daily indices revealing adoption,
scalability, and decentralization within the DeFi space. These indices help to
elucidate the complex relationship between DeFi and L2 technologies, advancing
our understanding of the ecosystem. The dataset is enhanced by an open-source
Python framework for computing decentralization indices, adaptable for various
research needs. This positions the dataset as a vital resource for machine
learning endeavors, particularly deep learning, contributing significantly to
the development of Blockchain as Web3's infrastructure.