一个数据集Uniswap每日交易指数的网络网络
Nir Chemaya1, Lin William Cong2, Emma Jorgensen1
1University of California, Santa Barbara, Santa Barbara, 93106, USA.
Scientific data
|January 17, 2025
概括
第二层 (L2) 解决方案提高了去中心化金融 (DeFi) 的可扩展性. 这项研究分析了5000万笔交易,创建了DeFi采用和分散的指数,帮助Web3研究.
科学领域:
- 区块链技术 区块链技术
- 分散的金融 (DeFi)
- 金融数据分析 金融数据分析
背景情况:
- 分散金融 (DeFi) 允许直接的点对点交易,产生大量的开放金融数据.
- 2层 (L2) 解决方案对于提高DeFi生态系统的可扩展性和效率至关重要,超出了1层 (L1) 网络.
- 由于缺乏全面的交易数据指数,L2解决方案在DeFi中的经济影响和采用仍未得到充分探索.
研究的目的:
- 通过在L1和L2网络上分析大规模的DeFi交易数据集来弥合数据差距.
- 为关键的DeFi指标开发每日指数,包括采用,可扩展性,去中心化和财富分配.
- 为机器学习和Web3的研究人员提供一个有价值的,开源的数据集和框架.
主要方法:
- 分析了来自Uniswap的5000多万笔交易,这是一个著名的去中心化交易所.
- 使用来自以太坊,乐观主义,Arbitrum和Polygon的区块链数据创建每日指数.
- 开发一个开源的Python框架来计算去中心化指数.
主要成果:
- 全面的每日指数提供了对不同区块链网络DeFi趋势的洞察.
- 通过L2解决方案促进DeFi采用和可扩展性改进的量化.
- 一个公开可用的数据集和工具集,用于 Web3 中的高级经济和机器学习研究.
结论:
- 该研究为了解DeFi的演变和L2扩展解决方案的影响提供了关键的数据指数.
- 开源框架有助于进一步研究去中心化和智能Web3生态系统.
- 这项工作支持数据科学家和研究人员推进分散金融领域的发展.
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