Quantifying Price Improvement in Order Flow Auctions

Brad Bachu, Xin Wan, Ciamac C. Moallemi
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Abstract

This work introduces a framework for evaluating onchain order flow auctions (OFAs), emphasizing the metric of price improvement. Utilizing a set of open-source tools, our methodology systematically attributes price improvements to specific modifiable inputs of the system such as routing efficiency, gas optimization, and priority fee settings. When applied to leading Ethereum-based trading interfaces such as 1Inch and Uniswap, the results reveal that auction-enhanced interfaces can provide statistically significant improvements in trading outcomes, averaging 4-5 basis points in our sample. We further identify the sources of such price improvements to be added liquidity for large swaps. This research lays a foundation for future innovations in blockchain based trading platforms.
量化订单流竞价中的价格改进
这项工作引入了一个评估链上订单流拍卖(OFA)的框架,强调价格改进这一指标。利用一套开源工具,我们的方法系统地将价格改善归因于系统的特定可修改输入,如路由效率、气体优化和优先级费用设置。当应用到 1Inch 和 Uniswap 等领先的基于以太坊的交易界面时,结果显示拍卖增强型界面可以在统计上显著改善交易结果,在我们的样本中平均为 4-5 个基点。我们进一步确定了这种价格改善的来源,即增加了大额掉期的流动性。这项研究为未来基于区块链的交易平台创新奠定了基础。
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