{"title":"逐点集中流动性拨备解决方案","authors":"Corinne Powers","doi":"arxiv-2405.18728","DOIUrl":null,"url":null,"abstract":"Automated market makers with concentrated liquidity capabilities are\nprogrammable at the tick level. The maximization of earned fees, plus\ndepreciated reserves, is a convex optimization problem whose vector solution\ngives the best provision of liquidity at each tick under a given set of\nparameter estimates for swap volume and price volatility. Surprisingly, early\nresults show that concentrating liquidity around the current price is usually\nnot the best strategy.","PeriodicalId":501045,"journal":{"name":"arXiv - QuantFin - Portfolio Management","volume":"44 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Tick-by-Tick Solution for Concentrated Liquidity Provisioning\",\"authors\":\"Corinne Powers\",\"doi\":\"arxiv-2405.18728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated market makers with concentrated liquidity capabilities are\\nprogrammable at the tick level. The maximization of earned fees, plus\\ndepreciated reserves, is a convex optimization problem whose vector solution\\ngives the best provision of liquidity at each tick under a given set of\\nparameter estimates for swap volume and price volatility. Surprisingly, early\\nresults show that concentrating liquidity around the current price is usually\\nnot the best strategy.\",\"PeriodicalId\":501045,\"journal\":{\"name\":\"arXiv - QuantFin - Portfolio Management\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Portfolio Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.18728\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Portfolio Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.18728","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Tick-by-Tick Solution for Concentrated Liquidity Provisioning
Automated market makers with concentrated liquidity capabilities are
programmable at the tick level. The maximization of earned fees, plus
depreciated reserves, is a convex optimization problem whose vector solution
gives the best provision of liquidity at each tick under a given set of
parameter estimates for swap volume and price volatility. Surprisingly, early
results show that concentrating liquidity around the current price is usually
not the best strategy.