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Analyzing Ethereum block builders: clustering strategies and profitability in the MEV- Boost ecosystem : master's thesis
ID Wolley, Benjamin Scott (Author), ID Škulj, Damjan (Mentor) More about this mentor... This link opens in a new window

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Abstract
This thesis examines the bidding behaviours and success metrics of Ethereum MEV-boost block builders during November 2023 and April 2024. These builders are responsible for the construction of over 90% blocks within the Ethereum blockchain system, generating tens of millions in profit each month. By employing Principal Components Analysis and K-means clustering on data from over 120 unique builders each month, the study identifies patterns in bidding strategies correlating with profitability and block-winning frequency. Key variables include bidding frequency, timing, and profit metrics. The research reveals a high concentration of success among a small subset of builders with Gini coefficients of 0.92 and 0.86 for the respective months. Successful builders demonstrated higher bidding intensity, greater slot participation, and more frequent bids within slots they participated in. Despite observing several significant changes in the total bids and bids per slot from November to April, profit distribution remained highly concentrated. These findings highlight the dominance of established entities in the Ethereum MEV-boost block-building ecosystem and suggest potential strategies improvements for less successful builders.

Language:English
Keywords:Ethereum, MEV-boost, block-building, k-means clustering, principal components analysis
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FDV - Faculty of Social Sciences
Place of publishing:Ljubljana
Publisher:B. S. Wolley
Year:2024
Number of pages:1 spletni vir (1 datoteka PDF (83 str.))
PID:20.500.12556/RUL-164136 This link opens in a new window
UDC:004(043.2)
COBISS.SI-ID:216069123 This link opens in a new window
Publication date in RUL:17.10.2024
Views:82
Downloads:103
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Secondary language

Language:Slovenian
Title:Analiza graditeljev blokov v sistemu Ethereum: razvrščanje v skupine in dobičkonosnost v ekosistemu MEV-Boost : magistrsko delo
Abstract:
Ta magistrska naloga preučuje vedenje pri licitiranju in merila uspebnosti graditeljev blokov Ethereum MEV-boost v obdobju med novembrom 2023 in aprilom 2024. Ti graditelji so odgovorni za gradnjo več kot 90 % blokov znotraj sistema Ethereum blockchain in mesečno ustvarjajo desetine milijonov dobička. S pomočjo analize glavnih komponent in razvrbčanja v skupine po metodi voditeljev na podatkih o več kot 120 različnih graditeljev vsak mesec identificiramo vzorce v strategijah licitiranja, ki so povezani z dobičkonosnostjo in pogostostjo zmagovalnih blokov. Ključne spremenljivke vključujejo pogostost licitiranja, časovne strategije in metrike dobička. V analizi odkrijemo visoko koncentracijo uspebnosti pri majhnem btevilu graditeljev z Ginijevim koeficientom 0,92 oziroma 0,86 za posamezna meseca. Uspebni graditelji imajo vibjo intenzivnost licitiranja, večjo udele~bo v časovnih oknih ter pogostejbe ponudbe znotraj časovnih oken. Kljub opa~enim pomembnim spremembam v skupnem btevilu ponudb in ponudb na časovno okno od novembra do aprila je porazdelitev dobička ostala močno koncentrirana. Ugotovitve poudarjajo prevlado uveljavljenih subjektov v ekosistemu gradnje blokov Ethereum MEV-boost in nakazujejo mo~ne strategije za izboljbanje uspeha manj uspebnih graditeljev.

Keywords:Ethereum, MEV-boost, gradnja blokov, razvrščanje v skupine po metodi voditeljev, analiza glavnih komponent

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