THE SHAPE OF ETHEREUM: A SIX-YEAR STUDY OF TOPOLOGICAL ANOMALIES

Summary from the TLDR Crypto newsletter

Researchers applied Topological Data Analysis to six years of Ethereum transaction data (2020-2025), segmenting daily activity into four layers and using Wasserstein distance to quantify structural changes between consecutive days. The pipeline flagged 86 anomalous periods, with 85% corresponding to documented events including Black Thursday liquidation cascades, DeFi repositioning two days after the Ukraine invasion, and post-Bybit hack fund dispersal across bridges. Unsupervised change-point detection identified six structural breaks tied to identifiable catalysts, and preliminary results show TDA features improve 7-day ETH volatility forecasts beyond GARCH baselines. Layer composition shifted from governance-dominated anomalies in 2024 (11 of 16 events) toward plain ETH transfers in 2025, though the absence of a labeled ground-truth dataset limits validation of which events structurally alter chain topology.