Transaction Graph Analysis

Transaction graph analysis is a method used to map the flow of assets between addresses by treating blockchain transactions as nodes and edges in a directed graph. By tracing these connections, analysts can cluster addresses that likely belong to the same entity, effectively de-anonymizing participants who attempt to hide their activity.

This technique is a cornerstone of market microstructure research, as it allows for the identification of large institutional movements or whale behavior that might influence price discovery. In the context of regulatory compliance, it is used to trace the movement of funds from illicit sources or to identify wash trading patterns in decentralized exchanges.

While privacy-preserving protocols attempt to break these graphs, analysts look for heuristics such as change-address patterns or common fee structures to re-establish links. It is a powerful tool for fundamental analysis, providing insights into the distribution of tokens and the concentration of ownership within a network.

This analysis bridges the gap between raw ledger data and actionable financial intelligence.