Blockchain Heuristic Analysis

Blockchain heuristic analysis is the application of logical rules and assumptions to infer relationships between different addresses on a public ledger. Because most blockchain addresses are pseudonymous, analysts use these heuristics to group addresses that likely belong to the same entity.

Common heuristics include the multi-input assumption, which suggests that all inputs in a single transaction are controlled by the same person. Another heuristic involves identifying change addresses based on transaction patterns and amount structures.

By applying these rules consistently, analysts can build large clusters of addresses linked to a single wallet or exchange. This process is foundational for understanding market microstructure and identifying the participants behind large trades.

It turns raw transaction data into actionable intelligence for risk management.