Input-Output Pattern Analysis
Input-Output pattern analysis examines the structural relationships between the inputs and outputs of blockchain transactions to identify specific types of financial behavior. This includes analyzing the number of inputs versus outputs, the ratio of transaction amounts, and the sequencing of transactions over time.
These patterns can reveal the use of automated services, the structure of payment channels, or the intent behind large-scale asset movements. By recognizing these recurring structures, analysts can categorize transactions into distinct types, such as peer-to-peer transfers, exchange deposits, or complex smart contract interactions, which is vital for both regulatory compliance and market research.