Pseudo-Anonymity Mapping

Pseudo-anonymity Mapping is the study of how assets flow between anonymous addresses and identified entities within the ecosystem. It focuses on the points of intersection where users move funds from private wallets to centralized exchanges or regulated protocols.

By mapping these connections, analysts can build a picture of the ecosystem's participants, even if many remain pseudonymous. This process helps in identifying the flow of capital and the degree of decentralization in a market.

It is used to assess the risk of contagion, as the interconnectedness of these participants can propagate failure across protocols. Mapping these flows is essential for understanding the true structure of the market and the behavior of its participants.

It provides a structural view of the crypto economy.

Narrative Momentum
Implied Volatility Surface Mapping
Input-Output Linkage
Slashing Risk Modeling
Entity Mapping
Jurisdictional Compliance Mapping
Interconnectedness Mapping
Merkle Tree Commitment