Abstract
Integrating digital assets into traditional financial frameworks necessitates a nuanced reconciliation between stringent regulatory paradigms and the decentralized ethos of Web3 protocols. This paper explores the structural complexities inherent in this convergence, mapping potential compliance pathways that seek to balance anti-money laundering imperatives with chain-level privacy. By evaluating multi-party computation and decentralized identity architectures, the study conceptualizes a hybrid custodial model designed to mitigate systemic operational frictions. Furthermore, we address the limitations of linear treasury management when applied to highly volatile blockchain environments. Through an optimization framework that incorporates real-world asset tokenization and smart contract risk coefficients into traditional portfolio models, the research demonstrates how multi-chain liquidity aggregation might offer enhanced capital efficiency. However, the empirical analysis indicates that such optimizations remain contingent upon resolving cross-chain interoperability vulnerabilities and shifting jurisdictional approaches. Ultimately, the study suggests that while decentralized treasury protocols present plausible avenues for reducing cross-border friction, achieving absolute institutional-grade stability requires further empirical validation and adaptive regulatory sandboxes.

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