In the financial industry, the importance of trading behavior signals is self-evident, but achieving a balance between protecting privacy and maximizing data value has always been a challenge. Recently, an innovative solution has attracted industry attention.

The core of this solution lies in utilizing blockchain and zero-knowledge proof technology, enabling financial institutions to put valuable trading pattern signals on the blockchain without exposing the original data. Specifically, banks can locally generate aggregated signals, such as anomalous payment patterns or industry cash flow rhythms, and then upload these signals to the blockchain through zero-knowledge proofs or verifiable aggregations.

This approach brings multiple benefits: First, it ensures data privacy, as the original transaction records always remain within the bank; second, the on-chain signals can be subscribed to and used by other institutions, forming a pay-for-performance model based on smart contracts; furthermore, this method meets regulatory requirements for traceability and compliance.

More importantly, this model could stimulate a whole new data ecosystem. Large banks can earn additional revenue by providing high-quality signals, while small and medium-sized financial institutions have the opportunity to turn their unique market insights into valuable assets. This not only lowers the data usage threshold for the entire industry but also promotes broader data sharing and value creation.

With the promotion of this model, we may see a new paradigm of data usage in the financial industry: protecting privacy while enabling value circulation, significantly enhancing the risk control capabilities and innovative potential of the entire industry. This may represent another breakthrough in data governance for financial technology, worthy of continuous attention and discussion by industry professionals.