Traditional risk control measures such as KYC (Know Your Customer), auditing, and Delegated Investment endorsements are widely used in the Crypto Assets field, but they have not effectively curbed the frequent occurrence of fraud such as Rugpulls. The fundamental reason for this situation is that these methods primarily focus on "entry management" while neglecting the importance of "structural early warning."

In this context, Bubblemaps has proposed an innovative on-chain structure anomaly detection method. This method is not just a post-event analysis tool, but also a powerful preemptive insight capability. It can help users identify potential risk signals, such as multiple addresses concentrating their holdings of tokens but exhibiting highly similar behavior patterns, or certain wallets frequently interacting and selling off at critical moments.

This on-chain data-based structural analysis provides investors with more real and timely warning signals than traditional KYC documents. It can reveal abnormal operations that may exist behind the project, thus helping investors make informed decisions before risks occur.

It is worth noting that structural risks are often more destructive than code vulnerabilities and are usually easier to identify in advance. The key is to use the right analytical tools, such as platforms like Bubblemaps that are specifically designed to identify on-chain anomaly patterns.

In the current environment where risks frequently occur in the Crypto Assets market, investors need to be more vigilant and make good use of these new risk identification tools. By deeply analyzing on-chain data structures, we can better predict and prevent potential fraudulent activities, thereby protecting our interests in this rapidly developing yet challenging market.