In the field of Digital Money investment, many people often rely on intuition or trends to make decisions. However, truly experienced investors will first focus on on-chain data. The structure of a Token directly affects its level of risk, and mastering the right analytical tools is like having a powerful magnifying glass.



By using on-chain analysis tools, investors can quickly perform a "health check" on a project. This process can be simplified into three key steps:

1. Assess Token Concentration
Observe the Token distribution chart. If you find that a few large holders occupy the majority of the supply, it usually indicates that the Token is highly concentrated and can be easily manipulated. In contrast, a healthy project should exhibit a relatively dispersed holding distribution.

2. Analyze the relationship network
Carefully observe the flow of funds between the main holders. If these seemingly independent addresses are frequently transferring funds, it may suggest that the project has issues with "pseudo-decentralization."

3. Check the liquidity allocation
Stable projects usually lock a portion of the tokens in staking contracts or liquidity pools. These addresses often have clear identification. If it is difficult to find such a reasonable distribution, it may indicate a lack of project transparency or potential risks.

Through these three steps, investors can form a clear judgment on the basic health status of a project in a short period of time.

It's important to remember that while prices may be manipulated and project stories may be packaged, the on-chain data distribution does not lie. Learning to interpret this data is like adding a layer of protection to your investment decisions.

In the rapidly changing cryptocurrency market, mastering this on-chain analysis skill can not only help investors avoid risks but also gain insights into potential investment opportunities. With the development of technology, this analysis method will become increasingly important, serving as the foundation for wise investment decisions.
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