Recently, while studying blockchain data, I found that many newcomers are confused by the concept of "on-chain data." Actually, it's not that complicated. Simply put, it refers to all transaction information recorded on the blockchain, wallet activities, block details, and so on.

What does on-chain data include? The most basic is transaction details—who sent how much to whom and when. Then there’s wallet data, which can reveal what large holders are doing—very useful for judging market sentiment. It also includes block information, miner rewards, smart contract interactions, and more. Unlike off-chain transactions, these data are fully transparent and verifiable; once recorded, they cannot be changed.

Why should we pay attention to this data? I think the key reason is transparency. Everything on the blockchain can be verified, with no black box operations. Traders can analyze the historical records of on-chain data to find market patterns, and investors can better understand capital flows. All of this helps make more informed decisions.

In practical applications, on-chain data analysis is particularly interesting. Some people focus on whale wallets, tracking the movements of large holders. Others use it to detect abnormal transactions, quickly identifying potential scams or market manipulation. There are also those who assess the overall network health through metrics like transaction volume, network fees, and active addresses.

Regarding specific indicators, the number of active addresses reflects how many people are participating in transactions. Changes in network fees can indicate congestion levels and user behavior. These are essential parameters for traders and investors.

To dive deeper into on-chain data analysis, running your own node is too cumbersome, but luckily there are many professional tools. Coin Metrics offers extensive network and market data, along with formula generators. Glassnode’s products are especially user-friendly; even the free version provides a large amount of data points, and they regularly publish in-depth reports. DappRadar tracks over 3,000 dApps in real-time, which is very helpful for those wanting to understand the application ecosystem.

In summary, on-chain data is like a transparent window into the blockchain. Its immutability and openness guarantee the system’s security and credibility. Whether you’re a trader, investor, or developer, learning to interpret on-chain data can help you navigate this ecosystem more confidently.