How can blockchain raw data become meaningful? The key lies in data transformation. Industry research institutions establish standardized transformation systems to convert massive on-chain data into truly usable financial and application metrics. Specifically, they perform quantitative analysis on core dimensions such as capital deployment, expenses, revenue streams, and also track user engagement metrics like daily active users. This comprehensive metric system covers both the capital side and the user side, helping investors and developers better understand the actual operational status of projects. From market capacity to ecosystem activity, every number reflects the true pulse of the on-chain economy.

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ContractTestervip
· 15h ago
Speaking of which, it still depends on this kind of standardized system; otherwise, on-chain data is just a bunch of nonsense—who can understand it? Institutions that excel at data transformation are indeed rare; most are just making up metrics. Understanding capital flow and the number of real users are indeed the key dimensions to distinguish between genuine and fake projects, thumbs up. On-chain data has been dragging on for so many years, still lacking this kind of systematic transformation approach. In plain terms, it's about turning on-chain noise into signals. It sounds simple, but actually doing it is really not easy.
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BlockchainDecodervip
· 15h ago
According to research, the core value of this standardized transformation system lies in eliminating the "noise interference" in on-chain data. From a technical perspective, relying solely on raw on-chain metrics is of limited significance; the key is to connect data from the capital side and the user side—this point caught my attention when I was reading a certain paper, and it was very well articulated. It is worth noting that secondary indicators such as daily active users and capital deployment often more accurately reflect the health of the ecosystem, making them much more reliable than simply looking at TVL.
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MetaverseMortgagevip
· 15h ago
In simple terms, it's about turning on-chain data into understandable information. This operation definitely needs to keep up. Otherwise, just looking at raw data is purely blind. The data transformation system is crucial; otherwise, how can investors judge the viability of a project? Really, only when the indicator system is well-established does it have significant reference value. The pulse of on-chain economy sounds good, but you have to ask whether the data quality is truly reliable. Standardizing the transformation system is a good thing, but it seems many research institutions still do their own thing.
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HodlAndChillvip
· 16h ago
Well said, data transformation is the key. Anyone can look at on-chain numbers. I've always thought this is the most overlooked part; everyone just focuses on price action. This set of indicator systems can indeed tell whether a project is truly valuable or just storytelling. People who understand are using this method for valuation, while retail investors are still listening to KOLs in the crypto space. The dual perspective design is pretty good; it finally connects capital and users.
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