How can blockchain raw data become meaningful? The

Question

just_here_for_vibes · Accepted Answer

Basically, it's about turning garbage data on the chain into understandable metrics. Finally, someone has explained it clearly.

Data is abundant, but no one can understand it. Now, someone is translating it.

If this system is truly reliable, then those projects that used to boast about their data will have to show their true colors.

The more complete the metrics, the clearer the project's true nature. It feels more reliable than reading a white paper.

Wait, could this transformation system itself have problems?

Data can lie, and metrics can be faked. The key is who is doing the transformation.

Having a dual perspective sounds good, but how many can truly implement it effectively?

ContractTester · Answer

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.

BlockchainDecoder · Answer

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.

MetaverseMortgage · Answer

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.

HodlAndChill · Answer

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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