2025-12-07 13:25:54

Recently, I'm working on a research project about attention—

If you quantify attention as a trading factor, how would you use it?

Current idea:
Treat attention as an index that can be financialized. Gather public social data and search trends, and combine them with historical coin prices to find the patterns between "attention" and "price volatility."

Simply put—
Follow the hype, but don't lose your own judgment. Where the market's attention goes, money may follow, but blindly chasing trends can easily turn you into a bagholder. So you have to understand the logic behind the data.

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FancyResearchLab

· 4h ago

Another useless innovation. Theoretically, it should work, but in reality, it's still just buying high and selling low. This contract is kind of interesting. I'll try out this smart pit first. Doing a little experiment to see if I can lock myself inside. Swapping hype for token price? Luban No. 7 is at it again. Maximum academic value, minimum practical value. That's all there is to it. Data can lie, and hype is even more deceptive. Those who follow blindly are all retail investors; I'm here for academic research. Locked my own wallet inside again. Now I'm an expert—still losing money.

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LidoStakeAddict

· 12-07 13:56

Sounds like just rebranding sentiment indicators, right? People have been doing this for a long time. The key is whether you can catch the bottom half a beat faster than others.

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CrossChainBreather

· 12-07 13:53

This idea is interesting, but the key is how you distinguish real hype from fake hype; otherwise, good-looking data is useless.

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BlockchainDecoder

· 12-07 13:52

This approach is interesting, but from a technical perspective, the lag and noise issues in social data haven't been fully addressed. It's also worth noting that the accuracy of sentiment analysis is often seriously overestimated. According to research, attention metrics inherently face a reflexivity dilemma—the moment you quantify them, market behavior changes. This is discussed in detail in behavioral finance. All in all, it's still important to avoid the pitfalls of overfitting. That said, tracking trends is essentially chasing information that's already reflected in the price—it's like playing catch-up with timing that's already passed. There are some issues with this approach.

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WhaleShadow

· 12-07 13:50

Damn, this approach is pretty interesting, but how do you deal with the lag in trending data? By the time you notice it, it's often already too late.

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MidnightSeller

· 12-07 13:49

The popularity indicator can indeed help with bottom-fishing, but you have to watch out for institutions manipulating it.

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SnapshotStriker

· 12-07 13:45

This approach is good, but in practice, attention data is too easily manipulated, especially the fake hype created by whales. Be careful not to get exploited.

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GasWaster

· 12-07 13:40

Using popularity as a trading factor? Sounds good, but I've seen too many people end up buying at the top with this approach.

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