Recently, I've been looking at some address profiling/tag clustering tools. Basically, they label a bunch of addresses as "whale/institution/smart money" and then conveniently draw a flow of funds. The reference is helpful, but I now increasingly see it as a "clue" rather than a "conclusion" — the same person using multiple wallets across multiple chains and bridging back and forth can easily be clustered together; plus, with exchange hot wallets, custody, and market-making flows, the tags may look accurate but are actually just reflecting high traffic.

The social mining approach of "attention equals mining" also feels similar: the data exists, but incentives distort it, so attention doesn't necessarily equal genuine financial intent. Anyway, my own method remains the old routine: first look at the overall net inflow/outflow, then use position limits as a safety net. Tags are just cues, not navigation.