Recently, when I look at those “coincidental transfers” on-chain, I’m getting less and less convinced that coincidence itself is the real issue… It feels more like the path hasn’t been broken down. For example, a transfer that comes out of a CEX hot wallet, makes two rounds of intermediaries, and then enters a contract that looks like a “new address”—it may just be doing isolation: splitting into buckets, routing through a proxy, and then aligning with a certain LP position. If you break it into three segments—“source—buffer—use”—most of the疑 points can be grounded and explained, without having to invent a story in your head.

This also addresses the tagging-system complaints everyone has been making lately: it’s normal for tags to lag by about half a step, and yes, they can genuinely be deliberately misleading. In any case, when I look at the data now, it leans more toward behavioral fingerprints (funds’ dwell time, frequency, and patterns like the same gas/nonce usage); tags are only treated as notes.

As for “long-term,” I define it in a rather down-to-earth way: not the kind of long-term you see in quarterly reports—at least after passing through two emotional cycles, roughly 6～10 weeks. If it gives you a chance to rebalance once, hedge once, and still sleep well, then that’s what counts.