What whale timing reveals across tokens and NFTs

I’ve been experimenting with analyzing large wallets across both token trades and NFT activity instead of treating them as separate worlds.

A few things stood out:

Some wallets that look inactive on tokens are very active in NFTs (and vice versa).

Timing patterns often matter more than transaction size — bursts vs steady accumulation tell very different stories.

NFT activity frequently lines up with token moves in ways that aren’t obvious when you look at each in isolation.

Hybrid behavior (human + automation) seems to be the norm for larger wallets.

What surprised me most is how much context you gain once you combine both views. Looking at tokens alone or NFTs alone hides a lot of behavior.

Curious if others here track NFTs alongside token flows, or if you’ve found timing/rhythm to be useful when analyzing large wallets.