Market risk · updated
What holder concentration tells you
How to read a distribution figure, and the questions it cannot answer.
In short
- There is no universal threshold — context decides what a figure means.
- Holder counts are cheap to inflate and are the weaker number.
- Unavailable holder data is not evidence of good distribution.
Why there is no magic number
The same top-ten share means different things for a governance token with a treasury, a memecoin two hours old, and a token where much of the supply sits in the pool. A single published threshold would be wrong in most of those cases, so ScanZX scores concentration as a weighted factor and shows the inputs rather than announcing a pass mark.
The useful question is whether the distribution is consistent with what the project says about itself. A fair-launch claim next to a sixty-percent top-ten share is a contradiction, and resolving it is more informative than any threshold.
Holder count is the weaker figure
Addresses cost almost nothing on every chain covered here, so a large holder count can be manufactured for a few dollars. It is reported because it is useful in combination — a low holder count alongside high concentration describes a market that is thin on both measures — but on its own it is close to meaningless.
Concentration after sensible exclusions is the figure that carries the weight.
Where the metric runs out
Concentration measures capability, not intent. A large holder may be a long-term treasury, a market maker, or somebody about to exit, and the number is identical in all three cases.
It also says nothing about value. Supply can be beautifully distributed across ten thousand wallets and the token can still be worth nothing. Structural metrics describe how a market can fail mechanically; they are silent on whether the thing is worth holding.