Field manual 13 · Hermes Legion University

Holder Distribution

Count control, not merely addresses

Analyze meme coin holder concentration by separating pool and program accounts, measuring top wallets, tracing clusters, and watching distribution change.

Long-form field guidePractical exampleChecklist + FAQs

Short answer

Analyze holder distribution by cleaning the raw list, labeling known infrastructure, calculating concentration, and testing whether separate wallets may be linked. Then watch how that distribution changes. Many addresses do not guarantee many independent owners, and one concentration percentage cannot explain every token.

01

Clean the holder list first

A raw top-holder table may include liquidity pools, bonding-curve accounts, burn addresses, programs, exchanges, or operational wallets. Label known infrastructure before calculating concentration. Excluding accounts without evidence can also distort the result, so preserve the original list and document every classification.

02

Several wallets can represent one actor

Supply can be split across related addresses. Look for common funders, synchronized creation, repeated counterparties, identical transaction timing, shared cash-out routes, and transfers between the wallets. These patterns support a clustering hypothesis; they do not automatically prove common ownership.

03

Distribution is a moving condition

A launch can become more or less concentrated over time. Track whether early wallets distribute, accumulate, bridge to new addresses, or send supply toward venues. Sudden consolidation, coordinated selling, or transfers from creator-linked wallets can change the risk after your initial review.

Practical field note

Create an adjusted concentration table

Save the raw top twenty holders, then add columns for account type, evidence, suspected cluster, funding source, and adjusted ownership share. Keep pool and program accounts visible but separately labeled. Repeating the table later reveals whether supply genuinely dispersed or merely moved between related addresses.

Common mistakes

Excluding wallets without proof

Removing inconvenient addresses can make distribution appear healthier than the evidence supports.

Counting addresses as people

One actor can control many wallets, and one service can represent many users.

Ignoring changes over time

A single snapshot misses accumulation, distribution, and coordinated selling behavior.

Field checklist

  • Label pools, programs, and known infrastructure
  • Calculate top-holder concentration
  • Trace funding and timing patterns
  • Mark clusters as hypotheses
  • Re-check distribution after major moves
This material is educational. It cannot eliminate contract, liquidity, execution, or market risk.

Common questions

Frequently asked questions

Should liquidity pools count as ordinary top holders?+

No. Label verified pools and program accounts separately, but document the evidence used instead of excluding addresses merely because they are inconvenient.

Do many holder wallets prove decentralization?+

No. Related wallets can split supply, dust can inflate counts, and one actor may control several addresses. Study funding and behavior.

How often should holder distribution be reviewed?+

Review after major launches, migrations, creator transfers, large price moves, and before increasing or exiting a meaningful position.

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Related guides

Primary documentation

Interfaces, fees, and routing systems change. Confirm current behavior in official documentation before acting.