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Holder Concentration Calculator

Token concentration calculator: compute CR10 and CR5 for the largest holders. Detect whale dominance and compare distribution health across projects.

How to use

  • Set total token supply — used for the informational breakdown (absolute tokens per tier)
  • Set the largest holder’s share (Top-1) as a percentage
  • Adjust the average share for Top 2–5 and Top 6–10 holders
  • If you set an average share that exceeds a higher tier (e.g. Top 2–5 avg > Top-1), the calculator gently clamps the lower tier so holder ranks stay consistent
  • The calculator shows CR5 (top-5 concentration) and CR10 (top-10 concentration)
  • Rating scale (aligned with on-chain analytics article): CR10 < 30% — excellent, 30–50% — good, 50–70% — moderate, 70–90% — high, > 90% — extreme. Author’s heuristic: CR10 > 80% is critical
  • For context: BTC ≈ 6% top-10 addresses (≈ 25% top-10 entities); mature L1s typically sit in the 15–35% range

Calculator

Holder Concentration (CR10)
CR10
0%
top-10 share
CR5
0%
top-5 share
Rating
Absolute token breakdown: (Top-1), (each of Top 2–5), (each of Top 6–10).

Formulas

CR5 = Top1_pct + 4 × Top2_5_pct
  • Top1_pct — largest holder’s share (%)
  • Top2_5_pct — average share of each holder ranked 2–5 (%)
  • CR5 — total top-5 concentration, capped at 100% (computed)
CR10 = CR5 + 5 × Top6_10_pct
  • CR5 — total top-5 concentration (computed)
  • Top6_10_pct — average share of each holder ranked 6–10 (%)
  • CR10 — total top-10 concentration, capped at 100% (computed)
Concentration rating scale (CR10)
  • CR10 < 30% — excellent (tokens well distributed)
  • CR10 30–50% — good (acceptable concentration)
  • CR10 50–70% — moderate (watch whale activity)
  • CR10 70–90% — high concentration (> 80% is a critical heuristic for manipulation risk)
  • CR10 > 90% — extreme (red flag: near-monopoly control)

See also

CR5 and CR10 are one family of concentration measures. Two other canonical metrics — the Gini coefficient and the Herfindahl–Hirschman Index (HHI) — are discussed in the parent article On-Chain Analytics for Tokenomists, along with methodology notes on excluding exchange, treasury, and bridge addresses before computing any of these.

Learn more about the model
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