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    Token-specific analysis

    Jupiter (JUP) Holder Concentration & Exit Risk

    How is the supply spread across the largest holders? This Solana analysis uses observed token and pool evidence where available, keeps assumptions visible and does not present a recommendation or forecast. Current observed price is $0.26 with $3,394,810.36 reported pool liquidity.

    Full report for Jupiter

    Every calculator's reading of this token on one page: price impact, pool depth, holders and the on-chain holder analysis.

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    What Jupiter looks like on Solana for holder concentration & exit risk

    Concentration matters in proportion to what an exit costs: a holder of 1% of circulating supply holds $8,489,419 on paper and models $1,413,951 on the way out, losing 83.34%.

    There is $3,394,810 of pooled liquidity to absorb any such exit, against $848,941,932 of nominal value — a ratio of 0.40%.

    Exit depth is read from 30 constant-product pools covering 100.00% of what was observed; nothing observed was left out.

    Only included constant-product pool estimates are executable in this model. CEX order-book depth and unsupported or concentrated-liquidity pools are not merged into AMM reserves.

    Holder Concentration Risk

    Enter a token address to analyze holder concentration automatically.

    Data basis
    Observed
    Formula
    1. 1Enter details
    2. 2Choose scenario
    3. 3See results
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    Advanced: manual holder balances

    Fallback for a complete CSV/export. One raw balance per line or comma-separated.

    How this calculation works — the formula, its inputs, what it assumes, and what it does not establish.

    Calculator guide

    How to use this token holder concentration risk

    Analyze token holder concentration, top-holder ownership and executable exit risk from observed balances. Contract categories and holder coverage determine how representative the result is.

    What holder concentration means

    Concentration metrics show how much supply is controlled by a small part of the observed holder set. Higher concentration can increase governance, liquidity and large-sale risk.

    Why exclusions matter

    Burn addresses, liquidity pools, bridges, treasuries and exchange wallets can distort ownership analysis. Exclude an address only when its role can be identified and documented.

    Gini and coverage limits

    A Gini coefficient is exact only for the complete included population. Partial explorer or provider coverage must be interpreted as an observed sample, not the full holder distribution.

    Understand the assumptions

    Holder Risk FAQ

    How is the supply spread across the largest holders?

    Assess concentration, executable exit depth and whale-driven downside risk. MoonMath labels the data basis for this tool as Observed, Formula.

    Is the Holder Risk a prediction or recommendation?

    No. The Holder Concentration & Exit Risk is an educational scenario tool, not financial advice, a recommendation, or a forecast. Provider coverage, liquidity, routing, fees and market conditions can make real outcomes materially different.

    Are liquidity pools counted as token holders?

    A pool contract can appear in the raw holder list, but it should be classified separately when reliably identified because pooled tokens are not controlled like a normal wallet balance.