Token Research

Pump.fun

PUMPRank #52

$0.003731USD

+2.96% 24h-16.23% 7d+33.84% 30d
Stale· data 20h 49m oldOfficial site

The information on this page is market data and educational analysis, not financial advice. Past on-chain activity does not guarantee future results. Always do your own research.

Live chart

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Source: Binance USDT market (≈USD) · 15m candles · UTC · awaiting first tick. Market prices from one venue — not a consolidated tape. Educational information only, not financial advice.

Price history

$0.0038$0.004$0.0042$0.0044$0.00462026-09-042026-09-062026-09-082026-09-11$0.003743
2026-09-042026-09-11 UTC · $0.004346$0.003743 (-13.88%)Source: CoinGecko · cached up to 60 min

Structural risk profile

Observed characteristics of PUMP market data — volatility, liquidity depth, drawdowns, size and supply.

54/100

Moderate observed risk

High confidence· 100%
  • Price volatility · weight 25%100/100

    Annualized volatility of 131% over the observed window.

  • Liquidity depth · weight 25%23/100

    24h traded volume of $120,903,190 (6.91% of market cap).

  • Market size · weight 15%25/100

    Market capitalization of $1,749,086,198.

  • Observed drawdown · weight 15%39/100

    Worst peak-to-trough decline of 34.9% in the observed window.

  • Distance from all-time high · weight 10%64/100

    Trading 57.7% below its all-time high.

  • Supply not yet circulating · weight 10%73/100

    43.8% of total supply is not yet circulating.

Annualized volatility of 131% over the observed window.

43.8% of total supply is not yet circulating.

Trading 57.7% below its all-time high.

Worst peak-to-trough decline of 34.9% in the observed window.

These are observed structural characteristics of past and current market data — not a prediction, not a recommendation.

Higher score = more observed structural risk. Computed from CoinGecko market data; the number is calculated, never generated by AI. A low score does not mean an asset is safe.

Smart Money Intelligence

Observed positioning of scored wallets over 30 days — computed from real whale events, rule-based, never a prediction.

48/100

neutral

50 baseline − 2 flow imbalance (net distribution 5% of $1.6M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $772K

  • smart-money accumulation $0K
  • whale accumulation $0K
  • exchange outflows $772K
  • buy swaps $0K

Distribution side · $848K

  • whale distribution $848K
  • exchange inflows $0K
  • sell swaps $0K

Smart money consensus (7d · 0 scored wallets)

Insufficient scored-wallet data — no scored wallet was active on this asset in the last 7 days, so no consensus can be claimed.

Scenario weights — derived from current observed signals, not forecasts

Accumulation continues · 34%

  • net exchange outflows (supply leaving venues)
  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 21%

  • whale distribution observed ($848K/30d)
Professional lenses (5) — rule-based analysis from the data above
  • Institutional Fund confidence low

    What would a hedge fund analyst likely examine here?

    A fund analyst would typically read balanced flows as absence of a positioning edge and wait for a dominant side.

    Data: observed 30d flows: $772K accumulation-side vs $848K distribution-side · 0 scored wallets active in 7d

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Whale Investor confidence low

    What would a large holder likely watch?

    A large holder would typically watch the net exchange outflows — supply moving to self-custody historically accompanies holding behavior.

    Data: exchange outflows $772K vs inflows $0K (30d)

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Swing Trader confidence low

    What would a technical trader likely track?

    A swing trader would typically track whether the current distribution side persists across sessions, using the flow imbalance as context rather than a signal by itself.

    Data: observed 30d flows: $772K accumulation-side vs $848K distribution-side

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Risk Manager confidence low

    How would a professional frame the risk?

    A risk manager would typically size any exposure against the observed concentration: flows driven by few wallets reverse faster than broad-based moves, and venue-side supply adds liquidity risk.

    Data: 0 scored wallets in the 7d sample · venue-side supply $0K (30d inflows)

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

  • Long-Term Investor confidence low

    What would a long-horizon allocator likely note?

    A long-horizon allocator would typically treat current flows as noise at their horizon and focus on fundamentals this dashboard does not measure.

    Data: Insufficient scored-wallet data — no scored wallet was active on this asset in the last 7 days, so no consensus can be claimed.

    On-chain flows describe PAST positioning of a small observed universe; they do not determine prices. Data can be incomplete or delayed.

Educational description of observed on-chain positioning (2 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$0.003731

Market cap

$1.75B

24h volume

$120.9M

Circulating supply

468,590,783,897

All-time high

$0.00881908

From ATH

-57.69%

On-chain intelligence

Contract addresses

  • solanapumpCmXqMfrsAkQ5r49WcJnRayYRqmXz6ae8H7H9Dfn

Market data by CoinGecko, refreshed every 5 minutes. Educational information only — not financial advice.