Token Research

Gnosis

GNORank #137

$114.87USD

-0.33% 24h-3.63% 7d+10.53% 30d
Stale· data 4d 22h 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

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No price history available for this period from CoinGecko right now. Nothing is estimated — this stays empty rather than showing made-up data.

Structural risk profile

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

73/100

Elevated observed risk

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

    Annualized volatility of 220% over the observed window.

  • Liquidity depth · weight 25%74/100

    24h traded volume of $1,075,718 (0.35% of market cap).

  • Market size · weight 15%51/100

    Market capitalization of $303,221,718.

  • Observed drawdown · weight 15%69/100

    Worst peak-to-trough decline of 62.0% in the observed window.

  • Distance from all-time high · weight 10%91/100

    Trading 82.2% below its all-time high.

  • Supply not yet circulating · weight 10%20/100

    12.0% of total supply is not yet circulating.

Annualized volatility of 220% over the observed window.

24h traded volume of $1,075,718 (0.35% of market cap).

Worst peak-to-trough decline of 62.0% in the observed window.

Trading 82.2% below its all-time high.

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.

62/100

accumulation

50 baseline + 12 flow imbalance (net accumulation 29% of $1.4M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $931K

  • smart-money accumulation $0K
  • whale accumulation $0K
  • exchange outflows $931K
  • buy swaps $0K

Distribution side · $510K

  • whale distribution $0K
  • exchange inflows $510K
  • 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 · 42%

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

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 13%

  • would require new distribution signals
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 note the net accumulation and examine whether the flow is broad (many wallets) or concentrated (one actor), before treating it as a positioning signal.

    Data: observed 30d flows: $931K accumulation-side vs $510K 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 $931K vs inflows $510K (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 accumulation side persists across sessions, using the flow imbalance as context rather than a signal by itself.

    Data: observed 30d flows: $931K accumulation-side vs $510K 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 $510K (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 note that observed professional positioning leans toward accumulation, while weighing it against 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)

$114.87

Market cap

$303.2M

24h volume

$1.1M

Circulating supply

2,639,589

All-time high

$644.2

From ATH

-82.17%

On-chain intelligence

Contract addresses

  • ethereum0x6810e776880c02933d47db1b9fc05908e5386b96
  • energi0xf452bff8e958c6f335f06fc3aac427ee195366fe
  • arbitrum one0xa0b862f60edef4452f25b4160f177db44deb6cf1
  • xdai0x9c58bacc331c9aa871afd802db6379a98e80cedb

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