Gnosis

GNORank #129

$106.8USD

+0.71% 24h-3.94% 7d-1.25% 30d

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

24h 7d 30d 90d 1y

line candles

2026-07-22 → 2026-07-29 UTC · $111.19 → $106.82 (-3.93%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

62/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%65/100
Annualized volatility of 85% over the observed window.
Liquidity depth · weight 25%76/100
24h traded volume of $928,822 (0.33% of market cap).
Market size · weight 15%52/100
Market capitalization of $281,900,570.
Observed drawdown

Smart Money Intelligence

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

34/100

distribution

50 baseline − 16 flow imbalance (net distribution 41% of $12.0M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $3.6M

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $3.6M
buy swaps $0K

Distribution side · $8.5M

whale distribution $6.1M
exchange inflows $2.3M
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 · 25%

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

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Price (USD)

$106.8

Market cap

$281.9M

24h volume

$928,822

Circulating supply

2,639,589

All-time high

$644.2

From ATH

-83.42%

On-chain intelligence

GNO on ETHEREUM508 observed transfers · 12 whale events · holder analytics & structure scores

Contract addresses

ethereum0x6810e776880c02933d47db1b9fc05908e5386b96
xdai0x9c58bacc331c9aa871afd802db6379a98e80cedb
energi0xf452bff8e958c6f335f06fc3aac427ee195366fe
arbitrum one0xa0b862f60edef4452f25b4160f177db44deb6cf1

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

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 flag the net distribution and examine venue inflows as potential supply overhang.
Data: observed 30d flows: $3.6M accumulation-side vs $8.5M 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 $3.6M vs inflows $2.3M (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: $3.6M accumulation-side vs $8.5M 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 $2.3M (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.