Ethereum Name Service

ENSRank #173

$4.22USD

-2.25% 24h-6.18% 7d+2.06% 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

2025-07-27 → 2026-07-26 UTC · $28.59 → $4.22 (-85.23%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

62/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%55/100
Annualized volatility of 75% over the observed window.
Liquidity depth · weight 25%46/100
24h traded volume of $14,628,411 (8.43% of market cap).
Market size · weight 15%59/100
Market capitalization of $173,473,484.
Observed drawdown

Smart Money Intelligence

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

54/100

neutral

50 baseline + 4 flow imbalance (net accumulation 10% of $5.0M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $2.7M

smart-money accumulation $0K
whale accumulation $2.7M
exchange outflows $0K
buy swaps $0K

Distribution side · $2.2M

whale distribution $0K
exchange inflows $2.2M
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 · 38%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 17%

Price (USD)

$4.22

Market cap

$173.5M

24h volume

$14.6M

Circulating supply

41,028,602

All-time high

$83.4

From ATH

-94.93%

On-chain intelligence

ENS on ETHEREUM34 observed transfers · 4 whale events · holder analytics & structure scores

Contract addresses

ethereum0xc18360217d8f7ab5e7c516566761ea12ce7f9d72

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 read balanced flows as absence of a positioning edge and wait for a dominant side.
Data: observed 30d flows: $2.7M accumulation-side vs $2.2M 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 exchange inflows as a sign that peers are staging liquidity venue-side.
Data: exchange outflows $0K vs inflows $2.2M (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: $2.7M accumulation-side vs $2.2M 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 $2.2M (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.