Ethena

ENARank #76

$0.08181USD

-2.22% 24h-6.32% 7d+4.41% 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

2025-07-30 → 2026-07-29 UTC · $0.570673 → $0.081844 (-85.66%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

58/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%87/100
Annualized volatility of 107% over the observed window.
Liquidity depth · weight 25%24/100
24h traded volume of $107,175,932 (13.70% of market cap).
Market size · weight 15%37/100
Market capitalization of $782,167,187.
Observed drawdown

Smart Money Intelligence

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

35/100

distribution

50 baseline − 15 flow imbalance (net distribution 37% of $2.4M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $754K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $754K
buy swaps $0K

Distribution side · $1.6M

whale distribution $0K
exchange inflows $1.6M
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 · 26%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 29%

Price (USD)

$0.08181

Market cap

$782.2M

24h volume

$107.2M

Circulating supply

9,560,937,500

All-time high

$1.52

From ATH

-94.64%

On-chain intelligence

ENA on ETHEREUM565 observed transfers · 3 whale events · holder analytics & structure scores

Contract addresses

ethereum0x57e114b691db790c35207b2e685d4a43181e6061
mantle0x58538e6a46e07434d7e7375bc268d3cb839c0133
metis andromeda0x58538e6a46e07434d7e7375bc268d3cb839c0133
fraxtal0x58538e6a46e07434d7e7375bc268d3cb839c0133
kava0x58538e6a46e07434d7e7375bc268d3cb839c0133
zircuit0x813635891aa06bd55036bbd8f7d1a34ab3de9a0f
swellchain0x58538e6a46e07434d7e7375bc268d3cb839c0133
morph l20x58538e6a46e07434d7e7375bc268d3cb839c0133

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: $754K accumulation-side vs $1.6M 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 $754K vs inflows $1.6M (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: $754K accumulation-side vs $1.6M 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 $1.6M (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.