Aave

AAVERank #50

$98.37USD

+1.03% 24h+2.27% 7d+4.98% 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

2026-06-27 → 2026-07-27 UTC · $94.74 → $101.12 (+6.73%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

39/100

Moderate observed risk

High confidence· 100%

Price volatility · weight 25%55/100
Annualized volatility of 75% over the observed window.
Liquidity depth · weight 25%14/100
24h traded volume of $272,457,389 (17.96% of market cap).
Market size · weight 15%27/100
Market capitalization of $1,517,262,259.
Observed drawdown

Smart Money Intelligence

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

47/100

neutral

50 baseline − 3 flow imbalance (net distribution 8% of $5.8M) − 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 · $3.2M

whale distribution $0K
exchange inflows $3.2M
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 · 33%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 22%

Price (USD)

$98.37

Market cap

$1.52B

24h volume

$272.5M

Circulating supply

15,418,537

All-time high

$661.69

From ATH

-85.15%

On-chain intelligence

Contract addresses

ethereum0x7fc66500c84a76ad7e9c93437bfc5ac33e2ddae9
solanaAavE1kKKnesPw4MuRJmJ9jZs9QzEE8CPxQ3ViczUDfc1
base0x63706e401c06ac8513145b7687a14804d17f814b
hydrationasset_registry%2F1000624
harmony shard 00xcf323aad9e522b93f11c352caa519ad0e14eb40f
huobi token0x202b4936fe1a82a4965220860ae46d7d3939bb25
fantom0x6a07a792ab2965c72a5b8088d3a069a7ac3a993b
near protocol7fc66500c84a76ad7e9c93437bfc5ac33e2ddae9.factory.bridge.near

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 $3.2M 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 $3.2M (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 distribution 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 $3.2M 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 $3.2M (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.