Uniswap

UNIRank #38

$3.83USD

+2.78% 24h+3.83% 7d+30.27% 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

2026-04-29 → 2026-07-26 UTC · $3.18 → $3.83 (+20.55%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

45/100

Moderate observed risk

High confidence· 100%

Price volatility · weight 25%64/100
Annualized volatility of 84% over the observed window.
Liquidity depth · weight 25%15/100
24h traded volume of $240,005,305 (10.03% of market cap).
Market size · weight 15%21/100
Market capitalization of $2,392,525,832.
Observed drawdown

Smart Money Intelligence

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

42/100

distribution

50 baseline − 8 flow imbalance (net distribution 19% of $18.9M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $7.6M

smart-money accumulation $0K
whale accumulation $7.6M
exchange outflows $0K
buy swaps $0K

Distribution side · $11.3M

whale distribution $0K
exchange inflows $11.3M
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 · 30%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 25%

Price (USD)

$3.83

Market cap

$2.39B

24h volume

$240.0M

Circulating supply

625,069,562

All-time high

$44.92

From ATH

-91.49%

On-chain intelligence

Contract addresses

ethereum0x1f9840a85d5af5bf1d1762f925bdaddc4201f984
xdai0x4537e328bf7e4efa29d05caea260d7fe26af9d74
huobi token0x22c54ce8321a4015740ee1109d9cbc25815c46e6
unichain0x8f187aa05619a017077f5308904739877ce9ea21
near protocol1f9840a85d5af5bf1d1762f925bdaddc4201f984.factory.bridge.near
harmony shard 00x90d81749da8867962c760414c1c25ec926e889b6
energi0x665b3a802979ec24e076c80025bff33c18eb6007
sora0x009be848df92a400da2f217256c88d1a9b1a0304f9b3e90991a67418e1d3b08c

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: $7.6M accumulation-side vs $11.3M 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 $11.3M (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: $7.6M accumulation-side vs $11.3M 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 $11.3M (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.