EURC

EURCRank #103

$1.14USD

+0.20% 24h-0.16% 7d-0.15% 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 · $1.17 → $1.14 (-2.49%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

18/100

Low observed risk

High confidence· 100%

Price volatility · weight 25%0/100
Annualized volatility of 5% over the observed window.
Liquidity depth · weight 25%36/100
24h traded volume of $34,901,349 (7.75% of market cap).
Market size · weight 15%45/100
Market capitalization of $450,235,857.
Observed drawdown

Smart Money Intelligence

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

10/100

distribution

50 baseline − 40 flow imbalance (net distribution 100% of $57K) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $0K

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

Distribution side · $57K

whale distribution $0K
exchange inflows $0K
sell swaps $57K

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 · 10%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 45%

Price (USD)

$1.14

Market cap

$450.2M

24h volume

$34.9M

Circulating supply

395,334,412

All-time high

$1.35

From ATH

-15.76%

On-chain intelligence

EURC on ETHEREUM63 observed transfers · 1 whale events · holder analytics & structure scores

Contract addresses

ethereum0x1abaea1f7c830bd89acc67ec4af516284b1bc33c
world chain0x1c60ba0a0ed1019e8eb035e6daf4155a5ce2380b
solanaHzwqbKZw8HxMN6bF2yFZNrht3c2iXXzpKcFu7uBEDKtr
base0x60a3e35cc302bfa44cb288bc5a4f316fdb1adb42
cronos0xa6de01a2d62c6b5f3525d768f34d276652c554c8
optimistic ethereum0xdcb612005417dc906ff72c87df732e5a90d49e11
avalanche0xc891eb4cbdeff6e073e859e987815ed1505c2acd
stellarEURC-GDHU6WRG4IEQXM5NZ4BMPKOXHW76MZM4Y2IEMFDVXBSDP6SJY4ITNPP2

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: $0K accumulation-side vs $57K 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 $0K (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: $0K accumulation-side vs $57K 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 $0K (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.