EUR CoinVertible

EURCVRank #191

$1.14USD

+0.30% 24h-0.07% 7d+0.10% 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

No price history available for this period from CoinGecko right now. Nothing is estimated — this stays empty rather than showing made-up data.

Structural risk profile

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

25/100

Low observed risk

High confidence· 100%

Price volatility · weight 25%0/100
Annualized volatility of 6% over the observed window.
Liquidity depth · weight 25%57/100
24h traded volume of $5,146,458 (3.44% of market cap).
Market size · weight 15%61/100
Market capitalization of $149,512,145.
Observed drawdown

Smart Money Intelligence

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

90/100

accumulation

50 baseline + 40 flow imbalance (net accumulation 100% of $110K) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $110K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $0K
buy swaps $110K

Distribution side · $0K

whale distribution $0K
exchange inflows $0K
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 · 60%

market regime currently risk-on

Consolidation · 35%

balanced observed flows
no dominant pressure side

Distribution pressure · 5%

Price (USD)

$1.14

Market cap

$149.5M

24h volume

$5.1M

Circulating supply

131,220,358

All-time high

$1.22

From ATH

-6.44%

On-chain intelligence

EURCV on ETHEREUM44 observed transfers · 1 whale events · holder analytics & structure scores

Contract addresses

ethereum0x5f7827fdeb7c20b443265fc2f40845b715385ff2
xrp4555524356000000000000000000000000000000.rUNaS5sqRuxZz6V7rBGhoSaZiVYA3ut4UL
solanaDghpMkatCiUsofbTmid3M3kAbDTPqDwKiYHnudXeGG52
stellarCANKBYNNAYKEZXLB655F2UPNTAZFK5HILZUXL7ZTFR3NF6LKDSVY7KFH

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 note the net accumulation and examine whether the flow is broad (many wallets) or concentrated (one actor), before treating it as a positioning signal.
Data: observed 30d flows: $110K accumulation-side vs $0K 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 accumulation side persists across sessions, using the flow imbalance as context rather than a signal by itself.
Data: observed 30d flows: $110K accumulation-side vs $0K 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 note that observed professional positioning leans toward accumulation, while weighing it against 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.