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
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
Price history is temporarily unavailable. The rest of this page is unaffected; the chart returns as soon as market data can be refreshed.
Structural risk profile
Observed characteristics of NEXO market data — volatility, liquidity depth, drawdowns, size and supply.
41/100
Moderate observed risk
- Price volatility · weight 25%39/100
Annualized volatility of 59% over the observed window.
- Liquidity depth · weight 25%58/100
24h traded volume of $4,746,205 (0.58% of market cap).
- Market size · weight 15%36/100
Market capitalization of $822,981,226.
- Observed drawdown · weight 15%19/100
Worst peak-to-trough decline of 17.3% in the observed window.
- Distance from all-time high · weight 10%89/100
Trading 79.8% below its all-time high.
- Supply not yet circulating · weight 10%0/100
0.0% of total supply is not yet circulating.
24h traded volume of $4,746,205 (0.58% of market cap).
Annualized volatility of 59% over the observed window.
Trading 79.8% below its all-time high.
Market capitalization of $822,981,226.
These are observed structural characteristics of past and current market data — not a prediction, not a recommendation.
Higher score = more observed structural risk. Computed from CoinGecko market data; the number is calculated, never generated by AI. A low score does not mean an asset is safe.
Smart Money Intelligence
Observed positioning of scored wallets over 30 days — computed from real whale events, rule-based, never a prediction.
67/100
accumulation
50 baseline + 17 flow imbalance (net accumulation 43% of $13.7M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.
Accumulation side · $9.8M
- smart-money accumulation $0K
- whale accumulation $5.6M
- exchange outflows $4.2M
- buy swaps $0K
Distribution side · $3.9M
- whale distribution $1.2M
- exchange inflows $2.7M
- 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 · 46%
- net exchange outflows (supply leaving venues)
- market regime currently risk-on
Consolidation · 45%
- balanced observed flows
- no dominant pressure side
Distribution pressure · 9%
- whale distribution observed ($1.2M/30d)
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: $9.8M accumulation-side vs $3.9M 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 net exchange outflows — supply moving to self-custody historically accompanies holding behavior.
Data: exchange outflows $4.2M vs inflows $2.7M (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: $9.8M accumulation-side vs $3.9M 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 $2.7M (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.
Educational description of observed on-chain positioning (6 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.
Price (USD)
$0.823036
Market cap
$823.0M
24h volume
$4.7M
Circulating supply
1,000,000,000
All-time high
$4.07
From ATH
-79.77%
On-chain intelligence
Contract addresses
- ethereum0xb62132e35a6c13ee1ee0f84dc5d40bad8d815206
- energi0x04640dc771edd73cbeb934fb5461674830baea11
- fantom0x7c598c96d02398d89fbcb9d41eab3df0c16f227d
- sora0x003005b2417b5046455e73f7fc39779a013f1a33b4518bcd83a790900dca49ff
- polygon pos0x41b3966b4ff7b427969ddf5da3627d6aeae9a48e
Market data by CoinGecko, refreshed every 5 minutes. Educational information only — not financial advice.