GMT

GMTRank #781

$0.00651723USD

-1.19% 24h-8.65% 7d-15.63% 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

2026-04-30 → 2026-07-29 UTC · $0.011001 → $0.006517 (-40.76%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

70/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%68/100
Annualized volatility of 88% over the observed window.
Liquidity depth · weight 25%58/100
24h traded volume of $4,573,920 (22.56% of market cap).
Market size · weight 15%90/100
Market capitalization of $20,278,047.
Observed drawdown

Smart Money Intelligence

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

80/100

accumulation

50 baseline + 30 flow imbalance (net accumulation 75% of $8.0M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $7.0M

smart-money accumulation $0K
whale accumulation $6.3M
exchange outflows $740K
buy swaps $0K

Distribution side · $1.0M

whale distribution $0K
exchange inflows $1.0M
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 · 54%

market regime currently risk-on

Consolidation · 41%

balanced observed flows
no dominant pressure side

Distribution pressure · 5%

Price (USD)

$0.00651723

Market cap

$20.3M

24h volume

$4.6M

Circulating supply

3,111,400,155

All-time high

$4.11

From ATH

-99.84%

On-chain intelligence

GMT on ETHEREUM26 observed transfers · 10 whale events · holder analytics & structure scores

Contract addresses

solana7i5KKsX2weiTkry7jA4ZwSuXGhs5eJBEjY8vVxR4pfRx
ethereum0xe3c408bd53c31c085a1746af401a4042954ff740
polygon pos0x714db550b574b3e927af3d93e26127d15721d4c2
binance smart chain0x3019bf2a2ef8040c242c9a4c5c4bd4c81678b2a1

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: $7.0M accumulation-side vs $1.0M 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 $740K vs inflows $1.0M (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: $7.0M accumulation-side vs $1.0M 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 $1.0M (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.