Token Research

Tether Gold

XAUTRank #39

$4,350.1USD

+0.09% 24h-1.74% 7d+0.28% 30d
Stale· data 3d 2h oldOfficial site

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

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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 XAUT market data — volatility, liquidity depth, drawdowns, size and supply.

16/100

Low observed risk

High confidence· 100%
  • Price volatility · weight 25%2/100

    Annualized volatility of 22% over the observed window.

  • Liquidity depth · weight 25%26/100

    24h traded volume of $89,258,043 (3.35% of market cap).

  • Market size · weight 15%19/100

    Market capitalization of $2,665,830,540.

  • Observed drawdown · weight 15%10/100

    Worst peak-to-trough decline of 9.1% in the observed window.

  • Distance from all-time high · weight 10%23/100

    Trading 21.0% below its all-time high.

  • Supply not yet circulating · weight 10%22/100

    13.4% of total supply is not yet circulating.

24h traded volume of $89,258,043 (3.35% of market cap).

Market capitalization of $2,665,830,540.

Trading 21.0% below its all-time high.

13.4% of total supply is not yet circulating.

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.

43/100

distribution

50 baseline − 7 flow imbalance (net distribution 17% of $57.0M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $23.6M

  • smart-money accumulation $0K
  • whale accumulation $6.7M
  • exchange outflows $16.9M
  • buy swaps $0K

Distribution side · $33.5M

  • whale distribution $8.8M
  • exchange inflows $24.7M
  • 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 · 31%

  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 24%

  • whale distribution observed ($8.8M/30d)
  • net exchange inflows (supply moving to venues)
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: $23.6M accumulation-side vs $33.5M 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 $16.9M vs inflows $24.7M (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 distribution side persists across sessions, using the flow imbalance as context rather than a signal by itself.

    Data: observed 30d flows: $23.6M accumulation-side vs $33.5M 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 $24.7M (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 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.

Educational description of observed on-chain positioning (24 events · 3 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$4,350.1

Market cap

$2.67B

24h volume

$89.3M

Circulating supply

612,824

All-time high

$5,504.62

From ATH

-20.97%

On-chain intelligence

Contract addresses

  • ethereum0x68749665ff8d2d112fa859aa293f07a622782f38

Market data by CoinGecko, refreshed every 5 minutes. Educational information only — not financial advice.