Token Research

The Sandbox

SANDRank #277

$0.03317305USD

-4.90% 24h-15.21% 7d-16.31% 30d
Stale· data 10h 21m 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

$0.034$0.036$0.0382026-09-092026-09-112026-09-142026-09-16$0.033177
2026-09-092026-09-16 UTC · $0.039212$0.033177 (-15.39%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

53/100

Moderate observed risk

High confidence· 100%
  • Price volatility · weight 25%54/100

    Annualized volatility of 74% over the observed window.

  • Liquidity depth · weight 25%44/100

    24h traded volume of $17,992,528 (18.46% of market cap).

  • Market size · weight 15%67/100

    Market capitalization of $97,474,575.

  • Observed drawdown · weight 15%53/100

    Worst peak-to-trough decline of 47.3% in the observed window.

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

    Trading 99.6% below its all-time high.

  • Supply not yet circulating · weight 10%3/100

    2.1% of total supply is not yet circulating.

Annualized volatility of 74% over the observed window.

24h traded volume of $17,992,528 (18.46% of market cap).

Market capitalization of $97,474,575.

Trading 99.6% below its all-time high.

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.

40/100

distribution

50 baseline − 10 flow imbalance (net distribution 26% of $36.4M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $13.5M

  • smart-money accumulation $0K
  • whale accumulation $4.2M
  • exchange outflows $9.3M
  • buy swaps $0K

Distribution side · $22.9M

  • whale distribution $19.2M
  • exchange inflows $3.8M
  • 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 · 29%

  • net exchange outflows (supply leaving venues)
  • market regime currently risk-on

Consolidation · 45%

  • balanced observed flows
  • no dominant pressure side

Distribution pressure · 26%

  • whale distribution observed ($19.2M/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 flag the net distribution and examine venue inflows as potential supply overhang.

    Data: observed 30d flows: $13.5M accumulation-side vs $22.9M 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 $9.3M vs inflows $3.8M (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: $13.5M accumulation-side vs $22.9M 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 $3.8M (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 (10 events · 1 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.

Price (USD)

$0.03317305

Market cap

$97.5M

24h volume

$18.0M

Circulating supply

2,937,639,702

All-time high

$8.4

From ATH

-99.60%

On-chain intelligence

Contract addresses

  • ethereum0x3845badade8e6dff049820680d1f14bd3903a5d0
  • base0xac531eb26ca1d21b85126de8fb87e80e09002dcf
  • polygon pos0xbbba073c31bf03b8acf7c28ef0738decf3695683

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