The Sandbox

SANDRank #243

$0.04120586USD

-2.44% 24h-13.72% 7d-11.93% 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

2026-07-22 → 2026-07-29 UTC · $0.047618 → $0.041208 (-13.46%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

55/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%49/100
Annualized volatility of 69% over the observed window.
Liquidity depth · weight 25%50/100
24h traded volume of $9,732,984 (8.86% of market cap).
Market size · weight 15%65/100
Market capitalization of $109,901,981.
Observed drawdown

Smart Money Intelligence

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

51/100

neutral

50 baseline + 1 flow imbalance (net accumulation 2% of $1.4M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $714K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $714K
buy swaps $0K

Distribution side · $684K

whale distribution $0K
exchange inflows $684K
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 · 36%

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

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Price (USD)

$0.04120586

Market cap

$109.9M

24h volume

$9.7M

Circulating supply

2,667,289,212

All-time high

$8.4

From ATH

-99.51%

On-chain intelligence

SAND on ETHEREUM61 observed transfers · 2 whale events · holder analytics & structure scores

Contract addresses

ethereum0x3845badade8e6dff049820680d1f14bd3903a5d0
base0xac531eb26ca1d21b85126de8fb87e80e09002dcf
polygon pos0xbbba073c31bf03b8acf7c28ef0738decf3695683

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 read balanced flows as absence of a positioning edge and wait for a dominant side.
Data: observed 30d flows: $714K accumulation-side vs $684K 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 $714K vs inflows $684K (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: $714K accumulation-side vs $684K 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 $684K (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.