Bonk

BONKRank #136

$0.00000295USD

-0.30% 24h-2.70% 7d-29.80% 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 · $0.000003 → $0.000003 (-1.90%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

54/100

Moderate observed risk

High confidence· 100%

Price volatility · weight 25%65/100
Annualized volatility of 85% over the observed window.
Liquidity depth · weight 25%36/100
24h traded volume of $36,053,319 (13.91% of market cap).
Market size · weight 15%53/100
Market capitalization of $259,265,849.
Observed drawdown

Smart Money Intelligence

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

90/100

accumulation

50 baseline + 40 flow imbalance (net accumulation 100% of $102K) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $102K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $102K
buy swaps $0K

Distribution side · $0K

whale distribution $0K
exchange inflows $0K
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 · 60%

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

Consolidation · 35%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Price (USD)

$0.00000295

Market cap

$259.3M

24h volume

$36.1M

Circulating supply

87,994,600,752,309

All-time high

$0.00005825

From ATH

-94.96%

On-chain intelligence

Contract addresses

solanaDezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263
neon evm0xd4b6520f7fb78e1ee75639f3376c581a71bcdb0e
ethereum0x1151cb3d861920e07a38e03eead12c32178567f6
unichain0xbbe97f3522101e5b6976cbf77376047097ba837f
polygon pos0xe5b49820e5a1063f6f4ddf851327b5e8b2301048
binance smart chain0xa697e272a73744b343528c3bc4702f2565b2f422
arbitrum one0x09199d9a5f4448d0848e4395d065e1ad9c4a1f74
aptos0x2a90fae71afc7460ee42b20ee49a9c9b29272905ad71fef92fbd8b3905a24b56

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: $102K accumulation-side vs $0K 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 $102K vs inflows $0K (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: $102K accumulation-side vs $0K 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 $0K (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.