Pudgy Penguins

PENGURank #112

$0.00588052USD

-0.68% 24h-6.49% 7d-3.32% 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 · $0.006243 → $0.00588 (-5.80%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

54/100

Moderate observed risk

High confidence· 100%

Price volatility · weight 25%68/100
Annualized volatility of 88% over the observed window.
Liquidity depth · weight 25%33/100
24h traded volume of $48,599,410 (13.15% of market cap).
Market size · weight 15%48/100
Market capitalization of $369,646,891.
Observed drawdown

Smart Money Intelligence

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

37/100

distribution

50 baseline − 13 flow imbalance (net distribution 33% of $406K) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $137K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $137K
buy swaps $0K

Distribution side · $269K

whale distribution $269K
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 · 27%

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

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Price (USD)

$0.00588052

Market cap

$369.6M

24h volume

$48.6M

Circulating supply

62,860,396,090

All-time high

$0.068447

From ATH

-91.42%

On-chain intelligence

PENGU on SOLANA90 observed transfers · 2 whale events · holder analytics & structure scores

Contract addresses

solana2zMMhcVQEXDtdE6vsFS7S7D5oUodfJHE8vd1gnBouauv
abstract0x9ebe3a824ca958e4b3da772d2065518f009cba62
ethereum0x6418c0dd099a9fda397c766304cdd918233e8847
hyperevm0xfa44c2634ff17cbe26dc3007d36bd61c79068c14
binance smart chain0x6418c0dd099a9fda397c766304cdd918233e8847

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 flag the net distribution and examine venue inflows as potential supply overhang.
Data: observed 30d flows: $137K accumulation-side vs $269K 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 $137K 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 distribution side persists across sessions, using the flow imbalance as context rather than a signal by itself.
Data: observed 30d flows: $137K accumulation-side vs $269K 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 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.