Morpho

MORPHORank #56

$2USD

+2.61% 24h-1.35% 7d+13.06% 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 · $2.01 → $2 (-0.63%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

50/100

Moderate observed risk

High confidence· 100%

Price volatility · weight 25%70/100
Annualized volatility of 90% over the observed window.
Liquidity depth · weight 25%46/100
24h traded volume of $14,787,383 (1.13% of market cap).
Market size · weight 15%29/100
Market capitalization of $1,311,540,085.
Observed drawdown

Smart Money Intelligence

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

63/100

accumulation

50 baseline + 13 flow imbalance (net accumulation 33% of $17.2M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $11.4M

smart-money accumulation $0K
whale accumulation $11.4M
exchange outflows $0K
buy swaps $0K

Distribution side · $5.7M

whale distribution $0K
exchange inflows $5.7M
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 · 43%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 12%

Price (USD)

Market cap

$1.31B

24h volume

$14.8M

Circulating supply

655,425,663

All-time high

$4.17

From ATH

-51.93%

On-chain intelligence

Contract addresses

ethereum0x58d97b57bb95320f9a05dc918aef65434969c2b2
base0xbaa5cc21fd487b8fcc2f632f3f4e8d37262a0842
katana0x1e5efca3d0db2c6d5c67a4491845c43253eb9e4e
arbitrum one0x40bd670a58238e6e230c430bbb5ce6ec0d40df48

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: $11.4M accumulation-side vs $5.7M 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 $0K vs inflows $5.7M (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 accumulation side persists across sessions, using the flow imbalance as context rather than a signal by itself.
Data: observed 30d flows: $11.4M accumulation-side vs $5.7M 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 $5.7M (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 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.