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.
Observed characteristics of USDC market data — volatility, liquidity depth, drawdowns, size and supply.
1/100
Low observed risk
Annualized volatility of 1% over the observed window.
24h traded volume of $12,497,499,476 (17.30% of market cap).
Market capitalization of $72,222,649,191.
Observed positioning of scored wallets over 30 days — computed from real whale events, rule-based, never a prediction.
12/100
distribution
50 baseline − 38 flow imbalance (net distribution 95% of $838.6M) − 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.
Accumulation side · $22.2M
Distribution side · $816.4M
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 · 11%
Consolidation · 45%
Distribution pressure · 44%
Price (USD)
$0.999779
Market cap
$72.22B
24h volume
$12.50B
Circulating supply
72,238,594,941
All-time high
$1.04
From ATH
-4.19%
Market data by CoinGecko, refreshed every 5 minutes. Educational information only — not financial advice.
Worst peak-to-trough decline of 0.4% in the observed window.
Trading 4.2% below its all-time high.
Trading 4.2% below its all-time high.
Worst peak-to-trough decline of 0.4% in the observed window.
Annualized volatility of 1% over the observed window.
24h traded volume of $12,497,499,476 (17.30% of market cap).
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.
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: $22.2M accumulation-side vs $816.4M 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 $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: $22.2M accumulation-side vs $816.4M 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.
Educational description of observed on-chain positioning (633 events · 20 wallets). Not financial advice, not a prediction, and never a buy or sell recommendation.