Virtuals Protocol

VIRTUALRank #111

$0.563603USD

-0.52% 24h-13.50% 7d+4.66% 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

Loading live market…

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

2026-06-29 → 2026-07-29 UTC · $0.536598 → $0.563603 (+5.03%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

58/100

Elevated observed risk

High confidence· 100%

Price volatility · weight 25%74/100
Annualized volatility of 94% over the observed window.
Liquidity depth · weight 25%35/100
24h traded volume of $40,855,918 (11.03% of market cap).
Market size · weight 15%48/100
Market capitalization of $370,450,409.
Observed drawdown

Smart Money Intelligence

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

50/100

neutral

50 baseline + 0 flow imbalance (net accumulation 0% of $5.0M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $2.5M

smart-money accumulation $0K
whale accumulation $2.5M
exchange outflows $0K
buy swaps $0K

Distribution side · $2.5M

whale distribution $0K
exchange inflows $2.5M
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 · 35%

market regime currently risk-on

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure · 20%

Price (USD)

$0.563603

Market cap

$370.5M

24h volume

$40.9M

Circulating supply

657,519,321

All-time high

$5.07

From ATH

-88.91%

On-chain intelligence

Contract addresses

ethereum0x44ff8620b8ca30902395a7bd3f2407e1a091bf73
base0x0b3e328455c4059eeb9e3f84b5543f74e24e7e1b
solana3iQL8BFS2vE7mww4ehAqQHAsbmRNCrPxizWAT2Zfyr9y
robinhood0xc6911796042b15d7fa4f6cde69e245ddcd3d9c31

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: $2.5M accumulation-side vs $2.5M 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 $2.5M (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: $2.5M accumulation-side vs $2.5M 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 $2.5M (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.