Ripple USD

RLUSDRank #48

$1USD

-0.00% 24h+0.01% 7d+0.00% 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

07:30 → 07:00 UTC · $0.999932 → $1 (+0.01%)Source: CoinGecko · cached up to 5 min

Structural risk profile

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

10/100

Low observed risk

High confidence· 100%

Price volatility · weight 25%0/100
Annualized volatility of 1% over the observed window.
Liquidity depth · weight 25%20/100
24h traded volume of $155,492,470 (9.75% of market cap).
Market size · weight 15%27/100
Market capitalization of $1,595,459,997.
Observed drawdown

Smart Money Intelligence

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

72/100

accumulation

50 baseline + 22 flow imbalance (net accumulation 54% of $19.5M) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $15.0M

smart-money accumulation $0K
whale accumulation $3.2M
exchange outflows $3.4M
buy swaps $8.4M

Distribution side · $4.5M

whale distribution $2.9M
exchange inflows $1.6M
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 · 49%

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

Consolidation · 45%

balanced observed flows
no dominant pressure side

Distribution pressure ·

Price (USD)

Market cap

$1.60B

24h volume

$155.5M

Circulating supply

1,595,420,959

All-time high

$1.07

From ATH

-6.80%

On-chain intelligence

RLUSD on ETHEREUM47 observed transfers · 27 whale events · holder analytics & structure scores

Contract addresses

xrp524C555344000000000000000000000000000000.rMxCKbEDwqr76QuheSUMdEGf4B9xJ8m5De
ethereum0x8292bb45bf1ee4d140127049757c2e0ff06317ed

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: $15.0M accumulation-side vs $4.5M 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 net exchange outflows — supply moving to self-custody historically accompanies holding behavior.
Data: exchange outflows $3.4M vs inflows $1.6M (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: $15.0M accumulation-side vs $4.5M 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 $1.6M (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.