Re Protocol reUSD

REUSDRank #178

$1.09USD

-0.02% 24h+0.08% 7d+0.51% 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

2025-07-30 → 2026-07-29 UTC · $0.997015 → $1.09 (+9.42%)Source: CoinGecko · cached up to 60 min

Structural risk profile

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

24/100

Low observed risk

High confidence· 100%

Price volatility · weight 25%0/100
Annualized volatility of 3% over the observed window.
Liquidity depth · weight 25%60/100
24h traded volume of $3,997,220 (2.39% of market cap).
Market size · weight 15%59/100
Market capitalization of $167,380,668.
Observed drawdown

Smart Money Intelligence

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

90/100

accumulation

50 baseline + 40 flow imbalance (net accumulation 100% of $497K) + 0 breadth (0 scored wallets). Measures observed positioning, not investment quality.

Accumulation side · $497K

smart-money accumulation $0K
whale accumulation $0K
exchange outflows $0K
buy swaps $497K

Distribution side · $0K

whale distribution $0K
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 · 60%

market regime currently risk-on

Consolidation · 35%

balanced observed flows
no dominant pressure side

Distribution pressure · 5%

Price (USD)

$1.09

Market cap

$167.4M

24h volume

$4.0M

Circulating supply

153,423,843

All-time high

$1.1

From ATH

-0.51%

On-chain intelligence

reUSD on ETHEREUM5 observed transfers · 4 whale events · holder analytics & structure scores

Contract addresses

ethereum0x5086bf358635b81d8c47c66d1c8b9e567db70c72
arbitrum one0x76ce01f0ef25aa66cc5f1e546a005e4a63b25609
base0x7d214438d0f27afccc23b3d1e1a53906ace5cfea
ink0x5bcf6b008bf80b9296238546bace1797657b05d6
binance smart chain0xba9425ec55ee0e72216d18e0ad8bbba2553bfb60
avalanche0x180af87b47bf272b2df59dccf2d76a6eafa625bf

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: $497K accumulation-side vs $0K 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 accumulation side persists across sessions, using the flow imbalance as context rather than a signal by itself.
Data: observed 30d flows: $497K accumulation-side vs $0K 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 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.