Neutrl USD NUSD
Rank #226Neutrl USD (NUSD) trades at $0.9991, the 226th-largest cryptocurrency by market capitalisation at $140.0 M. Over the past 24 hours it is +0.04% and over the week +0.05%. Our composite Price Strength score reads 66/100, liquidity health 7/100, and 7-day annualised volatility sits near 3% — higher than 18% of the top 100 coins.
Neutrl USD · At a glance
Ecoonomia composite scores derived from live market data. Methodology →
Neutrl USD · Price chart (7 days)
Price performance
| 1h | 24h | 7d | 30d | 1y |
|---|---|---|---|---|
| +0.00% | +0.04% | +0.05% | +0.05% | +0.00% |
Market statistics
Neutrl USD · Market analysis
Volatility & risk
Realised volatility for NUSD is relatively contained, with a 7-day annualised reading near 3%, placing it above 18% of the top 100 by volatility. Expect wide swings and size positions accordingly.
Liquidity & depth
Around $3.8 M changed hands in 24 hours — about 2.7% of market value turning over daily — which we read as thin liquidity, so larger orders can move the price.
Correlation with Bitcoin
Over the past week NUSD's returns correlate 0.05 with Bitcoin: it moves with relative independence from Bitcoin. Correlation regimes shift, so treat this as a snapshot.
NUSD to USD
| NUSD | USD |
|---|---|
| 0.5 NUSD | $0.4995 |
| 1 NUSD | $0.9991 |
| 5 NUSD | $5.00 |
| 1 NUSD | $9.99 |
| 25 NUSD | $24.98 |
| 5 NUSD | $49.95 |
| 1 NUSD | $99.91 |
| 5 NUSD | $499.55 |
| 1, NUSD | $999.10 |
| 10, NUSD | $9,991 |
Supply & tokenomics
Neutrl USD has a circulating supply of 140,095,114 NUSD with no fixed hard cap, so long-run scarcity depends on its issuance policy and any burn mechanics.
Neutrl USD · Price prediction 2026–2027
| Period | Low | Average | High | Potential | Bias |
|---|---|---|---|---|---|
| 24 Hours | $0.9903 | $0.9991 | $1.01 | +0.00% | Neutral |
| 7 Days | $0.9758 | $0.9991 | $1.03 | +0.00% | Neutral |
| 30 Days | $0.9509 | $0.9991 | $1.07 | +0.00% | Neutral |
| 3 Months | $0.9151 | $0.9992 | $1.12 | +0.01% | Neutral |
| 6 Months | $0.8803 | $0.9994 | $1.17 | +0.03% | Neutral |
| 1 Year | $0.8312 | $0.9996 | $1.24 | +0.05% | Neutral |
| End of 2026 | $0.8714 | $0.9994 | $1.18 | +0.03% | Neutral |
| End of 2027 | $0.7883 | $0.9999 | $1.30 | +0.08% | Neutral |
| 2031 | $0.6244 | $1.00 | $1.54 | +0.25% | Neutral |
The ensemble blends a technical (momentum), statistical (volatility) and relative (comparable peers) model. Probabilistic scenarios, not financial advice.
About Neutrl USD
How Neutrl USD works
Neutrl USD is a layer-1 smart-contract platform secured by proof-of-stake: validators lock up (stake) NUSD to propose and attest blocks, and earn rewards for honest behaviour while risking penalties (slashing) for misbehaviour. Developers deploy decentralised applications on top of it.
What is Neutrl USD used for?
Neutrl USD powers DeFi, NFTs, stablecoins and on-chain applications; NUSD is used to pay transaction fees (gas), to stake and help secure the network, and to participate in governance.
Risks & considerations
All crypto-assets are volatile and high-risk; never invest more than you can afford to lose. Specific risks include validator centralisation, slashing, smart-contract bugs in the ecosystem and competition between chains.
Where to buy Neutrl USD
Regional platforms
In Latin America and Spain you can buy Neutrl USD on local Spanish-speaking platforms:
| Bitso | Mexico · LatAm |
| Lemon · Buenbit | Argentina |
| Bit2Me · Bitnovo | Spain |
| Binance · Coinbase · Kraken | Global |
Neutrl USD vs comparable coins
| Coin | Price | 24h | 7d | Cap |
|---|---|---|---|---|
| apxUSD APXUSD | $0.9948 | -0.49% | -0.49% | $523.3 M |
| Usual USD USD0 | $0.9985 | +0.01% | +0.02% | $553.2 M |
| Artificial Superintelligence Alliance FET | $0.2528 | -8.20% | +0.43% | $571.1 M |
| GHO GHO | $0.9993 | -0.02% | +0.04% | $583.6 M |
| Pump.fun PUMP | $0.001672 | -8.26% | -6.77% | $587.9 M |
| Arbitrum ARB | $0.0945 | -7.56% | -12.30% | $591.2 M |
Neutrl USD · FAQ
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Disclaimer: informational content only, not financial advice. Cryptocurrencies are volatile and high-risk. Predictions are model estimates and may be inaccurate.