United Stables U
Rank #63United Stables (U) trades at $1.00, the 63th-largest cryptocurrency by market capitalisation at $1.1 mil M. Over the past 24 hours it is +0.05% and over the week +0.05%. Our composite Price Strength score reads 67/100, liquidity health 1/100, and 7-day annualised volatility sits near 4% — higher than 20% of the top 100 coins.
United Stables · At a glance
Ecoonomia composite scores derived from live market data. Methodology →
United Stables · Price chart (7 days)
Price performance
| 1h | 24h | 7d | 30d | 1y |
|---|---|---|---|---|
| +0.00% | +0.05% | +0.05% | +0.05% | +0.00% |
Market statistics
United Stables · Market analysis
Volatility & risk
Realised volatility for U is relatively contained, with a 7-day annualised reading near 4%, placing it above 20% of the top 100 by volatility. Expect wide swings and size positions accordingly.
Liquidity & depth
Around $4.5 M changed hands in 24 hours — about 0.4% 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 U's returns correlate 0.14 with Bitcoin: it moves with relative independence from Bitcoin. Correlation regimes shift, so treat this as a snapshot.
U to USD
| U | USD |
|---|---|
| 0.5 U | $0.5000 |
| 1 U | $1.00 |
| 5 U | $5.00 |
| 1 U | $10.00 |
| 25 U | $25.00 |
| 5 U | $50.00 |
| 1 U | $100.00 |
| 5 U | $500.00 |
| 1, U | $1,000 |
| 10, U | $10,000 |
Supply & tokenomics
United Stables has a circulating supply of 1,050,609,108 U with no fixed hard cap, so long-run scarcity depends on its issuance policy and any burn mechanics.
United Stables · Price prediction 2026–2027
| Period | Low | Average | High | Potential | Bias |
|---|---|---|---|---|---|
| 24 Hours | $0.9912 | $1.00 | $1.01 | +0.00% | Neutral |
| 7 Days | $0.9767 | $1.00 | $1.03 | +0.00% | Neutral |
| 30 Days | $0.9517 | $1.00 | $1.07 | +0.00% | Neutral |
| 3 Months | $0.9159 | $1.00 | $1.12 | +0.01% | Neutral |
| 6 Months | $0.8811 | $1.00 | $1.17 | +0.03% | Neutral |
| 1 Year | $0.8320 | $1.00 | $1.24 | +0.05% | Neutral |
| End of 2026 | $0.8866 | $1.00 | $1.16 | +0.02% | Neutral |
| End of 2027 | $0.7974 | $1.00 | $1.29 | +0.08% | Neutral |
| 2031 | $0.6250 | $1.00 | $1.54 | +0.27% | Neutral |
The ensemble blends a technical (momentum), statistical (volatility) and relative (comparable peers) model. Probabilistic scenarios, not financial advice.
About United Stables
How United Stables works
United Stables is a layer-1 smart-contract platform secured by proof-of-stake: validators lock up (stake) U 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 United Stables used for?
United Stables powers DeFi, NFTs, stablecoins and on-chain applications; U 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 United Stables
Regional platforms
In Latin America and Spain you can buy United Stables on local Spanish-speaking platforms:
| Bitso | Mexico · LatAm |
| Lemon · Buenbit | Argentina |
| Bit2Me · Bitnovo | Spain |
| Binance · Coinbase · Kraken | Global |
United Stables vs comparable coins
| Coin | Price | 24h | 7d | Cap |
|---|---|---|---|---|
| Ethereum Classic ETC | $7.02 | +0.25% | -0.72% | $1.1 mil M |
| USDGO USDGO | $1.00 | +0.01% | +0.00% | $1.0 mil M |
| Bitget Token BGB | $1.64 | -0.73% | -1.11% | $1.1 mil M |
| Spiko EU T-Bills Money Market Fund EUTBL | $1.21 | -0.01% | +0.27% | $996.5 M |
| Pepe PEPE | $0.000003 | -0.52% | -3.43% | $1.2 mil M |
| Blockchain Capital BCAP | $106.19 | +0.00% | -0.41% | $967.6 M |
United Stables · 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.