Decentraland MANA
Rank #209Decentraland (MANA) trades at $0.0731, the 209th-largest cryptocurrency by market capitalisation at $143.2 M. Over the past 24 hours it is +1.94% and over the week +3.07%. Our composite Price Strength score reads 39/100, liquidity health 21/100, and 7-day annualised volatility sits near 57% — higher than 72% of the top 100 coins.
Decentraland · At a glance
Ecoonomia composite scores derived from live market data. Methodology →
Decentraland · Price chart (7 days)
Price performance
| 1h | 24h | 7d | 30d | 1y |
|---|---|---|---|---|
| +0.00% | +1.94% | +3.07% | +3.07% | +0.00% |
Market statistics
Decentraland · Market analysis
Volatility & risk
Realised volatility for MANA is moderate, with a 7-day annualised reading near 57%, placing it above 72% of the top 100 by volatility. Expect wide swings and size positions accordingly.
Liquidity & depth
Around $11.5 M changed hands in 24 hours — about 8% 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 MANA's returns correlate 0.44 with Bitcoin: it shows a moderate link to Bitcoin. Correlation regimes shift, so treat this as a snapshot.
MANA to USD
| MANA | USD |
|---|---|
| 0.5 MANA | $0.0366 |
| 1 MANA | $0.0731 |
| 5 MANA | $0.3657 |
| 1 MANA | $0.7313 |
| 25 MANA | $1.83 |
| 5 MANA | $3.66 |
| 1 MANA | $7.31 |
| 5 MANA | $36.57 |
| 1, MANA | $73.13 |
| 10, MANA | $731.33 |
Supply & tokenomics
Decentraland has a circulating supply of 1,958,420,860 MANA with no fixed hard cap, so long-run scarcity depends on its issuance policy and any burn mechanics.
Decentraland · Price prediction 2026–2027
| Period | Low | Average | High | Potential | Bias |
|---|---|---|---|---|---|
| 24 Hours | $0.0724 | $0.0731 | $0.0742 | +0.01% | Neutral |
| 7 Days | $0.0712 | $0.0732 | $0.0760 | +0.06% | Neutral |
| 30 Days | $0.0692 | $0.0733 | $0.0791 | +0.25% | Neutral |
| 3 Months | $0.0665 | $0.0737 | $0.0838 | +0.76% | Neutral |
| 6 Months | $0.0641 | $0.0742 | $0.0887 | +1.53% | Neutral |
| 1 Year | $0.0608 | $0.0754 | $0.0961 | +3.07% | Neutral |
| End of 2026 | $0.0645 | $0.0741 | $0.0879 | +1.39% | Neutral |
| End of 2027 | $0.0586 | $0.0764 | $0.1017 | +4.50% | Neutral |
| 2031 | $0.0482 | $0.0851 | $0.1373 | +16.34% | Bullish |
The ensemble blends a technical (momentum), statistical (volatility) and relative (comparable peers) model. Probabilistic scenarios, not financial advice.
About Decentraland
How Decentraland works
Decentraland is a layer-1 smart-contract platform secured by proof-of-stake: validators lock up (stake) MANA 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 Decentraland used for?
Decentraland powers DeFi, NFTs, stablecoins and on-chain applications; MANA 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 Decentraland
Regional platforms
In Latin America and Spain you can buy Decentraland on local Spanish-speaking platforms:
| Bitso | Mexico · LatAm |
| Lemon · Buenbit | Argentina |
| Bit2Me · Bitnovo | Spain |
| Binance · Coinbase · Kraken | Global |
Decentraland vs comparable coins
| Coin | Price | 24h | 7d | Cap |
|---|---|---|---|---|
| Venice Token VVV | $11.04 | +0.51% | -1.30% | $522.6 M |
| USX USX | $0.9998 | -0.03% | +0.02% | $522.9 M |
| YLDS YLDS | $0.9998 | -0.01% | +0.01% | $551.8 M |
| Usual USD USD0 | $0.9986 | -0.01% | +0.04% | $552.4 M |
| XDC Network XDC | $0.0278 | +2.01% | +1.78% | $553.5 M |
| Flare FLR | $0.006499 | -2.70% | -2.44% | $564.3 M |
Decentraland · 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.