Maple Finance SYRUP
Rank #159Maple Finance (SYRUP) trades at $0.1844, the 159th-largest cryptocurrency by market capitalisation at $214.5 M. Over the past 24 hours it is -0.27% and over the week -1.65%. Our composite Price Strength score reads 40/100, liquidity health 11/100, and 7-day annualised volatility sits near 87% — higher than 87% of the top 100 coins.
Maple Finance · At a glance
Ecoonomia composite scores derived from live market data. Methodology →
Maple Finance · Price chart (7 days)
Price performance
| 1h | 24h | 7d | 30d | 1y |
|---|---|---|---|---|
| +0.00% | -0.27% | -1.65% | -1.65% | +0.00% |
Market statistics
Maple Finance · Market analysis
Volatility & risk
Realised volatility for SYRUP is elevated, with a 7-day annualised reading near 87%, placing it above 87% of the top 100 by volatility. Expect wide swings and size positions accordingly.
Liquidity & depth
Around $9.2 M changed hands in 24 hours — about 4.3% 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 SYRUP's returns correlate 0.24 with Bitcoin: it moves with relative independence from Bitcoin. Correlation regimes shift, so treat this as a snapshot.
SYRUP to USD
| SYRUP | USD |
|---|---|
| 0.5 SYRUP | $0.0922 |
| 1 SYRUP | $0.1844 |
| 5 SYRUP | $0.9219 |
| 1 SYRUP | $1.84 |
| 25 SYRUP | $4.61 |
| 5 SYRUP | $9.22 |
| 1 SYRUP | $18.44 |
| 5 SYRUP | $92.19 |
| 1, SYRUP | $184.37 |
| 10, SYRUP | $1,844 |
Supply & tokenomics
Maple Finance has a circulating supply of 1,163,984,678 SYRUP with no fixed hard cap, so long-run scarcity depends on its issuance policy and any burn mechanics.
Maple Finance · Price prediction 2026–2027
| Period | Low | Average | High | Potential | Bias |
|---|---|---|---|---|---|
| 24 Hours | $0.1826 | $0.1844 | $0.1869 | 0.00% | Neutral |
| 7 Days | $0.1797 | $0.1843 | $0.1909 | -0.03% | Neutral |
| 30 Days | $0.1745 | $0.1841 | $0.1977 | -0.14% | Neutral |
| 3 Months | $0.1669 | $0.1836 | $0.2073 | -0.42% | Neutral |
| 6 Months | $0.1593 | $0.1828 | $0.2162 | -0.83% | Neutral |
| 1 Year | $0.1484 | $0.1813 | $0.2280 | -1.65% | Neutral |
| End of 2026 | $0.1605 | $0.1830 | $0.2148 | -0.75% | Neutral |
| End of 2027 | $0.1405 | $0.1800 | $0.2359 | -2.39% | Neutral |
| 2031 | $0.1007 | $0.1697 | $0.2674 | -7.99% | Bearish |
The ensemble blends a technical (momentum), statistical (volatility) and relative (comparable peers) model. Probabilistic scenarios, not financial advice.
About Maple Finance
How Maple Finance works
Maple Finance is a layer-1 smart-contract platform secured by proof-of-stake: validators lock up (stake) SYRUP 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 Maple Finance used for?
Maple Finance powers DeFi, NFTs, stablecoins and on-chain applications; SYRUP 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 Maple Finance
Regional platforms
In Latin America and Spain you can buy Maple Finance on local Spanish-speaking platforms:
| Bitso | Mexico · LatAm |
| Lemon · Buenbit | Argentina |
| Bit2Me · Bitnovo | Spain |
| Binance · Coinbase · Kraken | Global |
Maple Finance 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 |
Maple Finance · 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.