eCash XEC
Rank #231eCash (XEC) trades at $0.000007, the 231th-largest cryptocurrency by market capitalisation at $133.3 M. Over the past 24 hours it is +1.56% and over the week -7.37%. Our composite Price Strength score reads 28/100, liquidity health 6/100, and 7-day annualised volatility sits near 71% — higher than 55% of the top 100 coins.
eCash · At a glance
Ecoonomia composite scores derived from live market data. Methodology →
eCash · Price chart (7 days)
Price performance
| 1h | 24h | 7d | 30d | 1y |
|---|---|---|---|---|
| +0.00% | +1.56% | -7.37% | -7.37% | +0.00% |
Market statistics
eCash · Market analysis
Volatility & risk
Realised volatility for XEC is elevated, with a 7-day annualised reading near 71%, placing it above 55% of the top 100 by volatility. Expect wide swings and size positions accordingly.
Liquidity & depth
Around $3.2 M changed hands in 24 hours — about 2.4% 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 XEC's returns correlate 0.66 with Bitcoin: it shows a moderate link to Bitcoin. Correlation regimes shift, so treat this as a snapshot.
XEC to USD
| XEC | USD |
|---|---|
| 0.5 XEC | $0.000003 |
| 1 XEC | $0.000007 |
| 5 XEC | $0.000033 |
| 1 XEC | $0.000066 |
| 25 XEC | $0.000166 |
| 5 XEC | $0.000332 |
| 1 XEC | $0.000664 |
| 5 XEC | $0.003320 |
| 1, XEC | $0.006640 |
| 10, XEC | $0.0664 |
Supply & tokenomics
eCash has a circulating supply of 20,097,545,297,580 XEC against a hard cap of 21,000,000,000,000 — 95.7% of the maximum already exists. With issuance nearly complete, future dilution is minimal.
eCash · Price prediction 2026–2027
| Period | Low | Average | High | Potential | Bias |
|---|---|---|---|---|---|
| 24 Hours | $0.000007 | $0.000007 | $0.000007 | -0.02% | Neutral |
| 7 Days | $0.000006 | $0.000007 | $0.000007 | -0.15% | Neutral |
| 30 Days | $0.000006 | $0.000007 | $0.000007 | -0.63% | Neutral |
| 3 Months | $0.000006 | $0.000007 | $0.000008 | -1.90% | Neutral |
| 6 Months | $0.000005 | $0.000006 | $0.000008 | -3.76% | Neutral |
| 1 Year | $0.000005 | $0.000006 | $0.000008 | -7.37% | Bearish |
| End of 2026 | $0.000006 | $0.000007 | $0.000008 | -1.57% | Neutral |
| End of 2027 | $0.000005 | $0.000006 | $0.000008 | -8.82% | Bearish |
| 2031 | $0.000002 | $0.000005 | $0.000008 | -31.80% | Bearish |
The ensemble blends a technical (momentum), statistical (volatility) and relative (comparable peers) model. Probabilistic scenarios, not financial advice.
About eCash
How eCash works
eCash is a layer-1 smart-contract platform secured by proof-of-stake: validators lock up (stake) XEC 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 eCash used for?
eCash powers DeFi, NFTs, stablecoins and on-chain applications; XEC 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 eCash
Regional platforms
In Latin America and Spain you can buy eCash on local Spanish-speaking platforms:
| Bitso | Mexico · LatAm |
| Lemon · Buenbit | Argentina |
| Bit2Me · Bitnovo | Spain |
| Binance · Coinbase · Kraken | Global |
eCash vs comparable coins
| Coin | Price | 24h | 7d | Cap |
|---|---|---|---|---|
| Ether.fi ETHFI | $0.6947 | +12.69% | -0.10% | $670.9 M |
| XDC Network XDC | $0.0346 | +0.39% | -3.34% | $689.6 M |
| PancakeSwap CAKE | $2.19 | -0.72% | -0.21% | $695.2 M |
| Pyth Network PYTH | $0.0884 | +1.69% | +4.87% | $696.0 M |
| GHO GHO | $0.9986 | +0.01% | +0.01% | $698.0 M |
| Celestia TIA | $0.7152 | +30.39% | +47.09% | $702.2 M |
eCash · 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.