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Top Synthetic Coins by Market Cap
The Synthetic market cap today is $310 Million, a -1.8% change in the last 24 hours.
Read More about Synthetic
This category includes both synthetic asset issuers and the synthetic assets themselves. Synthetic assets are on-chain tokens that replicate the price behavior of another asset, whether it’s a fiat currency, commodity, or stock using smart contracts and price oracles.
Highlights
Category Overview
5 months ago
$310,247,708
Market Cap
1.9%
$29,531,136
24h Trading Volume
| # | Coin | Price | 1h | 24h | 7d | 30d | 24h Volume | Market Cap | FDV | Market Cap / FDV | Last 7 Days | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 233 |
Synthetix
SNX
|
Buy
|
$0.2101 | 0.7% | 4.7% | 9.4% | 1.8% | $15,302,014 | $122,076,575 | $122,165,590 | 0.9992713621930983 |
|
|
| 257 |
AWE Network
AWE
|
Buy
|
$0.05455 | 0.1% | 1.6% | 5.1% | 4.4% | $1,983,133 | $105,977,777 | $109,119,306 | 0.9712101415135336 |
|
|
Metronome Synth ETH
MSETH
|
$1,869.67 | 0.2% | 1.4% | 3.1% | 18.8% | $4,154,563 | $50,955,282 | $50,955,282 | 0.9999999999999999 |
|
|||
| 485 |
Metronome Synth USD
MSUSD
|
$0.9824 | 0.0% | 0.0% | 0.9% | 1.2% | $3,764,464 | $42,073,539 | $42,073,539 | 0.9999999999999998 |
|
||
| 634 |
UMA
UMA
|
$0.3300 | 0.1% | 10.4% | 11.1% | 14.6% | $3,777,860 | $29,894,382 | $42,682,819 | 0.7003844383951868 |
|
||
| 1628 |
sETH
SETH
|
$318.87 | 0.0% | 5.6% | 6.4% | 25.8% | $1.15 | $3,692,447 | $3,692,447 | 0.9999999999999999 | |||
| 1840 |
Cryptex Finance
CTX
|
$0.2988 | 0.0% | 0.0% | 2.4% | 28.8% | $849,434 | $2,991,478 | $2,991,478 | 1.0 |
|
||
| 2286 |
Indigo Protocol
INDY
|
$0.08328 | 0.5% | 2.8% | 13.3% | 11.5% | $4,402.39 | $1,591,739 | $2,914,726 | 0.5461024285714287 |
|
||
| 3269 |
Offshift
XFT
|
$0.05226 | 0.6% | 1.0% | 0.7% | 7.0% | $62.60 | $526,367 | $526,367 | 0.9999999999999996 |
|
||
| 3281 |
Jarvis Reward
JRT
|
$0.0008876 | 0.0% | 1.6% | 2.0% | 8.6% | $1.93 | $501,497 | $501,497 | 1.0 |
|
||
| 3714 |
Jarvis
JARVIS
|
$0.007492 | 0.2% | 4.9% | 4.2% | 103.1% | $380.11 | $314,659 | $314,659 | 1.0 |
|
||
| 4082 |
Mirror Protocol
MIR
|
$0.002801 | 0.1% | 11.0% | 3.0% | 19.7% | $2,591.86 | $217,740 | $1,037,897 | 0.20978932720771776 |
|
||
| 4136 |
Dafi Protocol
DAFI
|
$0.00009060 | 0.0% | 0.3% | 0.1% | 21.2% | $13.38 | $203,839 | $203,839 | 1.0 |
|
||
| 4958 |
Mettalex
MTLX
|
$0.02349 | 0.0% | 1.0% | 1.6% | 10.9% | $71.21 | $95,439.78 | $939,672 | 0.10156712500000001 |
|
||
| 5631 |
Selenium
SELE
|
$0.008064 | 0.1% | 0.0% | 15.4% | 15.4% | $1.63 | $50,478.57 | $50,478.57 | 1.0 |
|
||
| 5820 |
Xpanse
HZN
|
$0.0002294 | 0.0% | 1.3% | 0.1% | 0.3% | $7.90 | $47,936.19 | $60,545.86 | 0.7917335408542597 |
|
||
Cyclo cyWETH
CYWETH
|
$0.3215 | 0.2% | 0.0% | 1.1% | 11.0% | $99.90 | $33,747.77 | $33,747.77 | 0.9999999999999993 |
|
|||
Cyclo cysFLR
CYSFLR
|
$0.09649 | 0.5% | 0.2% | 6.3% | 3.0% | $4.48 | $31,174.02 | $31,174.02 | 1.0 |
|
|||
| 6234 |
sEUR
SEUR
|
$0.01849 | 0.0% | 0.7% | 0.4% | 2.0% | $0.9243 | $18,393.83 | $18,393.83 | 1.0 | |||
sRUNE
SRUNE
|
$0.3902 | 0.0% | 3.0% | 3.5% | 13.0% | $33.72 | - | $9,511.01 | |||||
Indigo Protocol iBTC
IBTC
|
$63,456.75 | 1.1% | 2.1% | 4.2% | 4.1% | $332.20 | - | - |
|
||||
Cyclo cyARB
CYARB
|
$0.00 | 0.0% | 0.0% | 0.0% | 0.0% | - | - | - |
|
||||
Cyclo cyWETH.pyth
CYWETH.PYTH
|
$0.00 | - | - | - | - | - | - | - | |||||
Portfolio of Risk-adjusted Investment Strategy Mix
PRISM
|
$0.9909 | 0.0% | 0.0% | 0.4% | 16.1% | $49.55 | - | $32,512.31 | |||||
Cyclo cyWBTC.pyth
CYWBTC
|
$0.00 | - | - | - | - | - | - | - | |||||
Showing 1 to 25 of 25 results
Rows
Synthetic Categories
| Name | 24h | Market Cap |
|---|---|---|
|
All Synthetic
|
1.8%
|
$310,274,287
|
|
Synthetic Asset
|
0.5%
|
|
|
Synthetic Issuer
|
3.0%
|
|
Top Synthetic Sectors Market Cap Chart
The chart below shows the market capitalization and dominance across Synthetic sub-categories including Synthetic Asset, Synthetic Issuer, and others over a period of time.
Major Synthetic Sectors Performance Chart
The chart below shows the relative performance of Synthetic sub-categories over time, tracking their percentage gains and losses in-terms of market capitalization across different time periods.
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