Sushi

Sushi (SUSHI)

Full information about Sushi (SUSHI). Current Sushi price in NGN, SUSHI open/close rates, Sushi history charts, Sushi market capitalization and volume.

1 SUSHI = 17 510.62 ₦ Nigerian Naira (NGN)
10.8923699 NGN

Last updated: 2020-09-01 11:48:18 UTC - about 5 years ago 1 USD = 1607.604205 NGN

During last hour the price of Axion (AXN) has moved by arrow_upward0.000000 %. The highest price was . The lowest price - . During last day Axion price has moved by arrow_downward-14.45 %. Trading starts from . During yesterday the highest price was and the lowest price was . Trading closed with the price . One year ago price of AXN was and during this time before today the lowest price fixed on and the highest price fixed on . The maximum price of Axion was
General information
Global rank:61
Name: Sushi Sushi
Symbol:SUSHI
Current coin price (NGN):17 510.62 ₦
Last hour:arrow_downward-1.59 %
Last 24 hours:arrow_upward196.51 %
Last 7 days:0.000000 %trending_up
Capitalisation (NGN):443 692 818 874.86 ₦
Volume 24h (NGN):829 734 554 020.55 ₦
Available supply:25 338 499.00 SUSHI
Algorithm:ETH Token
Start date:30/08/2020
Last updated: 2020-09-01 11:48:18 UTC - about 5 years ago
JavaScript chart by amCharts 3.20.16Value$0.6017
JavaScript chart by amCharts 3.20.16Apr 08Apr 10Apr 12Apr 14Apr 16Apr 18Apr 20Apr 22Apr 24Apr 26Apr 28Apr 30MayMay 04May 060.450.500.550.600.650.70
JavaScript chart by amCharts 3.20.16Volume$174,783.21
JavaScript chart by amCharts 3.20.16Apr 08Apr 10Apr 12Apr 14Apr 16Apr 18Apr 20Apr 22Apr 24Apr 26Apr 28Apr 30MayMay 04May 060500,000
JavaScript chart by amCharts 3.20.16Apr 08Apr 10Apr 12Apr 14Apr 16Apr 18Apr 20Apr 22Apr 24Apr 26Apr 28Apr 30MayMay 04May 06

Trading information

Today Last week Last month Last year All time
Open: -
High:
Low:
Close: -

Sushi/Nigerian Naira (SUSHI/NGN) price chart

Sushi/Nigerian Naira (SUSHI/NGN) capitalisation and volume charts

SushiSwap is designed to be an evolution of #Uniswap with $SUSHI tokenomics. SushiSwap protocol better aligns incentives for network participants by introducing revenue-sharing & network effects to the popular AMM model.