OMG - Price, Charts & Blockchain Insights

24H High

0.1011

24H Low

0.0788

24H Volume

1.89M

24H Volatility

28.30%

All Time High

20.100

All Time Low

0.0788

Correlation with BTC

0.00

Return On Investment

-98.87%

Market Cap

0.00

OMG Network, formerly known as OmiseGo, is a non-custodial, layer-2 scaling solution built for the Ethereum blockchain. As an Ethereum scaling solution, OMG Network is designed to allow users to transfer ETH and ERC20 tokens significantly faster and cheaper than when transacting directly on the Ethereum network.The network is based on a novel scaling solution called MoreViable Plasma, which uses a sidechain architecture to group several transactions off-chain into a batch, which can then be verified as a single transaction on the Ethereum root chain. According to OMG Network, this technology has the potential to scale Ethereum to thousands of transactions per second (TPS) — instead of the 10 to 14 tps Ethereum 1.0 is currently capable of.The network is powered by the OMG utility token, which can be used as one of the payment methods for fees on the OMG Network, and will eventually be stakable — helping to secure the network in return for rewards.

Official Website Block Explorer Whitepaper

Social Media Sentiment

Bullish

0 Bullish

0 Neutral

0 Bearish

The current sentiment of OMG on social media as of February 14, 2026 indicates a Bullish rating, with 0 users expressing a positive Bullish sentiment, 0 users opting for a Neutral, and 0 users suggesting a Bearish. This reflects a generally optimistic outlook among social media participants regarding OMG's future outlook. While social media sentiment can provide valuable insights into public perception and market trends, its reliability as a sole reference for cryptocurrency investment decisions is limited. The data is often influenced by a small, vocal subset of users, which may not represent the broader market or include professional analysis. Factors such as hype, manipulation, or coordinated campaigns can skew sentiment, reducing its accuracy.