STRAX - Price, Charts & Blockchain Insights

24H High

0.01257

24H Low

0.01222

24H Volume

7.58M

24H Volatility

2.86%

All Time High

4.550

All Time Low

0.01211

Correlation with BTC

0.44

Return On Investment

-97.46%

Market Cap

26.86M

Stratis Group Ltd., the company behind the Stratis platform, was founded in 2016 by Chris Trew. He started the company with the purpose of developing an enterprise-focused blockchain platform, which he felt was missing from the industry at the time. He decided to base the platform on the Bitcoin (BTC) protocol, believing that Bitcoin would become dominant in the crypto space --- meaning that its codebase would be consistently improved over time.Before starting Stratis, Trew's background was in enterprise information technology. He taught himself the programming language C# and spent 10 years serving in various IT roles in the legal, aviation and public sectors as well as with financial institutions such as Barclays. He also operated an internet marketing and search engine optimization business.Within the crypto and blockchain industry, Trew was a volunteer developer for the cryptocurrency project Blitz and social networking platform The Viral Exchange.

Official Website Block Explorer Whitepaper

Social Media Sentiment

Bullish

0 Bullish

0 Neutral

0 Bearish

The current sentiment of STRAX on social media as of May 26, 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 STRAX'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.