Author: Michael Fawn
Michael Fawn
Michael Fawn is a cryptocurrency journalist and blockchain analyst with a passion for breaking down complex market trends into easy-to-understand insights. Covering everything from Bitcoin and Ethereum to emerging altcoins and Web3 innovation, Michael focuses on delivering accurate, timely, and engaging crypto news for investors and enthusiasts alike. With years of experience following the digital asset industry, Michael keeps readers informed on the latest developments shaping the future of finance.
Artificial intelligence agents have demonstrated the ability to pay each other using Bitcoin, leveraging the efficiency of the Lightning Network for transactions.
President Trump announced that Iran will compensate for damages to ships using Iranian money currently held by the United States government.
The Smarter Web Company sold 177.89 Bitcoin at $65,762 each to settle an $11.7 million debt instrument with TOBAM Group.
Bitcoin is nearing a critical $69,000 level. Increased ETF inflows are met with professional investors exercising caution and observing market dynamics.
Pons V2 now supports real-world asset (RWA) trading pairs, expanding the capabilities and ambitions of the Robinhood Chain ecosystem.
MicroStrategy has modified the relationship between its MSTR stock and Bitcoin, prompting questions about what shareholders now possess and the implications for their investment.
Escalation in the Red Sea involving Iran could push Brent crude oil prices towards $100 per barrel, driven by supply disruption fears.
Financial services giant Charles Schwab, with $13 trillion in assets, has endorsed the CLARITY ACT, calling it a vital catalyst that requires legislative approval.
Ethereum trades below its realized price. CryptoQuant analysis indicates only two of five historical bottom signals have triggered, suggesting the market bottom may not yet…
An article discusses whether crypto is a good investment, highlighting the importance of individual risk tolerance and the strategy of dollar-cost averaging.