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.
Kalshi has filed a federal lawsuit against Minnesota to block a new law banning prediction markets by August 1, 2026, citing federal preemption by the CFTC.
Trezor has launched native USDt and USDC yield within the Trezor Suite application via Morpho, allowing users to earn 5-7% APR on stablecoins securely.
Hypernova, a prop trading platform built on Hyperliquid, raised $3 million in pre-seed funding led by Lemniscap to expand its on-chain funded trading model.
VanEck has officially launched VBNB, the first U.S. spot BNB ETF, on the Nasdaq. Explore fees, network stats, and the latest market performance for BNB.
Gemini Space Station, Inc. has launched Command Center, a new intelligence hub powered by SpaceXAI models for real-time prediction market summaries and signals.
Standard Chartered compares Ethereum’s current market to Amazon’s 2001 performance, maintaining a $4,000 end-2026 price target despite recent underperformance.
Ether fell below $2,000 on May 28, 2026, even as futures open interest hit a record 16.39 million ETH. Discover why aggressive shorting and ETF outflows are…
The CFTC and Gemini have moved to reverse a 2025 $5M settlement after a review found the case relied on an unreliable whistleblower and flawed evidence.
Coinbase’s Base network launches Base MCP to enable AI-controlled crypto wallets. Discover how AI agents can now execute DeFi trades using natural language.
Corrected crypto analysis for May 28, 2026. Bitcoin price drops to $74k as Fear & Greed Index hits 22. Detailed Near (NEAR) price analysis following ETF outf…