$24M Crypto Ponzi Scheme Could Lead to 280 Years in Prison
A U.S. jury has found the owner of Profit Connect guilty of running a $24 million crypto Ponzi scheme that affected at least 400 investors.
He promised returns of up to 30% per year, claiming they came from AI, crypto mining, and powerful computers. In reality, money from new investors was used to pay earlier investors, cover company expenses, and fund personal spending.
He was convicted on 15 charges, including fraud and money laund...
Bitcoin’s Rise and Sudden Dumps
Bitcoin’s recent surge above $80,000 has attracted strong buying, but the rapid rally has also created heavy volatility. After climbing sharply, BTC faces significant resistance around $80,000–$82,000, where traders often take profits. Short squeezes and liquidations can accelerate upward moves, while profit-taking can trigger sudden pullbacks.
The key question now is whether Bitcoin can hold above $80,000 rather than simply spike through it. A sustained breako...
Oil just fell through $81/barrel, down over 5% today.
Interesting timing—US officials say there are zero active talks with Iran right now. So this selloff isn't about some diplomatic breakthrough.
Usually when crude drops this hard this fast, it's either demand fears creeping in or traders front-running something bigger. Could be recession worries resurfacing, could be positioning ahead of inventory data, or maybe just overleveraged longs getting flushed.
Either way, sub-$81 crude changes the...
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$BTC IS SHOWING STRENGTH — WHAT'S NEXT?
$BTC is currently showing bullish momentum after surging over $79,000, fueled by the U.S. Treasury's expansion of bond buybacks and massive inflows of over $1.9 Billion into spot ETFs.
📊 MARKET SNAPSHOT
• Current Price: $79,103.60
• 24H High: $81,235.03
• 24H Low: $77,910.73
• Market Cap: $1.60 Trillion
• 24H Change: -0.68% (Consolidating right under key resistance after a heavy short squeeze)
📈 TECHNICAL VIEW
$BTC is hold...
NVIDIA just unveiled "Scale In" at Hot Chips—a new infrastructure scaling vector focused on optimizing the front-end to back-end network flow. This is about speed: getting client requests from the edge to servers and returning AI inference results to users as fast as possible. It sits alongside their existing scaling dimensions (scale up, scale out, scale across, context scale). For $NVDA investors, this matters because it targets latency bottlenecks in real-time AI deployments—think chatbots, a...