To The Moon

$NVIDIA Corp(NVDA)$   $UiPath(PATH)$   $Circle Internet Corp.(CRCL)$   The arrival of 5X single-stock ETFs feels like Wall Street just handed retail traders a loaded lightsaber — powerful, dazzling... and one wrong swing, you're toast. These products aren't investments; they're adrenaline shots for momentum junkies. Let's be real: in this volatility regime, crypto-linked and AI-chip ETFs will have the shortest lifespan. Anything tracking $AMD or $NVDA 5X will burn brightest — and die fastest — because their implied volatility is already through the roof. One bad earnings call, and a -20%

Every ticker that OpenAI whispers to turns into gold — $AMD, $AVGO, $ARM... all glowing like they've been blessed by the AI gods. But here's the thing: when everyone gets the golden touch, that's usually when the music's about to stop. We're watching AI euphoria 2.0, where chips trade like meme stocks and even second-tier players are priced for perfection. But dig deeper — OpenAI's expansion into custom chips and cloud alliances isn't random. It's vertical integration — their way of locking the supply chain before the next compute war. Winners short term: $AVGO — real revenue, not vaporware. $AMD — AI chips finally moving from PowerPoint to production. $ORCL — the quiet gainer riding on AI cloud spillover. Dark horses: $PATH (automation), $CRCL (AI infra + fintech link), $RZLV (AI microcap

Telecom equipment giant Ericsson $LM Ericsson Telephone(ERIC)$  surged 20% after its earnings call — mainly due to cost optimization efforts rather than industry-wide growth. However, during the call, management clearly emphasized that Edge AI will be a key driver of future network investments. An analyst asked whether this trend was already being observed in current discussions with telecom operators — and whether actions were already being taken — or if it was something expected to unfold in the coming years. The company’s response was particularly insightful and offers a good window into how frontline network operators currently view the market. Ericsson explained that most AI investments today are still focused on data centers, primarily