To The Moon

Can a company be growing rapidly and still disappoint investors? This week offers an interesting test. SpaceX, Meta and Tesla are facing different business challenges, but all three must convince the market that their investments can deliver meaningful financial returns. Ahead of earnings, SpaceX gained 1.32%, Tesla climbed 3.76%, and Meta slipped 0.55%, according to the market snapshot. The contrasting share price movements show how differently investors can view companies heading into earnings, even when each has an ambitious growth story. 🚀 $SpaceX(SPCX)$ : Growth Beyond the Launchpad SpaceX has built its reputation on rocket launches, but Starlink has added another dimension to its business through satellite internet connectivity. The exp

AI chip stocks are moving higher ahead of Nvidia CEO Jensen Huang’s October 21 keynote at GTC Berlin. Nvidia gained 1.38%, Marvell climbed 4.06%, AMD rose 1.76%, and Broadcom advanced 1.78%. The market is looking for fresh signals about accelerated computing, AI infrastructure, AI agents and physical AI. But rather than focusing only on which company launches the most powerful chip, I think another question deserves attention: What happens when AI becomes cheaper to run? Lower inference costs could make AI applications more economical for businesses, potentially expanding demand beyond today’s biggest technology companies. That could create opportunities across the semiconductor industry, although each company faces different challenges. 🟢 $NVIDIA(NVD

Nvidia rebounded 1.38%, with Marvell +4.06%, AMD +1.76% and Broadcom +1.78% as attention shifts to Jensen Huang's 21 October GTC Berlin keynote. NVDA is around $217. But I do not think another impressive GPU announcement is enough to move the stock materially. The market already believes Nvidia has great chips. What it now wants is proof that AI demand is broadening beyond hyperscaler training into inference, agents, enterprise AI and physical AI. That is what could reignite the trade. 🔵 THE NUMBER BEHIND THE KEYNOTE I am watching for evidence that falling inference costs are creating more total demand, rather than simply making existing AI workloads cheaper. That is the next Nvidia flywheel: Better compute → cheaper inference → more AI applications → more tokens → more infrastructure dema

A stock falls 15%. Is it now a bargain, or is the market warning you about something? When markets turn volatile, investors often hear the same advice: buy the dip. The logic sounds simple. If you liked a company at a higher price, shouldn’t you like it even more after a decline? Not necessarily. A falling share price can create an opportunity, but it can also reflect weaker earnings expectations, expensive valuations or risks that investors previously underestimated. Rather than trying to guess the market bottom, I think it helps to separate a temporary price decline from a deterioration in the underlying business. 🔍 1. Has the Investment Case Changed? Before buying a stock after a sharp decline, I would revisit why the market valued it highly in the first place. Consider three examples.

Buying the Dip Is Easy. Knowing What to Buy Is the Hard Part. Everyone wants to buy near the bottom. The difficult part is knowing whether the price drop is an opportunity or a warning sign. The recent pullback has put investors in familiar positions. Some are already adding to their favourite stocks. Others are holding cash and waiting for a bigger correction. And some are fully invested, watching their portfolios fall with little room to average down. Personally, I think the better question is not whether we have reached the bottom. It is whether the stocks we want to own are finally offering a more attractive risk-to-reward ratio. A lower price does not automatically mean a better investment. 1. This pullback is testing the AI growth story One thing worth watching in this sell-off is th