To The Moon

It's been tough, but we finally got a big call order. A bounce needs big call orders underneath it. But then again, just because there are big call orders doesn't mean it's time to be bullish. The January-expiry DRAM 60 call, $DRAM 20270115 60.0 CALL$ , opened 87K contracts on Monday, with about $16M+ traded. This order is the real deal: out-of-the-money strike, nearly 100K contracts opened, over $10M traded. That's a serious bet on a bounce. The strike is out of the money, at the level where the early-October drop started. That means the bounce target isn't very high. But if a real bounce starts, it could be enough to take SPY to 800. Of course, Monday's weak bounce wasn't just bulls. SOXX opened the Oct 30 expiry 360 pu

$BMNR 20261023 25.5 CALL$ 

Memory stocks are rebounding ahead of Micron Technology’s October 21 technology webinar. Micron gained 2.97%, SanDisk climbed 5.53%, and SK Hynix rose 4.67%. The market is watching for updates on DRAM, high-bandwidth memory (HBM), NAND and the growing memory requirements of AI infrastructure. But there is a bigger question worth asking: Can memory manufacturers turn strong AI demand into lasting pricing power? AI systems need more than powerful processors. They also require fast memory to feed data to those processors and storage to retain increasingly large amounts of information. That creates opportunities across the memory industry, but the companies operate in different markets and face different competitive pressures. 🔹 $Micron Technology(MU)$ 

Memory stocks are back in the spotlight ahead of Micron Technology’s October 21 technology webinar. Micron rose 2.97%, SanDisk gained 5.53%, and SK Hynix climbed 4.67%. The gains have renewed interest in a sector benefiting from the growing demand for AI infrastructure. But the important question is whether this rally has further room to run or whether investors are getting ahead of themselves. 🔹 1. $Micron Technology(MU)$ :The HBM Opportunity High-bandwidth memory (HBM) has become an important component of advanced AI accelerators. As AI models grow more complex, the demand for faster memory and greater bandwidth continues to increase. Micron’s upcoming webinar will cover DRAM, HBM, NAND and next-generation AI infrastructure requirements. Inve

AI chip stocks are rebounding ahead of Nvidia CEO Jensen Huang’s October 21 keynote at GTC Berlin. Nvidia gained 1.38%, Marvell rose 4.06%, AMD climbed 1.76%, and Broadcom advanced 1.78%. The market is watching for new signals about AI infrastructure, accelerated computing, AI agents and physical AI. But there is a bigger question behind the excitement: Can the next phase of AI investment deliver enough business value to justify the enormous spending? Rather than focusing only on Nvidia, it is worth examining how four chipmakers could benefit from different parts of the AI expansion. 🔹 1. $NVIDIA(NVDA)$ :Can AI Demand Keep Expanding? Nvidia remains at the centre of the AI accelerator market, benefiting from demand for GPUs, networking and its

Three companies. Three very different businesses. One question investors cannot ignore: When will massive investments in AI translate into sustainable returns? SpaceX, Meta and Tesla are heading into a crucial earnings period, with investors looking beyond headline revenue and earnings to assess their longer-term growth potential. SpaceX reports its third-quarter results on October 20, followed by Meta and Tesla on October 21. The timing creates an interesting comparison between a space and connectivity business, a digital advertising giant and an electric vehicle manufacturer. Here is what I will be watching. 🚀 1. $SpaceX(SPCX)$ :Can AI Spending Deliver? SpaceX has ambitions extending well beyond rocket launches. Its business includes Starli

Memory stocks finally bounced. MU rose 2.97%, SanDisk 5.53% and SK Hynix 4.67% ahead of Micron's 21 October technology webinar. But MU is already indicated around $883 pre-market, down roughly 2.4%. So Wednesday's webinar arrives at an important moment. The market is asking whether the recent memory selloff was an overreaction, or the beginning of a genuine repricing of the cycle. My answer: HBM still looks structurally strong. Conventional memory is where I would watch the risk. 🔵 WHAT WOULD ACTUALLY MOVE MU? Micron is expected to discuss its multigenerational roadmap across DRAM, HBM and NAND, plus customer co-design and the memory requirements of next-generation AI infrastructure. I would ignore generic statements about AI demand. I want three things. 1. HBM roadmap Anything reinforcing

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