To The Moon

The past two trading sessions have been painful for semiconductor investors. $闪迪(SNDK)$ $美光科技(MU)$ The Philadelphia Semiconductor Index has fallen more than 10% in just two days, with every single constituent ending in the red. Yet the broader market tells a completely different story. The S&P 500 has remained relatively stable, the Dow has pushed to fresh all-time highs, and the equal-weight S&P 500 has also continued making new highs. Same market. Two completely different stories. That tells us something important: this isn't broad market liquidation. It's sector rotation. Capital is moving into defensive sectors such as healthcare, consumer staples, and utilities. More than 350 stocks in the S&am

As SK hynix approaches its July 10 listing event, investors are increasingly asking the same question: Will additional shares entering the market create selling pressure across the memory sector? That concern is understandable. But I believe the market may be focusing on the wrong variable. The long-term direction of memory stocks has never been determined by a listing event alone. It has always been driven by the industry's earnings cycle. Over the past two years, artificial intelligence has fundamentally reshaped the memory market. HBM demand continues to outpace supply. DDR5 adoption is accelerating. Enterprise SSD demand continues to grow alongside AI infrastructure spending. Those structural trends remain far more important than a single capital markets event. Many investors instincti

The parallels between the 2008 financial crisis and the current artificial intelligence trajectory are becoming impossible to ignore. For the past few years, the tech sector has operated in an economic fantasy land, but the laws of gravity are reasserting themselves. We are witnessing the hallmark of every classic economic bubble: forced price discovery and a violent return to normal. The core issue? AI compute prices are completely collapsing. This collapse is hitting AI data center gross margins at the worst possible moment, threatening to trigger a domino effect across the entire tech ecosystem. The Myth of the Profitable AI Giant To understand why this price collapse is so lethal, we have to look at the underlying unit economics. Even at peak pricing, the industry's major players were

Replying to @OFFDAHOOK:Hi, thanks for reading my post and your questions.  Sorry for not being clear. IONQ, RGTI, QBTS are all companies providing quantum computer, the "hardware". HQ on the other hand is attempting to be the leading "software" for developers to build their apps on it and then deploy the executables (app) that will be hardware independent, meaning the app can be executed in the different types of hardware. The use of Microsoft Windows operating system is the example.  Windows OS can be run in Dell, Asus, Lenovo etc.. Hope this clarifies..//@OFFDAHOOK:So you mean HQ is at it’s developing beginning stage with more potential risks, like huge increasin

The number nobody is leading with: reserve interest is 99% of Circle's revenue. Not most of it. Not a lot of it. Ninety-nine percent. That single fact reframes every other sentence in this story. On June 30, Open Standard announced Open USD, or OUSD, backed by over 140 companies including Stripe, Visa, Mastercard, BlackRock, BNY, Coinbase, Google, Shopify, American Express, Standard Chartered, DBS, and Ripple. CRCL fell 17.55% on the day, extended losses into Wednesday, and is currently sitting around $65 to $66, down 39% from its IPO high and having just been dropped from five major Russell Growth indexes. The question is not whether OUSD will overtake USDC next year. It almost certainly will not. The question is whether a company that generates 99% of revenue from one mechanism, keeping

The question Tiger SG is asking, what did you miss in H1, is more uncomfortable than it looks. Because the answer for most investors is not a single stock. It is a structural misread of how the entire market was rotating underneath the headline numbers. The S&P 500 rose 9.5% in H1 2026, slightly behind its historical annual average of 12.8%. That sounds orderly. It was anything but. Beneath the index, the old winners became the laggards. The hyperscalers, Microsoft, Alphabet, Amazon, Meta, and Oracle, solidly underperformed the market. Microsoft was on track for its worst monthly loss since 2008, down 20% in June alone. Oracle fell 30%. Meanwhile, investors piled into memory chip companies whose products help power AI. Samsung, Micron, and SK Hynix are now the 10th-, 13th-, and 14th-mo

My biggest H1 missed opportunity was $SanDisk Corp.(SNDK)$ . I noticed it early when the AI storage theme gained momentum, but I thought the stock was already overhyped and decided to wait for a pullback instead of chasing it. The pullback never came. Instead, SNDK rallied another 300%. It reminded me that strong AI themes can stay stronger for longer than expected. Even so, I won't be buying SNDK in H2 after such a huge move. I'd rather look for the next opportunity than chase yesterday's winner. For H2, my top watchlist pick is $Corning(GLW)$ , with $ServiceNow(NOW)$ as my backup. I'm also watching software leaders like ServiceNow and

1. Broader Market: Divergence Is Emerging, but the Trend Has Not Broken QQQ: Consolidation Is Nearing Its End QQQ is still trading inside a 4-hour symmetrical triangle. Lower highs and higher lows show that the market is currently in a typical no-trend consolidation phase. This type of structure usually does not last too long. A directional breakout is likely approaching next week. For now, I still lean slightly bullish and believe an upside breakout is more likely. There are a few reasons behind this view. First, South Korean equities showed a clear recovery on Friday, with names like SK Hynix and Samsung rebounding. Nasdaq futures also strengthened, which helped improve sentiment around tech stocks. Second, QQQ still has an upside gap that has not been filled yet. Historically, gaps like

Next week, I believe the memory sector deserves serious attention. Several major catalysts are lining up at the same time: SK Hynix’s Nasdaq listing, continued DRAM price hikes, changes in long-term contract pricing, and a more supportive macro backdrop. Individually, each of these factors matters. Together, they could mark the beginning of a major re-rating for the memory sector. First, SK Hynix. SK Hynix is expected to list on Nasdaq on July 10, with an estimated issuance size of around $29 billion, making it one of the largest ADR offerings in history. The structure is expected to be 1 ADR representing 0.1 common share. This is not just about adding another tradable ticker. It means global capital will finally have a more direct way to price SK Hynix. For a leading memory player, this c

These AI stocks have rallied so hard that they are now hypersensitive to any whiff of weaker demand. The moment demand looks shaky, the selloff follows.Investors are trimming AI exposure, not abandoning the thesis. I don’t think this is 2000 all over again, yet. Once the deleveraging plays out, these stocks should stabilize. And frankly, after nine straight weeks of gains and multi bagger moves packed into a short stretch, a breather was overdue. It’s just that the breather can look like a sharp, ugly pullback, the kind most investors aren’t prepared for. The key reason I’m not sounding the alarm is that fundamentals still look solid and supply is still tight. But this is a spot worth watching. Hyperscalers have poured billions into building capacity. If we’re at the point where exces

$Food Empire(F03.SI)$   Food Empire - She is slowly recovering after it went ex.Bonus recently, looks rather interesting. Yearly dividend is about 8 cents. If including special dividend would be about 12 cents. Yield is about 3.3%. I think coffee demand is still strong. Their revenue likely increase! she may rise up to test 2.56. Pls dyodd. Food Empire - She is slowly climbing up from the low of 2.30 to close at 2.53, looks rather interesting. She may rise up to test 2.56. A nice breakout with ease we may see her rising up further towards 2.70, 2.80 than 3.00 to cover the Gapped. Pls dyodd. Food Empire- Tomorrow Bonus share crediting to your account, do take note. Nice. After XB a few days ago, price has corrected from 3.03 to 2.39. TERP sh

Hey everyone, Muthu boy is on leave today, so I’m taking over for him. The Nasdaq and semiconductor stocks really got hammered this week. I have to be honest — I’m hurting quite badly, especially on Fluence Energy. I never expected it to drop this much. Late at night, I quickly cut my GLW at 265 and rotated into PLTR, HOOD, Fig, Bitmine, and RKLB. My boss has been chasing me for my schedule, but I’ve been secretly checking SK Hynix’s share price every morning. Everyone’s panicking with the same thought: “If these big companies have so much excess computing power, they won’t need to spend on new AI infrastructure anymore. Then what happens to us hardware sellers?” That’s exactly why the entire semiconductor sector plunged these past two days. But let’s slow down and unpack this properly. Le

Quality shares are lagging behind the S&P 500 more significantly than they have at any point in the last two decades. The only other time we witnessed a divergence this severe was April 1999. We all know what came next. By December 2000, the quality factor was beating the broader market by 20.6%—a staggering 32-point swing in just 20 months. History is rhyming in real time. While speculative, AI-driven mega-cap tech and momentum plays have dominated the market, highly profitable, high-return-on-equity (ROE) companies with pristine balance sheets have been dismissed as relics. Nobody wants "boring" when momentum is soaring. But as the hyper-concentrated tech rally shows signs of exhaustion, institutional capital faces a mandate: the money has to go somewhere. When multi-billion-dollar f

The Hidden War Behind the AI Boom: Why Testing is the Real Boss Level Let me hit you with a mind-bending fact most people don’t know: Light, the fastest thing in the universe, gets slapped down inside an optical fiber — slowing from 300,000 km/s in vacuum to roughly 200,000 km/s. That slowdown is now at the center of the AI revolution. AI data centers are exploding with data. Electricity is hitting its physical limits — too slow, too hot, too power-hungry. The industry’s big bet? Replace electrons with photons. Shoot light directly inside chips for ultra-fast, efficient data movement. This is called silicon photonics — integrating lasers, waveguides, and optical components onto the same silicon that makes regular chips. Sounds like sci-fi magic, right? It’s not. Light brings a whole new un

The uncomfortable framing first: the 7.5% drop is not a market error. It is the correct read of a company that just delivered its best quarter ever and then reminded investors that 93% of its current market cap is priced on businesses that still lose money. Tesla delivered 480,126 vehicles in Q2 2026, crushing Wall Street consensus of 406,024 by nearly 18%. Up 25% year over year. Up 34% from Q1. Its strongest second quarter ever and its first year-over-year delivery growth after two consecutive years of declines. Energy storage deployments hit 13.5 GWh against an estimate of 13.3. European markets grew 108% year over year. The car business is recovering. The market does not care about the car business. That is the entire story. The Two-Company Problem Apply a traditional auto sector multip

What actually happened this week is three separate things colliding at once, and they need to be separated before you make any positioning decision. What Actually Caused the Drop The BiCS10 announcement had almost nothing to do with the selloff. The new 10th-generation 3D NAND chip launched on the same day the stock fell 14%. The market did not sell SanDisk because the product is bad. It sold because a stock up 858% year to date has no margin for error when sentiment shifts, regardless of what is on the press release. Three things hit simultaneously. The June jobs report printed 57,000, well below expectations, with prior months revised down 74,000 combined. Weak jobs data raises the question of whether AI capex cycles slow. That question, even when premature, is enough to trigger profit-t