To The Moon

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

Market Outlook of S&P500 (06Jul2026) Technical Analysis Overview MACD Indicator The Moving Average Convergence Divergence (MACD) indicator for the S&P 500 is on a downtrend, and a reversal can be in the works. Chaikin Money Flow The Chaikin Money Flow (CMF) stands at -0.04, indicating the market has more selling momentum than buying. Moving Averages Examining the moving averages, the most recent price action shows the last candlestick has been above the 50-day moving average (MA50) and the 200-day moving average (MA200). This pattern indicates a bullish shift in both the short and long term. Notably, both the MA50 and MA200 lines have begun to trend upwards, which indicates a bullish outlook in both the short and long term. Exponential Moving Averages The exponential moving average

Classic “buy the rumour, sell the news” playing out in real time. $SanDisk Corp.(SNDK)$ A new NAND node launch was never going to override positioning and macro-driven profit-taking after a massive run. What matters more is whether AI-driven storage demand actually keeps tightening supply over the next 2–3 quarters — that’s the real supercycle test, not a single product release. Right now this looks more like de-risking + rotation (especially after hot jobs data) than a thesis breakdown. But if DRAM/NAND pricing weakens alongside capex slowdowns, then the narrative gets stress-tested fast. Volatility like this is usually where the conviction gap shows up.

A major geopolitical defense catalyst may be emerging. According to a Finnish newspaper, Ukraine's armed forces are using $Nokia Oyj(NOK)$  Nokia's specialized tactical 5G technology to guide drones deep into enemy territory. Reports indicate Russian electronic warfare systems have struggled to jam the Nokia 5G network used by Ukrainian drone units. Even more interesting, several NATO countries—including the United States—are reportedly evaluating the technology for their own military applications. Sources familiar with defense and foreign policy discussions reportedly say that "deals are definitely coming." Adding to the momentum, NATO has invited Nokia to participate in the Ankara Summit Industrial Forum on July 7–8. If these reports tr

Investor sentiment was little changed last week, but the broader trend remains lower than a month ago. The sharpest move came from US investors, where sentiment fell from bullish to negative. Global Developed ex-US sentiment also declined, moving from bullish to neutral and confirming a wider downswing across developed markets. Across the ten markets we follow, sentiment now enters the summer months on the backfoot, with investors less confident, more reactive, and more exposed to emotion-driven swings. Elevated retail participation in leveraged ETFs and other directional instruments only amplifies that risk. The old saying that markets climb a wall of worry is simply the Stoic injunction to wear the world like a loose garment, translated into the language of finance. The lesson is to ackn

TMTPOST —The final exam at one of China's top universities began without exam papers, proctors or even questions for students to answer. Instead, 51 undergraduates sat in front of computer screens and tried to trick some of the world's most advanced artificial-intelligence models into making mistakes. Their assignment: design exam questions difficult enough to defeat Anthropic's Claude, China's DeepSeek and MiniMax. The better the AI performed, the worse the students' grades. The unusual experiment at Fudan University in Shanghai reflects a challenge confronting schools, employers and governments around the world as AI systems become increasingly capable: If machines can already outperform humans on many traditional academic tasks, what exactly should humans be learning—and how should they