To The Moon

A few tips on the market crash: $S&P 500(.SPX)$ -> Don't try and time the bottom. You're just catching a falling knife and that won't end up well. It's all about just GRADUALLY lowering your average cost. Sounds simple but you'd be surprised what a human in panic mode tries to do when the market falls this much. -> Fundamentals haven't changed as much as investors and/or the market believes it to have done. What ACTUALLY changed since Monday? An AI "slowdown"? And AI "ban"? This will not happen. The race against China is far more important. And even if a 10-20% slowdown does happen, that's probably a good thing for the longevity of the AI trade. The other way to look at it is to find those companies where a 10-20% slowdow

Hello everyone! Today i want to share some technical analysis with you! 1 2026 lows aVWAP? GONE. 🩸 Next stop... $Invesco QQQ(QQQ)$ 2 FULL. ROUND. TRIP. 🤯 $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ 3 CLOUDFLARE $Cloudflare, Inc.(NET)$ EARNINGS GOD CANDLE 🟢 Q3 Adj EPS: $0.38 vs $0.34 est ✅ Q3 Sales: $782.5M vs $738.5M est ✅ 🟩 +18% in after-hours 4 $Atlassian Corporation PLC(TEAM)$ EARNINGS DUMP 🩸🩸 Q1 Adj EPS: $1.65 vs $1.44 est ✅ Q1 Sales: $1.77B vs $1.71B est ✅ 🟥 -15% in after-hours 5 $DraftKings

📊 Market Recap As of the November 6, 2026 US Eastern session, 'AAPL' closed at $344.17, down -1.53% ($-5.34). The stock briefly touched a new 52-week high of $355.38 intraday before retreating, and now sits roughly 3.2% below that peak. Pre-market had indicated $354.21, but sellers absorbed the early strength and pushed price back toward the $342.06 session low. The tape is reflecting a classic failed breakout: a record high was printed without follow-through, leaving the daily range wide at 3.81% amplitude. Volume expanded to 70.46 million shares with a volume ratio of 1.07, confirming that both institutional distribution and dip-buying were active. Traders are now questioning whether the breakout can be reclaimed or if a deeper digestion phase is developing. 🚀 Key Drivers Debt Issuance:

📊 Market Recap As of the latest U.S. session, 'SOXX' closed at $130.93, down -12.79% with amplitude of 8.65%. The ETF is now down roughly 40% from its 52-week high of $218.65 and sits only about 50% above its 52-week low of $86.81. The collapse below the prior support zone near $134.41 signals severe distribution and risk-off sentiment across the semiconductor complex. 🚀 Key Drivers Tech-wide risk-off: Global equity sentiment deteriorated sharply, with semiconductor and high-beta growth assets leading the decline as investors rotated into defensive positioning. Capital outflow intensifies: Five-day capital flow data shows persistent net selling pressure before a short-lived bounce, with total outflow on the latest session reaching approximately $36.19 billion versus $35.63 billion in inflo

📊 Market Recap As of November 6, 2026, 'AAOI' closed at $46.89, down a sharp -20.89% from the prior close of $59.27. The stock opened at $56.74 but collapsed to an intraday low of $45.88, with amplitude reaching 18.58%. The closing price now sits more than 79% below the 52-week high of $233.67, reflecting severe selling pressure as the AI-driven optical rally unwinds. 🚀 Key Drivers Valuation Reset Shock: A negative TTM P/E of -59.54 and forward PE of 82.09 triggered aggressive de-rating as growth expectations reset. Capital Flight: 5-day capital flow shows net outflows totaling -2,951.64 (in 10k units), with large orders selling 63.04 million vs buying 42.71 million on the crash day. Short Pressure Intensifies: Short volume ratio hovered between 15% - 22% in late October, indicating sustai

📊 Market Recap As of November 6, 2026, 'PLTR' closed at $154.99, plunging -9.73% from the prior close of $171.70. The stock has now pulled back roughly 27% from its 52-week high of $212.94, signaling intense selling pressure after a prolonged momentum run. Intraday volatility was severe, with the session ranging between $152.60 and $167.25, an amplitude of 8.53%. 🚀 Key Drivers Macro Risk-Off: High-valuation AI and software names are facing aggressive de-rating as capital rotates away from growth stocks toward defensive sectors. Valuation Compression: With a TTM P/E above 109 and a Forward P/S near 51, 'PLTR' remains highly sensitive to any slowdown in government or commercial contract momentum. Short Pressure: Short volume ratio surged to 13.46% on November 3, indicating increased bearish

The latest US market rally has created an interesting contradiction. The Dow Jones surged more than 1,500 points, gaining approximately 3%, while the S&P 500 and Nasdaq also finished strongly higher. Yet underneath the headline numbers, technology stocks were moving in very different directions. Microsoft, Amazon and Apple attracted strong buying interest, while Nvidia, Tesla and several AI infrastructure-related companies faced selling pressure. Semiconductor and memory stocks, including SanDisk and Micron, were particularly weak. This is more than an ordinary market rotation. It suggests investors are beginning to distinguish between companies that can monetise the AI boom and companies that need continued massive capital investment to sustain their growth. I think understanding this

With US technology stocks showing a growing divide, $Qualcomm(QCOM)$  is one company I would keep on the watchlist today. The latest market rally has favoured mega-cap technology companies such as Microsoft, Amazon and Apple, while semiconductor and memory stocks have struggled. Nvidia, Micron and SanDisk have faced selling pressure as investors reassess AI infrastructure spending and valuations. But I think Qualcomm deserves attention for a different reason. 1. AI Is Not Just About Data Centres Much of the AI investment discussion has focused on Nvidia’s GPUs and the enormous spending by cloud providers. However, AI applications also need to run on smartphones, laptops, connected devices and other edge-computing platforms. Qualcomm has

The AI investment boom has a new challenge, and this time it is not about chip shortages, competition or expensive valuations. It is about electricity, water, permits and where data centres can actually be built. Texas has become one of the most important locations for America’s AI infrastructure expansion. However, the election of Democrat Gina Hinojosa as Texas governor has introduced fresh uncertainty for the industry. Hinojosa has promised a moratorium on new data-centre approvals until stronger protections are established. Her concerns include electricity costs, water consumption, environmental impacts and giving local communities more control over development. According to Reuters, Texas represents approximately 25% of planned US data-centre capacity. That is a significant pipeline o

① What Happened Today AI money rotation is getting stronger. Semis are under pressure, and cloud and software stocks are splitting. AI infrastructure risk is rising: Some US states are raising restrictions on data center construction. The market is starting to worry about project delays, slower capex, and even an impact on 2028 semiconductor profit expectations. IREN and NBIS project progress is being questioned, but this can't yet be treated as companies confirming order cancellations. Money is moving toward cash flow: The market is starting to prefer large cloud companies with diversified businesses and steadier profits, while semis and the data center supply chain stay under pressure. This doesn't mean AI demand is gone — it means the market is rethinking who can actually make money. Ea

Anyone who held $Navitas Semiconductor Corp(NVTS)$ through that brutal October bleed from $12 down to $7.91 finally got some validation over the last two days. The stock jumped nearly 8% on Tuesday into the close ($8.56), beat Q3 numbers Tuesday night, and popped as high as $9.55 on Wednesday morning before settling around $8.93 (+4.3% today) on big volume. For the last year, the bear case on Navitas was that they were stuck selling low-margin GaN chips for cheap phone chargers. Look at what CEO Chris Allexandre just laid out on the Q3 call: Bye-bye phone chargers, hello AI data centers: By the end of Q4, low-end mobile/consumer revenue will be basically 0% of their business, while AI Data Centers and Grid Infrastructure will pass 40% of total sal