To The Moon

Memory stocks have been one of the hottest parts of the AI trade, but Michael Burry is leaning the other way. Burry has continued to add to his bearish exposure on $Micron Technology(MU), even as DRAM pricing remains firm and AI-related demand stays strong. What makes the trade interesting is the timing: he is not shorting memory because the current fundamentals look weak. He appears to be betting that today’s strength eventually creates tomorrow’s oversupply. That is the core debate in memory right now. The bullish case is straightforward. AI servers need more HBM, more server DRAM and more enterprise SSD capacity. Hyperscalers are still expanding infrastructure, memory content per server keeps rising, and supply remains tight in several key categories. In that environment, strong pricing

As the tech-heavy $NASDAQ(.IXIC)$ Nasdaq Composite breaches new record highs, a critical structural divergence has emerged under the market surface. While major capitalization benchmarks suggest robust equity health, participation metrics reveal a strikingly narrow advance: fewer than half of Nasdaq constituents trade above their 200-day moving average. In this article, we would like to go through these points on why Nasdaq breaches new record highs yet fewer than half of Nasdaq constituents trade above their 200-day moving average. Market Anatomy — Breakdown of index concentration, market breadth metrics (only ~48% of stocks above 200-day SMA), and structural divergence. Sectors, Stock Focus & AI Narrative — In-depth analysis of three convic

pls be B. wait wait wait till i revalue my loan in sept 2027. if it goes up. maybe is time to clear the loan. let me talk to my partner nearer the date.

Apple’s latest Mac update is about more than faster hardware. The new Mac mini and Mac Studio are being positioned as machines that can run AI agents, large language models and enterprise workflows locally. The high-end Mac Studio can support up to 512GB of unified memory, while multiple Macs can be linked together for distributed inference. Apple has even demonstrated four Mac Studios running a trillion-parameter model using a standard wall outlet. The more interesting part is how Apple is selling the economics. Cloud AI usually charges by usage. The more tokens a company consumes, the more it pays. Apple’s pitch is different: buy the hardware once, then keep running workloads locally without paying for every model call. That matters when AI usage becomes frequent. If an enterprise agent

The indices: three of them, three directions On Tuesday the $NASDAQ(.IXIC)$ Composite closed 0.45 per cent higher at 27,244.28, up 122.18 points on the day and a second straight close at a record; the $Dow Jones(.DJI)$ closed 0.36 per cent lower at 51,863.69, down 185.14 points, with $Cisco(CSCO)$, $JPMorgan Chase(JPM)$ and American Express leading the fallers at 4.50 per cent, 3.35 per cent and 2.62 per cent lower respectively; and the S&P 500 finished at 7,764.64, just 0.06 points below the 7,764.70 it closed at the previous session. That list of Dow f

Nasdaq at a record. How many stocks are actually driving it? A breadth check through my sell-put lens Written Wednesday morning SGT, using Tuesday's US close. The headline On Monday, the Nasdaq Composite gained 2.26% for a record close of 27,122.09, its first since June. It did it again on Tuesday: the tech-heavy index gained 0.45% to 27,244.28, while the S&P 500 closed relatively flat at 7,764.64. The Nasdaq-100 crossed the 30,000 level on September 21. That's what the index did. The stocks inside it tell a different story. The breadth data On Monday, the S&P 500 had seven new 52-week highs and 24 new lows. On the Nasdaq, there were 64 new 52-week highs and 127 new lows. Put simply, the index jumped while about twice as many Nasdaq stocks hit fresh 52-week lows as highs. It goes d

US stocks to watch for 23 September 2026:  The market backdrop is constructive, but leadership is still concentrated in AI and semiconductors, so the most important names to watch are the mega-cap growth leaders, the chip complex, and a few event-driven stocks tied to earnings and rates.  US equities enter 23 September with a risk-on tone after the Nasdaq hit a record high, helped by renewed AI enthusiasm and a broad rebound in technology. The strongest setup remains in large-cap tech and semiconductors, while the main risk is that higher Treasury yields or any cooling in Fed-sensitive sentiment could pressure valuations. In practice, this means investors should watch whether leadership broadens beyond a few names or stays tightly concentrated.  Stocks to watch Nvidia (NVDA)

I trust the Nasdaq trend, but with caution. The AI and semiconductor trade clearly still has momentum, but a record index alongside a falling Dow and weak market breadth suggests the rally is becoming increasingly concentrated. I would be more confident if the next move brings broader participation from financials, industrials and other sectors. For now, I would stay with the AI trend but avoid chasing it aggressively.

Nasdaq-100 Index The tech-heavy $NASDAQ 100(NDX)$ reached a new record high on Tuesday (22 September), as lower oil prices and optimism surrounding AI developments supported gains in technology stocks. The Nasdaq-100 has rallied around +6% in the past 5 trading days since the Fed announced its interest rate decision last week, lifting the Nasdaq 7x Long DLC (MFVW) by around +48%, while the Nasdaq 7x Short DLC (W5BW) declined by around -37% in the same period. Sandisk and Micron Among DLC-covered underlyings, chip stocks $SanDisk Corp.(SNDK)$ and $Micron Technology(MU)$ were the top performers with gains of around +24% and +18% respectively in the last 5 trading days

B I will wait. Look for my preferred stock and wait for it to come down. Patience will pay off.

The wheel is turning but the size is not changing.... 

📈 High-beta stocks are staging a big rally now. These are volatile stocks that are much more sensitive to market movements than the market itself. $Coinbase Global, Inc.(COIN)$ and $Strategy(MSTR)$ are rising primarily because Bitcoin is rebounding. It would more interesting if this recovery spread from crypto into AI, semiconductors, smaller companies and other growth-sensitive areas. Follow the momentum and seize the opportunity to invest in AI chips, crypto-related stocks and other high growth companies. Thank you @TigerEvents @TigerStars @Tiger_comments @Tiger_SG

🩷Good

US stocks surged today as a wave of positive news hit simultaneously, causing several major risk concerns that had previously weighed on the market to subside: 1) Signs of de-escalation in the Middle East. Supply concerns regarding the Strait of Hormuz eased and signs of shipping recovery emerged; the market began pricing in a reduction of the Middle East risk premium. 2) A window for renewed US-Iran negotiations. Trump expressed willingness to meet the Iranian president during the UN General Assembly; the market began betting on a diplomatic path reopening, significantly cooling expectations of further escalation in the Middle East crisis. 3) A sharp drop in oil prices. Brent crude briefly fell below $100 intraday, while WTI dropped to around $96. Lower oil prices offered a temporary repr

The $NASDAQ(.IXIC)$ Composite closed 2.3 per cent higher on Monday at a record, its first since June; the $S&P 500(.SPX)$ closed 1.49 per cent higher at 7,764.70, which leaves it 0.4 per cent short of its own record; the $Dow Jones(.DJI)$ closed 0.7 per cent higher. What brought risk appetite back was falling oil prices and lower Treasury yields, and no company put out an announcement that day big enough to move the whole market. The $Philadelphia Semiconductor Index(SOX)$ rose 4.3 per cent, a fifth straight session of gains. The distance that opened up

SanDisk had an interesting two-day reversal. First came the +10.99% surge as its S&P 100 inclusion took effect. Then the index rebalance was done — and $SNDK fell 1.41%. At first glance, that looks like a simple giveback. But there’s a more interesting signal hiding underneath. While SanDisk pulled back: 📈 $MU +2.77% 📈 $SK Hynix +0.73% That tells us something important about the current memory trade. The sector didn’t need SanDisk to keep moving. Once the forced index buying disappeared, investors were left with the actual fundamentals: memory pricing, supply, capacity and demand. And that creates a useful test for the next few weeks. If memory fundamentals remain strong, weakness caused by the end of index flows could simply separate technical momentum from the underlying sector trend

Everyone is talking about the Nasdaq hitting another record. But the more interesting story may be happening underneath the index. The chip rally has now lasted five sessions, yet the leadership is rotating quickly. $ARM surged 17.16%. $INTC jumped 12.14%. $AMD gained 9.95%. Meanwhile, the biggest names moved much less: $NVDA +2.30% $AVGO +1.60% That doesn’t necessarily mean investors are moving away from Nvidia. It could mean something more subtle: The market is starting to price AI as an entire computing cycle rather than a single GPU story. If AI agents become more widely used, the workload doesn’t end with training a model. It creates demand for: 🧠 CPUs ⚡ Accelerators 🌐 Networking 💾 Memory 🏗️ Data centres 🔌 Power and cooling And that’s where the investment story gets interesting. The f

The Nasdaq just closed at a record, and semiconductor stocks extended their winning streak to five straight sessions. But the interesting part isn’t the rally. It’s who is leading it. Look at the one-day moves: 🚀 $ARM +17.16% 🚀 $INTC +12.14% 🚀 $AMD +9.95% 📈 $NVDA +2.30% 📈 $AVGO +1.60% Nvidia is still moving higher, but it is no longer dominating the tape. That raises a bigger question: Are investors starting to broaden their AI bets? One possible clue is Meta’s Muse AI assistant. If AI agents increasingly require large amounts of inference and general-purpose computing, the opportunity may extend beyond the traditional GPU story. That could put more attention on CPUs, networking, memory and the infrastructure surrounding AI workloads. Then there’s the macro backdrop. Oil and Treasury yield

AI may be moving from “answering questions” to actually doing work — and that could make CPUs important again. The latest AI trade is no longer just about GPUs. Meta’s new AI agent, Muse, has pushed investors to rethink what the next phase of AI infrastructure may actually require. Why?Because an AI agent does much more than generate an answer. It may need to:open a browser,search the web,fill out forms,call APIs,run tools,manage files,and keep working in the background for minutes or even hours. That changes the compute equation. For a chatbot, the workflow is relatively simple: Prompt → GPU inference → Response For an AI agent, it looks more like: Think → Browse → Execute → Check → Think Again → Continue GPUs still handle the heavy model inference. But many of the surrounding workloads —

Friday’s triple-witching session produced a deceptively quiet headline. $QQQ +0.63% $SPY roughly flat Nothing too exciting, right? Look underneath. 🚀 Philadelphia Semiconductor Index ~+3% 📉 $META -2.43% 📉 $ORCL -1.98% 📉 $AAPL -0.26% That’s a very different market from what the index suggests. Triple witching — when index futures, index options and single-stock options expire together — can create unusual trading flows and amplify moves in individual names. So I’m less interested in asking: “Did the market go up or down?” And more interested in: “Where did the money actually move?” Semiconductors were clearly stronger than several mega-cap tech names, while the major indexes barely changed. That could simply be expiry-day positioning. But if the same rotation continues after the options-rel

As the tech-heavy $NASDAQ(.IXIC)$ Nasdaq Composite breaches new record highs, a critical structural divergence has emerged under the market surface. While major capitalization benchmarks suggest robust equity health, participation metrics reveal a strikingly narrow advance: fewer than half of Nasdaq constituents trade above their 200-day moving average. In this article, we would like to go through these points on why Nasdaq breaches new record highs yet fewer than half of Nasdaq constituents trade above their 200-day moving average. Market Anatomy — Breakdown of index concentration, market breadth metrics (only ~48% of stocks above 200-day SMA), and structural divergence. Sectors, Stock Focus & AI Narrative — In-depth analysis of three convic

Memory stocks have been one of the hottest parts of the AI trade, but Michael Burry is leaning the other way. Burry has continued to add to his bearish exposure on $Micron Technology(MU), even as DRAM pricing remains firm and AI-related demand stays strong. What makes the trade interesting is the timing: he is not shorting memory because the current fundamentals look weak. He appears to be betting that today’s strength eventually creates tomorrow’s oversupply. That is the core debate in memory right now. The bullish case is straightforward. AI servers need more HBM, more server DRAM and more enterprise SSD capacity. Hyperscalers are still expanding infrastructure, memory content per server keeps rising, and supply remains tight in several key categories. In that environment, strong pricing

Nasdaq at a record. How many stocks are actually driving it? A breadth check through my sell-put lens Written Wednesday morning SGT, using Tuesday's US close. The headline On Monday, the Nasdaq Composite gained 2.26% for a record close of 27,122.09, its first since June. It did it again on Tuesday: the tech-heavy index gained 0.45% to 27,244.28, while the S&P 500 closed relatively flat at 7,764.64. The Nasdaq-100 crossed the 30,000 level on September 21. That's what the index did. The stocks inside it tell a different story. The breadth data On Monday, the S&P 500 had seven new 52-week highs and 24 new lows. On the Nasdaq, there were 64 new 52-week highs and 127 new lows. Put simply, the index jumped while about twice as many Nasdaq stocks hit fresh 52-week lows as highs. It goes d

Apple’s latest Mac update is about more than faster hardware. The new Mac mini and Mac Studio are being positioned as machines that can run AI agents, large language models and enterprise workflows locally. The high-end Mac Studio can support up to 512GB of unified memory, while multiple Macs can be linked together for distributed inference. Apple has even demonstrated four Mac Studios running a trillion-parameter model using a standard wall outlet. The more interesting part is how Apple is selling the economics. Cloud AI usually charges by usage. The more tokens a company consumes, the more it pays. Apple’s pitch is different: buy the hardware once, then keep running workloads locally without paying for every model call. That matters when AI usage becomes frequent. If an enterprise agent

The indices: three of them, three directions On Tuesday the $NASDAQ(.IXIC)$ Composite closed 0.45 per cent higher at 27,244.28, up 122.18 points on the day and a second straight close at a record; the $Dow Jones(.DJI)$ closed 0.36 per cent lower at 51,863.69, down 185.14 points, with $Cisco(CSCO)$, $JPMorgan Chase(JPM)$ and American Express leading the fallers at 4.50 per cent, 3.35 per cent and 2.62 per cent lower respectively; and the S&P 500 finished at 7,764.64, just 0.06 points below the 7,764.70 it closed at the previous session. That list of Dow f

US stocks to watch for 23 September 2026:  The market backdrop is constructive, but leadership is still concentrated in AI and semiconductors, so the most important names to watch are the mega-cap growth leaders, the chip complex, and a few event-driven stocks tied to earnings and rates.  US equities enter 23 September with a risk-on tone after the Nasdaq hit a record high, helped by renewed AI enthusiasm and a broad rebound in technology. The strongest setup remains in large-cap tech and semiconductors, while the main risk is that higher Treasury yields or any cooling in Fed-sensitive sentiment could pressure valuations. In practice, this means investors should watch whether leadership broadens beyond a few names or stays tightly concentrated.  Stocks to watch Nvidia (NVDA)

pls be B. wait wait wait till i revalue my loan in sept 2027. if it goes up. maybe is time to clear the loan. let me talk to my partner nearer the date.

The $NASDAQ(.IXIC)$ Composite closed 2.3 per cent higher on Monday at a record, its first since June; the $S&P 500(.SPX)$ closed 1.49 per cent higher at 7,764.70, which leaves it 0.4 per cent short of its own record; the $Dow Jones(.DJI)$ closed 0.7 per cent higher. What brought risk appetite back was falling oil prices and lower Treasury yields, and no company put out an announcement that day big enough to move the whole market. The $Philadelphia Semiconductor Index(SOX)$ rose 4.3 per cent, a fifth straight session of gains. The distance that opened up

AI may be moving from “answering questions” to actually doing work — and that could make CPUs important again. The latest AI trade is no longer just about GPUs. Meta’s new AI agent, Muse, has pushed investors to rethink what the next phase of AI infrastructure may actually require. Why?Because an AI agent does much more than generate an answer. It may need to:open a browser,search the web,fill out forms,call APIs,run tools,manage files,and keep working in the background for minutes or even hours. That changes the compute equation. For a chatbot, the workflow is relatively simple: Prompt → GPU inference → Response For an AI agent, it looks more like: Think → Browse → Execute → Check → Think Again → Continue GPUs still handle the heavy model inference. But many of the surrounding workloads —

Indexes appear to close flat but where were the gains? We are still seeing a nice recovery on Monday (21 Sep), are investors missing something? In this article, we would like to share an in-depth analysis (that we put up) of index concentration, rally sustainability, protective portfolio positioning, and allocation logic for Gold and U.S. Treasuries. 1. Decoupling the Indices: Where Were the Real Gains? At first glance, flat headline performance in benchmark equity indices suggests a stagnant market environment. However, beneath the surface of cap-weighted benchmarks, substantial cross-currents are at play. Equity market structures have become increasingly top-heavy, dominated by a concentrated group of high capitalization technology firms. When these heavyweight constituents undergo modes

Nasdaq-100 Index The tech-heavy $NASDAQ 100(NDX)$ reached a new record high on Tuesday (22 September), as lower oil prices and optimism surrounding AI developments supported gains in technology stocks. The Nasdaq-100 has rallied around +6% in the past 5 trading days since the Fed announced its interest rate decision last week, lifting the Nasdaq 7x Long DLC (MFVW) by around +48%, while the Nasdaq 7x Short DLC (W5BW) declined by around -37% in the same period. Sandisk and Micron Among DLC-covered underlyings, chip stocks $SanDisk Corp.(SNDK)$ and $Micron Technology(MU)$ were the top performers with gains of around +24% and +18% respectively in the last 5 trading days

US stocks surged today as a wave of positive news hit simultaneously, causing several major risk concerns that had previously weighed on the market to subside: 1) Signs of de-escalation in the Middle East. Supply concerns regarding the Strait of Hormuz eased and signs of shipping recovery emerged; the market began pricing in a reduction of the Middle East risk premium. 2) A window for renewed US-Iran negotiations. Trump expressed willingness to meet the Iranian president during the UN General Assembly; the market began betting on a diplomatic path reopening, significantly cooling expectations of further escalation in the Middle East crisis. 3) A sharp drop in oil prices. Brent crude briefly fell below $100 intraday, while WTI dropped to around $96. Lower oil prices offered a temporary repr

I trust the Nasdaq trend, but with caution. The AI and semiconductor trade clearly still has momentum, but a record index alongside a falling Dow and weak market breadth suggests the rally is becoming increasingly concentrated. I would be more confident if the next move brings broader participation from financials, industrials and other sectors. For now, I would stay with the AI trend but avoid chasing it aggressively.

With the Federal Reserve’s September rate hike now underway, there is no turning back once the arrow has left the bow. The tightening cycle is unlikely to end in the near term; it may not reverse until a major economic event emerges—such as a recession or a substantial equity-market decline. Accordingly, trading during this period should become more cautious. Should the pace of tightening accelerate, market volatility is likely to increase as well. Over the weekend, I held an in-person discussion with Tiger users in Hong Kong. Based on my U.S. dollar cycle model, this round of Fed tightening is a landmark event signaling that the dollar cycle has entered a new phase. Given widening interest-rate differentials, we may subsequently face an environment of accelerated U.S. dollar appreciation.

🇸🇬 My Singapore Portfolio: Simple, Boring… and Designed for Cash Flow When I started looking at my Singapore portfolio, I realised that I did not need to own dozens of stocks. Sometimes, a simple portfolio of companies that I understand can be much easier to manage. My Singapore holdings currently include Keppel, Keppel REIT and OCBC Bank. From my screenshot, my total Singapore market value is around S$4,273, while the portfolio is showing an overall unrealised gain of about S$1,641. That is the important lesson for me: I am not only looking for stocks that can go up quickly. I also want companies that can potentially provide cash flow, dividends and long-term capital growth. 🐶 This is my “cash-boost” mindset. Instead of asking only: “How much can this stock go up?” I also ask: “Can this i

The three US indices closed Friday almost where they started. The $Dow Jones(.DJI)$ fell 0.18 per cent to 51,682.64, down 95.40 points on the day; the $S&P 500(.SPX)$ closed 0.17 per cent higher at 7,650.50, up 12.74 points; and the $NASDAQ(.IXIC)$ Composite closed 0.39 per cent higher at 26,522.54. It was a triple-witching day, with stock options, index futures and index options all expiring together and an index rebalancing on top, so volume was always going to be heavy. The calm at index level says very little; what was actually happening was money moving between sectors. The split between the indices is par

The market is currently pricing in a 25-basis-point initial rate hike with a high degree of confidence, and this expectation has already been largely reflected in equity prices. The main drivers are inflationary pressure from higher energy prices and Waller’s relatively hawkish remarks. $美国原油ETF(USO)$ $WTI原油主连 2611(CLmain)$ $微型WTI原油主连 2611(MCLmain)$ This would mark the first rate hike in years, against the backdrop of energy-driven inflation stemming from the Middle East conflict.$布油现金主连 2612(BZmain)$

Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions.‌ $Meta Platforms, Inc.(META)$ $Corning(GLW)$ $OpenAI Lab Ecosystem ETF(OAIW)$ $Anthropic AI Lab Ecosystem ETF(ANTW)$ Good news for bulls, stocks rebounded nicely after navigating the choppy waters last week d/t Fed rate announcement. Mag 7 turning green, carried by good news from META for releasing their new AI bot. Despite the optimism, a lot of uncertainty are still playing in the background. Unresolved Iran/US conflict, increased tension in the middle east, escalating war bet

The S&P 500 barely moved on Friday, gaining just 0.17%, but some of the market's most volatile stocks staged a much bigger rally. Coinbase jumped nearly 12%, Strategy surged over 16%, and Robinhood climbed more than 9% as Bitcoin rebounded. Semiconductor stocks also extended their recovery, with AMD and Applied Materials moving higher. $Coinbase Global, Inc.(COIN)$ $Strategy(MSTR)$ $Robinhood(HOOD)$ $Advanced Micro Devices(AMD)$ $Applied Materials(AMAT)$ $NVIDIA(NVDA)$ $Tesla Motors(TSLA)$ <

3.2T and 6.4T solutions are showing up at ECOC 2026. The next AI bottleneck may be shifting from raw compute to connectivity. As AI clusters scale from thousands to hundreds of thousands of GPUs, one problem is becoming increasingly important: How do you move massive amounts of data between those GPUs fast enough — and without burning too much power? That is exactly why optical interconnects are becoming a bigger part of the AI infrastructure story. At ECOC 2026, Coherent showcased a 3.2T OSFP optical module as well as a 6.4T NPO optical engine designed for next-generation AI scale-up and scale-out networks. The direction is becoming clear: 800G → 1.6T → 3.2T And the upgrade is not just about higher headline speeds. The bigger shift is that optics are moving closer to the chip. As GPU dens