To The Moon

Mathematical Money | June 6, 2026 Closed two MSFT long-dated calls this week. The first one was a January 2027 $480 call. I bought it on May 11 at $19.88. I closed it on June 2 at $43.64. The contract more than doubled in just under four weeks. About $4,750 in realized profit. The second was a June 2027 $360 call. I'd been holding that one since April. Bought at $79.06, closed at $115.45. Up about 46% over seven weeks. Another $3,640 realized. Total realized profit on the MSFT LEAPS book this week: roughly $8,400. Now let me show you the more important part — what happened next. The Rule That Triggered Them This is the same rule I wrote about in mid-May when I harvested half of the SPY LEAPS book. When a long-dated long position more than doubles, you take some of it off the table. The rea

I’m bullish on $SpaceX(SPCX)$ because I see it as much more than a rocket company. Starlink, satellite internet, launch services, and the broader space economy give it multiple long-term growth drivers that few companies can match. At the same time, the risks are real. SpaceX is still reporting GAAP losses, and a $1.75 trillion valuation already reflects very high expectations. The lack of immediate S&P 500 $S&P 500(.SPX)$ inclusion could also reduce near-term buying pressure from passive funds. My view is that if Starlink keeps growing and SpaceX maintains its technological lead, the company could become a k

Just three days ago, the S&P 500 was celebrating fresh all-time highs as AI stocks went into overdrive. Investors were acting as if nothing could stop the rally. Then came Fri  The S&P 500 suffered its biggest one-day decline since October 2025, despite one of the strongest U.S. jobs reports in the last 18 months. On the surface, it makes no sense. Strong economy. Strong hiring. Strong consumer spending. Shouldn't stocks be soaring? Even President Donald Trump questioned the reaction, saying stocks should be going up, not down. But here's what the market is really telling us. The market no longer wants a strong economy. It wants lower interest rates. For months, investors convinced themselves that slowing employment would force the Federal Reserve to cut rates aggressively. Wh

I hope you can see that technical analysis is helpful, especially for timing entries on stocks that are bottoming. Here’s the dilemma every value investor faces: a software stock might be undervalued at $100. Do you buy at $50? At $20? Both are undervalued. But if the stock continues falling to $10, even buying at $20 yields a 50% loss and feels expensive in hindsight. Stage Analysis helps you avoid this trap by waiting for price confirmation before committing. Some will argue that by the time Stage 2 begins, the price is already much higher. True. But the trade-off is that you’re buying with more certainty and not catching a falling knife without knowing where the bottom is. The cost of not waiting can be far greater losses. That said, don’t rely on technical analysis alone unless you hav

Eh boss, morning morning! Come come, sit down lah, one kosong prata and kopi-O coming! While I fry your prata, let me tell you one helluva story about this company,$Amphenol(APH)$  !  AI whole supply chain now like big big war! Nvidia selling the big big guns, Microsoft and Meta building the factories. But this Amphenol guy? He is the one supplying the bullets, the wires, the connectors — everything to connect the whole army together! No connection, your super powerful GPU also become expensive metal brick only. Useless lah! This Amphenol, from PC time, handphone time, until now AI time, every wave they are there. Not the superstar, but always the one who collect money properly. Steady pom pi pi. Boss, they sell three things mainly: Conne

For me, this looks more like a sentiment and positioning shock than a fundamental change to Bitcoin's long-term thesis. If the report about Michael Saylor's selling is accurate, the bigger issue is credibility. Markets can forgive selling, but they dislike broken narratives. That said, a 16% weekly drop is not unusual by Bitcoin standards. The AI-long/BTC-short pair trade is interesting. If AI stocks continue correcting, some funds may unwind both legs, which could actually help Bitcoin. Correlations often behave differently once crowded trades start reversing. My approach would be simple: Long-term believer: accumulate gradually on weakness rather than trying to catch the exact bottom. Short-term trader: respect the downtrend until momentum stabilises. Leveraged holder: consider reducing

A $1.3 trillion wipeout is dramatic, but it does not automatically mean the AI investment thesis is broken. To me, this looks like a valuation reset rather than a fundamental collapse. The key issue is that semiconductor stocks had become one of the most crowded trades in the market. When strong payroll data pushes rate-cut expectations further out, high-multiple growth stocks are usually the first to be repriced. As for the SpaceX IPO, it could temporarily divert capital and attention, especially from speculative AI and space-related names. However, liquidity shifts tend to be short-term, while earnings and cash flow ultimately drive long-term returns. My framework: • If you are overexposed to AI and semis, trimming risk is reasonable. • If you missed the rally and have a multi-year horiz

If I had to choose between chasing the IPO narrative and shorting the sector, I'd do neither aggressively. The risk with "SpaceX sympathy trades" is that investors often assume capital will flow into the entire space sector. In reality, a blockbuster IPO can attract money away from smaller names as investors rotate into the perceived winner. Between RKLB and ASTS, I find RKLB easier to justify fundamentally. RKLB already has launch revenue, a growing space systems business, and a clearer path to scaling. ASTS is exciting, but ASTS remains heavily dependent on execution, regulatory milestones, and future network deployment. As for the bearish case, Steve Eisman's valuation concerns are understandable. Space stocks have benefited from narrative expansion, and when sentiment turns, high-durat

The Retailer That Thinks It’s Software The most interesting battle on Wall Street today is not being fought over artificial intelligence, semiconductors, or cloud infrastructure. It is being fought over dog food. Chewy has become the centre of a surprisingly fierce ideological divide. One camp sees a mature online pet retailer trapped in a slowing consumer environment. The other sees a company that has quietly completed a multi-year transformation into a highly automated, subscription-driven platform whose economics are only now becoming visible. What fascinates me is that both sides are looking at the same company and arriving at completely different conclusions. The market narrative remains stubbornly anchored to customer growth. Yet I believe the more important story is unfolding beneat

🌟🌟🌟 $Ciena(CIEN)$ sharp drop is a classic case of Buy the rumour, sell the news.  Looking past the short term volatility, Ciena's actual underlying performance is extremely strong, making this huge drop in share price an excellent entry point for long term investors. Google and Microsoft are Ciena's 2 major customers accounting for 34% of Total quarterly sales. Ciena is a great stock to buy and hold long term because its underlying  business  is incredibly strong as the world cannot build the future of AI without buying their physical internet pipelines. @Tiger_comments @Tiger_SG

I think bitcoin’s new low merely reflects the movement of funds to other areas like AI, aerospace and resilience areas such as healthcare. There is no reason to put money in bitcoin and other cryptocurrencies when in the near term there are clear stocks that can almost guarantee good returns for the next 1-2 years. With the US market being resilient, I think market fears rate hikes which would impact tech and AI stocks. Market has pulled back slightly on Friday in a knee jerk reaction. Market taking a breather now is also expected as the rise this year has already cause many of the indices to hit 52 week highs. I think the market has mostly priced in the oil prices and potential of inflation being sticky but market always reacts to the potential for rate hikes. As long as there is no s

Earnings Calendar (08Jun2026) I am interested in the coming earnings announcements for Oracle and Adobe. Let us look at Oracle - one of the key links in the AI ecosystem. Oracle shares are up 22.78% from a year ago. Technical indicators currently suggest a strong buy, while analyst sentiment is also positive, with a consensus buy rating. The average price target is $251.20, implying potential upside of 17.58%. Valuation With a price-to-earnings (P/E) ratio of 37.8 and earnings per share (EPS) of $5.69, the stock appears relatively expensive on current earnings. Financial Performance Total annual revenue increased from $40.4 billion in 2021 to $57.3 billion in 2025. Gross profit also improved, rising from $32.6 billion to $40.4 billion over the same period. Net income, howeve

Market Outlook of S&P500 (08Jun2026) Technical Analysis Overview MACD Indicator The Moving Average Convergence Divergence (MACD) indicator for the S&P 500 has started a downtrend. Chaikin Money Flow The Chaikin Money Flow (CMF) stands at 0.19, indicating there is more buying momentum than selling pressure in the market. 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 (EMA) li

$Lululemon Athletica(LULU)$ $Nike(NKE)$  $JD.com(JD)$  🧘📉🚨 $LULU: Growth Engine Stalls as Margins Collapse and Guidance Gets Slashed 🚨📉🧘 🧵 International strength is no longer enough to hide North America’s slowdown. Wall Street wasn’t buying the earnings beat. $LULU topped Q1 estimates, but investors focused on what comes next. 📉 North America revenue -5% 📉 Operating income -37% 📉 Gross margin -410bps 📉 FY26 guidance slashed This wasn’t an earnings miss. It was a confidence miss. The market is no longer questioning whether lululemon can grow internationally. The market is questioning whether its core North American business can return to growth b

$S&P 500(.SPX)$ $Cboe Volatility Index(VIX)$  $Oracle(ORCL)$  📊🌍📉 Market Week Ahead: Volatility Returns, Inflation Takes Centre Stage 📉🌍📊 After nine consecutive green weeks, the rally finally hit turbulence. I’m watching macro headlines closely as the combination of escalating Trump/Iran tensions, a stronger-than-expected labour market, and rising Treasury yields triggered a sharp risk-off move into Friday’s close. The May payrolls report came in at 172,000 versus expectations near 80,000-90,000, significantly reducing expectations for near-term Fed rate cuts and reigniting concerns that rates could remain higher for longer. The result? 📉 $

CoreWeave’s Vera Rubin announcement is impressive, but it does not settle the bigger question hanging over the company: is this the next great AI infrastructure winner, or simply the most aggressive borrower in the room? Being first to deploy NVIDIA’s Vera Rubin NVL72 system gives CoreWeave real credibility. This is not a generic cloud provider adding another product page. CoreWeave has built its identity around moving faster than traditional hyperscalers when new NVIDIA hardware arrives. For AI companies that care more about immediate access to cutting-edge compute than about buying everything from one giant cloud platform, that speed matters. The market’s excitement is therefore understandable. CoreWeave is positioning itself as the specialist cloud for the AI era, and every successful l

CrowdStrike Drops 11%, Palo Alto Slides — Time to Sell SaaS Strength? The market’s reaction to CrowdStrike and Palo Alto Networks looks less like a warning about cybersecurity and more like a warning about valuation. Both companies continue to execute well, continue to grow, continue to win customers, and continue to push their AI and platformization strategies. The problem is that investors were already expecting all of that. When a stock trades at a premium valuation, earnings are no longer about whether the company is performing well. They become a test of whether performance is exceeding already elevated expectations. CrowdStrike and Palo Alto delivered solid results, but the market’s response suggests investors wanted something extraordinary. Instead, they received confirmation that t