To The Moon

For me, the key takeaway is that this is not simply a stock-market problem. When oil stays above $100 and Treasury yields push above 5%, the risk-reward equation changes. I am watching yields closely because they can pressure valuations even when company fundamentals remain solid. I am still constructive on AI and semiconductors long term, but this environment makes selectivity more important. I would rather accumulate strong companies gradually on pullbacks than chase momentum, especially when higher rates can compress growth-stock valuations. For now, I am watching oil, inflation, the 10-year Treasury and earnings. My approach remains simple: patience, diversification and buying quality during weakness rather than reacting to the red heat map.

Mathematical Money | September 29, 2026 $VST Here's a company whose adjusted EBITDA grew 31% year on year last quarter, trading two and a half percent above its fifty-two week low. I doubled my position in it yesterday. This is the reasoning, including the part that argues against me. No price target, as usual. The thing almost nobody accounts for Vistra has hedged roughly 100% of its expected generation for 2026. About 84% for 2027. About 58% for 2028. Read that again, because it decides everything else. Hedging means selling your output forward at a fixed price. It removes the risk of power prices falling. It also removes the benefit of power prices rising. So the entire "AI data centres are going to make electricity scarce and expensive" thesis — the reason anyone looks at this sec

🌟 $Tesla Motors(TSLA)$ takes a 5% hit over 2 days and right on cue, critics are out claiming the wheels are falling off the wagon. The reality is Mother Nature has decided to dump torrential rain over Central Texas.  This has forced Elon Musk to push back the outdoor Roadster hypercar reveal by 2 weeks. The market threw a tantrum  because it has to wait a little longer but the big game is this Friday. Friday's Q3 delivery numbers is the ultimate showdown.  The bears are leaning into macro slowdowns with JPMorgan trimming numbers and flashing caution.  But they are blind to what is happening inside Tesla's showrooms. The family targeted 6 seat Model Y L has been a winner since orders opened in July.  Showrooms have literal

🌟 $SanDisk Corp.(SNDK)$ dropped 3.65% on Monday and suddenly the bears are whispering that the great AI storage boom is running out of gas. Let's not forget what happened the last time:  $Micron Technology(MU)$ dropped a monster earnings report & SanDisk launched itself into orbit with a huge 22% in a single day. Why? Because the market keeps forgetting a fundamental truth of the AI revolution: AI doesn't just need brains to compute.  AI needs an astronomical amount of flash memory to store the data. To traders sitting on their hands and waiting for clarity : I get it, volatility is scary.  But you know the demand for enterprise SSDs is an absolute fortress.  Buying this minor dip

$Invesco QQQ(QQQ)$   The Nasdaq Held. The Long Bond Didn't. My Calls Followed The Wrong One. Mathematical Money | September 30, 2026 The question going round is whether elevated yields break the tech bull. I think that's the wrong place to be looking, and I can show you why using my own book rather than theory. Start with what actually happened The 30-year Treasury yield touched just above 5.6% on Monday, the highest since June 2002, and the 10-year sits around 5.24%. Now look at what that did to two different things over the last three months. TLT, the long-dated Treasury ETF, is down about 9.5%. QQQ is up about 0.2%. Three months. The bond market has been repriced violently and the Nasdaq has gone sideways — Monday's 0.9% slip in QQQ is

The market has spent years getting used to the idea that interest rates will eventually come down. But what if they don’t come down as quickly as investors expect? That is the scenario I’ve been thinking about lately. A higher-for-longer rate environment changes the investment equation. It doesn’t necessarily mean avoiding stocks altogether. Instead, I think it makes valuation, cash flow, balance-sheet strength and earnings quality much more important. When money is expensive, companies have to work harder to justify aggressive expansion. A business that needs constant access to cheap debt can look very different when financing costs remain elevated. At the same time, companies with strong free cash flow and limited debt have more flexibility. For me, the biggest question isn’t simply: “Wi

$NVDA 20261120 195.0 PUT$ NVDA, the kingpin of AI, is on uptrend ( and the rest of the magnificent 7. Taking the dip as opportunity to add position.The later part of the year are usually bullish and taking this time to take positions.

$Enovix Corporation(ENVX)$ Got assigned the shares 2 days early as option is deep in the money. Averaging down my overall cost for this stock with the assignment

$GOOGL VERTICAL 261030 PUT 315.0/PUT 310.0$ It's frustrating that GOOGL register a bigger fall. But I'm bullish long term as it's fundamentally great stock ( still growing, great balance sheet and P/L). As it's near 50 sma and it always respect this support (always rebound), I took a vertical spread for income - to help fund my daily expenses while traveling in Europe 😉.

$NFLX 20261002 84.0 CALL$ Still have 1.5 weeks till expiry and most premium has been collected.  This frees up the underlying stock from any covered call obligation.  It's a bit far from breakeven at $84 now so won't be selling new covered call and just wait.