Grateful for the Gains, Looking Ahead A little reflection on Tesla, SpaceX, and the opportunities that come with staying patient and disciplined in the markets. Tesla continues to be one of the most fascinating names in the market, with investors watching closely as the company pushes further into autonomy, robotics, Cybercab and the long-awaited Roadster. At the same time, SpaceX represents another major piece of the broader innovation story surrounding Elon Musk, from space technology and satellite connectivity to the possibilities that could reshape entire industries. For me, the biggest takeaway is not simply the price movement, but the importance of having the patience to let a trade develop and the discipline to take profits when the opportunity presents itself. I'm genuinely gratefu

Hello. The biggest story last night was Nvidia out raising money: it is working with Blackstone, BlackRock, Goldman Sachs, KKR and others on a consortium to fund AI infrastructure, for as much as US$500 billion, to be spent on AI chips, power generation and data centres. $英伟达(NVDA)$ fell 2.86 per cent on the news. It didn't fall because demand is short. It fell because people have started to wonder whether Nvidia is creating that demand itself: it has signed agreements worth hundreds of billions of dollars with participants across the AI ecosystem, lifting overall demand and valuations, while those counterparties themselves depend on the AI boom staying alive. That structure has a name. Circular financing. Jensen Huang answered on

Many existing shareholders and insiders have a much lower cost basis, so they may be willing to sell if the price moves significantly higher. Riding the trend and buy back at a lower price later. 

Hello. Friday's payrolls report was genuinely bad: July payrolls fell by 23,000, the May and June gains were revised down by a combined 103,000, and hourly earnings rose just 3.2 per cent year on year. $S&P 500(.SPX)$ rose 0.62 per cent to a record close. $NASDAQ(.IXIC)$ rose 1.30 per cent and $Dow Jones(.DJI)$ 0.28 per cent. Data that bad turned out to be good news, because the market immediately cut the odds of a September rate rise to about 44 per cent. Loosen the rate outlook and valuations get room to breathe: $Palantir Technologies Inc.(PLTR)$ ros

Tesla has gone nowhere for almost 5yrs. It is a emotional ride with the ups and downs. investors often lose money due to greed and fear. If you're able to overcome your emotions you will do very well in the long term. Give yourself time for robotaxi, AI, robotics and energy storage to play out. Tesla isn't just a automotive company. They're building something which could revolutionise many things which we can't see in the future. I stay invested and should price goes insanely silly again I will scoop up some shares again. 😉

Tesla sits at the intersection of two very different valuation stories. If you believe the company will become a leader in autonomous driving, Optimus robots and AI infrastructure, today's weakness could look like a temporary mispricing. Those businesses, if they scale, would justify a valuation well beyond that of a traditional carmaker. The bearish case is that those future opportunities remain largely unproven, while the current business faces softer EV demand, pricing pressure, compressed margins and heavy capital spending that weighs on free cash flow. If the core automotive business continues to weaken faster than new businesses mature, the stock could remain under pressure. At current levels, Tesla looks more like a high-risk, long-duration growth investment than a conventional valu

Buy when there's blood on the streets

I bought the dip instead of reducing my exposure. One weak session doesn't change my long-term thesis. To me, this was more of a valuation reset than a collapse in AI demand. I still believe enterprise AI and hyperscaler spending have plenty of room to grow. Corrections like this can also create opportunities to accumulate quality companies at better prices. I'm becoming more selective, focusing on semiconductor & AI infrastructure companies with strong demand, visible orders, and improving cash flow. I continue to DCA into my highest-conviction positions instead of reacting to short-term volatility. Risk management remains important, so I'm keeping my position sizes under control. Over the next few months, I'll watch whether higher AI capex translates into stronger revenue and free c

$TSLA 20260724 305.0 PUT$ volatility is my friend 

My interpretation of the latest market movement is that the market has shifted from rewarding “good” results to demanding “exceptional” results with a convincing forward outlook. Tesla’s latest Q2 earnings are a good example of this change. Here’s how I see the current environment: 1. The market is now forward-looking, not backward-looking The Q2 numbers describe what happened over the last three months. However, institutional investors are pricing what earnings will look like over the next 12–24 months. Tesla delivered strong revenue growth, but investors focused on: * Earnings per share missing expectations. * Gross margin compression. * Negative free cash flow due to massive capital expenditure. * Management reaffirming even higher spending on AI, Robotaxi, Optimus and semiconductor man

🌟🌟🌟I choose C: Adding Energy, Defense and Gold exposure.  Why? With Brent Crude crossing the USD 100 threshold, adding exposure to this energy sector provides a natural portfolio hedge against spiking oil prices.  My Top Pick is is $Energy Select Sector SPDR Fund(XLE)$ because it directly monetises the macro threat: USD 100 Brent Crude Oil.  It also gives me direct exposure to energy giants like $Exxon Mobil(XOM)$ & $Chevron(CVX)$ turning that macro pain into pure portfolio alpha. For Gold exposure I would choose $Gold Trust Ishares(IAU)$ as it offers a necessary volatility buffer, as tech stocks are

I see this as more than a routine risk reset, but not yet a confirmed trend reversal. The 14.5% plunge reflects the market suddenly demanding evidence that Tesla’s AI valuation can eventually translate into cash flows. The numbers justify the concern. Q2 revenue reached a record $28.2B and deliveries rose strongly, but operating margin collapsed to 1.4%, versus the Street’s pre-report expectation of roughly 5.4%. Free cash flow was -$1.1B, largely because capex more than doubled sequentially. Tesla expects over $25B of capex in 2026, with spending continuing to rise as Robotaxi, Optimus, AI compute and manufacturing capacity expand.  The crucial distinction is that Tesla is not suffering from collapsing demand alone. It is deliberately sacrificing current profitability to finance busi

The biggest troubling of Tesla isn't the short-term free cash flow (FCF) turning negative—the market actually expects to burn $3.25 billion, but actually only $10.9 billion is a "handsome number"; the real chronic poisoning is that the gross margin of the car business has dropped to 16.3%, closer to the level of traditional car manufacturers BYD and Toyota. 

The long-term opportunity remains large, but the market is becoming less patient with businesses that require heavy investment before generating measurable revenue. $Alphabet(GOOGL)$ fell 7.13% despite strong headline results. Google Cloud revenue grew 82%, but Alphabet also increased its annual capex outlook to as much as $205 billion and reported negative quarterly free cash flow of $5.9 billion.

$Tesla(TSLA)$ fell 14.53% after investors focused on shrinking profitability and rising cash consumption. Tesla’s second-quarter operating margin dropped to 1.4%, while free cash flow turned negative. Capital spending on robotaxis, Optimus, AI infrastructure, batteries and new manufacturing projects continued to climb. The long-term opportunity remains large, but the market is becoming less patient with businesses that require heavy investment before generating measurable revenue.

It really is a damned if you do, damned if you don't. Google had to join the field and come up with their own AI model, hoping to outlast competition. Was it really necessary though? Apple fumbled the AI chase, then made a seemingly wise decision to onboard functionalities from external companies and they do not seem to be suffering too much. It likely is a case hubris, everyone wants a slice of the AI bubble's money and once they put money in, they can only keep digging themselves deeper into the hole.

Everyone knew it was a gamble, that is why there is an AI bubble, a big enough crash will come along eventually. The thing is "AI" as we know it require constant monetary input, the newest chips, new training, maintenance to avoid model drift, constant improvements to keep up with competition... CapEx will not be a problem that get solves anytime soon The AI players are hoping that someone folds and they end up being the last one at the table, but even then, the number does not bode well because the revenue will still not keep up with the expenditure.