u/eToroTeam

The personalized mRNA cancer vaccine from Moderna and Merck just succeeded in a late-stage melanoma trial; this is the first time this has ever happened.

The vaccine is built from each patient's own tumor DNA, paired with Merck's Keytruda. In 1,137 patients whose melanoma had been surgically removed, the combo meaningfully reduced recurrence and spread compared to Keytruda alone.

Full data hasn't been released yet and overall survival results are still pending, so the market is reacting to a headline. That's worth keeping in mind.

For Moderna this is a big deal, the company has been looking for its next act since Covid revenue collapsed. A Phase 3 cancer win is real evidence that mRNA works beyond infectious diseases. For Merck it potentially strengthens Keytruda's franchise ahead of its patent cliff.

The sharp share-price reaction reflects that potential, but retail investors should keep expectations measured. The harder questions are still open. Manufacturing a personalized vaccine for each individual patient at scale is genuinely complex and expensive. Regulatory approval is still ahead. And the full data may look different from the headline.

Investors should therefore watch for next important steps which will be detailed clinical results, regulatory progress and evidence that the technology works across other cancers.

$13.5 billion in one quarter, position up 83%. For a firm that spreads risk across dozens of names, that's a loud statement.

Alphabet always splits opinion: too big to grow meaningfully, or still quietly compounding while the market obsesses over whether AI kills Search.

The market spent most of 2026 treating Alphabet as an AI risk story. Berkshire apparently read it as an AI opportunity. It fits the pattern Buffett is known for: a real risk gets attached to the wrong conclusion, and patient capital steps in while everyone else hesitates. Or just a value move into a business that never stopped printing cash.

Conviction call, value play, or both?

Feels worth discussing here of all places... The stock was down 30% ytd before last night's announcement. Then it jumps 12% overnight, not because anything changed in the business, but because index funds that track the S&P 500 now have to buy it. Every tracker, no discretion. That's the mechanical part.

The business itself is interesting right now. Eight straight quarters of revenue growth above 60%, operating cash flow crossing $1 billion annually for the first time, net income more than doubled year over year. By most measures a company hitting its stride.

But US daily active users declined sequentially last quarter. Management points to volatile search referrals; Google's AI Overviews are changing how people find content, and Reddit gets a meaningful amount of logged-out traffic that way. The CEO's argument is that direct app users are higher quality and worth more to advertisers, and that's where product investment is going. It's a reasonable position.

On the index mechanics: traders front-ran the announcement, which is why the move happened last night rather than on August 18, when the actual rebalance occurs. The forced buying is still coming, but the price already reflected most of it within hours.

So three things are true simultaneously: strong financials, a user growth question mark, and a technical demand event that may already be spent. Which one actually drives the stock from here?

Strip out the one-off valuation gains from Alphabet and Amazon, and growth still sits at 32%. Ten of eleven sectors grew earnings. Eight delivered double-digit growth. Only 33% of companies guided negatively for next quarter, versus a long-run average closer to 60%.

By almost every measure this has been an exceptional earnings season. The market is at record highs. Industrials are trading on the highest forward multiple in the index; investors are paying up for the companies building the AI infrastructure, from power equipment to data center construction.

Here's the uncomfortable part. When results are this good and expectations are already this high, the margin for disappointment gets thin. The watch-point from here is whether every dollar of capex keeps converting into earnings; Meta's result showed what happens when the market doesn't see the payback.

Is a 50% earnings growth rate a reason to be more confident in equities right now, or is it exactly the kind of number that shows up near a peak?

The buzz around SpaceX has put space stocks back on the radar, but the public space market goes well beyond one company.

Rocket Lab, AST SpaceMobile, Redwire, Intuitive Machines, Iridium and Planet Labs all offer exposure to different parts of the space economy: from launches and satellites to communications, data and infrastructure.

The interesting part is that many of these companies are still difficult to value using the usual metrics.

Several are investing heavily and are not yet consistently profitable, so looking at a P/E ratio often doesn’t tell you much, or there simply isn’t a meaningful one yet. That puts more weight on things like revenue growth, cash burn, CapEx, margins and, importantly, backlog.

Backlog is particularly interesting in space. Government or commercial contracts can give some visibility into future revenue, but a large backlog still has to be converted into actual revenue and eventually cash flow.

Capital requirements are another question. Building rockets, satellites and infrastructure isn't cheap, so strong growth can still come alongside significant spending and potential funding needs.

And then there’s the biggest question: which companies can turn growing demand for space infrastructure into a sustainable business rather than simply growing revenue?

SpaceX may be driving the attention, but the rest of the sector raises some interesting investment questions.

AI is capturing investor attention again after strong earnings from major tech companies. Capital is flowing into semiconductors, software, cloud infrastructure, and now broader. The performance gap between the strongest and weakest AI-related companies has already reached several dozen percentage points this year.

That gap is the point. Not every company that mentions AI is benefiting from it. Here's a framework worth keeping in mind.

1. Is AI making a measurable contribution to financial performance - or just appearing in presentations?

2. Is the company already monetizing AI: higher sales, new customers, better margins, or still promising future returns?

3. What is happening to free cash flow? Revenue growth without improving FCF is a warning sign, not a green light.

4. What are they spending on capex, and is there a credible path to returns on that investment?

5. Which part of the AI ecosystem are they in? Chip manufacturers, cloud operators, software developers, and application providers are very different businesses with different risk profiles.

6. What is already priced in? A great company at a very high P/E multiple may have years of flawless execution already baked into the price.

7. Are you buying because the thesis is sound, or because the price has been going up?

8. Are you diversified across the theme, or concentrated in a handful of names?

9. Have you read the quarterly report: margins, cash flow, order backlog, guidance; not just the headline number?

10. What is your time horizon? Periods of AI euphoria have historically been followed by corrections. Patience has generally been rewarded more than speed.

The AI revolution is real. That doesn't mean every stock in the space will benefit from it.

What would you add to this list?

Everyone is focused on Nvidia, data centers, and cloud infrastructure. Meanwhile, Heineken just reported free operating cash flow jumping from €257M to €1.4B in H1 2026, driven by working capital improvements, lower capex, and the early results of their broader digital and AI transformation. With a 97% cash conversion ratio.

Their model is deliberately "growth without capex" using AI and process optimization to unlock extra capacity from existing breweries rather than building new infrastructure. FreddyAI, their global marketing intelligence platform, is already rolling out across commercial teams worldwide.

They're not alone. Carlsberg is using Microsoft and machine learning to predict flavor profiles from different ingredients before a single batch is brewed. AB InBev used generative AI to create an entire product: recipe, name, logo, marketing, from scratch. Academic research is training models on hundreds of commercial beers to spot flavor patterns humans consistently miss.

The contrast with the AI hardware trade is worth noting. Chip companies and cloud providers are spending billions upfront with uncertain timelines to profitability. Traditional consumer companies are deploying AI narrowly, with specific goals, and seeing measurable returns in the near term.

Not every AI story requires a data center.

Which industries outside tech do you think are quietly winning from AI adoption right now?

A clear theme came through this earnings week: the market is rewarding companies that can show real monetization, and punishing names where spending feels too open-ended.

Microsoft was the standout. Strong cloud growth and a more disciplined AI spending message gave investors something they clearly wanted.
Meta showed the opposite dynamic: solid revenue was not enough to offset concerns about capex and weaker free cash flow.
Amazon also got a warm reaction because AWS gave the market a concrete growth engine to focus on.
Apple was a reminder that even a beat can feel underwhelming when expectations are already stretched and one part of the business comes in softer than hoped.

The bigger takeaway is that earnings season is no longer just about topping estimates. Investors seem far more sensitive to the path from spending to returns, especially with rates still elevated and patience for vague AI narratives running thinner.

What is your read? Is the market becoming more selective, or is this just a high-expectations week?

Microsoft and Meta report Wednesday, Apple and Amazon Thursday. Same 48-hour window, four Magnificent Seven names.

Last week's preview: Tesla posted record revenue and deliveries, and the stock still dropped 14.5% in a day on margin collapse and negative free cash flow. Alphabet beat estimates entirely and still fell, purely on the size of its new AI capex guidance.

Different companies, same lesson: big headline numbers aren't buying goodwill right now. The market wants to see the AI spending actually turn into something.

Which of the four are you watching closest this week, and why?

For six months this was the story: Bitcoin down almost a third, Nasdaq up double digits over the same stretch. People read it as crypto having its own problem, not part of a broader risk-off move.

Then since July 1, it's basically flipped. Bitcoin's up around 9-10%, back into the mid-$64,000s, while the Nasdaq's been sliding through earnings-week jitters, AI capex worries, and oil volatility.

That's a genuine reversal, but it's young, a few weeks against six months of the opposite direction. Is Bitcoin finally starting to move on its own logic instead of following tech sentiment, or is this just an oversold bounce that happens to line up with a rough patch for the Nasdaq, and it all snaps back once tech stabilizes?

Alphabet’s earnings reaction feels bigger than the headline beat.

Revenue is still holding up, but the market is clearly focusing on the other side of the story now: rising AI capex, pressure on margins, and what that means for free cash flow going forward. After the open, the stock is still trading lower, which makes this feel less like a one-day headline reaction and more like a real test of how much patience investors still have for the AI trade.

Some analysts are already revising free-cash-flow expectations, so the question is no longer just “is AI spending growing?” It’s becoming “how long before the market wants to see payback?”

Are we still in the “spend now, payoff later” phase, or is the market starting to punish that story?

Tesla already released its operational numbers: 480,126 vehicles delivered, a record, up 25% year over year, production at 451,758. Full financials drop tonight after market close.

Tesla itself says deliveries alone don't tell you much about profit, average selling price, costs, and FX still matter.

Here's what's actually worth watching once the numbers are out:

1. Automotive economics. A delivery increase can still coexist with margin pressure. Watch gross margin, regulatory credits, pricing, and cost per vehicle, not just the growth headline.
2. Did growth convert into cash? Free cash flow can swing hard quarter to quarter from inventory and capex timing. One print isn't the whole story.
3. How much of the AI spend is productive now versus still a bet on the future? Compare capex growth against actual milestones, not the narrative around it.
4. What's the real evidence on robotaxi and autonomy? Deployment, safety data, and paid usage are stronger signals than demo videos. A pilot and a scalable network are very different stages.
5. Is Optimus becoming an actual business, or still pure optionality? Track production, reliability, and unit cost rather than folding it into the core business without a real discount.

What's the one number you're actually watching for tonight?