Tonc

$Microsoft(MSFT.US)

Microsoft finally delivered the strong answer the market had been waiting for. Robust Azure growth and solid AI demand helped ease fears that massive AI investment was turning into a cash-flow trap.

More importantly, the earnings restored confidence across the sector. Over the past few weeks, investors had become increasingly worried about soaring capex, negative free cash flow, and whether AI spending would ever generate meaningful returns. Microsoft’s results didn‘t answer every question, but they proved that AI infrastructure investment can translate into real business growth.

One earnings report won’t solve every concern, but it has certainly reduced the panic. For now, Microsoft has reminded the market why it‘s still viewed as one of the highest-quality AI companies.

@Captain's Treasure

$Alphabet(GOOGL.US)Google‘s disappointing new model performance has once again raised doubts about its AI execution. But the bigger issue is not technology itself — it’s whether AI can actually translate into revenue growth.

Google still has strong foundations through Search, Cloud, and its massive data advantage. The market doesn‘t need another AI story; it needs proof that these investments can generate real profits. Until monetization becomes clearer, sentiment may remain pressured despite its long-term potential.

@Captain's Treasure

📍 Winner: MSFT

🎲 Loser: AAPL

💬 Reason: I’m betting on Microsoft because the market desperately needs a confidence boost, and Azure‘s growth is the biggest catalyst this earnings season. Investors have become increasingly worried about massive AI capex, negative free cash flow, and higher-for-longer interest rates. If Azure delivers another strong quarter and management shows AI investment is translating into real cloud demand, it could restore confidence across the entire AI sector, not just Microsoft.

Maybe this is more of a wish than a prediction, but right now the market needs proof that AI spending is creating sustainable returns. A strong Azure report could be exactly the spark investors are waiting for.

@Captain's Treasure

$NVIDIA(NVDA.US)NVIDIA’s rebound barely had time to gain momentum before another headwind emerged. The recent surge in CDS spreads has raised fresh concerns about financing conditions and overall market risk, making investors less willing to chase high-valuation AI names.

More importantly, the market is beginning to question the ” self-reinforcing“ AI investment story. For a while, the narrative was that massive AI spending would generate even greater demand, creating a virtuous cycle. Now, investors are asking whether companies can keep increasing capex without clear evidence that the returns will justify it.

The fundamentals haven‘t suddenly collapsed, but the market is becoming much more demanding. In an environment where the cost of capital is rising and risk premiums are widening, even NVIDIA is finding it harder to sustain momentum solely on future expectations.

@Captain's Treasure

$Invesco QQQ Trust(QQQ.US)$Invesco Nasdaq 100 ETF(QQQM.US)QQQ confirmed its downside break from the consolidation pattern last week, and this week’s shooting star candle isn‘t exactly reassuring. While the index itself hasn’t fallen dramatically, the damage beneath the surface has been severe.

Three headwinds are hitting the market at the same time: an AI catalyst vacuum after earnings season, growing concerns over negative free cash flow as companies continue spending aggressively, and another surge in oil prices that reinforces the higher-for-longer interest rate narrative. Together, they‘ve made investors much less willing to pay for long-duration growth stories.

On the surface, the index still looks relatively stable. Underneath, however, market breadth has deteriorated sharply, with many growth stocks already deep in correction territory. It feels like one of those periods where the index masks just how painful the average portfolio has become.

@Captain's Treasure

$Tesla(TSLA.US)

I started averaging into Tesla recently and originally planned to trim the position before earnings. What I didn’t expect was how negatively the market would react to another quarter of negative free cash flow. It wasn‘t just about Tesla—the broader message was that investors have become far less tolerant of cash-burning AI and growth stories.

This really highlights how important interest rates are. When the cost of capital stays high, the market puts much more weight on near-term cash generation than long-term potential. Even companies with compelling growth narratives can struggle if free cash flow deteriorates.

For now, it feels like rates are driving valuations more than fundamentals. Until financing conditions ease, stocks investing heavily for future growth may continue to face an uphill battle, regardless of how attractive their long-term story looks.

@Captain's Treasure

$Alphabet(GOOGL.US)Google’s latest results reinforced a much bigger issue than valuation. Capital expenditure came in well above expectations, and free cash flow turned negative for the first time. At that point, debating whether the stock is trading at 18x or 20x earnings almost misses the point.

The real question is the cost of capital. As long as interest rates remain elevated, the market will continue to discount companies pouring enormous amounts of cash into AI infrastructure without near-term returns. Higher rates make long-duration investments less attractive, regardless of how cheap the valuation appears.

For Google—and much of Big Tech—the key catalyst is no longer a lower P/E multiple. It‘s whether financing conditions improve. Until the market gains confidence that rates are heading lower, AI spending is likely to be viewed as a drag on cash flow rather than a driver of future value.

@Captain's Treasure

$Intel(INTC.US)Intel is increasingly being viewed as the “American TSMC,” but investors should be careful not to confuse policy support with business execution. Much of the recent optimism has been driven by the Trump administration‘s push to strengthen domestic semiconductor manufacturing rather than a dramatic improvement in Intel’s fundamentals.

Government funding and strategic backing are meaningful, but subsidies alone don‘t translate into profits overnight. Building advanced fabs, improving yields, and winning foundry customers is a multi-year process with significant execution risk.

For now, Intel has gained a stronger strategic position, but the path from policy support to sustainable earnings remains long. The market may continue to reward the narrative, yet the real test will be whether those investments eventually generate competitive returns rather than simply expanding capacity.

@Captain's Treasure

$AppLovin(APP.US)AppLovin has struggled ever since IGV‘s last rally peaked, and the weakness feels deeper than just a correction. The market seems to be reassessing whether its competitive advantage is as durable as investors once believed.

In the AI era, data and distribution are becoming increasingly valuable. Companies with massive user ecosystems already have the traffic, data, and computing resources needed to build similar advertising and recommendation systems. That has led some investors to question whether AppLovin’s edge is truly defensible over the long run.

Whether that concern ultimately proves correct remains to be seen, but the price action reflects a clear shift in sentiment. The market is no longer willing to assign a premium multiple based solely on the AI narrative. Instead, it‘s demanding evidence that AppLovin can maintain its advantage as AI capabilities become more widely available to much larger competitors.

@Captain's Treasure

$Invesco QQQ Trust(QQQ.US)$Invesco Nasdaq 100 ETF(QQQM.US)QQQ chose to break below its consolidation triangle last week, which is an uncomfortable technical development. The index is now sitting just above the previous gap support, making this a critical area. As long as that gap holds, bulls still have a chance to regain control. But if it fails, the next meaningful support could be around the 660 area.

This week‘s catalysts will be crucial. Google’s earnings could help restore confidence in the AI trade, while any progress toward a ceasefire would likely improve overall risk sentiment. Without either of those, investors may continue reducing exposure, especially after recent weakness in AI-related names.

The uptrend hasn‘t been completely broken, but this is no longer a market where good news can be taken for granted. The next few sessions could determine whether this remains a healthy pullback or develops into a deeper correction.

@Captain's Treasure

$Alphabet(GOOGL.US)Google had finally started to show signs of stabilizing, only to be hit by another setback. Just as sentiment was beginning to improve, reports of another delay to its next-generation AI model wiped out the rebound and sent the stock lower again.

The frustrating part isn’t just the news itself—it‘s that the market is giving Google almost no room for error. Every positive development has struggled to gain traction, while every negative headline is quickly reflected in the share price.

At this stage, expectations have become extremely low. The company still has world-class assets and enormous AI resources, but investors want execution, not promises. Until Google can consistently deliver on its AI roadmap, rallies are likely to remain fragile and easily disrupted by disappointing news.

@Captain's Treasure

$Microsoft(MSFT.US)

IBM‘s collapse surprisingly failed to drag IGV down with it, and that’s what caught my attention the most. Under normal circumstances, such a sharp selloff in a major enterprise technology name would have put heavy pressure on the entire software sector. Instead, IGV remained relatively resilient, and Microsoft attracted steady buying throughout the session.

That kind of price action suggests the market is making a clear distinction between company-specific issues and the broader software landscape. More importantly, the persistent demand for Microsoft feels unusual. Buyers were willing to absorb supply without hesitation, almost as if they were looking beyond the current headlines.

Whether that‘s because investors expect a positive catalyst, stronger AI monetization, or simply view Microsoft as the highest-quality software name is impossible to know. But the tape is definitely sending a message: while most software stocks still struggle for capital, Microsoft continues to find committed buyers even on bad-news days.

@Captain's Treasure

$IBM(IBM.US)IBM’s surprise early earnings release caught the market completely off guard. Instead of reassuring investors, it triggered fears that parts of its business could be under pressure from AI, leading to an immediate 25% selloff.

Whether those concerns are justified is another question, but the reaction shows how sensitive the market has become. Right now, anything that hints at slowing growth or weaker AI competitiveness is punished aggressively. Investors are no longer giving companies the benefit of the doubt.

The speed of the decline also highlights how quickly sentiment can reverse. Just weeks ago, IBM was being treated as one of the market‘s favorite AI beneficiaries. Now the narrative has flipped, reminding everyone how fragile confidence can be in this environment.

@Captain's Treasure

$NVIDIA(NVDA.US)NVIDIA has finally pulled back to its moving averages after several strong sessions, making this an important level to watch. The rally has cooled, and now the key question is whether institutional buyers are willing to step in and defend the trend.

Given NVIDIA's weight in both the semiconductor sector and the major indexes, its reaction here could influence the broader market. A strong bounce would suggest that demand remains intact and could give QQQ another push higher. On the other hand, if support fails to hold, it may signal that recent momentum is fading and the market is entering a deeper consolidation.

This isn't just about NVIDIA anymore—it's a test of whether the AI leadership trade still has enough fuel to drive the next leg higher.

@Captain's Treasure

AI has already become part of my daily investing routine. Recently, I’ve been using open-source AI market analysis tools every evening to review the overall market, identify the strongest themes, and evaluate how my portfolio is performing. Instead of spending hours reading through news and charts, I can quickly get a structured summary and focus on the most important developments.

I also tried Longbridge‘s GPT integration, and the feature list looks very promising. It feels like we’re only at the beginning of what AI can do for investors.

The feature I would love to see most is an intelligent alert system. Rather than constantly screening the market myself, I want AI to automatically notify me whenever a stock meets the conditions I‘ve defined—whether it’s a technical breakout, unusual volume, a valuation opportunity, or a risk signal. That would help me discover opportunities earlier while avoiding potential pitfalls. AI shouldn‘t replace investment decisions, but it can become the best assistant for filtering information and helping investors react faster in an increasingly complex market.

$Invesco QQQ Trust(QQQ.US)$Invesco Nasdaq 100 ETF(QQQM.US)QQQ showed encouraging buying interest near its recent lows last week, suggesting that dip buyers are still active despite the recent volatility. That support helped stabilize sentiment, but it doesn’t change the bigger picture.

This week feels like an important test. If QQQ can reclaim higher levels and break above recent resistance, it would strengthen the case that the pullback was only a short-term correction. If it fails to do so, the market could be entering a longer consolidation phase where gains become harder to achieve and leadership continues to narrow.

After such a strong rally earlier this year, a period of sideways trading wouldn‘t be surprising. The next breakout—or rejection—will likely set the tone for the weeks ahead.

@Captain's Treasure

$Microsoft(MSFT.US)Holding Microsoft right now really takes patience. The company is still executing well, but the market has become much more skeptical about when AI investment will translate into meaningful profits. Massive AI spending is easy to justify during an expansion, but monetization is still the biggest unanswered question.

That uncertainty is keeping large amounts of capital on the sidelines. Instead of paying up for future potential, investors are chasing businesses with more immediate earnings visibility and clearer catalysts. As a result, Microsoft has struggled to attract sustained momentum despite its strong fundamentals.

The business hasn’t changed much, but the market‘s willingness to pay for uncertainty certainly has. Until AI profitability becomes more tangible, Microsoft may continue to trade more like a steady compounder than a high-momentum leader.

@Captain's Treasure

I stayed up late to watch Argentina’s dramatic 3-2 comeback against Egypt, and it turned out to be one of the best matches of the tournament so far. Egypt shocked everyone by taking a 2-0 lead, but Messi inspired Argentina‘s comeback in the second half. The game had everything—great goals, controversial VAR decisions, and nonstop drama until the final whistle. I was exhausted the next morning, but matches like this are exactly why I love watching the World Cup.

$NVIDIA(NVDA.US)NVIDIA‘s rebound from a key technical support area has given the hardware sector a much-needed confidence boost. After weeks of hesitation, seeing the market leader defend an important level helped stabilize sentiment across AI infrastructure names.

The move matters beyond NVIDIA itself. Hardware has been carrying much of the AI trade, so when its biggest name starts recovering, investors become more willing to add risk across the sector. It also eases concerns that the recent weakness marked the beginning of a broader breakdown.

Whether this turns into a new leg higher remains to be seen, but holding support was an important first step. For now, the rebound suggests the hardware story is being questioned, not abandoned.

@Captain's Treasure

$IBM(IBM.US)IBM’s recent round trip says a lot about today‘s market. After falling all the way back to its breakout area, a fresh round of supportive comments from Trump was enough to send the stock almost back to its previous highs.

What stands out isn’t just IBM‘s strength, but what it says about capital allocation. Investors are no longer paying much for uncertainty or long-term potential. They want clear policy support, visible earnings, and narratives they can easily believe in. Once a stock loses that certainty, it often drifts lower regardless of valuation.

It’s a market where conviction has become highly concentrated. Whether that‘s sustainable is another question, but for now, certainty is being rewarded far more than possibility.

@Captain's Treasure

$Tesla(TSLA.US)Tesla‘s sharp rebound on Monday was encouraging, but the fact that it failed to fully erase the previous selloff is also telling. Buyers are still willing to step in aggressively, yet the stock no longer has the effortless momentum it enjoyed during stronger phases of the rally.

The good news is that the rebound shows demand hasn’t disappeared. The less encouraging part is that every rally is now running into much quicker profit-taking, suggesting expectations are becoming more balanced.

For now, Tesla looks more like it‘s building a new range than starting another vertical move. If it can keep making higher lows despite the volatility, the bigger trend remains alive. But compared with a few weeks ago, the market is clearly asking for more confirmation before pushing the stock to new highs.

@Captain's Treasure

$Invesco QQQ Trust(QQQ.US)$Invesco Nasdaq 100 ETF(QQQM.US)QQQ had another rough week, and this time it felt like the market was reacting to more than just macro noise. A series of disappointing headlines has started to raise a bigger question: has the AI capex cycle already reached peak optimism?

For months, investors were willing to assume every dollar of AI spending would generate strong future returns. Now the focus is shifting toward efficiency, monetization, and whether all that investment can actually translate into profits.

The trend hasn’t completely changed, but confidence is clearly being tested. When the market begins questioning the core AI spending narrative instead of just valuations, volatility usually increases. The easy phase of the AI trade feels like it‘s behind us, and investors are becoming much more selective.

@Bridge Buzz SG

$Tesla(TSLA.US)Tesla just gave us another classic ” buy the rumor, sell the news“ week. After ripping higher on expectations, it gave back a huge chunk of the gains almost as soon as reality arrived. At one point I almost thought it was a memory-chip stock instead of a car company.

That‘s just how TSLA trades now. Expectations get priced in incredibly fast, and once the catalyst is out, momentum money is just as quick to head for the exit. The funny part is that the long-term narrative barely changed, but the stock can swing wildly anyway.

It’s a good reminder that with Tesla, sentiment often moves much faster than fundamentals. Sometimes the biggest risk isn’t bad news—it‘s expectations getting too far ahead of reality.

@Bridge Buzz SG

$NVIDIA(NVDA.US)NVIDIA has been in an awkward spot lately. Despite remaining one of the strongest companies in AI, it’s no longer leading every rally. The broader semiconductor sector has started to lose momentum, and that‘s making it difficult for NVIDIA to keep pace with the sharp rebound in other Magnificent 7 names.

It’s an interesting shift. Earlier this year, semis were carrying the entire market. Now capital is rotating elsewhere, leaving NVIDIA caught between strong fundamentals and weaker sector momentum.

The story hasn‘t really changed, but leadership has. For now, NVIDIA feels less like the engine of the market and more like a heavyweight waiting for the semiconductor group to regain its strength.

@Bridge Buzz SG

$Robinhood(HOOD.US)One theme that’s becoming more interesting is what happens when AI agents become widely available. If everyone has access to tools that can monitor markets, generate ideas, and execute trades automatically, trading frequency could increase dramatically. That doesn‘t necessarily mean people will make more money, but it almost certainly means they’ll trade more.

That‘s why brokers like HOOD could be quiet beneficiaries of the AI era. More orders, more options activity, and greater platform engagement all translate into higher transaction-related revenue, regardless of whether individual traders outperform.

The first AI boom was about selling the infrastructure. The next one may be about monetizing how people actually use AI—and brokerage platforms could end up being one of the biggest winners from that shift.

@Bridge Buzz SG