On my latest DCA, I added more $BABA (+1,31%) because the stock is now trading below my average cost basis. That kind of weakness is exactly when I want to size in, not out.

Alibaba is one of the most important company of the Chinese market, and in my view it still makes sense to keep it as a counterweight in a portfolio that already has a lot of U.S. exposure. The market may be pricing in too much fear, while the long-term optionality is still there.

The setup is not perfect, and that is the point. Free cash flow has been under pressure because Alibaba is spending heavily on AI, cloud infrastructure, and strategic bets in quick commerce, which compressed margins and pushed down FY2026 free cash flow.

So yes, free cash flow is weaker right now. But that weakness is tied to investment, not to a broken business model. If Alibaba executes on AI and cloud the way management is aiming to, this could look cheap.

For me, this is a big buy because the numbers matter: depressed valuation, real revenue growth, solid EPS base, and a strategic AI spend cycle that could create a stronger earnings profile later.

$BABA (+1,31%) is approaching a key technical area where wave 2 appears to be completing around the 0.618 Fibonacci retracement and the 200-week moving average. If this base holds, the next leg higher could point to a wave 3 extension toward 1.618, which in this framework lines up with the old all-time high around $320. The chart also shows a bullish cup-and-handle structure, which makes the technical case more interesting while fundamentals stay intact.

$NBIS (-15,57%)
$RKLB (-1,29%)
$OSCR (+11,98%)
$NOVO B (+2,78%)
$HIMS (+8,87%)
$SOFI (+3,12%)
$UNH (+2,72%)
$ASTS (-2,19%)
$ETH (-0,01%)
$GOOG (+1,76%)
$DLO (+13,25%)
$AMZN (+1,72%)
$BTC (+0,06%)
$ISP (-0,49%)
$DGX (-6,09%)

I started by posting my results, but performance is only the surface.

What really matters is the process behind every decision.

I invest with a long-term mindset, focused on stock picking, growth businesses, and portfolio construction.

From here on, I want to share not only what I own, but why I own it, how I categorize each position, and what role it plays in my portfolio.

My goal is simple:

to turn a portfolio into a thesis, and a thesis into a public journey.

I’m not here to chase hype or pretend to have all the answers.

I’m here to think in public, learn in public, and compound over time.

If you’re interested in public investing thoughts, portfolio context, and long-term conviction, follow along.

$NBIS (-15,57%)
$OSCR (+11,98%)
$HIMS (+8,87%)
$RKLB (-1,29%)
$UNH (+2,72%)
$ETH (-0,01%)
$SOFI (+3,12%)
$BABA (+1,31%)
$GOOG (+1,76%)
$NOVO B (+2,78%)
$ASTS (-2,19%)
$BTC (+0,06%)
$DLO (+13,25%)
$AMZN (+1,72%)
$MSFT (+3,47%)
$ISP (-0,49%)
$DGX (-6,09%)

Financials look pretty solid to me?

Total Revenue +46.6% YoY

Net Income +63.43% YoY

Diluted EPS +58.2% YoY

Anyone else covered $DLO (+13,25%)?

Second recap this year, performance even worse. I know that headline doesn’t sound great, but you have to look a bit deeper and understand my investment philosophy before judging the result.

The portfolio was down almost 9% in February, which mainly comes down to a few factors. First, some of my previous winners erased their gains entirely or even drifted into the red. Nvidia, Visa and MercadoLibre are good examples. I don’t use stop-losses because I assess companies holistically and don’t base sell decisions purely on price movements.

I generally sell for two reasons. The first is when the investment case I originally signed up for is no longer intact. That’s why I sold Fiserv a few months ago after they slashed guidance and effectively reset the company by pushing out management. It’s also why I sold Novo Nordisk when the story shifted from a slower-growing but still dominant player to something far less attractive: declining revenue, margins and free cash flow.

The second reason is when I believe there are simply better opportunities elsewhere in the market. That happened this month when I sold my T-Mobile US position to double down on some of my higher conviction and higher upside names like Microsoft, Zeta and ServiceNow.

Another reason my portfolio didn’t perform well last month is that I don’t use technical analysis. I don’t mind buying into a falling knife because I evaluate companies based on their fundamentals. Nobody knows whether a stock rebounds the day after a 30% drawdown or moves sideways for two years. But if I believe a company is a strong long-term compounder with clear upside, I’m not going to avoid it just because it could drop another 10%. In some cases I’ll even add more.

And that’s exactly what I did last month. I bought quite a few stocks, particularly in software and cybersecurity, because I think the market is mispricing some, though certainly not all, of those businesses. I added to Microsoft, ServiceNow, Palo Alto, Zscaler, Oracle and Amazon when they reached levels I considered attractive. And no, I didn’t always buy the exact bottom. That was a conscious decision.

A good example is Amazon. I bought the first half of my position before earnings at around $210 because I thought it was already an attractive entry. Then the stock sold off towards $200 and I added again. If I had waited for $190, I might never own the stock and would be kicking myself two years from now if it’s up 50%.

So yes, February doesn’t look great if you only look at the performance number. But what I actually did during the month was add to some exceptional long-term compounders. Some of them are so obvious that you almost want to call them no-brainers, even though you’re technically not supposed to say that.

But let’s be honest. Google was a no-brainer last year. Meta was, and arguably still is, a no-brainer at around 20x forward earnings while growing revenue at 20%. Microsoft might be the highest quality business in the world and trades at roughly 23x forward earnings.

My cash position is practically zero right now. While I do think the broader market has run fairly hot over the past year, there are still some extraordinary opportunities out there.

February Performance: -9%

Performance since inception: -2.8%

$META (+8,73%)
$AMZN (+1,72%)
$MSFT (+3,47%)
$NOW (+7,6%)
$V (+2,48%)
$CSU (+2,32%)
$NFLX (+4,6%)
$NVDA (-0,46%)
$ZETA (+6,77%)
$MELI (+2,95%)
$PANW (+3,61%)
$ZS (+3,88%)
$SE (+7,03%)
$ORCL (-1,24%)
$DLO (+13,25%)
$UBER (+1,38%)
$PGY
$FOUR
$TMUS (+3,71%)

Okay, this is the first portfolio update of the year and let’s just say it was not a great month in terms of performance. That said, I made some quality additions that I feel very comfortable holding for the long term.

The first half of January was strong. My portfolio reached a new all-time high on January 6. Since then, performance deteriorated, mainly due to two almost contradictory AI narratives hitting the market at the same time.

The first one was the idea that AI is about to destroy the entire SaaS industry. I have shared my thoughts on that before, and I do think there is some truth to it. Seat-based pricing models, like those used by Atlassian, Adobe, and even Salesforce, could face pressure if AI meaningfully changes workflows and reduces headcount. That is a legitimate risk.

What is not legitimate is selling off every single software company indiscriminately. ServiceNow, Microsoft, cybersecurity names, anything remotely connected to software got punished. That reaction, in my view, was irrational. Have people actually looked at the moats of these businesses? Their margins? Their retention rates? Their growth? Their role inside enterprises?

I did. And I bought.

Throughout the month, I added mainly to ServiceNow and Microsoft. At the same time, I reduced my Atlassian position and reallocated that capital into those two names. ServiceNow and Microsoft are clear AI beneficiaries in my opinion, not victims. Atlassian might still work out, but the investment case is less straightforward, and I prefer clarity in uncertain environments.

The second headwind was the cooling AI infrastructure narrative. On the one hand, the market claims AI will wipe out multi-trillion dollar industries. On the other hand, it suddenly treats AI infrastructure as if it were a short-lived flu. The contradiction is obvious.

In that segment, I did not make major moves. I re-evaluated my Nvidia position thoroughly and came to the conclusion that there is no reason to panic right now. Hyperscaler spending remains strong, demand indicators are intact, and nothing material has changed in the fundamental story.

Lastly, I bought Netflix twice, once at the beginning of January and once toward the end of the month. I am very confident in that position. The business is executing extremely well, and the potential Warner Bros acquisition looks increasingly realistic. As I mentioned before, that deal would significantly strengthen Netflix’s content ecosystem, and the cost could easily be offset through modest price increases of one or two dollars per subscription. Regardless of whether the acquisition ultimately closes, Netflix remains the dominant force in streaming.

Overall, January was not a great month in terms of headline performance, but it was productive. I increased my exposure to core positions like Microsoft, re-tested multiple investment theses under pressure, and was forced to reassess certain assumptions. That process is uncomfortable, but necessary.

Looking forward to the rest of 2026.

January Performance: -4%

Performance since inception: +7%

$META (+8,73%)
$MSFT (+3,47%)
$AMZN (+1,72%)
$CSU (+2,32%)
$V (+2,48%)
$NVDA (-0,46%)
$NOW (+7,6%)
$MELI (+2,95%)
$TMUS (+3,71%)
$SE (+7,03%)
$ZETA (+6,77%)
$NFLX (+4,6%)
$DLO (+13,25%)
$ORCL (-1,24%)
$ZS (+3,88%)
$UBER (+1,38%)
$PANW (+3,61%)
$FLTR (+4,48%)
$PGY
$TEAM (+0%)
$ADBE (+4,81%)
$CRM (+4,36%)

Back from my two-week winter break, I’ll start with a brief portfolio recap of last month. December was a much quieter month for me compared to previous ones, fitting with the holiday season. Portfolio activity was limited, with only a handful of buys and a lot more observation than execution. The only real macro event was the widely expected 25bp rate cut at the beginning of the month, followed by a slow but constructive Santa rally. Overall, December was about positioning and re-evaluating conviction, not trading.

Testament to that is the fact that my first trade was only executed on December 10th, when I opened a position in Sea around $125. I won’t go into too much detail here, as I’ve covered the company extensively over the past months. In short, Sea offers one of the cleanest growth setups in global e-commerce right now. The company benefits from rising income levels and improving infrastructure across Southeast Asia — a far more favorable backdrop than mature markets like South Korea. Revenue growth is projected north of 20–30% annually through 2027, cash flow is expanding at a similar pace, the balance sheet holds nearly $8B in cash with no debt, and the stock was down close to 40% from its YTD highs. At a ~5% FCF yield, it’s not dirt cheap, but more than fair given the growth. I’m very comfortable with Sea here, alongside MercadoLibre as my emerging markets exposure.

The next addition was Microsoft. I bought 10 shares at $475, making it a relatively small position below 3% of my portfolio. Microsoft is not a screaming buy, but it’s the kind of company I’d happily hold for a decade without even looking at the stock price. You could call it a typical “Buffett buy”: a wonderful company at a fair price. The forward P/E sits around 30, dropping into the mid-20s on FY27 estimates. Free cash flow is temporarily distorted by heavy and necessary AI CapEx, but the underlying business remains close to perfect: deeply entrenched ecosystems, massive switching costs, recurring revenue streams, and Azure as the rapidly growing #2 player in the cloud market. Still, while Microsoft is an incredible business, it isn’t my favorite Mag7 right now. That crown still belongs to Meta, and second place, in my view, goes to the stock I bought a week later.

That stock was Nvidia, which I added around $170. Nvidia puts me in a dilemma. Long term, I do see risks: extreme customer concentration, hyperscalers with the resources to build their own chips, and early cracks showing as companies like Meta explore alternatives. But in the short to medium term, the setup was simply too compelling to ignore. The stock was down 15–20% from ATHs, AI demand fears were eased after Micron’s blowout earnings, and on FY27 earnings Nvidia trades at a P/E of roughly 25. I’m highly confident Nvidia will rebound from these levels and make new highs in the coming months, even if I’m less convinced about its dominance five to ten years out.

On the same day, I also bought Uber. Similar story: not a forever-hold in my view given advances in autonomy (Waymo in particular), but at ~20% below ATHs and trading at a P/E of ~10, the risk/reward looked asymmetric. Cooler inflation, a stabilizing macro backdrop, and renewed confidence in the broader market created a favorable short-term setup. Adding to that, recent readings from the Atlanta Fed’s GDPNow model pointed to surprisingly strong U.S. growth momentum into Q4, which supports a more constructive outlook beyond just the AI narrative. I can easily see 30–50% upside from these levels, even if Uber isn’t a core long-term conviction.

December was also strong relative to my benchmark. The MSCI World was essentially flat for the month, while my portfolio gained around 5.6%. I started this portfolio in July 2025, and performance has been broadly in line with the MSCI World so far. For 2026, however, my goal is clear: visible outperformance through deliberate stock picking, generally focusing on quality-growth compounders. Alongside my core holdings (e.g. Meta, Visa, S&P Global), I’ll mix in selective high-risk, high-reward satellite positions where I see significant upside potential over the next few years (e.g. Zeta, Duolingo, Shift4).

Return since inception: +13%

$SE (+7,03%)
$MSFT (+3,47%)
$NVDA (-0,46%)
$UBER (+1,38%)
$META (+8,73%)
$CSU (+2,32%)
$SPGI (+1,71%)
$ZETA (+6,77%)
$NVO (+2,79%)
$NOVO B (+2,78%)
$V (+2,48%)
$MELI (+2,95%)
$INPST (-0,03%)
$EFX (+2,5%)
$TEAM (+0%)
$DLO (+13,25%)
$CRM (+4,36%)
$FLTR (+4,48%)
$FOUR (-0,03%)
$NFLX (+4,6%)
$DUOL