Konstantinos

@BullandBaird Well, it replaced the dollar and pretty much successfully for criminal actions. I always had an instant and intrinsic disgust about Cryptos.

Its just remarkable to me how fast crypto became irrelevant. No one built a single thing on it that gained widespread adoption (I guess other than just a payment platform) Remember when it was going to replace the dollar? Laughable.

@Craaazy1231 @POETtech If you take a look at X everybody knew since today... 🤣 I am not sure if 99% of traders here know the company's logo or what they exactly do (including the master pumber who holds a position and speaks about lobsters).

I’m sorry for every $POET investor. I’m heavily in Poet myself with more than 4.000 shares, and nobody saw this coming. Even I was so bullish, I believed this could hit at least $30 EOY. I still haven’t sold yet, until a statement from @POETtech themselves. I hope everyone makes back their money.

@aleabitoreddit there's never just one cockroach in the kitchen when you start cooking lobsters $POET

Pretend $SIVE, $LITE make specialized blue and red maine lobsters. Very rare, not many people can do. $POET steams the lobsters and prepares it in a ready-to-go container. $MRVL buys those lobster tails, puts it together on a plate with broccoli and steak. Then serves it at the highest price to high end customers. Marvell is famous for serving Blue lobster tails. But can always serve Red ones, and it’s easier to keep serving Blue that they’re used to. And it’s also possible for the Red lobster farmer to shift to Blue lobsters with some effort, but it takes time to raise those lobsters. But… it just so happens Marvell’s competitor Nvidia bought out all the Red Lobsters for their restaurant. In the end, they still need those rare blue Maine lobsters. But just decided to steam it themselves. That’s $POET and $MRVL situation. It’s likely they’ll just go buy lobsters directly since you can’t just spawn Blue lobsters.

@michaelsikand Great points, I have experienced all 5. The one that hurt me the most was 3+2. Opportunity cost can be massive

Five hard lessons I've learned about stocks. 1) Worship volume and liquidity. Even if you find better fundamentals on a foreign exchange, in most cases, the U.S. listed equivalent is the better play. 2) Don't get trapped at the execution phase. Execution is fucking hard. Management teams promise the world. Stocks are stories and you can literally make a killing on multiple expansion well before single bit of proof. 3) Forget sizing big into binary stocks (mining, biotech, buyouts). The opportunity cost is way too high when a catalyst has no clear time frame. Investors are impatient and they're so quick to ditch a stock when it takes longer than expected. 4) Do not be afraid of a blown out chart. For example, I hit a 3x on $AAOI this year after it was already up triple digits. You just have to do the work to suss out what's being priced in and what's not. 5) When you know something the market doesn't, don't hold back. Most of the times I've had a true, genuine edge I just didn't size to my gut conviction.

@Juliee4wo @michaelsikand Which ones?

@michaelsikand 3 company from White house ipo in 2 month... U know what happens

The defense trade is getting smoked. $LMT is down 18% in 1M $KTOS is down 19% in 1M $RCAT is down 15% in 1M My newest position $AVEX ripped to $41 Monday and closed at $29 on Friday. And my fave long $KRKNF is down 20% from its ATH in March. As to what's going on... Don't forget that even Hegseth, the Secretary of War, was wrong about the market's reaction trying to go long a defense ETF before the strike. I made the argument that if Anduril was public, it'd be getting skewered too. Seems like the category was a buy the rumor, sell the news after Iran following massive runs. But what happens when the new ~$1.5T budget advances and a deluge of fresh contracts actually hits your defense stocks. We don't have enough drones. Interceptors. Mine hunting tech. Or even the critical metals needed to make them. Read any literature coming out on the war. Might be a good time for defense investors to just hold and appreciate buying opportunities knowing full well the Iran War is a tremendous catalyst. It was extremely hard to find a good defense deal until recently... and the thesis only got stronger?

@commonsenseplay Schwab

Follow-up from my January post comparing brokerages. I tested them all - Robinhood, Webull, Schwab, IBKR, etc. Clear winner for me: Interactive Brokers (IBKR). Why I landed there: - Lowest margin rates by a mile (always keep your margin under 10%) - Best execution (this actually matters more than people think) - Access to global markets (lots of my smaller and international picks are available on this app) not just the big popular stocks like $NOW $PATH $ACN $IONQ etc - Professional-level tools if you want them - Rock solid from a trust/reliability standpoint It’s built for people who care about performance over confetti. I also reached out to them after choosing them, because I actually like and use the product - here is the affiliate link - if you do decide to check it out, using it helps support the account. interactivebrokers.com/mkt/?src=csiX&… Either way, I only stick with what I actually use- let me know what you think of them!

@RyanDetrick Inflation adjusted vs nominal looks better for your comment.

The last secular bull market lasted nearly 20 years. This one is just over 13 years. Be aware this could still keep going much longer than most think.

@realroseceline simply put as that:

@realroseceline The Risks of Passive Investing Dominance papers.ssrn.com/sol3/papers.cf…

All our lives we’ve been told to measure ourselves against the S&P 500. Beat it and you’re doing well, lag it and you’re not. It sounds objective, almost like a scoreboard for investing. But I think that benchmark is becoming more misleading and more dangerous. Because the S&P is not what people think it is anymore. It sounds like you’re measuring against 500 of the best businesses in US, something diversified and balanced. But in reality, you’re measuring against a small group of companies that dominate the index. The rest are there, but don’t really move the needle. Companies like $AAPL, $MSFT, $NVDA, $AMZN, and $META don’t just participate in the index, they drive it. Together they make up a massive portion of the weight and returns. So when you compare your portfolio to the S&P, you’re not really comparing against 500 companies. You’re comparing against a handful of the largest businesses in the world. And that’s where things start to get uncomfortable. If you’re underweight those names, you can be right on almost everything else and still underperform. You can pick great businesses with strong economics and still look wrong simply because you didn’t own enough of what the index favors. People call the S&P passive, but it’s not really neutral anymore. It’s an active bet on size, momentum, and capital flowing into the biggest winners. You’re implicitly saying the largest companies deserve to keep getting larger and absorb more of the market’s capital. That’s a very specific view of how the world should work, even if most people don’t realize they’re making that bet. It also creates the illusion of diversification. Five hundred companies sounds safe and balanced, but economically your exposure is heavily skewed toward a handful of businesses, albeit great ones. Digital advertising, cloud, enterprise software, semiconductors. If those slow down at the same time, the whole index feels it, and suddenly that diversification doesn’t look so good. The bigger issue is what this does to behavior. The moment you accept the S&P as your benchmark, you start thinking differently without realizing it. You hesitate to own smaller or less popular companies because they won’t move your relative performance. You feel pressure to own what’s already working, even if the valuation doesn’t make sense. Over time, you stop asking the most important question, which is whether a business will increase its per share value. Instead, you start asking whether it will help you keep up. That’s a completely different mindset, and it slowly turns investing into a relative game instead of an absolute one. The benchmark doesn’t just measure you, it literally shapes you. For professionals, it goes even further. Underperforming the S&P is career risk, so the incentive is to stay close to it. That leads to crowding into the same names and avoiding anything that might look different, even if it’s a better opportunity. Concentration ends up feeding more concentration, and the cycle repeats itself. None of this means the S&P is useless. It’s still a good snapshot of large cap US equities and a helpful reference point. But it’s no longer the neutral measuring stick people think it is, and that distinction matters more today than ever before. So maybe the better question isn’t whether you beat the S&P. Maybe it’s whether the businesses you own are actually creating value over time. Because in the end, that’s the only thing that compounds, even if it doesn’t show up in a benchmark. And here’s the part that really puts it into perspective. If you strip out the top 10 companies from the S&P, the results look completely different. The index goes from looking strong and healthy to something much closer to flat, with far less earnings growth than people assume. So when you say you’re benchmarking against the S&P, you’re effectively benchmarking against those ten businesses carrying most of the weight. 🌹

@optionscjp You are ove®sized - if you ask this here. wake up

I have a little over $1m in $AMZN now Would you trim some before earnings if you were me? I’m probably just gonna hold to be honest With the anthropic news and now the meta news, i don’t see how AWS doesn’t make this thing have amazing earnings Last quarter of the market did not have much info on why they were going to spend so much money on Capex with AWS, but now it all makes sense

@StockSavvyShay Try to support his myth and a sequel of the film. However, this time everyone knows...

Michael Burry disclosed a new bearish bet on semiconductors through $SOXX puts. Chip stocks are on an 18-day winning streak with the ETF up ~40% this month in its strongest run since February 2000.

@Andrew99Blue @financialjuice He will be correct if he makes $$. Everybody and his cat know that these valuations are for perfection. Timing is more important than the thesis.

@financialjuice He's correct. NVDA is way overpriced. All of them are. They'll find a base 20-30% below where they are now. Probably start this week and end up finding base in 12-18 months.

Michael Burry: Bought Ishares Semiconductor ETF Puts.

@rdd147 They will have a deal this weekend. It is obvious. If i am wrong i will delete my comment

Alright, who the fuck hacked BRICs?

@Ross__Hendricks Too much drama. I prefer Transdigm as a real compounder at this stage.

Everyone wants to be a compounder bro until the drawdown comes Are you taking advantage of one of world's best-run companies on sale at a decade-low valuation, anon?

Added $TDG and $SARO

@realroseceline @hazresearch Have you done any research on Adyen?

@hazresearch I have a significant but not outrageous position in $dlo

Best day by far in my recovery thus far, finally back in my room. Ask me anything — GO! 🌹

@MarioNawfal This is probably the worst take I have seen about this war.

For anyone who still doesn't believe that the war is over, this should confirm it This is Trump saying he's ok with walking away from Iran even without a deal, and letting the world clean up the Hormuz mess As I and others have said, this is the least bad option Trump has, and he should take it His post confirms he's fine with it, and the fact he's extended the ceasefire indefinitely shows he may have already made that decision. So yeh, I rest my case, the war is over. The consequences of this war however, will be felt for many decades to come.

@commonsenseplay @BillRMcDermott They need to do something for the SBC. buybacks couldn't stop this madness. They were wasted to dilution.

If Bill McDermott @BillRMcDermott really wanted to back up his conviction from the latest $NOW earnings call, he’d be adding here - not just pointing to that Feb 27 insider buy at $104. The stock’s now at $84 - down ~20% and arguably a much better entry. Time to put some of that ~$150M net worth to work, Bill.

@AudriusUrbon @danielisdizzy Let them start with stopping this insane SBC. Needs to show some catalysts too.

@danielisdizzy They should buy their own stocks like crazy $NOW.

$NOW is down 18% after posting +22% YoY revenue growth. The market thinks LLMs will replace software. The CEO of ServiceNow disagrees: • Building your own $NOW with an LLM would cost 10x more • The company will double in the next few years • It’s time to take advantage of these prices and buy He bought $3M of shares at $105. The stock is now at $84. LLMs won’t kill software. They’ll live inside it.

@FerrosCapital @fiscal_ai The greatest investors always start with what it can go wrong. And there are some recent crackles in this fortress (M&A integration issues, expensive Armis, margin compressions).I am a buyer but not here. They can find liquidity from finx

Wall Street’s SaaSpocalypse (4.0 Now!) is the most expensive delusion of 2026. I didn't think I would have to write this out but given the current Stock drop on $NOW , it seems appropriate. Truthfully, I have never been in pure SaaS stocks besides $ADBE and $CRM for a short term years ago. Now, with the current re-rating from over 200$ per share to below 90$, this deserves my attention - and probably other investors too. The whole panic thesis still assumes generative AI lowers the barrier to entry so drastically low, that Fortune 500s will fire all their SaaS vendors and build custom software with prompt engineers. Let's actually audit $NOW (ServiceNow) to dismantle this mathematically and see if there is any merit to it. 1. Massive Enterprise Liability: LLMs are probabilistic engines. In mission-critical Tech, hallucinations can and will break systems. The more you have worked with AI, the more familiar this is to anyone reading this. Equipping an entry-level developer with AI does not magically forge a master architect. Nor does it neutralize the immense gravity of legacy enterprise code. A sprawling architecture so complex that even the senior engineers who built it are usually terrified to alter it. Unrestricted AI is a liability; governed AI can be a weapon. 2. Architectural Gravity: You don't rip out the operational nervous system of a global enterprise with a custom ChatGPT wrapper. ServiceNow’s moat isn't just code; it's decades worth of compliance, security, and integration logic. Rebuilding that foundation requires an army of top-tier engineers. This structural moat applies equally to giants like $MSFT and other Software stocks. The barrier to entry hasn't fallen; the complexity of orchestration has exponentially increased. 3. The Physics of Compute: AI tokens burn massive capital. If you have scaled API infrastructure yourself, you know that token consumption obliterates budgets instantly. Even worse so at enterprise scale. The foundational API providers (Anthropic, OpenAI) simply do not possess data center capacity to support this. Even now, Anthropic is already putting restrictions on newer Models because they simply cannot service everyone, despite saying otherwise. ServiceNow already commands this infrastructure on optimized hyperscaler rails. ServiceNow Chairman and CEO Bill McDermott's first sentences in the last earnings report were: "Since our founding, we’ve built our platform around the work customers need to accomplish. Today, they rely on ServiceNow to be their AI control tower for business reinvention." -> Enterprises demand an orchestration layer and $NOW is delivering. Despite this, algorithms just wiped 16% off the stock over noise. Look at the actual Q1 reality: • Remaining Performance Obligations (RPO) hit a staggering $27.7 Billion (+25% YoY). Enterprises aren't leaving; they are locking in for the next decade. • Now Assist AI customers spending >$1M surged 130% YoY. • The price collapsed to $86 at the time of writting. Against $4.17 Fwd 2026 EPS, the Forward P/E drops to 20.6x. • Against a 20%+ Forward EPS CAGR, the PEG compresses to a flawless 1 (assuming they can keep up their EPS growth). The workflow Software monopolies aren't dying. They are evolving into the ultimate AI toll-bridges. $NOW extracts the tax on the enterprise deployment of AI. Compute is physically so constrained by HBM memory (Check out my $SKHynix thesis), enterprises are forced to rely on highly efficient, centralized platforms like $NOW to orchestrate their workflows. Sooner or later, this negative Sentiment will pass - at least for $NOW. Are you buying the Dip? Data & Chart by @fiscal_ai