StableBread

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StableBread

StableBread

@StableBread

Learn how to analyze, value, and manage your stock portfolio. Built on 10+ years studying top investors/funds, and 500,000+ words of published guides.

Katılım Ağustos 2020
270 Takip Edilen2.1K Takipçiler
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StableBread
StableBread@StableBread·
Every stock you research means rebuilding the same analysis from scratch. Pull financials. Calculate ratios. Build charts. Run comps. Then do it all over again for the next ticker. We spent the last 3 years building an automated stock analysis spreadsheet that eliminates all of that the moment you type in a ticker. youtu.be/EQDQWzrN0Z8?si… Here's what it covers: ↓
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Babyfolio
Babyfolio@babyfolio·
I don’t get why people insist on fighting the trend by loading up on SaaS / Healthcare / Fintech. I see so many still posting about them. Not saying those sectors can’t work. There are definitely quality SaaS names that are unjustifiably beaten down, I’m just not interested in trying to catch them here. I want strong sector momentum behind my investments, and right now these sectors simply don’t have it. Retail favorites like $SOFI and $ZETA are still down YTD, and some of these names have been dead money for years despite all the hype. Trust me, I know the pain personally too. (Thanks $TSLA.) Could they eventually do well? Absolutely. But if you’re looking for outsized returns, weak sector sentiment is usually not where the biggest winners come from. My opinion: It’s completely okay to sell a stock even if you still believe in the company. Opportunity cost is REAL, and sitting in dead money while other sectors run can hurt more than taking the loss.
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leki ⚔️
leki ⚔️@mkfilko·
I always thought the framework was simple. We have 2 big camps, AI both has enablers (memory, semicons, neoclouds, photonics etc) and beneficiaries which are notably SaaS, healthcare and fintech. From a first principles perspective, I think investors will have a higher chance of having higher returns from their capital just by focusing on the enablers as that’s where the value is created. By the time it reaches the beneficiaries, so much competition will exist in terms of how to best utilise A.I to enhance their business. The worst case is AI eating their lunch, as seen with recent SaaS-pocalypse. This is why my portfolio has mostly enablers, unless the area where AI can help can provide value that is unheard of ($MRLN).
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TheBigBerbowski
TheBigBerbowski@TheBigBerbowski·
Not sure if Saturday evening is the right time for this kind of question, but Which semi/cpu/photonics/robotics/any AI related sector stocks you think have the biggest upside from Tuesday till EoY? Help us get rich! I'll start: $NBIS $PENG $OUST $TRT $MU $SNDK $CRDO $MRVL $NOK $PPIH - I genuinely think they have a great chance of continuing their growth.
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StableBread
StableBread@StableBread·
Tomorrow I'm publishing a write-up on $SUUN, an overlooked <$35M solar developer that owns what data centers now wait years to secure: powered, interconnected land. Here's what it covers: → What PowerBank actually does, who runs it, and where its lumpy revenue comes from. → The Nasdaq delisting clock running out on September 29. → Core business' currently weak operations (negative EBITDA, cash burn, ~2.5x leverage, and near-certain dilution ahead). → The data center pivot, and why this theme is different from the Bitcoin and AI agent ones they quietly dropped. → What's really inside that "1 GW+" pipeline (hint: ~85% is early-stage). → The Nodiac LOI and the first real step toward edge data centers on its sites. → What's actually working (ITC safe harboring, the CIM financing mandate, a new IPP stream). → Why the only sane way to value $SUUN is as a call option, and the various price scenarios. 👉 Sub here to read it: newsletter.stablebread.com Thanks to @stepnotonpets for the idea!
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Michael. Z
Michael. Z@MichaelZero10·
The history of the largest U.S. IPOs Suggests that it is not a good idea to Buy Stocks at IPO.🧐 Interesting Data Points (See Table below): - Excluding $CBRS, the chip maker that completed its IPO a few weeks ago, 36 U.S companies have gone public with a market cap > than $15 bn. - Only nine have beaten the S&P 500 index’s returns from their first-day closing price. Besides, just ~17 have generated positive returns at all. - On average, stocks spike on their first trading day but struggle to keep up the momentum overtime. - $SPCX will be the next name in that data set. At an estimated market cap of $1.8 Tn, the company would trade at 93x Sales. - In December 2012, $SPCX crossed the $1 bn Equity valuation threshold. From there, it’s up 1,000-fold and no average investor could get in. Why Stocks are not attractive at IPO ? - Businesses are going public too late and majority of the upside potential is already gone (the average time between founding and going public for the Mag 7 was 6.4 years vs 24 years for $SPCX). - Investment Bankers responsible of the IPOs are incentivised to sell the Stock at Highest Equity Value possible to generate more commissions (fees in % of Enterprise value). Consequently, high valuation makes the investment opportunity less compelling. - Usually the equity valuation is based on an aggressive business plan, which is difficult to achieve. - It is a great opportunity for Management Teams and Historical Shareholders (who bought way earlier) to dump their shares at attractive level. Therefore, the shares would be under serious selling pressure following the IPO, as these peoples are locking profits. What are the Best Practices ? - Wait few quarters/years and let valuation resets before considering adding the stock. - Let the management revises its Business Plan by presenting more conservative expectations. - Wait for a moment of panic or significant stress to Buy the stock at discount (e.g. investors had several opportunities to Buy $META Stock at discount following its IPO in May 2012 at $38). Do you Buy Stocks at IPO?🤔
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Michael. Z
Michael. Z@MichaelZero10·
@StableBread Yes, but the portfolio's currency is Euro, and consequently it is affected by the EUR/USD exchange rate. 🤓
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Michael. Z
Michael. Z@MichaelZero10·
Portfolio Update – 05/23👇🏻👀 • $NBIS – 20.2% ($27.41)🧑‍💻// Up 606%🟢 • $AMD – 10.3% ($112.6) 💻// Up 268%🟢 • $RMS – 9.3% (€1,698.06)📺// Down 5%🔴 • $CRWD – 8.3% ($221.27)🔏// Up 182%🟢 • $ENPH – 8.0% ($32.35) 🌞// Up 97%🟢 • $FICO – 8.0% ($1,021.58)📒// Up 21%🟢 • $SHOP – 6.9% ($57.98)📦// Up 80%🟢 • $NFLX – 5.6% ($17.25)📺// Up 360%🟢 • $DUOL – 4.3% ($168.73) 🧑‍🎓// Down 37%🔴 • $PALO – 4.2% ($145.09)🔏// Up 67%🟢 • $CELH – 3.3% ($21.98)🧃// Up 23%🟢 • $TMDX – 3.2% ($56.97)💟// Up 7%🟢 • $TTD – 2.8% ($31.31)💻// Down 26%🔴 • $RDDT – 2.7% ($130.10)💻// Up 11%🟢 • $DLO – 2.6% ($10.03)💳// Up 8%🟢 • $HROW – 0.4% ($30.77)💳// Up 8%🟢 • YTD Performance: +12.7%🟢 • YTD Nasdaq Comp Performance: +13.3%🟢 • Market Updates:👇 - Inflation was back on investors’ minds as the week began, with government bonds selling-off around the world and yields surging. - Indeed the 30y Treasury yields hit highs not seen since 2007. - However, the S&P 500 index saw its eighth straight week of gains, and the Dow industrials hit a record high on $2 bn in federal incentives for nine quantum computing companies. - On the week, the Dow was up 2.1%, the S&P 0.9%, and the Nasdaq Composite 0.5%. • Complete Divergence between Equity and Bond Markets:📈 - Equity markets are pricing strong earnings acceleration, from AI, cloud and semiconductors. - According to investors AI should drive productivity gains from automation boosting future margins and cash flows. - Consequently central banks will ease monetary policy without causing a deep recession (soft landing). - On the other side, Bond markets are pricing higher for longer interest rates due to sticky inflation. - Besides, large fiscal deficits and heavy government debt issuance pushing yields structurally higher. - Consequently real interest rates may remain permanently above the ultra low post 2008 era. - Historically, Bond Markets have usually been better at spotting macroeconomic turning points but are often too early. • Next Week:🔍 - $A, $HPQ, $MRVL, and $CRM report quarterly results on Wednesday, followed by $COST and $DELL on Thursday. - The Bureau of Economic Analysis will release the personal consumption expenditures price index for April. Economists forecast a 3.8% y-oy increase, three-tenths of a percentage point more than in March. • Additional Details:🔍 - $ENPH (+24%), $CRWD (+12%), and $DUOL (+9%) are the best performing Stocks this week. - $NBIS continues to be so far the best performing stock in the portfolio (+156% YTD). - We believe $HROW and $TMDX are the most attractive Stocks in our portfolio at current level considering the risk-reward potential. How your portfolio is performing?🤔
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TheBigBerbowski
TheBigBerbowski@TheBigBerbowski·
It's funny how many weird offers you get when you get close to 5k followers. I can't imagine how much shit gets offered to those with 100k or more. Sadly, none of the offers are legit. - Half of them phishing attempts - Collabs where you promote their scams - "Good guys" who use you to promote shitcos they pump. I have no plans to ever promote crypto shitcos, fishy websites, or gambling sites. Haram bro. The only promotion I do is the promotion of good investors I meet on twitter and I do it for free. Stay safe folks. 99% of messages received from random people are scams of some sort.
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leki ⚔️
leki ⚔️@mkfilko·
@GabGrowth Anthropics business model mainly is B2B, where most of the money is at. Perhaps that’s the major difference
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Gab
Gab@GabGrowth·
This begs the question… how is Anthropic profitable already? Also, we recently heard news of OpenAI at Adj. Operating Margin of -122%. Is there really such a huge difference in the efficiency between the 2 leading model providers?
Citrini@citrini

It’s already happening.

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Kab X 🇺🇸
Kab X 🇺🇸@KabraxFX·
Maybe you should check out $CAVA's new Salmon this weekend with the girlfriend - she'll love it.
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Jonah Lupton
Jonah Lupton@JonahLupton·
@FrameworkWisely And some people are selling their ai infrastructure stocks because they think this is the top 🤣
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Gaetano
Gaetano@crux_capital_·
In this market, traditional valuation metrics don't work. At least not for anything AI related. Because if you only bought when stocks were 'fairly valued' or 'under valued' you would probably be buying companies where the stock has been deep red week after week. Compared to all these 'overvalued' companies that have be deep green week after week. I think metrics in this space are helpful for getting a sense of the floor. But they have no sense of capturing the ceiling. At least for now... Thoughts? (I am not a value investor)
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