reddit · primary_subject · 0.85
SunCoke Energy, Inc. (NYSE: SXC) - Metallurgical coke.
2026-05-25T11:36:52+00:00
SunCoke is a premier independent producer of metallurgical coke and a provider of vital industrial and logistics services to the steel, coal, and power industries. After experiencing a cyclical downturn throughout 2024 and early 2025, the stock has recently rebounded strongly off the bottom. The primary driver for this is SunCoke's highly defensive take-or-pay contracting model and heavily diversified industrial services portfolio and as a result, the company is uniquely positioned to capitalize on tightening global supplies, making it a highly compelling value and growth play. The thesis for SunCoke, got accelerated today, due to breaking news out of China, reporting the nation's worst coal mine disaster in 17 years. As a result of this tragedy, Chinese authorities are likely to mandate sweeping, immediate safety inspections and operational halts across major coal-producing provinces. Because China is the world's largest producer and consumer of both coal and steel, a disruption of this magnitude immediately curtails the supply of domestic coking coal, which is the raw material for metallurgical coke. This has already caused a surge in global coking coal prices. While SunCoke primarily operates in the United States, the global nature of commodity markets means that constrained Chinese supply forces Asian steelmakers to look elsewhere for metallurgical coke and coking coal. SunCoke's export and logistics capabilities stand to see surging demand. Furthermore, even though SunCoke procures coal to bake into coke, sudden spikes in coal prices are historically passed through to steelmakers, while the margins on the finished coke product expand due to global scarcity. Beyond the immediate macro catalyst, SunCoke is far more than a pure-play commodity business. The company operates through two highly synergistic segments, domestic coke and industrial services. SunCoke typically operates its domestic cokemaking facilities under long-term, take-or-pay contracts, meaning their core steelmaking customers are obligated to purchase the coke produced, which insulates the company from the worst of cyclical downturns. Additionally, the company has aggressively expanded its margin-rich services segment. This includes crucial on-site operations for steel producers such as material handling, mixing services, metal recovery, scrap processing, slag processing, logistics, and marine terminal operations. They also provide comprehensive environmental and ancillary services ranging from drone surveying and sweeper trucks to equipment maintenance. The underlying fundamentals showcase the company's financial resilience, especially when examining their cash generation. Over the trailing twelve months, the company pulled in $156 million in operating cash flow. After covering $78.9 million in capital expenditures, SunCoke still delivered a very healthy $77.1 million in free cash flow. That works out to $0.91 in free cash flow per share, handing investors an impressive 10.77% free cash flow yield. This deep integration into the daily operations of major steelmakers creates a wide economic moat, ensuring sticky, recurring revenue streams that remain highly resilient even when blast furnace utilization rates fluctuate. Insiders have also stepped up open market purchases of the company's shares in recent months, with net additions of 35,295 shares. From a technical perspective, the stock presents an attractive asymmetric risk-to-reward profile. Following a peak near $12.00 in late 2023 to early 2024, the stock endured a prolonged downtrend, bottoming out around $6.00 in early 2025. It has recently broken out of this lower consolidation channel, with the chart showing a clear series of higher lows forming since the beginning of 2026. The sudden fundamental catalyst from the Chinese supply shock is likely the exact trigger needed to push the stock through near-term resistance levels, offering a clear runway back to the $10.00 psychological level and eventually previous highs. If the global economy enters a severe recession, the demand for steel could drop drastically, offsetting the benefits of the supply shock. There is also the risk of temporary margin compression if metallurgical coal prices surge faster than SunCoke can adjust its coke pricing. Finally, the domestic steel industry is highly consolidated, meaning SunCoke relies heavily on a few major players, and any operational issues at partner blast furnaces could negatively impact take-or-pay volumes. Ultimately, SunCoke Energy represents a classic value play that has just been handed a massive macroeconomic growth catalyst. The company's underlying fundamentals were already signaling a turnaround, supported by a robust industrial services division and insulated long-term contracts. Today's supply shock in China fundamentally alters the near-term supply and demand dynamics for coking coal and metallurgical coke. As global steel producers scramble to secure reliable supply chains outside of China, SunCoke is perfectly positioned to leverage its production and logistics terminals for significant financial gain, offering tremendous upside potential at its current valuation. submitted by /u/Leveraged_Lots [link] [comments]
reddit · mention · 0.85
Metamask alternatives for iOS?
2026-05-24T10:25:11+00:00
I have read there are big fees for transferring, staking/unstaking on metamask so I am looking for some good alternatives where I can check my ETH and rETH balance and do stake/unstake. I would prefer a minimalist interface without some promotions or memecoins spam. What would you recommend? submitted by /u/drevmbrevker [link] [comments]
news · primary_subject · 1.00
How META went from an AI winner to a controversial stock - Investing.com
2026-05-24T08:09:13+00:00
How META went from an AI winner to a controversial stock Investing.com
reddit · primary_subject · 1.00
Reddit -6% after Meta launches Forum app for Facebook Groups, seen as Reddit competitor
2026-05-23T14:58:15+00:00
Source: https://www.cnbc.com/2026/05/22/reddit-stock-drops-after-meta-launches-forum-app.html Reddit shares fell almost 6% on Friday on concern that a new app from Meta called Forum could create an alternative avenue for internet users to congregate and create discussion groups. Forum, launched as a test app on Apple’s iOS, is part of Facebook Groups. Analysts at Truist wrote in a note on Friday that it’s “an attempt by the company to compete against Reddit as an online forum for public discourse” and “represents a new threat.” Reddit’s stock is now down almost 40% this year despite a strengthening online ad business. In April, the company reported its seventh-straight quarter of sales growth topping 60%. Meta, meanwhile, reported revenue growth of 33% in the latest quarter. “The risk from this move, if successful, is a gradual erosion of Reddit’s utility for casual users who have less community loyalty to Reddit and simply want answers,” wrote the Truist analysts, who recommend buying the stock. “This would affect non-core Reddit users more than directly logged-in, habitual users.” Reddit didn’t immediately respond to a request for comment. Meta, or Facebook as it was then known, created a separate Facebook Groups app over a decade ago but ended it in 2017. The service still exists as part of Facebook and, like Reddit, hosts discussion groups on all sorts of topics. https://preview.redd.it/uvfl9l6viw2h1.png?width=1583&format=png&auto=webp&s=e4cc8ba8ebef65a19083a0d760839df0ef93a17d submitted by /u/callsonreddit [link] [comments]
news · primary_subject · 1.00
Unpacking Q1 Earnings: Meta (NASDAQ:META) In The Context Of Other Social Networking Stocks - Yahoo Finance
2026-05-23T01:40:00+00:00
Unpacking Q1 Earnings: Meta (NASDAQ:META) In The Context Of Other Social Networking Stocks Yahoo Finance
reddit · peer_reaction · 1.00
Reddit stock drops 6% after Meta announces a Facebook Groups app
2026-05-23T00:57:59+00:00
Earlier today, META announced Forum, a standalone app for Facebook Groups. The Forum app is still being being tested (on Apple iOS). Facebook released an app for Facebook Groups in 2016 but discontinued it in 2017. Some analysts report that the Forum app will be a competitive threat to reddit, because casual redditors "just looking for answers" will use the Forum app instead of reddit. This seems odd to me, because Facebook Groups have existed for 20 years as online venues for Facebook users to engage in topic-specific discussion groups, without impacting reddit. Also, they aren't Q&A sites per se. Sub-reddits aren't Q&A sites either, although they sometimes serve that purpose. More interesting is that RDDT is down 40% so far in 2026, despite 7 quarters in a row of sales growth of 60% or more according to CNBC https://www.cnbc.com/2026/05/22/reddit-stock-drops-after-meta-launches-forum-app.html submitted by /u/FreshOutOfGeekistan [link] [comments]
reddit · primary_subject · 0.85
I may be the worst stock picker there is
2026-05-22T20:27:19+00:00
Well like the title says I may be the worst stock picker there is. Some of the stocks i have owned are: 1000 shares of Nebius sold at a 7k loss at 95 a share. had I hold I could of made 100k 150 shares of CAT made a gain of around 8k, but sold at 390 could of made 50k more 200 shares of dell at 120 cost basis that i sold at 4k loss. could have 150% my investment and made about 35k 2400 shares of NVDA that i sold at 140 could of made 180k more considering its 215 a share. my current 2 stocks with the most holding: MSFT 750 shares down 5% META 200 shares down 12% bought reddit 2 weeks ago at 175. down 3.3k S&P 500 at all time highs. i don't do options, but this is giving me the motivation to do it. I need advice on what are good stocks i can make money of. clearly META and MSFT are the 2 most dogshit stocks right now submitted by /u/Funny-Sprinkles-5674 [link] [comments]
reddit · primary_subject · 1.00
Meta releases a new Reddit-like app called Forum
2026-05-22T14:44:19+00:00
Meta has launched a new app called Forum without fanfare or even an official announcement. It is described as "a dedicated space for the conversations that matter most to you," created specifically for Facebook Groups. Users will need to have a Facebook account to be able to use Forum, and their profile and activity will carry over after they log in with their credentials. So it's not really a website for anonymous conversations like Reddit, but users will be able to use anonymized usernames like they already can on the main Facebook app. It's just that administrators will be able to see their real identities. If anyone was wondering why Reddit stock is down today, this is probably the answer. Threads previously copied Twitter/X, and it seems that it has 120+ millions of DAU (although I've never heard people actually using the app in my surroundings). Will this be a similar story or not? Read More: https://www.engadget.com/2179165/meta-forum-groups-app/ submitted by /u/StocksAction [link] [comments]
reddit · primary_subject · 0.85
Rheinmetall bei Bloomberg heute
2026-05-22T09:14:48+00:00
Investoren, die darauf gewettet hatten, dass die Aufrüstung die europäische Antwort auf den Boom der künstlichen Intelligenz sei, wurden inzwischen auf den Boden der Tatsachen zurückgeholt. Da ein Frieden in der Ukraine phasenweise in greifbare Nähe zu rücken schien, bekamen die Überflieger-Aktien der europäischen Rüstungsindustrie die Schwerkraft zu spüren. Die Anteile von Rheinmetall sind seit ihrem Höchststand im vergangenen Jahr um fast 40 % eingebrochen. Neben enttäuschenden Finanzergebnissen gibt es verständliche Zweifel daran, ob die Nachfrage nach den vergleichsweise teuren Panzerfahrzeugen von Rheinmetall durch die Fortschritte der Drohnenkriegsführung in der Ukraine und am Golf untergraben wird. Gleichzeitig sieht sich das hochprofitable Geschäft mit Artilleriemunition einem härteren Wettbewerb ausgesetzt – eine Entwicklung, vor der ich bereits gewarnt habe. Rheinmetall sackt weiterhin unentwegt neue Aufträge ein, da Europa sich unabhängig vom letztlichen Ausgang in der Ukraine dringend wiederaufrüsten muss. So lag der Auftragsbestand Ende März bei 73 Milliarden Euro (85 Milliarden Dollar), wobei sich die Buchungen bis Ende 2026 voraussichtlich fast verdoppeln werden. Der von Deutschland erwartete massive Kauf von Panzerfahrzeugen wird dabei eine große Rolle spielen. Diese Aufträge in Umsatz umzumünzen, ist jedoch etwas kniffliger. Die Finanzergebnisse von Rheinmetall blieben zuletzt immer wieder hinter den Erwartungen der Analysten zurück. Der Umsatz im ersten Quartal stieg im Vergleich zum Vorjahreszeitraum, der außergewöhnlich stark ausgefallen war, um lediglich 8 %. Das bedeutet nicht zwangsläufig, dass ein Problem vorliegt. Die Aktien des Unternehmens haben sich seit Beginn des Ukraine-Kriegs immer noch mehr als verzwölffacht. Aufträge und Lieferungen im Verteidigungssektor sind von Natur aus unregelmäßig. Die europäischen Regierungen sind noch nicht wieder an eine derart große Zahl von Rüstungsverträgen gewöhnt, und ihre Streitkräfte können die Ausrüstung nicht immer rechtzeitig entgegennehmen. Zudem investiert Rheinmetall massiv, um aus eher handwerklich geprägten Fabriken automatisierte Massenproduktionslinien zu machen. Ein Brand in einer Munitionsfabrik in Spanien bremste das Wachstum zusätzlich. Unerfahrene Rüstungsanleger, die naiverweise mit einer linearen Aufwärtsentwicklung gerechnet haben, erteilen sich hier gerade selbst eine wertvolle Lektion. https://www.bloomberg.com/opinion/articles/2026-05-22/rheinmetall-europe-s-favorite-stock-is-getting-a-reality-check GLTA submitted by /u/WinstonSalemSmith [link] [comments]
reddit · mention · 0.85
Rebalancing and diversifying my portfolio after reaching 1m. Are my picks and allocation trash?
2026-05-22T04:22:17+00:00
This has never worked out well for me. Every time I have sold, it would have been better to hold. Every time I diversify, it would have been better to be concentrated. Luckily, I have never lost money with stocks as my 350k investment over the last 4 years has turned to 1 million this week. Recently, I liquidated my entire AMD position just a few hours before earnings and it obviously ran like crazy, I would have been 100k richer if I just held. After selling AMD, I parked in META temporarily (-1% so far). I held NVDA because I thought it was undervalued with a PEG ratio below 1 and I didn't want to make the same mistake as with AMD. Obviously NVDA dropped slightly after earnings. I decided over the past few days that I would liquidate my entire META and NVDA positions, despite them currently having good valuations to go for lower market cap stocks with higher beta and potential for growth. After selling AMD 2 weeks ago : Ticker Avg Cost / Share Value AMD $114.20 $0.00 NVDA $144.11 $274,197.38 AFRM $72.87 $52,795.35 AIDX $1.43 $62,068.41 UPST $37.22 $79,115.47 META $619.11 $365,113.40 ASPI $8.46 $9,216.58 WELL $4.01 $16.68 OPFI $10.05 $21,657.17 SEZL $62.30 $44,779.38 MU $276.61 $94,566.05 CASH — $7,576.33 TOTAL $1,011,102.21 Current portfolio: Ticker Avg Cost / Share Value NVDA $144.11 $0.00 AFRM $72.87 $0.00 AIDX $1.42 $62,609.55 UPST $32.12 $166,315.57 META $613.67 $206,856.77 ASPI $8.46 $9,217.25 WELL $4.01 $0.00 OPFI $10.05 $21,658.74 SEZL $62.30 $44,782.63 MU $276.61 $94,481.35 NOW $99.35 $281,100.13 NU $13.15 $70,118.72 PSIX $39.09 $50,390.55 CASH — $8,140.48 TOTAL $1,015,671.74 Final portfolio, probably tomorrow: Ticker Avg Cost / Share Value NVDA $144.11 $0.00 AFRM $72.87 $0.00 AIDX $1.42 $62,609.55 UPST $32.12 $166,315.57 META $613.67 $0.00 ASPI $8.46 $9,216.68 WELL $4.01 $0.00 OPFI $10.05 $21,658.03 SEZL $62.30 $44,781.17 MU $276.61 $94,481.35 NOW — $300,000.00 NU $13.15 $70,118.72 PSIX $39.09 $200,000.00 CORZ — $35,000.00 APLD — $11,000.00 CASH — $490.67 TOTAL $1,015,671.74 Luckily for me, selling has no tax impact for me outside of 123k help in a retirement account taxed upon withdrawal, the rest is in a tax-free account. As the title says, what do you guys think? Am I making a big mistake? Is my allocation or my picks bad? There's still time to walk it back since I haven't suffered any losses yet! submitted by /u/RainieY [link] [comments]
reddit · primary_subject · 0.85
Rheinmetall: Barclays hebt auf Buy mit 2.035-Euro-Ziel
2026-05-21T18:01:15+00:00
"Für 2026 stellt Rheinmetall einen Auftragseingang von rund 80 Milliarden Euro in Aussicht. Die Bundeswehr beschafft unter dem Projektnamen "Arminius" bis zu 3.000 Boxer-Fahrzeuge im Gesamtwert von rund 40 Milliarden Euro. Auf Rheinmetall würden davon etwa 22 Milliarden Euro entfallen. Das Arminius-Volumen würde die laufende Prognose bei Weitem übersteigen. Kommt der Vertrag noch in diesem Jahr, dürfte das die Bewertungsdebatte rund um die Aktie neu entfachen." Für alle die Rheiner noch im Herzen tragen oder irgendwie investiert sind. Ich habe gerade ne neue erste Tranche in nen Call für 12/27 mit Ziel 1600 gekauft. 1200 hat heute gut gehalten. Kann natürlich trotzdem nochmal dippen aber der Markt hat das Asset schon übertrieben abgestraft (und tut es immernoch). Go big or go home.., wie immer.. Keine Analbehaarung. submitted by /u/Dockerstar1995 [link] [comments]
reddit · mention · 1.00
big tech's $350B AI capex is returning about 18 cents on the dollar
2026-05-21T16:24:50+00:00
I pulled Q1 2026 10Qs for $MSFT, $GOOGL, $META, $AMZN, and $AAPL. Combined capex guidance is roughly $353B. Identifiable AI revenue across all five? About $61.5B trailing. That's $0.18 per capex dollar. Honestly Meta was the worst to isolate because their AI value is buried in ad optimization. I ran the filings through MuleRun to get structured data then spot checked myself. Microsoft at 27% looks solid thanks to Copilot bundling. Amazon committing $105B at only 13% is the number that actually worries me. Positions: long $MSFT, $GOOGL. submitted by /u/Simple_Response8041 [link] [comments]
reddit · primary_subject · 0.85
Why is AppLovin Not Talked About More?
2026-05-21T12:34:14+00:00
If you’re a value investor you’re looking at SaaS shitcos, some of which are getting priced as if they will be obliterated by AI. If you look at what metric is king, you’d obviously want to see cash flow generated. But what about stock based compensation? That’s an expense too… Strip out stock based compensation as an expense (which it is and what SaaS bros try to shy you away from) and AppLovin looks really cheap. They are an AI winner being priced as an AI loser. They are also growing revenue at 50% YoY and REDUCING share count quarter over quarter. We are talking at least $4B in buybacks a year, eliminating 2-3% of float. Your favorite Mag7s like META, GOOGL, and AMZN are all negative on this multiple. Why invest in a company bleeding cash in the AI buildout when you can buy a company that spends 0 on CapEx and is a winner? submitted by /u/PinPsychological82 [link] [comments]
reddit · mention · 0.85
NVDA Quarterly Revenue $81.6 billion (up 85% YoY)
2026-05-20T20:23:19+00:00
NVDA Quarterly Results * Revenue = $81.6 billion (up 85% YoY) * Net Income = $58.3 billion (up 211% YoY) * Earnings Per Share = $2.39 (up 214% YoY) NVDA Next Quarter Outlook * Revenue = $91 billion (plus or minus 2%) * Gross Margin = 74.9% (plus or minus 0.5%) * Operating Expenses = $8.5 billion NVDA Quarterly News : * Recognised as Google Cloud Partner of the Year in two categories. * Collaborating with energy leaders to accelerate power‑flexible AI factories to fortify the grid. * Invested $2 billion each in Marvell, Nebius, Coherent and Lumentum. * Announced a multi-year partnership with META spanning on-premises, cloud and AI infrastructure. * Launched BlueField-4 STX storage architecture, Vera CPU and Space-1 Vera Rubin Module. * Expanding AI-RAN partnerships with global telcos. Position: Long NVDA (5 years). Not financial advice. submitted by /u/Not69Batman [link] [comments]
reddit · primary_subject · 1.00
Gibt es jemanden, der noch an Meta glaubt?
2026-05-20T18:35:55+00:00
Was muss passieren, damit die Aktie wieder Richtung 800 geht? Was muss Meta tun, um wieder lukrativ zu werden? submitted by /u/FloxyToxy [link] [comments]
reddit · mention · 1.00
$META DD - Why you should bet on the lizard king
2026-05-20T15:51:56+00:00
Position: 1900 shares Alright regards, gather round. While you apes are gambling on $BOT and buying $MU calls at ATHs, I've been quietly stacking META WHY HEDGE FUNDS WON'T BET ON ZUCK (AND WHY YOU SHOULD) Here's the part your financial advisor won't tell you because he's busy losing your IRA in covered calls: Zuck has ABSOLUTE VOTING CONTROL. He is the only Big Tech CEO who literally cannot be fired. Not Pichai. Not Cook. Not Nadella. Just Zuck and his dual-class share structure. Hedge funds HATE this. They can't activist-investor him. They can't threaten the board. They can't cry on CNBC about "shareholder value." so they underweight the stock. That's why META traded at a huge discount when Zuck was burning cash on the metaverse, remember the stock at $90 and wished you got in? I'll be real, the metaverse did fail and that's because Zuck is just an autistic lizard king, he's not a visionary that can build new products. BUT he is the GOAT of corporate plagiarism. This man saw Snapchat Stories in 2016 and cloned it into Instagram Stories so hard that Evan Spiegel is still crying to this day. Then TikTok showed up and started eating everyone's lunch, so Zuck whipped out Reels, jammed it into all his apps and now your aunt watches AI slop for 4 hours a day. Now apply this to AI. OpenAI and Anthropic are out there doing the HARD part: frontier research, RLHF, alignment, figuring out which architectures actually scale. The race is not won by whoever has the best AI model first. It's won by whoever DISTRIBUTES it to the most humans. THE AI CAPEX TRADE: HEADS I WIN, TAILS YOU REGARDS LOSE Capex now $125-145B for 2026. Market shat itself and dropped META 7% AH because big number bad and anyone CAN tweet "OvErSpEnDiNg." Scenario 1 Meta builds a SOTA model. They jam it into the ad stack. Existing AI tools already boosted conversion rates 6%. Imagine what frontier-level intelligence does to ad targeting across 3.56B users. Revenue growth doesn't just continue, it ACCELERATES. Print machine goes brrr. it's a brand new business segment overnight. Scenario 2 The model is mid but AI Infra is valuable. Cool. They have $145B of GPUs and data centers. You know what those are worth on the secondary market? Ask $IREN, $NBIS, $CRWV, the companies you regards are buying that are built on RENTING compute. Meta could pivot to being a neocloud and the assets still print. It's like buying Manhattan real estate and worst case you become a landlord. There is NO universe where BILLIONS of frontier compute is worthless. The bear case is "Meta builds a multi-billion dollar infrastructure business on the side." Not financial advice. submitted by /u/ThatGuyInYourRoom [link] [comments]
news · primary_subject · 1.00
Coinbase Adds META and DRV to Its Listing Roadmap - Cryptonews.net
2026-05-20T06:29:06+00:00
Coinbase Adds META and DRV to Its Listing Roadmap Cryptonews.net
reddit · primary_subject · 0.85
The Hidden Supply Chain Behind AI: Why Metals May Become the Real Constraint
2026-05-19T18:51:26+00:00
AI’s Next Bottleneck Might Not Be GPUs. It Might Be Copper, Silver, and Gallium. I have been digging into the physical supply chain behind AI infrastructure, and my conclusion is pretty straightforward: AI is not just a software trade. It is not just a semiconductor trade. It is not even just a power-grid trade. At scale, AI is a metals trade. The market loves talking about GPUs, Nvidia, hyperscalers, power contracts, cooling systems, and data center capex. That is all real. But every one of those layers sits on top of a physical metals base that looks increasingly constrained. The main metals I focused on are copper, silver, gold, zinc, gallium, rare earths, aluminum, lithium, nickel, cobalt, and a group of smaller critical minerals like germanium, indium, tantalum, arsenic, fluorspar, platinum, and palladium. My read is that the AI metals problem breaks into two categories: Volume bottlenecks: copper and silver. Chokepoint bottlenecks: gallium and rare earths. Copper is the biggest one. A single 100 MW hyperscale data center can require roughly 27 to 47 tonnes of copper per megawatt. That works out to about 2,700 to 4,700 tonnes of copper per facility, before counting the extra grid infrastructure around it. That copper goes into power cables, busbars, connectors, transformers, switchgear, grounding systems, heat exchangers, substations, transmission equipment, and cooling infrastructure. Copper can represent up to 6% of data center capital expenditure. Global copper demand was about 28 million tonnes in 2025 and is projected to reach 42 million tonnes by 2040. That is a roughly 50% increase. AI data centers alone are forecast to consume an average of 400,000 tonnes of copper per year over the next decade, with demand peaking around 572,000 tonnes in 2028. Longer term, data centers could consume up to 3 million tonnes per year by 2050, raising their share of global copper consumption from about 1% today to as much as 7%. The problem is supply. The copper market is already tight. Forecasts for the 2025 refined copper deficit range from 124,000 tonnes to 304,000 tonnes, depending on the source. For 2026, analyst consensus also points to deficit conditions. Longer term, the numbers get more serious. The IEA projects a possible 30% copper supply deficit by 2035, equal to roughly 6 million tonnes annually. S&P Global is even more aggressive, projecting a possible 10 million tonne shortfall by 2040. This is not easy to fix. New copper mines take an average of 17 years from discovery to first production. Chilean copper ore grades have fallen about 40% since 1991. Exchange warehouse inventories were only about 661,021 tonnes as of late 2025. That was up year-to-date, but still historically tight relative to demand. Copper prices already touched about $11,952 per tonne in December 2025, up roughly 35% year-to-date. BloombergNEF forecasts a possible peak around $13,500 per tonne in 2028 as demand keeps outrunning supply. My view: copper is the cleanest “AI infrastructure bottleneck” metal. Not because AI is the only demand driver, but because AI is arriving at the same time as EVs, grid upgrades, renewables, electrification, defense reshoring, and industrial power demand. That is the problem. Too many megatrends are leaning on the same metal at the same time. Silver is the second major volume issue. Silver is the most electrically conductive metal. In AI infrastructure it shows up in switchgear, circuit breakers, silver-plated copper connectors, busbars, thermal interface materials, heat exchangers, and electronics. There is also the solar angle. Each solar panel used to power data centers contains about 20 grams of silver. A 500 MW solar array for a hyperscale facility can require about 300 tonnes of silver. Total silver demand reached 1.16 billion ounces in 2024. Industrial fabrication hit a record 680.5 million ounces, which represented about 59% of total silver consumption. A decade ago, industrial use was closer to 50% of the market. Electrical and electronics demand alone consumed 460.5 million ounces in 2024. Solar photovoltaic demand added another 197.6 million ounces. The silver market has now been in structural deficit since 2021. The 2024 deficit was 148.9 million ounces, or around 4,630 tonnes. The projected 2025 deficit is 117.6 million ounces, smaller than 2024 but still the fifth consecutive year of shortfall. Cumulative deficits from 2021 through 2025 total nearly 800 million ounces, or around 25,000 tonnes. Mine production in 2024 was only 819.7 million ounces, up just 0.9%, even with strong demand. The important detail is that about 70% of silver is produced as a byproduct of copper, lead, and zinc mining. That means silver producers cannot simply ramp supply in response to higher prices the way a pure-play commodity market might. Inventories are also not comfortable. COMEX silver inventories reportedly fell from around 150 million ounces to about 46 million ounces. LBMA vaults hold roughly 325 million ounces of available metal. Silver prices traded above $80 per troy ounce in January 2026, up around 170% year-over-year. My view: silver is not just a precious metal story anymore. Industrial demand is now the core variable. AI, solar, electronics, grid equipment, and electrification are pushing silver further into a structural deficit market. Gold is different. Gold is not a shortage story. It is more of a cost-pressure story. AI processors use 2 to 3 times more gold per unit than traditional processors because advanced packaging requires better signal integrity and reliability. Gold is used in high-frequency interconnects, semiconductor packaging, bonding wire, via metallization, trace plating, and die attach materials. Electronics-sector gold consumption reached about 270.4 tonnes in 2025, roughly flat versus 2024. Total technology and industrial gold demand was around 222.8 tonnes in 2025. East Asia accounts for about 68% of electronics gold demand because semiconductor supply chains are concentrated in China, Taiwan, and South Korea. Gold does not look like an acute bottleneck because total global gold demand was above 5,000 tonnes in 2025, with most of that going into investment and jewelry. But rising gold prices are pressuring component manufacturers and pushing more R&D into thrifting and substitution. My view: gold does not stop the AI buildout, but it adds cost to the hardware stack. Zinc is not the main AI bottleneck. Zinc matters because it protects steel structures from corrosion and because zinc ores are a primary source of germanium. Germanium is important for fiber optics and high-speed transistors. Global refined zinc demand rose 1.9% in 2025 to 13.86 million tonnes. The zinc market posted a 33,000 tonne deficit in 2025, down from a 69,000 tonne deficit in 2024. Mine production increased 5.4% in 2025, led by Australia, China, India, Peru, and the DRC. Inventories fell by 77,000 tonnes to about 739,000 tonnes by the end of 2025. But 2026 is expected to swing to a 271,000 tonne surplus as Chinese and Norwegian smelting capacity expands and demand growth slows to around 1%. My view: zinc itself is not a critical AI constraint. The more important zinc-linked issue is germanium, because zinc ores are a key source and China dominates germanium refining. Gallium may be the most important small metal in the AI stack. Gallium is critical for gallium nitride, or GaN. GaN power devices are used in high-efficiency AI data center power systems. They enable higher power density, less wasted energy, and more efficient 48V DC-DC conversion. GaN devices are about 5x more conductive than silicon. GaN power ICs can achieve power densities above 137 W/in³ with efficiencies above 97%. Without GaN, AI servers run hotter, consume more electricity, and need physically larger power supplies. The power GaN device market is projected to grow from $126 million in 2021 to $2 billion by 2027, a 59% CAGR. The IEA projects that data center buildout could increase global gallium demand by up to 11% by 2030. The issue is not demand size. The issue is control. China controls about 98% of global gallium production. Gallium is mainly produced as a byproduct of aluminum smelting. After China imposed export restrictions on gallium, prices outside China reportedly doubled within five months. USGS analysis suggests that a 30% disruption in gallium supply could cause a $600 billion reduction in US economic output, equal to more than 2% of GDP. My view: gallium is not a volume bottleneck like copper. It is worse in a different way. It is a chokepoint metal. You do not need enormous tonnage for it to matter. You just need the wrong country to control the wrong step of the supply chain. Rare earths are the other chokepoint. Neodymium and dysprosium are used in high-performance permanent magnets for data center hard disk drives and cooling system motors. Hard drives can contain around 15 to 20 grams of neodymium per drive. Cerium oxide is used in chemical mechanical polishing of semiconductor wafers at advanced nodes, including 5nm and below. Cerium oxide accounts for 40% to 50% of global cerium production. Lanthanum and erbium are used in optical fiber amplifiers for high-speed data transmission between data centers. The IEA projects that data center buildout could boost global rare earth demand by about 3% by 2030. A mid-scale data center may need less than 100 tonnes of rare earth oxides per year, which is not massive by tonnage, but the operational impact of supply disruption is large. China produces about 60% to 70% of global rare earth oxides and controls about 85% of heavy rare earth separation and purification capacity. In October 2025, China imposed new export licensing rules requiring foreign buyers to disclose end-use applications. By late 2025, China added five more rare earths to its export control list. The US imported over 13,600 metric tons of rare earths in 2024. MP Materials’ Mountain Pass mine produced about 45,000 tons, but around 80% was exported to China for refining because domestic processing capacity is still limited. MP’s Texas magnet facility is projected to produce about 1,000 tonnes of NdFeB magnets annually by 2027. China produced around 300,000 tonnes of NdFeB magnets in 2024. The US Department of Defense has invested about $439 million since 2020 into domestic rare earth supply chains, with a target of covering defense demand by 2027. But the US still has no heavy rare earth processing capability and only limited light rare earth processing capacity. My view: rare earths are not about raw mine output alone. Processing is the choke point. The mine does not solve the problem if the refining step still runs through China. Aluminum is important, but not a major constraint. AI data centers use aluminum in server racks, cooling units, radiators, HVAC systems, and structural panels. But aluminum is not generally used for electrical cabling inside data centers because copper has better conductivity. AI data centers are expected to need around 800,000 tonnes of aluminum by 2030. That is only a little over 1% of current global production in a roughly 75 million tonne market. My view: aluminum demand from AI is real but manageable. It does not look like copper. Nickel, cobalt, and lithium matter through batteries. Data centers use lithium-ion battery systems for UPS backup power and grid stabilization. The data center lithium-ion battery market is projected to reach $17.69 billion by 2034. The 2024 chemistry split was approximately: LFP: 41.2% NMC: 28.4% LTO: 12.5% LCO: 10.3% Other: 7.6% LFP dominates because it is safer and thermally stable. NMC is preferred where higher energy density is needed. My view: lithium, nickel, and cobalt are relevant to AI, but data centers are still a marginal demand driver compared with EVs. The bigger issue is geographic concentration, especially DRC cobalt and China-linked lithium processing. The smaller critical minerals are where US import dependence gets ugly. Some examples: Tantalum: used in capacitors for server boards. US import dependence: 100%. Germanium: used in fiber optics and high-speed transistors. US import dependence: 100%. China controls over 60% of refining. Indium: used in semiconductors and displays. US import dependence: 100%. Arsenic: used in compound semiconductors like GaAs. US import dependence: 100%. Fluorspar: used in chip manufacturing etching gases. US import dependence: 100%. Platinum: used in hard disk drives and capacitors. US import dependence: 85%. Palladium: used in similar electronics applications. US import dependence: 36%. This is the part of the AI trade that looks under-discussed to me. The US can throw money at fabs. It can subsidize chips. It can build data centers. It can sign power contracts. But if the upstream metal, refining, and processing chains are controlled elsewhere, then the bottleneck just moves upstream. My overall conclusion: AI infrastructure faces a two-front metals problem. On the volume side, copper is the biggest constraint. Silver is also structurally tight and already in a multi-year deficit. On the chokepoint side, gallium and rare earths are the highest-risk materials because China controls dominant production or processing capacity. Gold adds cost pressure. Zinc is indirect through germanium. Aluminum is manageable. Lithium, nickel, and cobalt matter, but more through battery systems than core AI compute. The market keeps treating AI like a clean digital story. I think that is incomplete. At the user level, AI feels like software. At the infrastructure level, AI is power plants, transmission lines, transformers, cooling systems, server racks, semiconductors, interconnects, batteries, magnets, and a lot of mined material. My blunt take: the AI boom does not just need more GPUs. It needs more copper, more silver, more gallium, more rare earth processing, more refining capacity, and more secure supply chains. That makes critical minerals one of the more obvious second-order AI trades. Not every miner benefits. Not every explorer becomes valuable. A lot of junior mining names are garbage. But the macro setup is real. If AI demand keeps scaling the way hyperscalers are projecting, the metals layer is not optional. It is the base layer. submitted by /u/trickytrixie303 [link] [comments]
reddit · primary_subject · 0.85
Flat index but risky stocks dumping. Bad news for longs.
2026-05-18T14:21:40+00:00
Big corrections always start with risky high beta assets dumping quietly first. Markets are never flat, if it's not going up, it's going down. BREAKING: HUGE CHINA SLOWDOWN AND META LAYOFFS LOOMING AS AI REPLACES WHITE COLLAR JOBS China’s growth slowed across the board in April with investment resuming declines, calling into question the government’s reluctance to add stimulus to the economy as a global energy crisis hits factories and consumers across the world. "Official data on Monday painted a picture of an economy where booming exports no longer offset deteriorating consumption at home, prompting analysts at banks including Nomura Holdings Inc. and Societe G enerale SA to urge bolder measures in support of growth." China credit crunch? submitted by /u/Ragebait_Destroyer [link] [comments]
reddit · primary_subject · 0.85
Wasserstoffaktien?! (Oder doch lieber Rheinmetall Psychose)
2026-05-15T05:17:09+00:00
Guten Morgen, Ich wundere mich wieso hier niemand über Wasserstoffaktien spricht. Einige haben im letzten Jahr bereits 5x gemacht. Und Tendenz ist weiter steigend. Stattdessen wird wie besessen auf Rheinmetall, Novo usw rumgehackt... Fuelcell Energy, Plg Power, SFC Energy...alles Aktien die z.z. echt abgehen. Insbesondere der Irankonflikt zeigt, wie unausweichlich Alternativen zu Öl und Gas sind. submitted by /u/Adventurous-Lychee98 [link] [comments]
reddit · mention · 1.00
$NBIS the most misunderstood AI company, and also the next AI company to go to the moon
2026-05-15T00:26:45+00:00
Since my last post on $RKLB, it has doubled. https://www.reddit.com/r/wallstreetbets/s/W9CJ0XQHsw Today I present to you, yet another found led AI company that is completely being ignored by the market. $NBIS Earlier this week, Nebius printed Q1 2026 before the open. The stock is up roughly 30 percent since, and I believe this is about to run for weeks like all the other AI companies after posting hot earnings (think $MU $SNDK $NVDA), Revenue grew 684 percent year over year. Annualized run rate for the core AI cloud business reached $1.9 billion. With over 9 billion cash on hand, 30 billion in deals from $META and more earned in the Last 3 months https://www.ctvnews.ca/business/article/nebius-signs-ai-infrastructure-deals-with-meta-worth-up-to-us27-billion-over-5-years/ This company is completely undiscovered and untouched (until this week, and I believe people will fomo in once they realize what $NBIS actually is) This isn’t some shitty data center stock like Corewave $CRWV or $IREN This is AI training factory that is TOP notch, with their clickhouse software being used on OpenAi and more Not to mention we have top notch management, with our ceo being the founder of a large company in Russia until he was kicked out for speaking out against the war. He then started his company Nebius AI P/E ratio is 80 which is not terrible, but does not include their tens of billions of revenue coming in the next 5 years via contract. TLDR: Stock was misunderstood by most, is a leading AI training company used by OpenAi, Meta and more, people are now realizing that after their latest earnings and I think it’s gonna have a huge explosion up in the next few weeks like the other AI companies ($SNDK $MU ETC) even the chart is mid breakout. Position: 205 Shares (I’m a brokie, don’t hate) submitted by /u/Independent-Chef-169 [link] [comments]
reddit · primary_subject · 0.94
META long
2026-05-14T10:39:54+00:00
5er Hebel. Nicht innerhalb weniger Tage, aber der kommt Männer submitted by /u/cryptoxu [link] [comments]
reddit · primary_subject · 1.00
Ich hätte alles heute für möglich gehalten, außer dass META steigt 🤞🏻
2026-05-13T16:38:26+00:00
submitted by /u/Unlucky_Assistant770 [link] [comments]
reddit · primary_subject · 0.85
Facebook-Post zu KI-Steuereinnahmen lässt südkoreanische Börsen zittern
2026-05-13T15:40:12+00:00
Heute auf Golem gelesen: https://www.golem.de/news/buergereinkommen-suedkoreas-ki-debatte-erschuettert-die-boerse-2605-208607.html Zitat: "Kim Yong-beom, der Politikchef des südkoreanischen Präsidenten, hat einen Facebook-Beitrag veröffentlicht, in dem er vorschlug, Bürger an den Steuereinnahmen des KI-Sektors zu beteiligen. Als Hauptquellen nannte er laut Korea Times Samsung Electronics und SK Hynix. Der Kospi-Index der Börse brach daraufhin um bis zu 5,1 Prozent ein, erholte sich aber und schloss mit einem Minus von 2,3 Prozent. Samsung verlor 2,3 Prozent, SK Hynix 2,4 Prozent. Ein Sprecher des Präsidentenamtes betonte später laut Medienberichten, Kim habe seine persönliche Meinung geäußert und keine offizielle Regierungsposition." Da fragt man sich, was wohl anderswo (USA, Europa) an den Börsen los wäre, wenn sich so eine Maßnahme abzeichnet? Elon, Sam und andere Tech-Bros fantasieren ja gerne mal von bedingungslosen Grundeinkommen, ohne über die dafür wahrscheinlich notwendigen Steuern für KI-Betreiber zu sprechen... submitted by /u/RedKnarf [link] [comments]
reddit · primary_subject · 0.85
Rheinmetall als Langzeitinvestment sinnvoll?
2026-05-13T14:36:55+00:00
Würdet ihr Rheinmetall nachkaufen, wenn ihr nicht auf den schnellen Gewinn aus seid, sondern das Ganze eher als langfristiges Investment seht? Also eher 5-10+ Jahre? submitted by /u/TelevisionHopeful863 [link] [comments]
reddit · primary_subject · 0.85
We literally tanked over a Korean facebook post btw
2026-05-13T01:47:15+00:00
Ok fuck you guys Today at 8:30 CPI dropped. Algos read it, the 1Y literally ticked down because it was in line, and the market collectively decided not to give a shit EXCEPT - you assholes couldn’t shut the fuck up about Intel and Micron and Sandisk instead of just winning quietly, so when they were all red in premarket (BEFORE THE CPI PRINT), the journalists naturally ignored trying to find the actual reason for this and took to their gay bear cuck chairs instead. The FUD machine started. Literally even WSB started filling up with "inflation fears" posts from CNBC But tell me what about the CPI actually said that we didn’t already know - if we were gonna rocket for a month at oil being at $100 already, why the fuck would we sell off after getting a print confirming oil is at $100. Thank you I can read The truth is that a South Korean “policy adviser” named Kim Yong-beom posted on FACEBOOK about a hypothetical “AI tax” on Korean memory chipmakers. He tanked his own stock market within seconds of posting. Meanwhile his own party walked it back explicitly calling it “personal opinion”, and the opposition demanded him fired. AKA this was the Korean equivalent of “tariff on, tariff off”. KOSPI went from ATH to -5% in about 30 minutes before reversing to close at -2.3%. https://preview.redd.it/x8wucru77t0h1.png?width=728&format=png&auto=webp&s=c765b186c7072e947056effac95f44040887d010 Did literally any news station report this? Obviously not. Every headline today: “Stocks fall on hot CPI” “Markets reprice rate hikes” “Inflation fears spark hawkish Fed fears” A 5 second Google or clanker search would show you the 1Y bond moved by 2bps. AKA no one gave a shit. It’s like when the PayPal tards get horny over a 0.7% increase and say “WE’RE SO BACK” while SNDK goes 5000% in 1Y. But of course the market didn't care, Micron opened red and then it stayed red because every single person read the headlines and collectively decided "yes, fuck wallstreetbets, this shit cannot be real, the AMD millionaires are fake" and sold off all our positions in sync. I can't even blame them. I am now 200 shares poorer in Micron than I would have been if we didn’t crash 10% for no fucking reason before doing a V because I got margin called. Can't you regards just win quietly instead of posting millionaire screenshots? Chief policy staff's idea of 'national dividends' using AI profit triggers concerns - The Korea Times Top South Korea Policymaker Floats Paying All Citizens a Share of AI Profits - Bloomberg EDIT: To the guy who thinks 200 shares was my entire position. Fuck you https://preview.redd.it/td6kjri5bt0h1.png?width=574&format=png&auto=webp&s=923ddb6c2e10a333bc272f082dbb1b52fb771ae3 And yes my broker sold off the 200 at $708 submitted by /u/Prongs007 [link] [comments]
reddit · mention · 1.00
Software Long MSFT Meta
2026-05-12T17:02:11+00:00
So Affenfreunde wollte euch kundtun das ich jetzt volle lange Hosen in Software drin bin. Meta Microsoft sehen chartechnisch sowohl fundamental sehr stabil aus und haben eine inverse Korrelation zu Halbleitern welche (vermutlich und hoffentlich) bald korrigieren. Mäßig Geld fließt aus Halbleitern raus dafür wieder I. Andere Assets rein Spiele das Ganze langfristig und werde vermutlich bis zu den Q2 Earnings halten Benutzt niedrige Hebel sonst wird das ein Gruppenknallen wenn ich falsch liege und Affen haben bestimmt haarige Schwänze. Keine Analbehaarung ! submitted by /u/Tackelol [link] [comments]
reddit · comparison · 0.85
Fuck Al - I have a list of energy/industrials companies but each one has their flaws. Would value your perspective.
2026-05-12T13:09:45+00:00
Of course I could invest into Google or Nvidia, but I am open to slightly more risk, and those major firms are already overcrowded + there is a huge rotation of capital into AI/semi/memory. Sure, the market can stay irrational far longer than I can stay solvent but Im buying shares not options, and there isnt only AI industry out there. Here is the list: CEG - ran a lot already plus worse performance in bull markets, politically sensitive and a lot of good news is already priced in, beat Q1 massively Vistra - huge upside, but margin collapse in 2025 is concerning, more energy mix RHM - defence firm with huge upside, free cash flow guidance came in below analyst expectations, missed guidance 3 or 4 times in a row, 42% down from ATH, I perceive as a contrarian move, produces heavy machinery while wars are now based on drones, JPM cut their targets CSG - czech defence firm, 52% down from IPO due to a short-seller report, which they know dismissed META - 20% from ATH, Rev/margins and other metrics look good, increased CAPEX, P/E low for a tech firm, lost money on VR and ads constitute 97% of revenue so not a lot of diversification RDDT - 30% from ATH, I think it is perceived as an AI-adjacent firm due to the contracts with OpenAI (which have low value and Im waiting for an update), very strong rev and margins, my problem is that Reddit is not as popular as Facebook/Instagram and its harder to mix ads with the text-based content LHX - L3Harris - defence firm, revenue mix (Space & Mission Systems, Communications & Spectrum Dominance, Missile Solutions), low upside? submitted by /u/Resident-Paint-8318 [link] [comments]
news · primary_subject · 1.00
META_TITLE_QUOTE - Yahoo Finance
2026-05-12T07:15:12+00:00
META_TITLE_QUOTE Yahoo Finance
reddit · primary_subject · 1.00
Selling NVDA to buy META
2026-05-11T23:03:44+00:00
I am holding an NVDA June 2027 LEAPS that is up around 60% at the moment. I am thinking about selling and exchanging that for a META 2028 LEAPS as I can have longer expiration and better risk rewards as META has smaller market cap and is pricing in a good amount of negative sentiment. Question is, how should I time this? I think NVDA has some more time for its uptrend and META has more pain before turning. My target entry for META is around 20x earnings which is the 640-660 range. I’m not in a big hurry as I sold 40dte puts on META at my target price and collect theta in the interim. But just want to hear what yall would do to improve execution. submitted by /u/iloveaccounting64 [link] [comments]
reddit · primary_subject · 0.75
Rheinmetall und Telekom kooperieren bei Drohnenabwehr im zivilen Bereich
2026-05-11T10:21:48+00:00
Telekom Morgens übrigens earnings, nicht vergessen. 30€ wieder incoming. submitted by /u/Popular_Tomorrow_204 [link] [comments]
reddit · primary_subject · 0.85
Für konservative Trader könnte jetzt der Moment sein um von Rheinmetall zu Novo Nordisk zu wechseln
2026-05-11T07:55:16+00:00
Jeweils Trendwechsel. Rheinmetall geht in den Abwärtstrend und Novo Nordisk wechselt in einen starken Aufwärtstrend aufgrund starker Geschäftszahlen. submitted by /u/Retirement_or_Lambo [link] [comments]
reddit · primary_subject · 1.00
Denkt ihr Meta holt auf und ich sollte mehr reinhauen oder den Verlust akzeptieren?
2026-05-11T06:30:08+00:00
Ich denke Meta ist aktuell ziemlich zurückgelassen worden im Vergleich zu den anderen MAG7 so wie Alphabet noch vor ein paar Monaten. Bis wann bzw denkt ihr es gibt überhaupt ein Aufholen von Meta? submitted by /u/StimlatStonks [link] [comments]
reddit · primary_subject · 0.85
Tracked my buys this year. Am I setting up for underperformance?
2026-05-10T10:06:42+00:00
Hey all, did a review of all my purchases YTD and here’s what I’ve been accumulating: V, MA, MSFT, META, UBER, SHOP, SoFi, Grab, TOST, CRWD, PANW, ZS, DT, CCJ, BWXT Meanwhile I’ve been slowly booking profits on semiconductors in small chunks since January. YTD I’m sitting between S&P 500 and Nasdaq 100 performance, but as semis keep shrinking as a proportion, I’m wondering if I’m giving up my alpha engine. Do you think this portfolio mix can keep up, or am I slowly walking into index underperformance? submitted by /u/captainarmenia9 [link] [comments]
reddit · primary_subject · 1.00
Could Meta be a fad?
2026-05-09T18:19:48+00:00
This may get a bit sociological, but when I’m looking at the longterm health of Meta, I wonder whether Facebook/Instagram may fall out of popularity. In discussions of Insta/FB, I see a prevailing opinion that: “they kinda suck but they’re ingrained in society forever” and I wonder whether this is actually true. Is it not entirely possible that people will increasingly recognize the negatives of posting/scrolling (thus seeing ads) and just decrease their use substantially? With increasing data that FB/Insta are not good for mental health and tend to suck valuable time, it seems like a “collective action problem” where individuals feel it would be best if everyone quit but negative consequences for early individuals quitting prior to a mass exodus. And isn’t it possible that there will eventually be a cultural zeitgeist that feels using Insta/FB is just cringe and not cool? I deactivated my accounts a few years ago while retaining Messenger (thus distant friends and family could theoretically contact me) and after a short withdrawal period I have no desire to post or scroll there again. So my question is whether Meta actually has a cultural moat for 15 more years or if it’s entirely possible that people will spend less and less time there, and what once seemed ingrained and eternal will be seen as an early 21st century fad. submitted by /u/MediocreDesigner88 [link] [comments]
reddit · primary_subject · 0.85
Szenarien Rheinmetall
2026-05-09T09:34:42+00:00
Disclaimer: Ich bin Rheinmetall long und dieser Inhalt wurde von Gemini zusammengestellt. Ich halte ihn als Grundlage für eine Diskussion teilenswert. Hier noch ein Affe, damit der Beitrag besser ins Forum passt: _＿_ ／: : : : :＼ _＿___ /.: :／⌒ヽ : :.. ,.:'": : : : : :ヽ. ！: :ｉ }.: .:} /／⌒ヽ '⌒ヽ:Y⌒'ｰ{ _＿_,ノ.: :/ i:{ ● ｡ ● }L、_: : : : : : : ／ . ﾍ:.､ ‘ｰ'ｰ’ 〃 ﾊ ｀l￣￣ ヽ _> 、_＿__ ／＾ｰ'′}: i 〃: : : :ﾄヽ ＿_ノ / ヾ、 : : 辷'_:_:_:／ }:冂:{ (二ﾌ ビ二) Szenario 1: Steigend Kursziel-Bereich: 1.800 € – 2.100 € Umstände: Operative Wende: Die im Q1 gemeldeten Projektverschiebungen werden im Q2 und Q3 überkompensiert. Das Management beweist, dass das Ziel von 10 Mrd. € Jahresumsatz nicht nur eine Hoffnung, sondern Realität ist. Erfolgreicher Asset-Deal: Der Verkauf der Automotive-Sparte ( Power Systems ) erfolgt zügig und zu einem Preis am oberen Ende der Erwartungen. Rheinmetall wird zum „Pure Play“ Rüstungskonzern mit höheren Margen. Geopolitische Verschärfung: Eine Eskalation im Pazifik (China/Taiwan) oder eine Intensivierung der Lieferungen von Marschflugkörpern aus Unterlüß an die Ukraine führt zu massiven neuen Aufträgen. Short-Squeeze: Nachdem JP Morgan und andere das Vertrauen entzogen haben, zwingen positive Nachrichten Leerverkäufer zum Eindecken. Szenario 2: Seitwärts Kursziel-Bereich: 1.250 € – 1.450 € Umstände: Pattsituation der News: Die Insider-Käufe von Armin Papperger bilden eine starke psychologische Unterstützung nach unten, während das skeptische JP-Morgan-Rating (Kursziel 1.500 €) die Decke nach oben bildet. Zähe Transformation: Der Verkauf der Automotive-Sparte zieht sich aufgrund regulatorischer Hürden oder schwacher Bieterpreise hin. Warten auf Q2: Investoren verhalten sich abwartend, bis handfeste Belege für die Beschleunigung der Produktion vorliegen. Die Aktie schwankt innerhalb der Bollinger-Bänder ohne klaren Ausbruch. Szenario 3: Fallend Kursziel-Bereich: 900 € – 1.150 € Umstände: Bestätigung der Skepsis: Die Projektverschiebungen aus Q1 erweisen sich als strukturelle Probleme (Personalmangel, fehlende Rohstoffe). Das Jahresziel von 10 Mrd. € muss nach unten korrigiert werden. Wirtschaftskrieg: Die US-Strafzölle belasten die verbleibenden zivilen Sparten stärker als gedacht und drücken die Gesamtmarge. ESG-Druck: Erneuter Abzug von institutionellen Investoren aus dem Rüstungssektor aufgrund verschärfter EU-Taxonomie-Regeln. Zinserhöhungen: Eine unerwartet restriktive Geldpolitik macht Wachstumsaktien mit hohem KGV (wie Rheinmetall) weniger attraktiv. Bewertung: Welches Szenario ist am wahrscheinlichsten? Aktuell ist das Szenario 2 (Seitwärts) mit einer Tendenz zur leichten Erholung am wahrscheinlichsten. Begründung: Stützung durch Insider: Die massiven Käufe des Managements (Directors' Dealings im Mai 2026) signalisieren dem Markt eine Unterbewertung. Dies wirkt wie ein Sicherheitsnetz. Psychologischer Boden: Nach dem 20%igen Rücksetzer seit Jahresbeginn ist viel „Angst“ bereits im Preis. Der Markt hat die enttäuschenden Q1-Zahlen bereits weitgehend verdaut. Realitätscheck: Bis zum nächsten Quartalsbericht fehlen jedoch die Impulse für eine neue Rekordjagd. Die Aktie muss erst beweisen, dass die „Timing-Probleme“ nur vorübergehend waren. Wahrscheinlichkeits-Ranking: Seitwärts (45 %) : Konsolidierung auf aktuellem Niveau, Warten auf operative Belege. Steigend (35 %) : Rebound getrieben durch neue Großaufträge (z. B. Marschflugkörper oder Marine-F126). Fallend (20 %) : Nur bei massiver Gewinnwarnung oder globalem Markteinbruch wahrscheinlich. submitted by /u/cosucosuudu [link] [comments]
reddit · primary_subject · 1.00
What’s your opinion on selling All Tech Heavy Stocks soon and moving to SP500 $VOO?
2026-05-08T22:16:11+00:00
I’ve had quite the run up on Tech Stocks I bought in Nov 2022 such as $12k AMZN +200%, $30k AIQ +200%, and a few that just gained well the past few months $11k XYZ +55%, $9k IGV +11% that I just turned to VOO. I have a few more that I’m greedy on that I want to turn to VOO. $33k $META +555%, $11k $FLUT -4%, $5k $EUAD 0%, $6.8kTTWO +12% Everything’s ATH’s, I make educated guesses by reading financials/gut feels but I don’t know wtf I’m doing and I think regardless of what happens I need to be grateful I’ve had this run up and be more conservative and defended long term. submitted by /u/BigBoxEngineer [link] [comments]
reddit · primary_subject · 0.85
EQS-DD: Rheinmetall AG: Armin Theodor Papperger, Kauf
2026-05-08T08:06:00+00:00
08.05.26 09:54:23 EQS-DD: Rheinmetall AG: Armin Theodor Papperger, Kauf submitted by /u/Dark_de [link] [comments]
reddit · primary_subject · 0.85
JP Morgan stuft Rheinmetall auf neutral 1500€
2026-05-08T05:43:11+00:00
https://live.deutsche-boerse.com/nachrichten/ANALYSE-FLASH-JPMorgan-senkt-Rheinmetall-auf-Neutral---Ziel-1500-Euro-90ebf8ba-4083-48a5-b768-be137f65c2cf submitted by /u/Healthy-Scheme3953 [link] [comments]
reddit · primary_subject · 0.75
Rheinmetall, buy the dip oder noch zu früh ?
2026-05-07T20:37:43+00:00
submitted by /u/lansky90 [link] [comments]
news · primary_subject · 1.00
Here is why Meta Platforms (META) is among the 10 Strong Buy S&P 500 Stocks to Invest In - Yahoo Finance
2026-05-07T13:12:40+00:00
Here is why Meta Platforms (META) is among the 10 Strong Buy S&P 500 Stocks to Invest In Yahoo Finance
reddit · primary_subject · 0.75
Rheinmetall heute nach Earningscall
2026-05-07T11:21:50+00:00
View Poll submitted by /u/Vast_Round8059 [link] [comments]
reddit · comparison · 1.00
$RDDT to $200 with 21% of My Portfolio
2026-05-06T14:39:19+00:00
I have been bullish on $RDDT since my initial entry around liberation day last year. Placed some $200 calls today for Aug-26, Dec-26, and Jun-27 (first image). Holding around 140 shares for an average cost basis of $118 (lots in the second image). For the option contracts, there are a number of interesting tailwinds for the business following this explosive earnings season, such as continued cash compounding in future earnings calls, S&P inclusion, and renewal of the Google / OpenAI contracts in Q1 2027 (see third image). For my share position, I am trying to comp out what $RDDT could become as compared to $META (fourth image with $s in billions and users in millions), $RDDT's Adj. Market Cap after removing cash and share buybacks drives you down to ~$26bn. If you believe that Instagram as a comparable company, is 1/3 of $META and then add a 50% margin of safety ("MOS") to the estimate, $RDDT should have a 9.5x growth multiple over the long run, bringing the market cap closer to >$300bn. Being overly tied to $GOOG isn't necessarily a bad thing for $RDDT, and there are strong synergies for both companies. $RDDT's user base and 20-year data moat of 25bn conversations across 100s of millions of users will likely prove to be a very valuable commodity to all of these AI platforms and help diversify the current revenue concentration from 80% ad-revenue toward secure API data model training for each of the agentic agents. $RDDT sits on a fortress of a balance sheet with 1000x more cash than debt, strong revenue growth, high EBTIDA margins, low capex, and unbelievable gross margins truly make $RDDT a one-of-one business (see last image). Plus, I use it every day to hang out with you retards. YOLO - let me know what you think. submitted by /u/carzzn [link] [comments]
reddit · primary_subject · 0.94
META long dong
2026-05-06T13:24:46+00:00
submitted by /u/SecretCauliflower833 [link] [comments]
reddit · primary_subject · 0.85
Question from an amateur trader
2026-05-06T13:02:56+00:00
I'm 51 and looking to retire in 5 years. Just for context. I have doubled my IRA in 4 years with no deposits and self directed in stocks, making the 5 year plan realistic. Just looking for other perspectives. My question is this, If we take NVIDIA as the gold standard as to chips and AI stocks(that's possibly a big if) but if we do, then looking at GOOGL, META, and MSFT, They seem extremely affordable even after their respective runs, am I out of line thinking that? And, looking at SANDISK and TTMI and their respectively low outstanding shares, they could easily split 10 for 1 and then 4x from where they are now. Obviously I'm talking about stocks that I'm interested in and not including multiple others that could be included in the convo, but am I completely wrong? Thank you for any and all opinions submitted by /u/stonechip [link] [comments]
reddit · primary_subject · 1.00
Wie kann Meta und Microsoft so dumm gefickt werden
2026-05-05T13:56:44+00:00
Ich Checks nicht mehr Earnings waren gut , klar Ki Investitionen bei Meta bisschen höher aber im Gegensatz zur Konkurrenz macht Meta ja bereits dadurch mehr Gewinn. submitted by /u/Tackelol [link] [comments]
reddit · primary_subject · 1.00
QCOM - is the hyperscaler META?
2026-05-04T21:27:47+00:00
I’m in San Diego and I know some people who work there and there is no way to get any information out of them because I’m not close to them like but it seems from the activities from Twitter and some of their LinkedIn execs that they’re hinting the hyperscaler to be META. They’re planning to compete with NVDA but there is no way to get enough information about this? Can somebody here shed some light on this? I bought puts for the first time because I wanted to try to trade options and someone told me buying QCOM puts after earnings is safe and this one flew to the moon. Does anyone know how high can this go realistically? Lost my money on 2DTE puts on QCOM submitted by /u/NewSanDiegean [link] [comments]
reddit · primary_subject · 1.00
Kaufst du jetzt eher Alphabet (GOOGL) oder Meta Platforms (META)?
2026-05-04T19:31:28+00:00
submitted by /u/Adept_Mountain9532 [link] [comments]
reddit · primary_subject · 0.85
Feeling lost on AI stocks
2026-05-04T17:00:34+00:00
I started investing few weeks ago and I thought about focusing on big players, slightly cheaper, with a solid long-term goal; classic example would be buying MSFT and META at somewhat a sale price. I keep opening Reddit and finding continuous massive gains on every AI-related stock, whether it’s INTEL, SNDK, MU, etc… How do you deal with this? It feels like every day I’m missing on generational buying opportunities while sticking with a safer portfolio. How do you jump in stocks like that? Do you ever jump in also when a stock does +15% in one day? FYI I’m 25 and have a portfolio of around 60k USD; I plan on adding 4K USD every month whenever I get paid. Apologies if this posts doesn’t fall perfectly in this thread & thanks for all the inputs in advance! submitted by /u/Obvious_Inspector779 [link] [comments]
reddit · comparison · 0.63
Intel stock grandma and tariffs are a prime examples of why you never listen to reddit.
2026-05-04T08:41:18+00:00
Nerd emoji: bUt YOur pOsT iS iN ReDDiT thEN i Don'T lIsTEn t0 Y00 m 1 R1gHt!!!??? This subreddit, and all subreddits pertaining to stocks has created some kind of toxic environment and behavior where people who have never made money or profited for some reason feel the need to act like they are some expert, make predictions, and make fun of people who have created their own thesis and ideas on why they own a stock. And time and time again the Dunning Kruger effect is proven if you look back at posts in a timeframe of at least a year and beyond. Prime example: Intel grandma. Guy who inherited 700k from grandma decides to put it all in to Intel. His thesis being that due to the market emphasis around tech and AI, tensions between China and Taiwan that makes semi-conductors, the USA emphasis on trying to focus on making their own semi-conductor production, and Intel focusing on building plants and restructuring their company will pay off. Do I think he's right, or would I ever put all my money in one stock? No, but that was his thesis. Come a 30% drop and everyone in wallstreebets and this subreddit are making fun of him. Every redditor thinks "Nana!" jokes are original funny any time Intel is brought up for discussion. There is no discussion that be had on Intel because it's the same, repetitive jokes over and over again. That guy if he had not listened to reddit would be in retirement today with over 2.5 million $$$. 2nd example: when Trump was doing his tariff run and the market plummeted everyone suddenly became an econ expert. The US economy is going to the toilet, the hurt just started, something something ports are going to shut down. Any time people offered the tried and tested method of buying stocks when there is fear in the markets was made fun of. I had people message me for simply stating that it's a good time to load up on your favorite stocks "It must be difficult to cope when you're losing so much money." People who did not buy during Trump's little crash lost out on a 50% return today if we want to just use the NASDAQ as an example. Use any other metric you want: you lost out on a return if you didn't buy. Want more examples? 21 tech crash and you were a laughing stock here if you wanted to buy stocks like META. COVID? You made fun of as an idiot if you wanted to buy stocks. China trade war? Same thing. Listening to reddit is the best way to never make money. If you've done your due diligence in learning the simple rules of the stock market that a youtube video can teach you, along with having an actual thesis on to why you want to buy a certain stock after researching it, stick to your conviction. Reddit on stocks has been more wrong than right every time. submitted by /u/ryanxwonbinx [link] [comments]