Black Panther Capital (@blackpanthercap) on Surfaced

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Black Panther Capital

@blackpanthercapLong Research47.6k followers

Black Panther Capital

@blackpanthercapLong Research47.6k followers

Past 12mo:5.2kmentions237tickers1.4kposts

$MU· Micron Technology

40 mentions since Jan 2026calls only

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About this voice

@blackpanthercap, a long research voice with 47,569 followers, posted 1,355 times over the past 12 months, generating 5,159 cashtag mentions across 237 distinct tickers. The most frequently mentioned tickers were $IREN with 621 mentions, $NBIS with 517 mentions, and $ONDS with 513 mentions. The account's most recent activity on 2026-07-17 continued this pattern of concentrated focus on a small set of companies.

AI-generated from tracked posts · updated Aug 30, 2026

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40 posts

@blackpanthercapJul 9, 2026 · 1:32 PM

Semis, memory, and datacenter sectors are wiring up again. All you need to know: > FUD will cycle in and out over the next couple of years. > demand and shortages are real and structural. What do you think that means? -BP Not financial advice. $IREN $NBIS $META $CIFR $MU $SNDK

@blackpanthercapJul 7, 2026 · 5:09 PM

3 High-Risk Portfolios. Next 3 Years: #1 - Ultra-Aggressive Speculation (3 pos.) > $IREN > $NBIS > $AAOI #2 - High-Conviction Growth (6 pos.) > $MU > $IREN > $NBIS > $AAOI > $OUST > $ASTS #3 - Risk-Constrained Opportunistic (9 pos.) > $MU > $NOK > $IREN > $NBIS > $AAOI > $OUST > $ASTS > $RKLB > $ONDS Save this. -BP Please note as always this is not financial advice.

@blackpanthercapJul 7, 2026 · 10:05 AM

Here’s my h2 predictions: > massive earnings coming in. $MU already delivered. $GOOG $META $ANZN to come. > market will go down as always a couple of days to digest the news. > market will continue to be choppy from now to end of august. > beta stocks such as $IREN $NBIS $AAOI $OUST $ONDS will suffer the most in this period. > july and august will show first signs of disinflation. > FED will cut rate for the first time in september. risk is back on. > market will brr brr as @aleabitoreddit says. -BP not financial advice.

@blackpanthercapJul 6, 2026 · 3:29 PM

One year ago: $INTC $22. Today $125. $MU $199. Today $1000. $SNDK $45. Today $1800. Lesson: > Put your money to work. > Do nothing. NOTHING! Dont f. touch it! -BP Not financial advice.

@blackpanthercapJul 2, 2026 · 5:41 PM

It’s not a crash. It’s a rotation! I get a lot of DMs with questions about today’s sell off. Zoom out for a second, because it looks scarier in your feed than it does on the screen. The Dow is up today, hitting records. The S&P is roughly flat. The Nasdaq is down about 1.50%, and that’s almost entirely chips still digesting the last few sessions. It’s not a crash. It’s a rotation. June payrolls came in at 57,000, way below expectations, unemployment ticked up to 4.2%. Weak jobs data usually means one thing for tech: less pressure on the Fed to stay hawkish. Money moved into bond-sensitive sectors. Growth names got sold. That’s the mechanical reaction, not a verdict on AI. The real story is semis. Chips have been under pressure since Wednesday, some names posting double-digit drawdowns, as the market chews on AI capex pace and whether hyperscaler spending gets pulled forward or pushed out. That’s a fair debate. It is a completely different debate than “the AI trade is over.” Here’s what people keep missing when a red day hits their timeline: Indexes are still sitting near highs for the year. This is a concentrated pullback in one crowded corner of the market, not a systemic unwind. Dow printing records the same day the Nasdaq is red isn’t chaos, it’s capital moving, not disappearing. The one real risk here is valuation. After the run chip and AI infrastructure names have had, any hesitation on the capex story gets punished hard, and that punishment can run a few sessions before it burns itself out. That’s what’s happening right now. Selloffs like this feel personal when you’re holding the names getting hit. They’re rarely personal. They’re rotation, wearing a scarier costume. -BP Not financial advice. $QQQ $SPY $IREN $NBIS $OUST $ASTS $MU $LITE $AAOI

@blackpanthercapJun 26, 2026 · 7:05 PM

Something is not adding up here? 🤫 Don’t own US Stocks… Okay…. I’ll sell my $IREN $NBIS $AAOI $RKLB $GOOG $MU $META $AMZN $SNDK if you say so…. …But let me first check your portfolio Jeremy. -BP Not financial advice. https://t.co/H4Fjpb3KHr

@blackpanthercapJun 26, 2026 · 1:39 PM

$AAPL just raised prices on the MacBook and iPad. The reason they gave, on the record, was higher component costs. Memory chips, specifically. Sit with that for a second. This isn’t a supplier warning about future risk. This is the largest consumer hardware company in the world telling its own customers, in writing, that it can no longer absorb what memory currently costs. $DRAM spot prices are up over 50% since January. NAND is climbing with it. $MU just told the world its entire 2026 high bandwidth memory supply is sold out and the company can only fulfill 50% to two-thirds of orders for key customers. Apple isn’t choosing to pass along a cost. Apple is being forced to. Here’s the part that should reframe how you think about “who wins” in this AI buildout. It’s not the companies with the biggest brand or the most users. It’s whoever controls the actual physical constraint nobody downstream can route around. The companies that will ‘win’ til race and buildout are the companies solving actually constraints in all layers of AI; $MU - DRAM $SNDK - NAND $NBIS - GPU Power/AI Cloud $IREN - GPU Power/AI Cloud $COHR - Photonics $LITE - InP & Photonics $SIVE - Lasers $AAOI - Optical Transceivers $PENG - AI server platforms $NOK - AI-RAN $AXTI - Substrates $AEHR - Wafer & Test Be logic. Will AI succeed without these materials provided? Apple has the brand. Apple does not have the memory. And right now, that’s the only column that matters. Watch which other consumer hardware names follow with their own price increases over the next few weeks. That’s the tell for how widespread this constraint actually is. I’m not saying it’s gonna be an easy ride. This is a 10-year buildout. Patience wins the game. Most don’t have that. -BP This is not financial advice. Please do your own research.

@blackpanthercapJun 25, 2026 · 1:59 PM

$MU beat by $5.7B in revenue and $4.5 in EPS. The “AI bubble” crowd went SILENT overnight. A stock down 13% on macro fear and up 14% on actual results was never about macro. PM was looking great. Yet, we hot rug-pulled af. Broader “rug-pull” dynamics stem from: > Funds and pros locking gains after parabolic runs ($MU up hundreds of percent YTD). > Portfolio rebalancing and derisking amid macro uncertainty, sector rotation, and high valuations. > “Sell the news” mechanics: strong results provide exit liquidity for large holders who front-ran the narrative. > Market structure; algos, stops, and positioning unwinds amplify moves beyond fundamentals Another day, another beer, another ‘go touch some grass’. -BP Not financial advice.

@blackpanthercapJun 25, 2026 · 9:00 AM

$MU earnings just confirmed the whole $AAOI thesis. Now send it to $300. -BP Not financial advice. https://t.co/KnrUHgeEzv

@blackpanthercapJun 24, 2026 · 8:40 PM

$MU crushed earnings. AH ripping. Bears bears bears. Ouch. -BP https://t.co/pZOPm4g6WX

@blackpanthercapJun 23, 2026 · 4:32 PM

56 of the Nasdaq-100’s 100 holdings are green today. The index itself is down over 2%, actually closer to 2.5–3% on $QQQ. It’s just how absurdly top-heavy this index has gotten. A handful of massive semiconductor and AI infrastructure names are dragging the whole thing red while most of the actual components are fine. Today it’s names like $MU (down ~10–11%), $NVDA, $AVGO, $AMD, and a bunch of chip equipment stocks getting hit hard, many down 7–12%. These carry huge weights, so they move the index far more than the other 90+ stocks combined. Worth remembering the next time a single ugly index number makes you feel like the entire market’s falling apart. Sometimes it’s six (or ten) stocks doing all the damage, not sixty. -BP Not financial advice.

@blackpanthercapJun 22, 2026 · 5:07 PM

12 months ago people hesitated. 9 months ago people hesitated. 6 months ago people hesitated. 3 months ago people hesitated. Meanwhile $MU went up +850% $SNDK went up +4.800% $AXTI went up +4.500% $COHR went up +400% $OUST went up +130% $NBIS went up +480% $AAOI went up +590% $PENG went up +250% $AEHR went up +910% $LITE went up +850% $IREN went up +440 I think you get me now… AI is here to STAY. -BP Please note: this is not financial advice.

@blackpanthercapJun 14, 2026 · 11:46 AM

One the most important macro week of the year is about to start. Here’s what I’m watching: → Warsh’s debut (Tue/Wed) No rate move expected. That’s not the story. He’s signaled a leaner FED that communicates less. His first press conference is the closest thing we have to a 2026 rate preview. Watch the language, that’s the decision going forward. → Iran deal (this week) Still unsigned. Still contested. But the draft includes Iran reopening the Strait of Hormuz within 30 days. A signed deal removes the energy tail risk AND takes inflation pressure off Warsh’s table simultaneously. Two events. One outcome. Most coverage is missing that connection. → $MU earnings (June 24) Entire 2026 HBM supply already sold out. The AI memory thesis gets confirmed or cracked on one print. → $SPCX post-IPO follow-through Largest IPO in history just listed. This week tells you whether the institutional demand was real. I’m watching how $RKLB $ASTS $PL trades relative to $SPCX. Four events. All connected by the same question: how much risk is this market actually pricing? -BP Not financial advice. DYOR.

@blackpanthercapJun 10, 2026 · 4:28 PM

A lot of people are going to look at this cpi print today and decide the market is too complicated. Too many variables. Too much macro. Too much uncertainty. And then they are going to do nothing. I want to say something honest about that. The market is not more complicated today than it was last year. It is differently complicated. The specific risks changed. The underlying reality did not. There is always a reason not to build. > In 2020 it was the pandemic. > In 2022 it was inflation. > In 2023 it was bank failures. > In 2024 it was elections. > In 2025 it was war. > In 2026 it is still war, plus inflation, plus a fed that is not cutting. A lot of these years brought great entry opportunities into stocks like $NVDA $MU $SNDK $NBIS $IREN $LITE $GOOG you name it. The people who are ahead today started building through every one of those. They did not wait for a clean tape. There’s is no clean tape. There never was. Build anyway. -BP Please note: this is not financial advice.

@blackpanthercapJun 8, 2026 · 6:18 PM

The Anthropic IPO math literally breaks the stock market 🤯 2 years from now. 2028. Anthropic could potentially be bigger than SP500 and Nasdaq combined. Read that again. COMBINED! There is an incredible amount of hype surrounding Anthropic’s upcoming IPO, but to truly grasp the sheer scale of the AI boom happening right now, you have to look at the math. And frankly, the math is starting to look like science fiction. Anthropic’s annualized revenue has been growing at 10× per year since reaching $1B, outpacing OpenAI’s growth of 3.4× per year. In early 2026, Anthropic’s annualized revenue run rate was around $9 billion. By May, it had exploded to $47 billion. Their private valuation is now sitting right on the edge of the trillion-dollar club at $965 billion. They aren't just growing; they are compounding at a rate that traditional software companies couldn't even dream of. But what happens if we play this trajectory forward? What if Anthropic actually maintains this hyper-growth and 10x's its value over the next few years? Let’s run the thought experiment. Today (Mid-2026): At $47 billion in revenue and a $965 billion valuation, Anthropic is approaching a historic $1 trillion public debut. Mid-2027: If they 10x again, revenue hits $470 billion and valuation reaches $9.65 trillion. Anthropic becomes the undisputed most valuable company on Earth, worth roughly three times $MSFT. Mid-2028: This is the breaking point. At $4.7 trillion in revenue and a $96.5 trillion valuation, Anthropic alone would be worth the current S&P 500 ($68 trillion) and Nasdaq ($30 trillion) combined. Mid-2029: The math leaves reality entirely. At a $965 trillion valuation, a single company would be worth nearly nine times the entire global economy. Let me be completely clear: Anthropic will not swallow the S&P 500 and Nasdaq in 2028. At a certain point, hyper-growth collides with the Law of Large Numbers. You can 10x your revenue when you are scaling from $1 billion to $10 billion. But once you cross $40 billion, maintaining a 1,000% annual growth rate becomes mathematically impossible. There simply isn't enough enterprise money in the global economy to absorb that level of compounding spend year over year. The growth curve will inevitably flatten as it hits the ceiling of global enterprise budgets. I did not run these numbers to make literal stock market predictions; I run them to understand the magnitude of the AI shift. This isn't a typical tech cycle where a new software company captures a niche market. AI, specifically enterprise-grade models and coding agents like Claude, is becoming the foundational infrastructure for *every* market. Anthropic's unprecedented jump from $9 billion to $47 billion in a matter of months proves that AI isn't just being bought as a software tool; it is being bought as a replacement for raw compute hours and human labor. The fact that a single company's current trajectory could theoretically threaten the market cap of the entire US stock exchange within 24 months shows that we aren't just watching a tech company grow. We are watching the entire global economy get replatformed right now by companies like: $NVDA $GOOG $AMZN $TSLA $META $NBIS $MU $AAOI $LITE $SNDK Incredible times we are living in. -BP Please note: this is not financial advice.

@blackpanthercapJun 6, 2026 · 4:19 PM

Attn. President Donald J. Trump Retail investors have purchased every dip. We are out of money now. With beloved support, -Retail $IREN $NBIS $RKLB $OUST $AAOI $MU https://t.co/ow9ulv53GX

@blackpanthercapMay 27, 2026 · 2:53 PM

$MU just crossed $1 trillion market cap. UBS price target: $1,625. Entire 2026 HBM output is sold out. HBM chips store data next to the GPU. Moving that data at AI-required speeds through hyperscaler networks demands optical transceivers at massive scale. That is photonics, not memory. HBM demand going vertical directly drives transceiver demand vertical. $AAOI manufactures the lasers and transceivers integrated into those hyperscaler networks. Vertically integrated from manufacturer to integrator. Rosenblatt raised their price target to $140 in March. Memory is being bid up. The photonics layer has not been repriced fully yet. One supply chain moment creating two separate bottlenecks. We are so EARLY into this. I am still long $AAOI. -BP Not financial advice. Do your own due diligence.

@blackpanthercapMay 14, 2026 · 4:47 PM

🚨THE BEARS HAVE BEEN WRONG ABOUT THE SAME THING FOR THREE YEARS. And they’re about to be wrong again. Morgan Stanley just raised their S&P 500 target to 8,300. Year-end 2026 target: 8,000. Twelve-month target: 8,300. Over 12% upside from current levels around 7,400. But here’s the line that matters most: “Our bullish index view is an earnings story, not a multiple expansion one.” Read that again. EARNINGS. > 83.2% of S&P 500 companies beat Q1 estimates. > Morgan Stanley projects $339 EPS for 2026. That’s 23% growth, followed by $380 in 2027 and $429 in 2028. A compounding earnings machine. Not a bubble. Now let me show you what the bears keep getting wrong. There’s a clip making the rounds right now. A guy pulls up two charts side by side. > Left chart: The dot-com era. Price ripping higher. Earnings flatlined. Pure narrative. Pure multiple expansion. Pure speculation. > Right chart: Right now, 2023-2026. Earnings are LEADING price. AI and semiconductors are driving actual profits. Price is still CATCHING UP to the gray line. His point? We’re not in a bubble. We’re in the middle of an earnings cycle that hasn’t fully repriced yet. He’s right. $MU, $SNDK, SK Hynix and Samsung, 75% of the $DRAM market are proof. These are companies printing money faster than analysts can revise targets upward. > The memory supercycle isn’t priced in. > The AI infrastructure buildout isn’t priced in. The earnings are real and the multiples are still compressing INTO the growth. The dot-com bubble was speculation in search of earnings. This is earnings in search of a price that can catch up. There’s a massive difference. So where does the money go? $SPY and $QQQ as a passive bet + into the infrastructure that’s CAUSING the earnings surge. Here’s where I’m positioned: → $IREN → $NBIS → $CIFR → $AAOI → $SIVE → $RKLB → $OUST → $PENG → $ONDS → $KRKNF Every single one of these names sits inside the structural AI buildout that’s driving the future earnings Morgan Stanley just upgraded their entire index outlook for. HERE’S THE MACRO SETUP Morgan Stanley explicitly ties their revised outlook to AI adoption enhancing operating leverage across the S&P 500 and a rolling earnings recovery that continues to progress. This isn’t a macro call. This is a capital allocation call. The earnings cycle is real. The infrastructure buildout is real. The defense spending acceleration is real. $QQQ and $SPY tell you the tide is coming in. The names above tell you which boats rise the most. The dot-com bubble was price without earnings. This is earnings without price. The gray line hasn’t been touched yet. We’re mid-cycle. Act accordingly. Still long. Still adding. Still building. -BP Please remember: This is not financial advice. Do your own research. I hold positions in many of the names mentioned.

@blackpanthercapMay 11, 2026 · 5:32 PM

Wall Street haven’t figured $PENG role out yet.. when they do, it will explode. Here’s everything you need to know and why $NVDA $AAOI $MU $SNDK will need to rely on them, at one point: $PENG provides the *end-to-end architecture* required to make components work as a unified system. They design, build, and manage "AI Factories" such as massive data centers optimized for AI training. Their portfolio covers: > Computing > Memory > Managed Services They solve the "Memory Wall" (the bottleneck between the processor and data) by owning memory technology and system integration expertise. And acts as the integrator layer, the "glue" that assembles raw components into a functioning supercomputer. Penguin’s uniqueness lies at the intersection of Memory and HPC (High-Performance Computing). Most integrators focus only on the compute (GPUs), but Penguin understands that the "Memory Wall" (the speed gap between the processor and the data storage) is the BIGGEST bottleneck in AI. They are one of the few players that own the memory technology (through their SMART Modular brand) and the system-level integration expertise. To give you an understanding of their position: Tier 1: Component Providers (The Raw Materials) $NVDA provides the Blackwell GPUs that serve as the engines of the factory. $MU provides High-Bandwidth Memory (HBM), while $MRAM provides persistent memory for reliability. $SNDK provides high-speed SSDs, and $P provides the all-flash arrays required to feed massive datasets to GPUs without lag. $AAOI provides the "nervous system" through 800G and 1.6T optical transceivers that move data between GPUs. $POET and $SIVE provide photonics to replace copper wires with light-speed links. $LPK provides precision manufacturing for the circuit boards these components inhabit. Tier 2: The Architect & Integrator (The Brain) This is the center. Penguin takes the chips $NVDA, memory $MU, storage $P, and networking $AAOI and "weaves" them together. They perform the "racking, stacking, and testing". Tier 3: Infrastructure Operators $NBIS & $IREN. These are the customers. They build the physical power, shells, and the AI cloud. They rely on Penguin for the technical deployment and managed services to keep fleets running 24/7. If the AI revolution is a gold mine, $NVDA and $MU are the pickaxes, $P and $AAOI are the conveyors and bins, $IREN and $NBIS are the ‘owners’, and $PENG Solutions is the engineering firm that builds and manages the entire operation. -BP NOT FINANCIAL ADVICE.

@blackpanthercapMay 11, 2026 · 3:00 PM

I took a position in $PENG today. Here is why and my PT: > 2026: $93 base / $124 bull > 2027: $160 base / $210 bull From $44 today. That is a 5x if the re-rate completes. The mechanism is not earnings growth. It is multiple expansion EV/Revenue moving from 1.6x toward 4-5x as the market stops calling $PENG a hardware company and starts calling it what it actually is. The same re-rate drove $MU +800%. The same re-rate drove $SNDK +4,000%. $PENG is a $2.5 billion company that owns the only production-ready solution to the single biggest performance bottleneck in enterprise AI. The market is pricing it like a server reseller. Here’s the actual chain reaction, and where the money is: Layer 1: The GPU layer (what everyone sees) $NVDA B300s. $AMD MI300Xs. Already priced, already covered, already bought. Layer 2: The DRAM layer (what sophisticated investors see) $MU and $SNDK supply the HBM and NAND underneath every inference workload. Real bottleneck, real trade. Also fully committed, hyperscaler supply agreements have absorbed production capacity through 2027. Not much left for the market to price in. Layer 3: The inference memory architecture layer (what nobody sees) AI inference is 70% memory-bound. Not compute. Not storage. Memory. A GPU running enterprise inference idles constantly; the on-chip HBM fills up, the key-value cache has nowhere to go, the GPU stops and rebuilds. That idle time is the MEMORY wall. It is not theoretical. It is happening inside every enterprise AI cluster being deployed right now. $MU supplies raw DRAM. $SNDK supplies NAND. Neither ships a system that fixes the architectural problem inside the cluster. Nobody does. One company excepted. > $PENG > Market cap: approximately $2.5 billion. > The MemoryAI appliance delivers 11 TB of CXL memory per node. Speeds 10x faster than NVMe caching. Native NVIDIA Dynamo compatibility and plugs directly into any NVIDIA inference cluster without touching the software stack. > Patent-pending. > Already deployed at a Tier 1 financial institution at production scale as of Q2 FY2026. The supply chain looks like this: SK hynix DDR5 → CXL Add-in Cards → Penguin MemoryAI Server → NVIDIA Dynamo KV offload → GPU inference cluster Penguin owns Layer 3. Astera Labs sells CXL controllers, components only. XConn and MemVerge have demonstrated lab architectures but have not shipped a turnkey server. Penguin ships the COMPLETE appliance, backed by 3.3 billion GPU runtime hours that no competitor entering this space in 2026 replicates in under 18 months. The financials are not what the price implies. Q2 FY2026: $343M revenue. Non-GAAP operating margin 13.2%. Gross margin 31.2%. Expanding year-over-year even as total revenue fell, because Integrated Memory grew 63% YoY. Net cash positive: $489M cash, $450M debt with no maturities until 2029. Buyback: $32M deployed in Q2 alone at approximately $19 per share. Management was buying at less than half today’s price. $112M authorization still remaining. FY2026 guidance raised May 10: 12% net sales growth. $2.15 Non-GAAP EPS. Now the valuation. $PENG trades at approximately 1.6x EV/Revenue. $MU traded at 1.8x before the inference re-rate. Moved to 5x. 800% return. $SNDK at 2x as a storage company. Reframed as AI inference infrastructure. Moved to 8-10x. 4,000% return. $PENG is at 1.6x. Priced like nobody noticed it shipped the only production-ready inference memory system in the world. 2026 bull: $124, 4x EV/Revenue. Category recognition. 2027 base: $160 — 4x on ~$2.0B as Integrated Memory sustains 35%+ YoY. 2027 bull: $210 — 5x on ~$2.1B. Full platform recognition. The catalyst: Q3 FY2026 earnings, approximately July 2026. $375M guided. $0.55 EPS guided. If MemoryAI deployments are named, the re-rate begins. -BP Not financial advice. @ParadisLabs @KawzInvests @pennycheck

@blackpanthercapApr 1, 2026 · 5:14 PM

THE AI SUPPLY CHAIN — COMPLETE MAP I've spent a few hours mapping the entire AI supply chain. Hyperscalers are spending $750 billion. These are the 42 companies building, powering, and deploying AI from start to finish. Every layer. Every sector. Bookmark it. Feel free to add companies in the comments. Layer 1: Chip Equipment (the machines that build the machines): $ASML $AMAT $LRCX $TSEM Layer 2: Foundry & Fabrication (where chips are born): $TSM $GFS $INTC Layer 3: GPU / ASIC / CPU (the AI compute engines): $NVDA $AVGO $AMD $MRVL Layer 4: Memory & HBM (the bandwidth bottleneck): $MU $WDC Layer 5: Photonics & Optical Interconnects: $COHR $LITE $AAOI $POET $MTSI $ALMU Layer 6: Data Center + Space (the physical home of AI): $IREN $NBIS $CIFR $WULF $EQIX $RKLB $ASTS $PL Layer 7: Cybersecurity (every new AI system is a new attack surface): $CRWD $PANW $ZS $NET $S $FTNT Layer 8: AI Software & Automation (where the ROI shows up): $PATH $PLTR $NOW $HIMS $DDOG $SNOW $MDB $SOFI Layer 9: Defense & End-Use (where AI becomes operational): $ONDS $OSS $RKLB $AMPX $LHX $RTX $NOC $PNG.V Every company on this list has either government budgets, hyperscaler contracts, or can potentially benefit from the AI build it somehow. Save this. And if you found this valuable, you should follow me. The market won't be red forever. -BP Please note: This is not financial advice.

@blackpanthercapMar 29, 2026 · 11:06 AM

It’s Sunday. Enjoy the peace for the next 24 hours before our portfolios and mental health get absolutely wrecked. Rest in peace. $NVDA $MSFT $META $IREN $NBIS $CIFR $WULF $ONDS $RKLB $ASTS $OSS $AAOI $AMPX $LITE $MU $HIMS $QQQ $SPX https://t.co/uIEdJS1kuo

@blackpanthercapMar 23, 2026 · 7:09 PM

The hyperscalers aren’t cutting AI capex. $660-700B committed for 2026. Contracts signed. Fabs running. Here’s where that money flows: Compute: $NVDA, $AMD, $AVGO Memory: $MU, $SKX Neoclouds: $IREN, $NBIS, $CIFR Equipment: $AMAT, $LRCX, $KLAC Power: $CEG, $VST, $ETN Cooling: $VRT, Networking: $ANET, $LITE, $AAOI The Iran war slows sentiment, but it doesn’t slow AI buildouts. Save this for later. -BP Please note, this is not financial advice.

@blackpanthercapMar 22, 2026 · 7:28 PM

$MU posted the most MISREAD earnings report of 2026. > Revenue: $23.9B, up 196% year-over-year. > EPS: $12.20 vs $8.79 consensus. > Gross margins: 75%. HBM4: entered mass production March 16. 2026 HBM capacity: sold out entirely. The stock dropped 5% because capex came in above $25B. The market punished a company for investing aggressively at the exact moment demand is accelerating. That’s not a red flag. That’s a runway. -BP Please note: This is not financial advice.

@blackpanthercapMar 22, 2026 · 2:01 PM

The market is down 4 weeks straight. To me, this is not a reason to sell. This is to me, a SECOND-CHANCE entry on names where the thesis haven’t changed: $IREN is still scaling secured power. $NBIS is still a scaling AI cloud. $NVDA still controls 90%+ of GPU market. $MU just posted 75% gross margins. Nothing changed. Stocks dropped on fear. The fundamentals didn’t break. The price did. Save this and check back in 12 months. -BP Please note: This is not financial advice. Always do your own research.

@blackpanthercapMar 14, 2026 · 8:33 PM

AI isn’t coming for jobs. It already took them. $META. $AMZN. $ORCL. All cutting. All replacing. The profits don’t disappear. They shift. From labor. To capital. To shareholders. Own the infrastructure that runs the machine: $NVDA $NBIS $IREN $COHR $AVGO $MU Note: This is NOT financial advice.

@blackpanthercapFeb 16, 2026 · 6:10 PM

👀The ONLY watchlist you need for 2026. EVERY sector the government and hyperscalers are pouring money into. 49 stocks across AI, hardware, defense, energy, and space. → Save this now, come back later. Datacenter / Digital Infrastructure $ANET - Arista Networks $VRT - Vertiv $EQIX - Equinix $LITE - Lumentum $CRDO - Credo Technology $NBIS - Nebius Group $CSCO - Cisco Systems $APLD - Applied Digital $IREN - IREN Limited $CIFR - Cipher Mining SaaS $PLTR - Palantir Technologies $CRWD - CrowdStrike $PANW - Palo Alto Networks AI / Compute $NVDA - NVIDIA $MSFT - Microsoft $GOOG - Alphabet $AMZN - Amazon $META - Meta Platforms $AVGO - Broadcom $AMD - Advanced Micro Devices $MU - Micron Technology $SMCI - Super Micro Computer $SNDK - SanDisk Semiconductors / Hardware $AAPL - Apple $MRVL - Marvell Technology $ASML - ASML $OSS - One Stop Systems $LPTH - LightPath Technologies Critical Minerals $MP - MP Materials $LAC - Lithium Americas $NEO - Neo Performance Materials $SLI - Standard Lithium $PLL - Piedmont Lithium Space $RKLB - Rocket Lab $ASTS - AST SpaceMobile $PL - Planet Labs $RDW - Redwire Defense / Aerospace $LMT - Lockheed Martin $AVAV - AeroVironment $KTOS - Kratos Defense $ONDS - Ondas Holdings $KRKNF - Kraken Energy Energy / Power $TE - T1 Energy $FSLR - First Solar $ENPH - Enphase Energy $ARRY - Array Technologies $NXT - Nextracker $FLNC - Fluence Energy $VST - Vistra Save this for later. Note: This is NOT financial advice.

@blackpanthercapFeb 9, 2026 · 8:14 PM

👀 OFFICIAL ANALYST RATINGS: Hold: > $ASTS > $SOFI > $HIMS Moderate buy: > $SNDK Buy: > $TE > $MU > $OSS > $AMD > $IREN > $CIFR > $NBIS > $RKLB > $ONDS > $GOOG > $AMZN Save it. Note: This is NOT financial advice.

@blackpanthercapFeb 7, 2026 · 8:54 PM

@TechEquityEng I like $MU as well! 👊

@blackpanthercapFeb 1, 2026 · 12:46 PM

When market opens tomorrow, nothing has changed. $SNDK — still sits on data storage. $MU — still sits at the core of memory. $ASTS — still sits on global connectivity. $NBIS — still sits on sovereign infrastructure. $TE — still sits on backbone of electrification. $IREN — still sits on low-cost compute power. $ONDS — still sits on modern defense systems. $AMD — still sits on high-performance compute. Nothing has changed. Fundamentals are still the same.

@blackpanthercapJan 30, 2026 · 4:12 PM

👀MY 15 TOP PICKS FOR 2026: Megacap: $META $GOOG $AMZN $AMD $MU Large cap: $ASTS $RKLB $IREN $NBIS Mid cap: $ONDS $ZETA $EOSE Small cap: $TE $OSS $KRKNF Save it. Note: Not financial advice. https://t.co/7OMgXqLEQf

@blackpanthercapJan 20, 2026 · 6:06 PM

11 SECTORS THAT WILL DEMAND BILLIONS IN CAPEX BY 2035: Edge AI Autonomy: $OSS Defense Provider: $KOPN $LPTH AI Hyperscale: $IREN $NBIS $CIFR Drone Defense: $ONDS Subsea Defense: $KRKNF Space Infrastructure: $ASTS $RKLB $PL $RDW $SATL Grid Resilience: $TE $EOSE Tech $ZETA $HIMS $SOFI $VOYG Robotics/Automation $PATH $RR $AUR Chips: $AMD $POET Compute Memory: $MU Positioning for necessities. Still early. Bookmark this for later. Not financial advice.

@blackpanthercapJan 13, 2026 · 6:36 PM

I initiated a long-term position in $OSS today, ready to add on continuation or dip. Please be aware that I am biased, as I am invested myself. $OSS SHORT THESIS: One Stop Systems ($OSS) designs and manufactures rugged high-performance compute systems, accelerators, storage, and switch fabrics optimized for edge AI, machine learning, sensor fusion, and autonomy applications in defense, industrial, and commercial environments. Why thesis is strong: Bet on edge AI expansion in defense and autonomy, where ruggedized hardware captures niche high-margin demand that larger players overlook. Key Numbers: • Market Cap: $277 million • Revenue: $63–65 million (2025 guidance, full year) • Revenue Growth: 20–30% YoY (core OSS segment targeted for 2026) • Net Debt: ~$0 (near debt-free, with $6.5 million debt offset by equivalent cash post-recent transactions and raises) 36 Key Drivers: • Partners include $NVDA, $AMD, $MU, $AVGO $MSFT • Sole-source defense contracts (e.g., P-8A platform lifetime >$45 million; expanding unmanned and reconnaissance programs) • Edge AI demand surge in military sensor processing and autonomy. • Refocus post-Bressner divestiture on core rugged HPC for AI/ML 56 Risks: • Execution dependency on contract wins and pipeline conversion ($1B+ qualified but uncertain timing; no direct 2026 confirmation, but robust pipeline noted) • Competition from scaled HPC providers entering edge niches. • Volatility from micro-cap liquidity and prior profitability challenges. If defense AI contracts and edge computing ramp successfully, revenue doubles and margins expand, supporting higher multiple on autonomy profits. Note. NOT FINANCIAL ADVICE

@blackpanthercapJan 12, 2026 · 6:21 PM

@Akciovymag Really nice portfolio. Great work. Like you have $MU and $SOFI in it. So many great companies out there.

@blackpanthercapJan 11, 2026 · 6:47 PM

👀 37 STOCKS THAT WILL 6X YOUR PORTFOLIO WEALTH NEXT 5 YEARS: AI and Software: $PATH $ZETA $PLTR $IONQ $RBLX Fintech: $SOFI $PYPL $LMND $OPEN $HOOD Semiconductors: $MU $TSM $POET $MRVL $NVDA $AMD Healthcare $HIMS $NVO $TEM Space and Satellite: $RKLB $ASTS $LUNR $PL Air Mobility: $ACHR $JOBY Datacenters: $IREN $CIFR $WULF $NBIS $HUT E-commerce: $AMZN Social Media: $META Humanoid: $TSLA Energy Storage & Solar: $EOSE $TE Defense Technology: $KRKNF $ONDS Not financial advice. For informational purposes only. Do your own research. Save it for later.

@blackpanthercapJan 7, 2026 · 4:17 PM

Memory stocks $SNDK $MU is exploding. HBM bottleneck worse than ever. Congrats to all that is riding this wave and bagged some generational wealth💰

@blackpanthercapJan 6, 2026 · 4:24 PM

30 STOCKS THAT CAN 2X IN 2026 ACCORDING TO GROK: Technology: $NVDA $ONDS $MU $ADBE $AMD $UBER $DELL $MSF $PLTR Communication Services: $NFLX $NBIS $TTD $RDDT Consumer Cyclical: $AMZN $MELI $TSLA $QS Industrials: $RKLB $PL $RDW $ASTS Financial Services: $HOOD $PYPL $NU $COIN $SOFI Real Estate: $OPEN Utilities: $OKLO $IREN $NBIS I’ll save the list and re-visit in a year. Note: Not financial advice.

@blackpanthercapJan 5, 2026 · 3:11 PM

@InvestingVisual $MU is showing incredible growth lately.

@blackpanthercapJan 4, 2026 · 6:16 PM

Jon Gray is President and Chief Operating Officer of Blackstone Inc. “What is the main thing? It’s AI. This is the BIG thing.” “It started with this massive investment boom, which provides the foundation for the technology.” “And the AI itself, which we believe is going to create an enormous productivity.” Companies like $PATH, $ZETA, $POET, $META, $AMZN, $GOOG, $ONDS, $NBIS, $IREN, $CIFR $MU - will ALL benefit from this.

@blackpanthercapJan 3, 2026 · 12:19 PM

👀Contrarian call: $MU to $500 by 2027. Memory chips powering everything AI. Cheap valuation = asymmetric upside. EBIT expected to 5x. NFA, but this feels too obvious. Thoughts?