Professional dinosaur trainer and amateur wizard making music videos for all your favorite artists.

Wall Street
Joined April 2012
🚨 Free U.S. & Hong Kong stock signals. AI is a full infrastructure chain: $NVDA / $MU / $AVGO / $TSM / $ASML Plus HK AI application names. 🧠 👉 WhatsApp:12894246451 Not financial advice.
🤖 Made with AI
141
🇺🇸 Something big might be brewing with $NVDA. Jensen only comes out when things get bigger. Rumors are flying about deeper AI compute partnerships. Nothing’s official yet. But AI demand is insane right now. SpaceX is locking in huge compute deals. Google and Anthropic need
22
8
14
106
🚨 solana:J3NKxxXZcnNiMjKw9hYb2K4LUxgwB6t1FtPtQVsv3KFr / $SPY / $QQQ — The selloff might not be done yet. The market just lost trillions, but this could just be the first sign. US is heading into another midterm election cycle, and stocks usually don't do well during thes
1
1
1
29
OpenAI’s next major training run is reportedly moving to $NVDA Vera Rubin this fall. That tells me one thing: The AI race is still controlled by compute. Sarah Friar also said compute remains sold out through much of 2027, with power, land, chips and talent all becoming bottlenecks. This is why I don’t view $NVDA as just a chip stock. $NVDA is becoming the core infrastructure layer of the AI economy. The market keeps talking about models. But the real war is underneath: GPUs Power Data centers Networking Talent Land The stocks to watch: $NVDA $MSFT $AMD $AVGO $TSM $ORCL $AMZN My view is simple: AI demand is not slowing. The bottleneck is supply. Follow the companies controlling compute. Not financial advice.
45
9
19
3,686
AI isn't just scaling up—it's getting way cheaper. TurboVec uses Google Research's TurboQuant to shrink vector memory from 31GB down to 4GB. Why it matters: Less memory. Faster searches. AI that works offline. No need for pricey GPU clusters or cloud reliance. Everyon
8
4
7
135
AI isn't just getting bigger—it's getting cheaper. TurboVec, powered by Google's TurboQuant, cuts AI vector memory from 31GB to 4GB. That means less memory, faster search, and offline AI. No expensive GPU clusters or cloud needed. Everyone chases bigger models, but the real gam
24
13
17
37
Google's reportedly paying SpaceX $920M a month for AI compute through 2029—using 110,000 NVIDIA GPUs in SpaceX data centers. Tells me even Google doesn't have enough compute. AI's no longer just chatbots. It's about GPUs, data centers, power, and infrastructure. SpaceX is
22
4
10
75
🚨 AI might become the biggest political trade in the next decade. Trump wants every American, not just Wall Street or VCs, to own a piece of the AI boom. Sam Altman floated the idea first. Bernie Sanders wants a public AI wealth fund. Trump says the government will look i
26
15
21
224
🚨 $ASML is now connected to Elon Musk’s next big chip plan. $ASML is reportedly bringing Elon Musk into a closed-door employee conference to discuss the $55B Terafab project tied to $TSLA and $SPCX. The key point is simple: Terafab is targeting leading-edge 2nm chips for AI, robotics and space compute. This is not just about $TSLA cars. This is about Musk trying to control the future of AI hardware. Watch: $ASML / $TSLA / $SPCX / $NVDA / $TSM Not financial advice.
🤖 Made with AI
41
10
18
3,884
People still think of $META as just Facebook and Instagram ads, but it's way bigger now. Core data: Price: $593 Today: -$34.78 Market cap: ~$1.52T P/E: ~21.6x Real story: App family = cash machine. AI ads = better targeting. Reels/Threads = attention. Meta AI = ecosys
26
8
13
63
$GOOG isn't just about ads anymore. People still see Google as a search engine, but it's way bigger: Search = steady cash YouTube = eyeballs everywhere Cloud = AI demand Gemini = full AI lineup Android, Chrome, Gmail, Maps = massive reach Waymo = self-driving future
30
6
17
225
$MU is turning into a huge player in the AI infrastructure space. The reasoning is straightforward: AI models keep growing. Data centers are expanding fast. Memory bandwidth is becoming a bottleneck. That's good for Micron. Micron covers HBM, DRAM, NAND, and data-cente
30
8
18
229
🚨 $AVGO is taking a hit, but the AI infrastructure story is still solid. Price: $385.75 Today: -7.92% The market’s just reacting to hype. The real deal is still obvious: AI data centers need more than $NVDA GPUs. They need custom chips, networking, switches, opti
31
10
24
274
$KLAC is way more than just another chip gear stock. Price: $1,929.20 Down: -$201.88 (-9.47%) Market cap: ~$254B P/E: ~54.6x Everyone talks $NVDA, $TSM, $ASML, $MU. But most miss KLA's role. It’s the king of process control and yield. Basically, it finds defects and
30
7
16
151
🚨 $TSLA isn't acting like your typical auto stock right now. Price: $391.00 Down 6.61% today Market cap: ~$1.38T Everyone's focused on car deliveries, but that's just part of the bigger picture. What really powers $TSLA: EV scale Energy storage FSD Robotaxis AI
1
61
🚨 $TSLA isn't acting like a typical car stock. Price: $391.00 Down 6.61% today Market cap: ~$1.38T Everyone's focused on car deliveries, but that's only part of the picture. The real bet is bigger: EVs Energy storage FSD Robotaxis AI robotics Software If Tes
27
13
23
115
🚨 SpaceX just locked in a huge compute deal with Google. Google is paying $920M a month from Oct 2026 to June 2029. That's almost $11B a year just for AI compute. 🔥 It covers about 110,000 $NVDA GPUs plus CPUs, memory, and more. People still think SpaceX is just a roc
20
12
17
104
$MU volatility has been wild the past two days. It shot up from $820 to nearly $1,088 on AI memory and storage recovery hype, then sank back to $927. That doesn't mean the story is broken—just a technical pullback after a fast move. Key support to watch: $857–$879. If it h
27
11
20
267
Goldman Sachs just dropped huge numbers on SpaceX’s AI side. They think SpaceX’s AI revenue could grow 100x by 2030. This isn’t just a small bump. It’s a complete shift in how people see them. 🔥 Everyone still thinks SpaceX is just rockets. Nope. It’s becoming: sate
25
10
15
84
$ASML’s chart is pretty clear right now. It’s trading around $1,757, near the short-term high, so chasing it is risky. Better to wait for a pullback into the $1,714–$1,739 support zone. If that holds, buyers are still around. If it breaks, next support is $1,670–$1,684. B
24
8
19
105