DanielRomero

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The sentiment shift on $META is ridiculous
It shows that most people form their opinions just based on vibes
Recency bias is at ATHs right now
META6.20%
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Who bought the $MU dip?
It got below $900 just two days ago
$MU gives you the returns of a microcap and the volatility of a small cap, all at a $1.1T market cap
MU-1.88%
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DuniaForexCrypto:
Take the opportunity and generate
While the market fears excess compute after the $META news…
$META is reportedly planning to double its data center deployments to 14GW in 2027, up from around 7GW in 2026, per Reuters
Massive acceleration
Now ask yourself: what kind of demand are they seeing to justify that level of capital investment?
META6.20%
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BofA estimates $NVDA annual shipments add up to 99 GW of data center capacity by 2030
That is solely for NVIDIA hardware
Add ASIC and $AMD deployments, and you could get to over 150 GW of installed capacity
So, so bullish for energy and data center plays
NVDA1.80%
AMD1.24%
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$SKHY is over 7 times oversubscribed
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SEMIANALYSIS: Anthropic To Reach $1B in Operating Profit in Q3
This is extremely bullish for the AI supercycle if true
Would be the first solid confirmation that investing in AI compute can, in fact, be profitable
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SEMIANALYSIS: Anthropic To Reach $1B in Operating Profit in Q3
This is extremely bullish for the AI supercycle if true
Would be the first solid confirmation that investing in AI compute can, in fact, be profitable
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BofA believes cheaper Chinese open-weight models are bullish for semis
By lowering the cost of intelligence, they expand usage and broaden deployment, increasing demand for compute, memory, networking, and power infrastructure
The bigger risk is to model economics, not semiconductor demand
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BofA on memory
BofA reiterates its $1550 $MU price target, with Micron as its top memory pick
Memory now represents 35–40% of cloud AI capex, 2–3x historical levels, yet memory stocks still trade at sub-10x forward P/E
BofA believes the market is underestimating the transition toward longer-duration agreements and more predictable pricing
As memory evolves from a cyclical commodity to a strategic AI enabler, multiples should expand
MU-1.88%
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BofA’s Vivek Arya says the current pullback is a healthy reset, not a structural change in AI demand
Near term, he favors lower-beta names such as $NVDA, $TXN, $ADI, $CDNS, and $SNPS
However, BofA expects renewed momentum after a period of consolidation
NVDA1.80%
TXN-0.47%
ADI-0.16%
CDNS0.15%
SNPS-0.55%
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BofA expects global AI infrastructure capex to reach $1.5T by 2027, up 30–50% YoY
Analyst Vivek Arya expects renewed momentum in 2H26 from memory ($MU), compute ($AMD, $INTC), and semicap ($AMAT, $LRCX, $KLAC, $TER), optics ($MTSI) and networking ($CRDO, $MRVL)
MU-1.88%
AMD1.24%
INTC-3.04%
AMAT0.17%
LRCX-1.12%
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Hyperscaler capex is expected to hit 50% of revenue this year
Capex rising faster than revenue is not sustainable indefinitely, which means there are two possible scenarios:
- Revenue starts rising on a relative basis once hyperscalers achieve good ROI on capex
- Hyperscalers will need to slow down capex if ROI is not high enough
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$SPCX analyst price targets are a bit shocking
Morgan Stanley’s target implies a $4T market cap
SPCX-2.33%
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Morgan Stanley:
“We remain bullish long term, based on earnings growth of over 35–40% in 2027 and the ramp of agentic AI. However, in the near term, we are expecting some share price weakness ahead of earnings reporting.
Our stock preferences are where the money is being spent and where bottlenecks are emerging, favoring DRAM and legacy memory over NAND, while memory module makers remain our least preferred.”
MS0.32%
DRAM-5.84%
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$WULF is now below where it was before signing the new Anthropic deal
The main reasons:
1) Overall neocloud weakness lately
2) The sale of its Abernathy stake
This deal had some of the best economics across WULF’s portfolio. The market is probably concerned about how WULF was executing on that site, and whether financing has dried up to the point where the company is being forced to raise capital by selling stakes in its sites
Instead, management frames the sale as a strategic choice to free up executive time and recycle capital into much more profitable wholly owned sites
TeraWulf put $450 mi
WULF-2.60%
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The market just decided to ignore that Samsung trades at less than 6x annualized operating profit (BEFORE Q3 AND Q4 DRAM PRICE HIKES)
All because revenue was slightly below consensus
DRAM-3.18%
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JPMorgan strategist Mislav Matejka says the recent weakness in semiconductor stocks should be used as a buying opportunity
“The risks of renewed flareups remain, but we believe one should keep using any dips on the back of adverse geopolitical headlines in order to add,” wrote Matejka.
The firm’s preferred tech positioning is "semis over hyperscalers over AI at risk plays," with JPMorgan adding that "the latest weakness in SOX and in Korea will be used as an opportunity to add, as semis upcycle is not peaking anytime soon, meaningful supply is not likely to arrive before 2028."
On the Magnific
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The market has no idea what to do with AI at the moment
Price surges have been met with selling, dip-buying seems more moderate now, and no major catalyst seems particularly clear
This market needs one strong earnings season ASAP
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One of the leading companies in laser communication systems, with technology that can compete directly with $SPCX and $RKLB, is absolutely under the radar
This technology will be absolutely crucial for orbital data centers
Moreover, it is already crucial today for defense communications, missile tracking, satellite constellations...
Yet nobody is paying attention to this segment of the company
SPCX-2.33%
RKLB-2.50%
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Samsung Electronics 2Q26 earnings:
→ Revenue: KRW171.0T (+129% YoY)
→ Operating Profit: KRW89.4T (+1,812% YoY)
→ Operating Margin: 52.3%
Revenue slightly missed consensus:
→ KRW171.0T vs KRW172.181T expected
→ Miss: KRW1.18T, or 0.7%
But operating profit beat:
→ KRW89.4T vs KRW87.3T expected
→ Beat: KRW2.1T, or 2.4%
Sequentially, vs 1Q26 guidance:
→ Revenue: +28.6% QoQ
→ Operating Profit: +56.3% QoQ
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