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WEEKLY VIBE

This was a relief-rally week first, then an AI-fundamentals week. Lower oil and hopes of Middle East de-escalation helped pull investors back into big tech, while ASML, TSMC, and several power-infrastructure updates reminded the market that the AI buildout is still very real, and still getting more expensive in electricity, chips, and long-term commitments.

📸 Snapshots

📊 MAG7 ETF SNAPSHOT - 4/13 → 4/17

ETF (Ticker)

% Change

Roundhill Magnificent Seven (MAGS)

📈 +7.60%

📊 MAG7 SNAPSHOT - 4/13 → 4/17

Company (Ticker)

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Earnings: Apr. 29

📈 +6.30%

Earnings: Apr. 29

📈 +5.10%

Earnings: Apr. 30

📈 +3.70%

Earnings: Apr. 29

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Earnings: Apr. 29

📈 +8.50%

Earnings: May. 20

📈 +6.50%

Earnings: Apr. 22

📈 +13.70%

📊 INDEX SNAPSHOT - 4/13 → 4/17

Company (Ticker)

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Dow (^DJI)

📈 +2.50%

NASDAQ (^IXIC)

📈 +5.50%

S&P (^GSPC)

📈 +3.50%

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🌐 Shared Catalysts

  • Macro relief helped almost everything. Oil dropped sharply and Wall Street hit fresh records after the Strait of Hormuz reopened, easing inflation fears and lifting long-duration tech.

  • AI chip demand still looks strong. ASML raised its 2026 outlook, and TSMC posted strong first-quarter growth and a higher revenue view, which matters for Nvidia and the hyperscalers buying AI infrastructure.

  • Power is now part of the AI story. NiSource signed a long-term deal tied to an Alphabet data center and expanded its Amazon agreement, while FERC said it plans to act by June on rules for connecting huge new data-center loads to the grid.

The Magnificent Seven

💾 Nvidia (NVDA)

Nvidia did not get one giant company headline, but the week’s supply-chain numbers said the AI machine is still running hot.

What happened: ASML raised its 2026 outlook on April 15, and TSMC followed with stronger first-quarter results and a higher revenue view on April 16.

Why it mattered: Those are not Nvidia press releases, but they matter a lot for Nvidia because they are two of the most important proof points that AI chip demand is still showing up in real orders, real production, and real factory spending.

Impact: Nvidia benefited from hard evidence that AI demand is still translating into real money across the chip chain.

📦 Amazon (AMZN)

Amazon made the cleanest strategic move of the week.

What happened: Amazon agreed to buy Globalstar for $11.57 billion, using its satellites, spectrum, and operating know-how to add direct-to-device service to Amazon Leo. Amazon and Apple also said Amazon Leo will support satellite services for iPhone and Apple Watch, while Globalstar said Amazon’s own next-generation direct-to-device system is expected to start in 2028.

Why it mattered: This was one of those deals where the strategy is obvious on day one: Amazon wants a stronger answer to Starlink.

Impact: Amazon turned a lagging space effort into a much more serious platform story.

Tesla (TSLA)

Tesla’s stock ripped higher into earnings week, and Europe gave the autonomy story a real catalyst.

What happened: Reuters reported on April 13 that the Dutch regulator had notified the European Commission it plans to seek EU-wide approval for Tesla’s supervised FSD software. Week-of coverage from Autoweek and Yahoo Autos reinforced the bigger point.

Why it mattered: Europe has moved from “maybe someday” to a real regulatory path, even though the system still requires full driver attention and the rollout will likely be gradual.

Impact: Europe did not answer Tesla’s biggest questions, but it gave investors a fresh reason to stay focused on autonomy.

🕶 Meta (META)

Meta kept saying the same thing in a more expensive way: it is not slowing down on AI.

What happened: Broadcom and Meta expanded their partnership through 2029, with Broadcom saying the companies are working on next-generation AI accelerators and the industry’s first 2-nanometer AI compute accelerator for Meta’s MTIA program. Meta said it is developing and deploying four new generations of MTIA chips within the next two years.

Why it mattered: That matters because Meta is trying to lower long-term dependence on off-the-shelf chips while still spending aggressively on AI.

Impact: Meta made its AI spending look more deliberate, and more durable, than a simple “buy more GPUs” story.

🔍 Alphabet/Google (GOOGL)

Alphabet had a strong week, but its own news flow showed both sides of the Google story: more AI infrastructure, more regulatory pressure.

What happened: NiSource signed a long-term agreement tied to an Alphabet data center in northern Indiana, with service expected to begin in summer 2026. Then the European Commission proposed forcing Google to share some search data, including with AI chatbots that have search features.

Why it mattered: One headline supports the AI buildout. The other reminds investors that Search is still the profit engine regulators most want to crack open.

Impact: Google’s week said growth is still real, but the moat is facing more pressure than the stock move alone suggests.

🍎 Apple (AAPL)

Apple’s clearest stock-supportive data point came from China.

What happened: Counterpoint said Apple’s iPhone shipments in China rose 20% year over year in the first quarter, the fastest growth among major brands, even as the overall market fell 4%. That landed at a useful moment with Apple’s next earnings report due on April 30.

Why it mattered: China has been one of the market’s biggest Apple worry points, so a real rebound there matters more than a flashy product rumor.

Impact: Apple did not need a big AI headline this week. It needed proof that demand in China had not cracked.

💻 Microsoft (MSFT)

Microsoft had the biggest Mag7 bounce, and the news flow backed the idea that Azure’s AI buildout is still expanding.

What happened: On Tuesday, Microsoft said it plans to buy about 3,200 acres in Cheyenne for a new data-center development. Two days later, it and Stellantis announced a five-year partnership covering more than 100 AI initiatives, plus cybersecurity work and more Azure use.

Why it mattered: Investors did not get one giant Microsoft headline this week. They got something more useful: proof that Microsoft is still adding both physical capacity and enterprise demand.

Impact: Microsoft looked more like the infrastructure layer of the AI trade than a stock waiting for earnings.

🔗 Mag7-Linked Stocks

Globalstar (GSAT): Amazon’s takeover instantly turned Globalstar from a niche satellite name into a core part of Amazon Leo’s direct-to-device push, with Apple also staying in the picture for satellite features on iPhone and Apple Watch.

Impact: Globalstar went from partner to strategic asset.

NiSource (NI): NiSource became a very visible “picks and shovels” winner of the AI buildout after tying new or expanded power arrangements to Alphabet and Amazon data-center demand in Indiana.

Impact: AI is now moving utility stocks, not just chip stocks.

🌊 Ripple Effect (market wrap)

  • The AI story moved one step downstream this week, from chips to electricity and grid access.

  • Meta’s custom-chip push helped Broadcom, but it also reminded investors that some hyperscalers want more control over costs and supply.

  • Amazon’s Globalstar deal showed that satellite connectivity is becoming part of the big-tech platform battle, not a side project.

  • Apple’s China rebound mattered because it cut against one of the market’s louder bearish talking points.

🔮 What’s Next

  • Apr. 22: Tesla earnings. Investors will care at least as much about autonomy commentary as the quarter itself.

  • Apr. 29: Microsoft, Alphabet, Amazon, and Meta all report. That is a big cluster for cloud, ads, and AI-spending commentary.

  • Apr. 30: Apple reports, with fresh China demand data now part of the setup.

  • May 20: Nvidia reports, which should reset the entire AI trade again.

🧩Closing Insights

This week started as a macro relief rally, but it ended with something sturdier: real evidence that AI demand, AI power needs, and AI competition are still shaping the whole Mag7 trade.

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