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SUMMARY
Amit Kukreja and guest analyst Jason provide an in-depth review of a record-setting day for the S&P 500, dissecting the ongoing market rotation toward semiconductors, data center infrastructure, and AI-adjacent stocks. The episode covers a wide array of earnings reports, technical analysis of major tickers, and the shifting landscape for software and hardware equities in the context of AI-driven demand.
MAIN POINTS
- S&P 500 reaches an all-time high, driven by optimism over Iran negotiations and semiconductor momentum.
- SpaceX signs a major compute deal with Anthropic, leveraging XAI's GPU resources and turning excess capacity into a Neocloud offering.
- Anthropic increases cloud code limits and the compute arms race intensifies, benefiting memory and optics suppliers.
- JP Morgan warns rising AI token and GPU costs are compressing margins for software companies, impacting stocks like Meta and Shopify.
- Quantum computing stocks rally after INFQ wins a government contract, highlighting divergence between semiconductors and the broader market.
- Market closes with S&P 500 up 1.39%, Nvidia and Google strong, but software names like Shopify and Palantir struggle to gain traction.
- Earnings season kicks off with mixed results: Warner Brothers and Symbotic miss on EPS, Kratos and Coherent show strength, ARM beats expectations.
- Fastly plunges after earnings despite beating EPS, while DoorDash and Applovin experience volatile after-hours trading.
- Fortinet surges 20% after a significant earnings beat, outperforming other cybersecurity peers.
- Dutch Bros and IO and Q deliver double beats, while ARM and Applovin's post-earnings rallies fade as market sentiment shifts.
- ARM reverses from a loss to a double-digit gain after highlighting strong data center CPU demand in its earnings call.
- Software stocks continue to face skepticism despite positive earnings, with market focus remaining on AI hardware and infrastructure.
- Beyond Meat misses revenue expectations, and Snap ends its partnership with Perplexity, reflecting broader challenges for non-AI-adjacent names.
- DoorDash rebounds sharply after initial post-earnings drop, as guidance and profitability metrics exceed expectations.
- Whirlpool reports declining sales and negative free cash flow, while Fluence surges 24% after earnings in the energy sector.
- ARM's earnings call emphasizes record data center chip demand, reinforcing its position as a key AI compute platform.
- Aurora Innovation's earnings reveal minimal revenue and significant losses, highlighting the speculative nature of some high-valuation growth stocks.
- Redwire misses on both EPS and revenue, with dilution concerns adding to post-earnings pressure.
- Technical analysis segment begins, focusing on the S&P 500's momentum, potential pullbacks, and the structural bull market in AI infrastructure.
- SPY technicals suggest a strong bull trend driven by AI data center buildout, with macroeconomic risks having limited impact on hardware-oriented stocks.
- Market rotation continues to favor semiconductors and data center suppliers, while software and consumer staples lag.
- SMH and Micron technicals highlight the challenge of entering parabolic moves, with traders advised to seek consolidation and breakout setups.
- Momentum trading strategies are emphasized, with traders advised to manage position sizing and take profits in volatile conditions.
- Space sector analysis underscores long-term catalysts for Rocket Lab and others, while short-term moves depend on new revenue lines and supply constraints.
- Neocloud and AI infrastructure stocks like Nebius and Coreweave enter active breakouts, with high beta requiring disciplined stop-loss management.
- Debate over software sector's future intensifies, with high-multiple, non-AI-adjacent names struggling despite strong growth rates.
- Intel and Nvidia technicals indicate potential for further parabolic moves, driven by expanding addressable markets and AI-related demand.
- Broadcom and other chip names are positioned for momentum trades into earnings, while post-earnings volatility remains high across the sector.
- Bitcoin and crypto-related equities are analyzed, with technical setups suggesting further upside after recent consolidations.
- Market euphoria is tempered by reminders that post-earnings land grabs will eventually give way to clear winners and losers as AI-driven demand matures.
- Chicago meetup and community engagement details are shared, with a focus on ongoing trader education and system development.
DETAILED ANALYSIS
The trading session was marked by the S&P 500 reaching a new all-time high, closing at 7,338.6, up 1.39% for the day. This surge was attributed to a combination of easing geopolitical tensions in the Middle East, particularly optimism around Iran negotiations, and a powerful rally in semiconductor and AI infrastructure stocks. Oil prices declined, further supporting risk appetite.
Nvidia, a central player in the AI hardware ecosystem, posted a 5% gain, while other chipmakers such as Sandis, SMCI, and Hut experienced outsized moves, with Hut up 34% and OSS up 57% at one point. The market's rotation away from traditional software names toward hardware and data center plays was evident, with companies like Meta and Microsoft trading flat, and software stocks like Shopify and Palantir unable to attract sustained buying interest.
A major development was SpaceX's agreement with Anthropic to provide access to Colossus 1, a massive GPU cluster originally acquired by XAI. This move effectively transforms SpaceX's excess compute capacity into a Neocloud offering, positioning the company to capture revenue streams from AI model providers like Anthropic, which is expected to spend billions on compute over the coming years. The deal not only enhances SpaceX's financial profile ahead of a potential IPO but also signals a broader trend of monetizing idle AI infrastructure, a strategy that could be emulated by other tech giants.
The earnings season brought a flurry of results across sectors. Warner Brothers missed EPS expectations but saw limited stock reaction due to its pending acquisition. Symbotic missed EPS by 86% but grew revenue 23% year-over-year.
Kratos and Coherent delivered solid growth, with Kratos up 7% on the day. ARM Holdings, a focal point for the session, reported a modest beat on both revenue and EPS, but the stock's after-hours performance was highly volatile, swinging from gains to losses as investors digested guidance and commentary on data center CPU demand. Fastly experienced a sharp post-earnings decline despite a 44% EPS beat, reflecting the market's unforgiving stance toward software and infrastructure names lacking clear AI adjacency or new revenue streams.
Fortinet stood out with a 20% surge after a significant earnings beat, outperforming cybersecurity peers like CrowdStrike and Palo Alto Networks, which have struggled to meet the market's elevated expectations. DoorDash and Applovin also saw dramatic after-hours swings, with DoorDash ultimately rallying 14% despite missing revenue estimates, as profitability metrics and guidance reassured investors. Applovin's initial post-earnings pump faded, underscoring the market's skepticism toward software names, even those with strong growth and guidance.
Technical analysis dominated the latter half of the session, with guest analyst Jason providing detailed breakdowns of major indices and leading stocks. The S&P 500's upward trajectory was framed as a generational bull market driven by the AI data center buildout, with macroeconomic risks such as inflation and unemployment seen as secondary to the secular demand for compute infrastructure. The discussion emphasized that hardware-oriented stocks, particularly those supplying semiconductors, memory, and optics, are largely insulated from traditional macro headwinds due to insatiable AI-driven demand.
The semiconductor sector's parabolic moves were dissected, with SMH, Micron, and AMD highlighted as examples of momentum trades that require careful entry and exit strategies. Traders were advised to seek consolidation and breakout setups rather than chase extended moves. The importance of position sizing, stop-loss discipline, and trading around core positions was stressed, given the high volatility and beta of leading AI infrastructure names.
The conversation turned to the ongoing bifurcation in the market, where semiconductors and data center suppliers continue to attract capital at the expense of software and consumer staples. Even within the software sector, only those companies closely tied to AI or hardware—such as Cadence and Synopsys—are able to participate in the rally. High-multiple, non-AI-adjacent software names like ServiceNow, Palantir, and Applovin remain under pressure, regardless of strong reported growth, as the market questions the terminal value of their business models in an AI-dominated landscape.
The space sector was also addressed, with Rocket Lab and related names positioned as long-term beneficiaries of government contracts and the evolving commercial space race. However, short-term price action remains dependent on the introduction of new revenue lines and the ability to demonstrate supply constraints or margin expansion.
Breakout trades in Neocloud and AI infrastructure stocks such as Nebius and Coreweave were analyzed, with technical setups suggesting further upside but also highlighting the need for wide stop-losses due to elevated volatility. The discussion underscored that in the current environment, double beats on earnings are no longer sufficient to drive sustained rallies; instead, investors are rewarding companies that unveil fundamentally new lines of business or demonstrate clear supply-driven pricing power.
The debate over the future of software stocks intensified, with the consensus being that high-multiple, non-AI-adjacent names will continue to struggle until they can convincingly demonstrate AI integration or new addressable markets. Even marquee names like Adobe and DataDog are facing skepticism, while companies like Palantir and Applovin are unable to sustain rallies despite robust growth rates.
Technical setups for Intel, Nvidia, and Broadcom indicated potential for further parabolic moves, driven by expanding addressable markets and the shift toward 1:1 CPU-to-GPU ratios in AI data centers. The market's focus on pre-earnings runups was highlighted, with traders advised to capture momentum ahead of catalysts and avoid gambling on post-earnings reactions, which remain highly unpredictable.
The episode concluded with an analysis of Bitcoin and crypto-related equities, where technical patterns suggest further upside following recent consolidations. The broader message was that while the current market environment is characterized by euphoria and a land grab for AI-adjacent opportunities, the eventual winners will be those companies that can sustain growth through genuine innovation and market expansion. As the AI-driven demand stack matures, clear distinctions will emerge between lasting winners and speculative runners.
Community engagement and ongoing trader education were emphasized, with details shared about an upcoming Chicago meetup and the importance of developing individualized trading systems. The overarching theme was that success in the current market requires adaptability, rigorous technical analysis, and a willingness to rotate capital into emerging areas of strength as the AI revolution reshapes the investment landscape.
LINKS
- Amit Kukreja's Twitter/X profile for market commentary and updates.
- Amit's Deep Dives Substack for in-depth stock analysis and research.
- AK Media News, Amit Kukreja's new website for market news and resources.
- Amit Kukreja's Instagram for additional content and community updates.
- Registration link for the Chicago meetup event.