To The Moon

$NVIDIA(NVDA)$ $Intel(INTC)$ $Advanced Micro Devices(AMD)$ I’m extremely confident that NVIDIA’s latest move into “physical AI” marks a structural inflection point not just for the company, but for how markets will begin to value compute in robotics. This isn’t just a chip cycle; it’s the architecture for automation across logistics, healthcare, and manufacturing.

🤖 Jetson Thor: Physical AI Comes Alive

NVIDIA just launched its Jetson AGX Thor robotics platform, delivering 7.5x the compute of Orin at 3.5x the efficiency, powered by the new Blackwell GPU. Early adopters like Amazon Robotics, Boston Dynamics, Caterpillar, Meta, and Figure signal both industrial scale and social scale adoption. Priced at $3,499, the entry point is strategic: accessible for labs, yet powerful enough for commercial deployment. I’m fully convinced this is the robotics backbone that’ll parallel CUDA’s impact on AI software.

Powered by Blackwell, the Jetson AGX Thor delivers 7.5x more AI compute and 3.5x greater energy efficiency. This platform unlocks real-time reasoning inference, a breakthrough that’s critical for highly performant physical AI applications.

The vision is straightforward yet transformative: enabling robots to interact intelligently and in real time with both people and the physical world. That’s the foundation of a true robotics revolution.

It’s no surprise that early adopters include Meta, Amazon, and Figure. At a retail price of $3,499, the accessibility combined with compute power makes it a compelling entry point into the next era of AI-driven automation.

I can’t help but note the timing, arriving just ahead of earnings! Robotics is poised to become one of Nvidia’s most powerful growth engines over the coming decade, and the runway here looks nothing short of gigantic 🚀

📊 Price Action and Options Pulse

As of this writing, $NVDA is trading at $181.78, up +2.13% intraday. The 4H and 5M Keltner/Bollinger overlays show price pressing into upper bands, suggesting continuation momentum into resistance. I’m watching $183 as the immediate upside pivot, while $178 now acts as reclaimed support from yesterday’s flush.

Options flow confirms the bullish lean: $37M+ in single-leg calls under 90DTE, versus just $18M in puts sold. The $182.5C strike expiring 09Sep traded over 5,500 contracts with $2.9M in premium, clear positioning into earnings.

The gamma exposure (GEX) landscape is even more telling. The Sept 19 expiry shows a $196M cluster with call resistance at $190 and put support at $140, effectively pinning $NVDA in a corridor but leaving a breakout window if flows escalate. I’m confident traders are bracing for a volatility spike with expected moves stretching 10 to 40+ points by year-end.

📈 Macro CapEx Context

Big Tech’s AI binge continues: $88B in Q2 alone from $AMZN, $GOOG, $MSFT, and $META, building out data centers at unprecedented velocity. This isn’t marginal spend; it’s foundational CapEx underpinning future AI demand. I’m convinced NVIDIA sits at the apex of this curve, not as a vendor, but as the defining bottleneck in compute capacity.

🧭 Forward Catalyst: Earnings 27Aug25

Consensus expects EPS of $1.01 on $46B in revenue, but Wedbush highlighted a 10:1 demand-to-supply ratio for NVIDIA’s “golden chips” from checks in Asia. That’s not a forecast; it’s a structural imbalance. When Jensen Huang takes the stage, both Wall Street and Silicon Valley will recalibrate positioning. I’m tactically positioned ahead of this, recognising that any commentary on robotics adoption, supply chain easing, or China demand could swing implied vol into realised momentum.

⚡ Comparative Context: Intel and Policy

Trump confirmed the U.S. now owns 10% of $INTC in an $11B deal, reframing semiconductor security as state policy. Intel’s option score hit a max 5, with flows pressing bullish near $24–25. I’m watching this not as a rival to NVIDIA, but as a signal: semis are no longer just tech, they’re sovereignty.

🎯 My Positioning and Targets

I’m long $NVDA from $176.32, currently sitting on +$5,163 in unrealised gains at $181.49. I’m confident holding through the earnings catalyst given both options flow conviction and macro CapEx tailwinds. Near-term, I’m targeting $190 as a momentum breakout, with extended Fibonacci confluence near $196. Should earnings exceed, I’m deeply focused on the potential repricing into the $200–220 range before year-end.

Magnificent Seven returns this year:

1. $NVDA Nvidia: +33%

2. $META Meta: +29%

3. $MSFT Microsoft: +21%

4. $GOOGL Alphabet: +9%

5. $AMZN Amazon: +4%

6. $AAPL Apple: (9%)

7. $TSLA Tesla: (16%)

🔑 Final Conviction

I’m unequivocally optimistic that NVIDIA’s robotics push and supply/demand imbalance set the stage for a volatility cycle that rewards tactical positioning. This isn’t just a trade; it’s a transition in narrative, from GPUs as enablers of AI models to GPUs as enablers of physical AI.

Are you preparing for NVIDIA’s earnings catalyst as a volatility trade, or are you framing it as a longer-term thesis on AI infrastructure? Are you long or short going into this week's earnings report?

Implied volatility is +/-7%.

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Trade like a boss! Happy trading ahead, Cheers, BC 📈🚀🍀🍀🍀

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