Technical analysis by A3MInvestments about Symbol NVDAX: Sell recommendation (11/30/2025)

🌎NVIDIA: At the Peak or the Brink? Nvidia's record highs are accompanied by warning signs. A market cap of $4.37 trillion and a P/E ratio of 51 indicate inflated expectations. Risks: Speculative demand: The $23.7 billion investment looks like an artificial market pump. Macro threats: The AI ​​boom will face energy shortages. Historical parallel: The scenario mirrors Cisco's pre-dot-com bubble. Fierce competition: AMD, Intel, and cloud giants are creating their own chips. Growth drivers: Leadership in AI, a closed CUDA ecosystem, and 66% data center revenue growth. Nvidia is a leader, but its shares have become a high-risk asset. Any slowdown in business performance will lead to a collapse in the stock price. The baseline scenario is a broad sideways trend.we'd like to add a little information to post. Everyone is talking about Nvidia's expensive chips for training AI. But the real battle for money and influence has already shifted to another area—inference, or the use of ready-made models. Google and Amazon aren't chasing after more powerful chips than Nvidia. Their goal is to create cheaper and more efficient specialized chips (TPUs, Inference) specifically for running pre-trained models. Why is this important? Scale: The number of AI requests (inference) will far exceed the volume of AI training. Economics: Why pay for a Ferrari (Nvidia chip) when a Toyota (optimized chip for a specific task) will suffice for the daily commute? Nvidia's weak point is price. Hyperscalers are forced to buy Nvidia GPUs for training, but they are doing everything they can to reduce their dependence on them for mass inference. The reason is margins and control. Having their own vertical stack (from their hardware to their cloud) allows Amazon and Google to offer inference at a lower cost. In the long run, their investments in their chips pay off. Nvidia will likely remain the king in training the most complex models. But the gigantic and growing inference market will be fragmented among those who control the infrastructure: cloud platforms with their specialized chips. This threatens Nvidia with the loss of the most valuable part of the market and makes its future revenue less predictable.