This episode takes you inside my real-time application of the TIC “RANGEr” framework, spotlighting two market darlings: Axon Enterprise and Super Micro Computer.
The episode is created by asking my own Chat GPT LLM to go through the companies Axon and Super Micro Computer, to see if they are cheap enough from the conservative value oriented lens of my TIC teachings: The Investing Course. The LLM answer has then been fed into the Podreader.ai app to create the resulting audio.
I break down why Axon’s transformation from a TASER maker to a tech-driven platform with powerful recurring revenues and AI-driven tools sets the company apart, even when headlines shout about its seemingly sky-high valuation.
Find out how the RANGEr process helps separate quality compounders from riskier momentum plays, and why Axon’s fundamentals and business model may justify its currently pretty lofty price tag even if its multiple compresses significantly going forward.
In contrast, I compare Axon’s numbers to Super Micro Computer, which has ridden the AI infrastructure wave with explosive numbers but faces cyclical risks and less visibility due to its hardware-centered approach.
You’ll hear my verdict on which of these growth names looks built for the long run and why some high-multiple stocks are far more resilient than they appear at first glance.
If you want actionable frameworks that cut through market hype and help you spot true investment opportunities, you won’t want to miss this one, well that is if you can tolerate gen-AI stuff like this.
If not, I really advocate doing your own research instead. Check out TIC if you want to learn the ropes for real. AI is not quite ready for real investment research, not for anything other than creating a systematic framework, which a real, competent, living person then absolutely needs to adjust to be useful in the complex world of finance and investing.
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