fxyz
Deep Moat Tech
Companies with irreplaceable software stacks — CUDA dominance and self-driving code — will outperform shallow-tech pretenders over time.
Result
If held over the last 3 months (Jul 14, 2026 – Oct 13, 2026): +0.7%. Over the same days: S&P 500 +4.0%, BTC +33.2%.
What it holds
- CUDA Monopoly, 40% of the money, +5.6% over 3 months: NVDA, AVGO. NVIDIA's CUDA stack is the dominant AI compute platform with no credible near-term substitute.
- Self-Driving Code, 25% of the money, −2.1% over 3 months: TSLA, GOOGL. Autonomous driving software leaders hold multi-year data and training moats that new entrants cannot replicate cheaply.
- Foundry & EDA Layer, 12% of the money, +3.4% over 3 months: TSM, ASML. Deep-process semiconductor manufacturers and EDA tools underpin every moat above and are themselves near-impossible to replicate.
- Shallow-Tech Short, 8% of the money, −4.2% over 3 months: against INTC, against AMD. Legacy chip and commodity hardware firms with no defensible software stack are displaced as customers migrate to moat-backed alternatives.
- Cash, 15%.
The plan behind it
NVIDIA's CUDA ecosystem is the closest thing to a natural monopoly in AI compute; switching costs are enormous and the moat compounds with every new model trained on it. Waymo/Tesla-style autonomous driving codebases represent years of real-world miles that cannot be bought or replicated quickly. Semiconductor foundry leaders (TSMC, AVGO) supply the physical layer beneath both moats, adding a hardware dimension to the argument. Cash is held as dry powder to add on dips in these high-conviction names.
What would prove it wrong: A credible open-source or rival stack (e.g., AMD ROCm, Intel Gaudi) captures >20% of frontier model training workloads, or TSMC loses a leading-edge process node to a competitor.
FAQ
Can I make one from my own idea?
Yes. Write what you believe in plain words at https://f.xyz/create. fxyz asks a couple of questions, builds the portfolio and shows how it would have done over the last 3 months.
Can I turn a post on X into a theory?
Yes. Reply to the post and tag @fxyzai. It tests the view in the post and replies with the 3-month result and a link.
What can it trade?
Stocks (Tesla, Apple, Nvidia), crypto (Bitcoin, Ethereum, Solana), pre-IPO companies (OpenAI, Anthropic), indices (Nasdaq 100, S&P 500), commodities (gold, silver, oil, copper) and currencies (EUR/USD, USD/JPY). One theory can mix them, and bet for or against any of them.
How does it react to news?
On each check it reads the last two days of news on its biggest holdings and says whether the idea still holds. It can make one small change at a time: trim or drop one holding by up to 5 points. On autopilot the change waits 10 minutes so the owner can skip it; otherwise it asks first.
How do I run it with real money?
For real money, tap Make it mine, open your copy and choose Use real money, with an exchange connected: Hyperliquid, Lighter, Lighter (Robinhood), Backpack, Pacifica or Binance. The money stays in your own account there. fxyz can place trades, but it can never withdraw.
Can the AI get it wrong?
Yes. fxyz's AI turns the idea into holdings, and it can get that wrong: add a coin or stock that doesn't fit, or miss one that does. Check the holdings before you put money in. In your own copy, ask its chat to add or drop any of them.
What do the 3-month numbers mean?
What $100 would have done holding this mix over the last 3 months, at real prices. It is a what-if, not a record: past or simulated results are no promise of future ones, and nothing here is investment advice.