Robots Beat Memory

Result

Since it started (Oct 1, 2026 – Oct 11, 2026): +3.4%. Over the same days: Chip stocks −9.6%, S&P 500 +0.6%.

What it holds

• Robot brains, 32% of the money, +5.5% over 3 months: NVDA, AMD, AVGO. Every humanoid and every autonomous system runs on AI silicon — the chip layer gets paid first.
• Humanoid makers, 20% of the money, +30.0% over 3 months: TSLA. Tesla is the only listed name shipping a humanoid programme at scale, so it carries the maker sleeve alone.
• Fabs & picks-and-shovels, 9% of the money, +4.2% over 3 months: TSM. Whoever wins the robot wars, the chips still get fabbed in Taiwan.
• Automation software, 9% of the money, +59.2% over 3 months: PLTR. Fleets of robots need software to orchestrate them — the autonomy layer is where recurring revenue lives.
• Short memory, 18% of the money, −3.9% over 3 months: against MU, against SKHX, against SNDK, against DRAM. Memory is commoditised and cyclical — AI demand already priced in, and robots don't need the PC/phone memory cycle.
• Cash, 13%.

The idea

Humanoid and industrial robots are moving from demos to deployment, and the money follows the brains, the makers, and the fabs that build their silicon. Memory is the loser side of the trade — commoditised, cyclical, and still dependent on a PC/mobile cycle that robots don't need. We hold robotics long across the whole stack (chips, humanoid builders, foundries, autonomy software) and run a smaller short against the biggest memory names as the explicit counter-bet. Cash sits in USDC as a buffer between rebalances.

What would prove it wrong: Humanoid shipments stall for a full year, OR memory names structurally de-rate (so the short leg stops paying), OR AI silicon demand breaks.

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.