fxyz
AI runs out of memory chips, makers cash in
AI is eating so much memory that there won't be enough, so memory chip makers and their suppliers will gain.
Result
If held over the last 3 months (Jul 24, 2026 – Oct 23, 2026): −13.1%. Over the same days: Chip stocks −6.9%, S&P 500 +4.0%.
What it holds
- Memory makers, 41% of the money, −16.8% over 3 months: MU (Micron), SKHX (SK Hynix), SMSN (Samsung), SNDK (Sandisk), DRAM (Memory chip basket). The few companies that make memory get to charge more when it runs short.
- Memory tool makers, 23% of the money, −23.3% over 3 months: AMAT (Applied Materials), LRCX (Lam Research), ASML. If memory is short, makers build more factories and buy more machines.
- AI chip buyers, 18% of the money, −2.0% over 3 months: NVDA (Nvidia), AMD, AVGO (Broadcom). AI chip demand is what makes memory scarce.
- Memory squeeze losers, 9% of the money, −7.0% over 3 months: against AAPL (Apple). Companies that buy memory for everyday gadgets may pay more and lose profit.
- Cash, 10%.
The plan behind it
AI chips need huge amounts of fast memory, and only a few companies make it. We hold the memory makers first, since they sell the scarce thing. Next come the companies that make the machines and parts for building memory. Last are the AI chip buyers, who need the memory to keep growing. A small short on a PC and phone chip user gives balance if memory costs squeeze them. The cash lets us buy more if prices dip.
What would prove it wrong: Memory prices start falling and memory makers say they have more chips than buyers want.
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.