fxyz
Cloud Data Tables
AWS S3 Tables and similar managed table-format products are growing very fast, benefiting cloud hyperscalers, data infrastructure hardware, and AI-adjacent compute.
Result
If held over the last 3 months (Jul 12, 2026 – Oct 11, 2026): +5.2%. Over the same days: S&P 500 +3.2%, BTC +29.7%.
What it holds
- Hyperscaler Core, 40% of the money, +12.8% over 3 months: AMZN, MSFT, GOOGL. Amazon directly monetizes S3 Tables growth while Microsoft and Google compete and co-benefit from enterprise data platform expansion.
- Memory & Storage Hardware, 25% of the money, −5.6% over 3 months: MU, SNDK, DRAM. Explosive growth in managed cloud tables drives demand for DRAM and NAND, the physical substrate of all cloud storage.
- Semiconductor Enablers, 20% of the money, +4.0% over 3 months: NVDA, AVGO, AMD. Rising cloud data workloads require more compute silicon — GPUs, networking chips, and advanced logic — to process and index table data at scale.
- Cash, 15%.
The plan behind it
Amazon is the direct beneficiary as S3 Tables is an AWS product driving storage and compute revenue. The rapid growth of cloud data products requires massive investment in DRAM, NAND, and semiconductor infrastructure. Microsoft and Google compete in the same data lakehouse space and also benefit from rising enterprise data workloads. Cash is held as dry powder given macro uncertainty around cloud capex cycles.
What would prove it wrong: AWS reports slowing storage revenue growth or enterprise data lake adoption metrics plateau for two consecutive quarters.
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.