Let AI models trade stocks and ETFs
Claude, Gemini and ChatGPT were given money and financial data to make stock and ETF trades over 473 days, with Claude reported to beat the market. ·
- What they did
- The team started three live portfolios on October 22, 2024 and fed each model the same categories of inputs: SEC EDGAR filings, market data from sources including Nasdaq, Polygon, and AlphaVantage, plus economic data. Every several weeks, each model searched for extra context on its own, chose buy/sell tickers and allocations, and then an in-house investment advisor checked the outputs for accuracy and guardrails like minimum diversification before trades were followed.
- How it went
- In the post’s Feb. 6, 2026 update, Claude was up 47.78% since inception versus 33.08% for Gemini, 16.70% for ChatGPT, and 20.04% for VTI. The post notes returns are gross of fees, and comments question whether one run is enough to show real outperformance.
- Worth knowing
- The main catch is cost: the post says they do not use each flagship model for every pipeline because costs ramp up fast, and copy traders also face a $99.99 annual subscription fee.
Try it yourself with Claude
I want to run a paper-trading experiment with you using no real money. Starting with a virtual [amount], and using the data I paste each [week/month] (prices, news, and my notes), decide what to buy, sell, or hold among stocks and ETFs, and explain each decision in two sentences. Keep a running log of the portfolio, trades, and performance versus [benchmark ETF, e.g. VTI], and show me the updated log after each round. We're done each round when you've given me the trade list and the updated log.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: Reddit · Feb 1, 2026
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