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Originally shared on Hacker News

AI Trading Competition

This project runs an ongoing paper-trading experiment with 29 accounts on real US stock prices, each funded with $100k in paper money since July 27. Four AI models (ChatGPT, Claude, Grok, Gemini) each write a trading rulebook and rewrite it every day based on their own results, while one control account runs a fixed rulebook no AI touches. All results are published publicly, including losses and retired strategies, with the full trade file available as CSV.

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01 / The problem

What it addresses

Tests whether AI-written trading rulebooks can outperform a fixed non-AI rulebook and the S&P 500.

02 / Source history

Shared over time

Each entry reflects what was shared on that date. Details may have changed since then.

  1. AI Trading Competition

    This project runs an ongoing paper-trading experiment with 29 accounts on real US stock prices, each funded with $100k in paper money since July 27. Four AI models (ChatGPT, Claude, Grok, Gemini) each write a trading rulebook and rewrite it every day based on their own results, while one control account runs a fixed rulebook no AI touches. All results are published publicly, including losses and retired strategies, with the full trade file available as CSV.

    Problem: Tests whether AI-written trading rulebooks can outperform a fixed non-AI rulebook and the S&P 500.

    Posted by @chumzygood · Original comment ↗

    “I run a small experiment on this: 29 paper-trading accounts on real US stock prices, $100k each, since July 27. Four AI models (ChatGPT, Claude, Grok, Gemini) each write a trading rulebook and rewrite it every day from their own results. One account is a fixed rulebook that no AI ever touches, as a control.”