I made AI trading bots compete to make money… (insane results)
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Three AI trading teams — Claude, ChatGPT, and MiniMax — each with four specialized agents (captain, researcher, strategist, scribe) were given $500 in paper trading on Hyperliquid for 4 hours, with ChatGPT’s team winning at $56 profit despite its scribe only executing 3 of 41 captain-ordered trades. A key finding was that LLMs default to overly conservative trading because they’ve absorbed the collective emotional biases of millions of losing human traders, with MiniMax refusing to trade for 12 straight cycles before finally acting. All three teams were profitable but underperformed expectations, leading to plans for improved inter-agent communication and more aggressive strategy directives in future challenges.
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