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AI Bots Auditioning for Wall Street Are Mostly Losing

In a series of public trading contests, leading AI models including Claude, Gemini, ChatGPT, and Grok mostly lost money, overtraded, and made wildly different decisions under identical instructions, highlighting the gap between LLMs and real market trading.

SourceHacker News AIAuthor: izyda
AI Bots Auditioning for Wall Street Are Mostly Losing
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • In Alpha Arena, the AI portfolio lost about a third of its capital, with only six profitable outcomes out of 32.
  • Models showed distinct personalities: Claude preferred long positions, Gemini short, and Qwen high leverage.
  • Experts note LLMs need sophisticated scaffolding and data platforms, and evaluation is hindered by lookahead bias.
  • While some models showed promise in predicting earnings direction, overall AI trading has not demonstrated a lasting edge.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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