This paper describes a test bench for checking whether large language models (like ChatGPT-style systems) can actually make money in real, live trading rather than just looking smart on historical data. Think of it as a wind‑tunnel for AI trading ideas: you plug an LLM in, let it trade in real-time under controlled rules, and measure if it truly beats the market after costs and risks.
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Executive brief, technical architecture, and market positioning for this use case.
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