Can AI Trade in the Real World? Meet LiveTradeBench

Kari Jaaskelainen

06 Nov 2025 — 1 min read

Can AI really make trading decisions in the messy, fast-changing real world? LiveTradeBench puts large language models to the test with live market data.

Live streams: Real-time prices and news—no offline backtests or leakage.
Portfolio view: Multi-asset allocation with built-in risk management.
Multi-market: U.S. stocks and Polymarket prediction markets, each with different dynamics.

Over 50 live days, 21 LLMs were evaluated. Key takeaways:

High scores on static benchmarks ≠ better trading outcomes.
Models show distinct “portfolio personalities” and risk appetites.
Some LLMs adapt to live signals; others struggle under uncertainty.

Why it matters: Real-world decision-making is sequential, noisy, and uncertain. LiveTradeBench highlights the gap between neat test sets and messy markets—and pushes for evaluations that reward consistency and adaptability, not just clever one-off answers.

Paper: arxiv.org/abs/2511.03628

Educational overview, not financial advice.

Paper: http://arxiv.org/abs/2511.03628v1

Register: https://www.AiFeta.com

AI LLMs FinTech Trading Research Benchmark Markets PortfolioManagement LiveData Polymarket NotFinancialAdvice

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