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#quant-finance

1 curated events
papersSEP 10 04:00 UTC

EvoQuant paper proposes self-evolving LLM approach to optimize quant trading strategies

Researchers present EvoQuant, a framework in which large language models iteratively refine quantitative trading strategies while a verifier evaluates each candidate revision. The approach targets tasks that analysts traditionally handle manually, such as spotting weak signals and tuning risk-control rules. A revised version of the paper is available on arXiv.

llm/agents/quant-finance/automation