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AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment
Large language model agents can discover alphas, yet current methods have three weaknesses. The search cannot adapt during the run, automation usually ends at alpha generation while library selection and model choice stay manual, and alpha discovery can read the test window through loop feedback or
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