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MintEval: Do LLMs Implement the Trading Strategy You Asked For? A Behavioural-Equivalence Benchmark for Natural-Language-to-Strategy Code

Wang, Siyu et al.
arXiv (All) · Papers
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computation-and-languagei-2-7j-4machine-learningsoftware-engineeringtrading-and-market-microstructure
Large language models are moving from producing trading signals to writing the code that executes them. The failure mode of the second role is silent: generated code runs, a backtest plots, yet the risk logic that the trader described is not the logic being executed. Existing code benchmarks test fu
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