What survives honest evaluation? Leakage-safe, search-aware assessment of LLM-driven trading strategy discovery
Large language models (LLMs) are increasingly used to discover trading strategies, and much of the resulting literature shares a methodological weakness: many candidate strategies are generated, the best is reported, and neither look-ahead bias nor the intensity of the search behind the reported result is corrected for...