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Eray Gençay

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Preprint Aug 2026

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...

Eray Gençay · 0 citations

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