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Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems
Large language models (LLMs) and agentic systems are increasingly proposed for financial trading, yet their reported performance remains difficult to compare because studies vary in data provenance, temporal split discipline, execution timing, turnover treatment, and transaction-cost modeling. This
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