BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting 事件

BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting arXiv:2605.17937v2 Announce Type: replace Abstract: Quantitative backtesting is essential for evaluating trading strategies but remains hampered by high technical barriers and limited scalability. While Large Language Models (LLMs) offer a transformative path to automate this complex, interdisciplinary workflow through advanced code generation, tool usage, and agentic planning, the practical realiz