BacktestBench is the first large-scale benchmark for LLM-automated quantitative backtesting, with 18,246 QA pairs from real market data and a multi-agent baseline called AutoBacktest.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BacktestBench: Benchmarking Large Language Models for Automated Quantitative Strategy Backtesting
BacktestBench is the first large-scale benchmark for LLM-automated quantitative backtesting, with 18,246 QA pairs from real market data and a multi-agent baseline called AutoBacktest.