Ruoxian Zhao

Backtrader-Bench: Benchmarking LLM Agents on Algorithmic Trading with Self-Generated MCQs

Backtrader-Bench, a framework with two complementary pipelines that generates questions from backtest configurations across five trading strategies, 33 templates, and three difficulty tiers, and is designed to produce a training corpus for reinforcement learning, with the ultimate goal of building a specialized agent for quantitative trading workflows.