Backtrader-Bench (No Tools): leaderboard

Backtrader-Bench (2026) tests LLM coding agents on algorithmic-trading questions whose answers come from executing Backtrader backtests, as four-option multiple choice with chance 25 percent. Accuracy on the curated 30-question set answered from parametric knowledge with tools disabled, averaged over ten runs, in percent; higher is better.

Metric: Accuracy (%; mean of 10 runs on the curated set of 30 four-option multiple-choice questions whose answers come from executing Backtrader backtests of five trading strategies on AAPL daily data 2020-2024 (10 easy, 10 medium, 10 hard); answered from parametric knowledge through the Cursor SDK with every tool disabled; chance 25%). Source: arxiv.org. Saturation forecast: Around February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)73#91
2Claude Opus 4.773#75
3GPT-5.3 Codex69.3#114
4GPT-5.568#48
5Claude Sonnet 4.667.3#158
6Claude Opus 4.664.3#100
7Grok 4.359.3#332
8Kimi K2.555.7#252
9Gemini 2.5 Flash49#452

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=backtrader-bench-no-tools · How It Works · Data refreshed daily, snapshot 2026-11-12.