Hedge-Bench - Competitive Positioning: leaderboard

Hedge-Bench 1.0 (Trata, 2026) tests agents on 102 open-ended financial-analyst research tasks built from recorded hedge fund analyst discussions, run with the Terminus 2 agent over a sandboxed document corpus and graded by an LLM judge against the expert analysts rubric moves. This board is the mean dense rubric score (0 to 4, where 4 needs full theme coverage plus a synthesis of conflicting evidence) on the competitive positioning tasks; higher is better.

Metric: Macro dense mean rubric score (out of 4) on the Competitive Positioning task category: each trial scores 0 to 4 by the themes it covers, 4 only with full coverage plus a synthesis that reconciles conflicting evidence, averaged within each task and then over the tasks where the model had a valid run; 102 open-ended financial-analyst research tasks derived from recorded expert analyst discussions, run in the Harbor harness with the Terminus 2 agent over a sandboxed document corpus, eight trials per task, graded by a Gemini-3.1-Pro judge against expert rubric moves with hallucination-supported moves discounted; higher is better. Source: arxiv.org. Saturation forecast: Around March 2028. 8 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.61.95#161
2Claude Opus 4.71.74#79
3Gemini 3.5 Flash1.65#101
4GPT-5.51.62#49
5Claude Opus 4.81.26#56
6Claude Haiku 4.51.24#568
7Gemini 3.1 Pro (Preview)0.97#94
8GPT-5.4 Mini0.8#389

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

Interactive version: theaggregate.ai/benchmark?slug=hedge-bench-competitive-positioning · How It Works · Data refreshed daily, snapshot 2026-11-13.