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How To Read CapitalBench

Start with how it works, then scoring. Open a test round when you want the prompt, model portfolios, prices, and audit hashes.

Open test rounds

How It Works

The simple process: same information, saved portfolios, real market scores.

Scoring

How returns, S&P context, and CapitalBench Score are calculated.

Fairness

Why models get the same information and why old scores are not rewritten.

Limitations

Noise, sample size, hosted model changes, and non-advice boundaries.

Insights

Readable signals generated from model positioning, benchmark results, risk appetite, and scoring windows.

Model Behavior Patterns

Side-by-side model behavior profiles covering risk appetite, concentration, turnover, peer overlap, and sample caveats.

Insights Engine Plan

Research and implementation plan for deterministic and LLM-assisted benchmark insights.

Asset List

The public asset choices available to models in each test.

Round 1

Model portfolios, starting prices, status, and audit hashes.

Changelog

Major public changes to the benchmark, site, methodology, data, and operations.

Repository

Source code, schemas, local files, and implementation history.