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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

One frozen brief, one scored decision, no model tools, and real market prices.

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 Benchmarks

Side-by-side model behavior profiles covering risk appetite, concentration, turnover, Portfolio Difference, 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.