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Quant Arena / Research benchmark

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Ideas meet the market.

How well can AI turn data into a working strategy? A shared test of quantitative research, measured in daily stock selection.

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Task
Daily stock selection
Evaluation period
2022–2024
Track
Vanilla / Iterative research

Leading results

Overall score · Reference included

The results

A common ground for comparison.

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VanillaTop 20 · Overall ranking

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Top 20 Vanilla runs. Ranks are based on overall score. In-sample: 2022–2023. Out-of-sample: 2024. Return and risk metrics: 2024.
Model
Fetching published runs from Quant Arena…

Each row is a published run, including different reasoning efforts. Ranks follow the overall score.

Return and risk metrics: out-of-sample, 2024.

Reading the benchmark

Beyond a single number.

How runs are scored
Research, then evaluation.
Agents develop strategies on 2022–2023 data. The out-of-sample evaluation tests those strategies on 2024.
Return alongside risk.
ARR measures annualized return. Sharpe measures risk-adjusted return. Maximum drawdown shows the largest peak-to-trough loss.
A reference point.
Kepler-1 is a proprietary strategy developed by Einsia AI, shown as a reference model. Its construction is not disclosed.