Simreal-AI/Xitadel-QuantBench
[Public preview] The first public quant trading benchmark scored against what professional traders actually made on the same asset
About the project
An open benchmark for evaluating AI agents on quantitative trading: an agent writes a Python strategy, it is replayed on an unseen market day and scored against real human traders' results.
Useful for
- Evaluate an LLM agent on a market-making task using historical order books
- Compare model strategies against real human traders on the same day
- Test your own trading strategy on the published training episodes
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 0 stars so far today, about 14 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 5 days old and already has 75 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #180.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 75
- Today
- 0 · ≈ 14 by evening
- Forks
- 5
- Issues and pull requests
- 0
- Watchers
- 5
- Language
- Python
- License
- MIT
- Created
- September 21, 2026
- Last push
- September 24, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 26, 2026Top new repositories this week: #180
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