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Jev project · Benchmarks & research

trade-jev

justinhe16/trade-jev

Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data.

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GitHub stars
6 as of 2026-09-22
Forks
3
Language
Python
License
MIT
Created
2026-09-17
Last updated on GitHub
2026-09-17
Added to AionEdge
2026-09-19
Built by this developer
Justin He

What Jev does in trade-jev

The project describes itself this way: Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data. In the Benchmarks & research category, Jev typically decides labels and probabilities on fixed test sets, so accuracy, calibration and latency can be measured.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

How Benchmarks & research projects use Jev

Benchmarks and research projects test Jev rather than just use it. They compare it with language models and other classifiers, check whether its probabilities are well calibrated, and explore where the decision-model approach breaks down.

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Where we found it