Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
jev-probability-experiment
Testing TypeSafe Jev against exact probabilities: 68 scenarios, Choice and Noul, numerical-answer controls, reproducible results, cost and latency.
Project facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- Python
- License
- Not reported; check the repository
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- GitHub stars
- 0
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
Experiment 007 tested Jev `jev-1.13.0` on 68 authored scenarios: 60 binary events and eight full outcome distributions. The binary scenarios cover fair and biased coins, dice, cards, sampling with and without replacement, uniform integers, conditional probabilities and Bayes’ rule. Each scenario states its random process and relevant observations. Ground truth uses exact fractions and combinatorics, with enumeration checks for coins, dice, cards and sampling without replacement.
Evidence commit: 7023a1d849ed3f62841cf3bc60e4c49063437c8a
Discovered through: github-search.
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