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.
lejudge-jev-jepa
Natural-language constraints for JEPA world-model planning, judged by a decision model instead of an LLM.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- GitHub stars
- 9
- Evidence checked
- 2026-09-24T11:54:35.000Z
- Metadata checked
- 2026-09-24T11:54:35.000Z
- 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.
`LEJUDGE_MODE=offline` raises on any cache miss, so the commands above make **zero** API calls, and re-running `make paper` on unchanged results leaves every figure byte-identical. To regenerate the studies from scratch (needs `TYPESAFE_API_KEY` and `LEJUDGE_MODE=live`):
Evidence commit: b2e578fb4d0ca0826ca1669bbd4bd73cdbca8ec5
Discovered through: awesome-jev, typesafe-field-guide.
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