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-claim-vs-measured
I tested the 'AI model for HFT' hype: TypeSafe Jev on 298,549 intraday trades. 48.4% hit rate, worse than a coin flip before fees. Every model response shipped, so anyone can verify without an API key.
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
- 2026-09-21
- GitHub stars
- 1
- 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.
Delete `data/jev_cache.sqlite`, set `TYPESAFE_API_KEY`, and run `11_…`, `21_…` and `40_…` again. The model is not
Evidence commit: d2682e5abd848f4aae91897b5d3418e7e7d4d26a
Discovered through: github-search.
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