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Jev Decision Maker At Meteora

Condor drop-in where Jev Noul fan-out ranks Meteora pools and a Score sizes positions, while math clamps enforce rug cards, cost tiers, dry-run, and one-sided walls.

Stars
1
Language
Python
Published by
Community
Author
cedarmuse-creator
Last verified
Oct 2026

About this project

A Condor trading agent where one structured-decision model ranks the live Meteora DLMM universe, runs live rug cards, and holds a portfolio of 3–5 pools — and you can read every verdict. Not a hummingbot/condor fork. Drop agents/jev/ into a Condor checkout. Named after Jev, TypeSafe AI's flagship System One model — the first model built to make decisions inside software rather than to chat. You send it a state and typed questions; it returns typed answers with calibrated confidence, not prose to parse.

Quoted from the project's README. Read the full README.

Highlights

  • Single Noul per candidate in one call for 3-5 distinct tokens with at most two from New.
  • Score sizes percent of book plus width under fee-vs-cost tiers: full, trimmed, or no slice.
  • Eight-flag rug cards fail closed, bins clamp under 69, and dry-run needs jev.live exactly yes.
  • Test and prod profiles move book, slots, floors, and risk ceiling together; typos fall back to test.

Watch out

Trading-adjacent demo with no second venue or invented pools; model proposes and math can still refuse it. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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