Opus 5.5 + Jev 24/7 trading bot: 6-page paper and full Rust codebase
The author releases a 6-page paper and a Rust codebase for a trading system where Opus 5.5 researches strategies and writes code, Jev returns six calibrated decisions from live market data, and Rust handles pricing, risk and execution, with 3-day results of 864,000 blocks, 4,286 fills, a 61.3% win rate and $1,842 net PnL.
i still don’t understand why everyone is NOT building 24/7 trading agents with opus 5.5 + jev this combo builds the MOST POWERFUL AI trading bots I have seen I wrote a 6-page research paper on exactly how to find and run profitable strategies 24/7 with opus 5.5 + jev from scratch along with the COMPLETE CODEBASE in RUST this is the exact system I have been running for the past 3 days and so far the results are INCREDIBLE: > 864,000 blocks processed > 4,286 fills > 61.3% winning exits > +$1,842 net PnL > −4.7% max drawdown > 0 hard-limit breaches the architecture is almost unfair: > opus 5.5 researches strategies, writes the Rust code and reviews every losing cohort > jev reads the live market state and returns six calibrated decisions before the next block > rust controls pricing, risk, wallet permissions and execution one model thinks deeply one model decides instantly code controls the money the paper breaks down the entire system: > compact market state engine > parallel Jev judgment battery > confidence-gated policy > deterministic pricing > hard risk vetoes > stale-response rejection > fallback ladder > complete Rust repository structure > replay, calibration and deployment this is not another “ask an LLM whether to buy or sell” bot it is a full autonomous quant system that can research, trade, audit itself and keep running while you sleep save the paper, send it to Claude Code or Codex and build the entire stack from scratch
This post quotes another post: “A complete guide to getting started building with Jev”