用 Opus 5.5 + Jev 搭 24/7 交易 bot 的 Rust 完整方案
作者发布 6 页论文加 Rust 代码库，架构是 Opus 5.5 研究策略写代码、Jev 读实时行情返回六个校准决策、Rust 管定价风控与下单，并给出 3 天实跑数据：864,000 区块、4,286 笔成交、胜率 61.3%、净盈利 1,842 美元。
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
这条是引用着另一条写的：「一篇上手 Jev 的完整构建指南：代码、架构与图」