WHAT NEW IN X10.30 FRI

X 上的 AI 合集档案 · 22 个合集 · 60,637 条

jevVIDEO

Jev 交易台:逐 tick 门控下单的 agent 架构

Watcher 并行拉取 6 个资产行情,Analyst 用 noul("act?") 毫秒级判断,Choice 只输出多/空,Risk 按回撤预算限仓,Gate 以 0.85 阈值拦截执行。

Rhoxbt
@Rhoxbt9 天前收录原推发布于 2026.10.20
Rhoxbt @Rhoxbt原推发布于 2026.10.20
在 X 上打开原推

WHOEVER LEAKED THIS JEV TRADING DESK SHOULD BE RUNNING THE BOOK I thought running an agent on a live orderbook meant throwing GPT at the chart and praying it didn't short the top on vibes. Apparently not. This desk's setup is much more interesting: → WATCHER streams ticks from 6 assets in parallel, no reasoning yet, pure context shared to the analyst → ANALYST calls noul("act?") on every tick in milliseconds, returns p=0.91 or skips, no "maybe wait" allowed → CHOICE picks LONG or SHORT from a two-element set with confidence, no "stay in cash while thinking" → RISK evaluates side × size against the drawdown budget before the executor touches the book, drops silent breaches at 0.5% → GATE compares gate.conf against 0.85, below drops to human, above fills, flags 7 ticks the gate held while the market moved so you get: Ticks streamed. Acts gated. Sides typed. Risks capped. the interesting part isn't predicting the market harder. it's giving every tick a gate the executor can't fire past. Instead of streaming 10,115 ticks through a full model and praying the JSON parses before SOL moves, you run them through JEV at $0.42 per 10k, 260ms median, 91.4% gate pass, with every short decision logged against the fill. Watch the tick. Gate the act. Cap the size.

这条是引用着另一条写的:「长文:如何搭好 Jev 驱动的 agent 技术栈」

x.com/rhoxbt/status/2112281758851105233采集于 2026.10.20 10:05