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jevVIDEO

五个交易 agent 加 Jev 监督层的多 agent 交易台 demo

demo 中五个各自持有论点、仓位和风控的自主交易 agent 并行跑市场,Jev 作为监督层读取表现、比较信念、发现失败并决定下一步审查什么。

Marlen
@Marlenuii5 天前收录原推发布于 2026.10.23
Marlen @Marlenuii原推发布于 2026.10.23
在 X 上打开原推

Grok is turning one trading bot into an entire f*cking desk floor 5 autonomous agents watch different markets while one supervisor decides what deserves attention the interesting part is not the trades it is the architecture each bot gets its own thesis positions memory and risk limits while the supervisor only sees compressed signals from the whole floor in the demo: PANGEA tracks one market thesis KIMCHIBULL runs another COMPUTE watches its own setup Kimchi operates independently BACKERS follows a separate strategy Jev sits above them all it reads performance compares conviction detects failures and decides what should be reviewed next the system looks more like a small fund than a chatbot market data → specialist agents → positions → local memory → risk checks → supervisor → portfolio view → review that separation matters one giant agent trying to research trade monitor risk and explain every decision becomes noisy fast five narrow agents can stay focused while the supervisor only reasons over what changed if I rebuilt this in Grok or Claude Code I would start with: "Create a multi agent market simulation with five independent research agents and one supervisor Give every agent its own thesis watchlist position state memory and risk budget Each agent should update only when relevant market data changes The supervisor should receive compressed summaries instead of full histories Track PnL conviction exposure failed assumptions and recent actions for every agent Add a shared portfolio dashboard and an activity feed showing why each decision happened Keep execution simulated unless a separate verified trading layer is explicitly added Show the architecture before creating any files" the future of AI trading probably does not look like one genius bot it looks like a room full of specialists with one system watching all of them bookmark this before building your first agent desk

这条是引用着另一条写的:x.com/marlenuii/status/2109673372091126158

x.com/marlenuii/status/2113591960476742054采集于 2026.10.24 09:57