Run an 11-agent team for trading prep
A trader runs 11 Grok Bot agents, each with one job and a scope document, with a Red Team agent that must approve a trade first. Task: The trader organized a daily swing-trading prep workflow into 11 separate Grok Bot agents with an org-chart structure, shared memory, and verification steps. Each agent had a specific job defined by MAP.md and CONTRACT.md files, running on persistent cloud computers with browser and terminal access. Human involvement is not explicitly detailed in the source, but the workflow implies oversight of agent outputs and trade approvals.; tools: Grok Bot, Claude, Codex. Human role: Not stated in the source; limitations: Success depends heavily on having the correct subscription tier for Grok Bot, as tooling tradeoffs were noted compared to Claude Agent Teams. The source is a secondary Reddit post with no verifiable execution logs or financial data. Human approval for trades remains a critical, though undefined, safeguard..
Tools
Published on Agent Work Atlas:
Overview
A trader runs 11 Grok Bot agents, each with one job and a scope document, with a Red Team agent that must approve a trade first.
Workflow
The trader organized a daily swing-trading prep workflow into 11 separate Grok Bot agents with an org-chart structure, shared memory, and verification steps. Each agent had a specific job defined by MAP.md and CONTRACT.md files, running on persistent cloud computers with browser and terminal access. Human involvement is not explicitly detailed in the source, but the workflow implies oversight of agent outputs and trade approvals.
Reported result
The persistent browsing setup reportedly resolved most scraping breakage issues from the previous system and was easier to configure than Claude Agent Teams. However, the source provides no quantitative metrics on performance improvements or error reduction rates. Actual outcomes beyond qualitative ease-of-use are unknown.
Human role
Not stated in the source
Limitations
Success depends heavily on having the correct subscription tier for Grok Bot, as tooling tradeoffs were noted compared to Claude Agent Teams. The source is a secondary Reddit post with no verifiable execution logs or financial data. Human approval for trades remains a critical, though undefined, safeguard.
Try it
I want to replicate a multi-agent trading prep workflow using Grok Bot. First, define 11 specialized agents for tasks like market scanning, news aggregation, and risk assessment. Create MAP.md and CONTRACT.md files for each agent to strictly define their scope and inputs. Set up a shared memory layer for context and a Red Team agent for final verification. [Replaceable inputs: specific trading strategy, data sources, risk parameters]. Start with a dry run on historical data to verify agent outputs and the Red Team approval logic. Measure success by the reduction in manual data cleaning errors and the consistency of trade signals. Do not execute real trades until I manually review and approve the agent-generated signals. If any agent fails to produce valid output, halt the process and report the error.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.