Trading-Ops-Framework

    3

    Transform your trading strategy into a rigorous, 5-layer operational system to eliminate emotional decision-making.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Help me systematize my MA crossover strategy. I trade with a 1.5% risk per trade and need a structured pre-market routine and risk management agent.

    Your agent does

    Created system in ./trading-ops/

    • CLAUDE.md: Risk defined at 1.5% per trade.
    • playbooks/ma-cross.md: Entry logic at 20/50 EMA cross.
    • scripts/PreMarket.sh: Checklist for news and volatility checks.
    • agents/risk-manager.md: Prompt for size calculation. Ready to execute.

    What you get

    Build a rule-based trading repository from an existing strategy.Automate pre-market and post-trade checklists via shell scripts.Eliminate overtrading by enforcing hard-coded risk guardrails.Design specialist sub-agents for market research and journal analysis.

    About this skill

    Systematize Your Trading Edge

    The Trading Operations Framework is a developer-centric toolkit designed to bridge the gap between having a "strategy" and running a professional-grade trading business. Most traders fail because of emotional execution and lack of structure—this skill solves that by forcing your existing strategy into a rigid, 5-layer systemic architecture.

    What it does

    This skill guides you through building a complete operational repository. It transforms your manual workflow into an organized system covering:

    • L1 Memory: Hard survival limits and non-negotiable risk rules (CLAUDE.md).
    • L2 Knowledge: Detailed setup playbooks for specific market conditions.
    • L3 Guardrails: Execution scripts for Pre-Market, Post-Trade, and EOD routines.
    • L4 Delegation: Architecture for sub-agents to handle research and journaling.
    • L5 Distribution: Version-controlled manifests of your entire system.

    Why use this skill

    Unlike generic AI prompts that give vague advice, this skill produces concrete, deployable assets. It results in a structured file system (markdown files and shell scripts) specifically tailored to your account size and risk tolerance. It enforces professional standards by pushing back on bad habits like excessive leverage or missing stops, ensuring your AI agent becomes a strict COO for your trading desk.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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