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    trading-ops-framework

    by Tanathip Viriya

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

    Updated May 2026
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    One-time purchase

    $10

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Build a rule-based trading repository from an existing strategy.
    • Eliminate overtrading by enforcing hard-coded risk guardrails.
    • terminal, network automation included
    • Includes example output and usage patterns
    • Instant install

    Sample Output

    A real example of what this skill produces.

    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.

    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.

    📖 Learn more: Best Frontend & Design Skills for Claude Code →

    Use Cases

    • 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.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Network Access

    File Scopes

    trading-ops-framework/**

    Tags

    trading
    finance
    risk-management
    system-design
    automation

    Creator

    Tanathip Viriya

    Frequently Asked Questions

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