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    Trader Discipline & Risk Command Center

    by John Barros

    5

    Standardizes trading discipline through risk checklists, scenario planning, and post-trade journals.

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    See it in action

    You say

    Build an intraday plan for NVDA and QQQ using my levels: NVDA 120 support, 125 resistance; QQQ 480 pivot. Risk is $100 per trade. Include a scenario map and no-trade conditions.

    Your agent does

    Preparation Status: REVIEW_READY Scenario Map:

    • Bullish: Price holds 120, targets 125.
    • Bearish: Price breaks 120, wait for 118 support.
    • Choppy: Price stays 122-123, no action. No-Trade Conditions: Spread > $0.10, first 15 mins of session. Risk: Max $100/trade. Manual data verification required.

    What you get

    Standardize pre-market preparation for stocks and crypto.Enforce risk discipline with explicit invalidation criteria.Log and analyze recurring trading mistakes in a weekly review.Generate structured trade journal entries from raw session notes.

    About this skill

    The problem

    Traders often struggle with emotional decision-making and lack of structure. Scattered notes and impulsive entries lead to unmanaged risk and ignored trading rules.

    What it does

    • Converts raw user notes into structured pre-market plans and watchlists.
    • Architects mandatory risk checklists, invalidation criteria, and no-trade conditions.
    • Generates scenario maps for bullish, bearish, and neutral market environments.
    • Builds post-trade review assets and mistake pattern logs to track behavioral discipline.
    • Produces a "Trading Discipline Receipt" to verify all risk gates were met before execution.

    Why this beats prompting it yourself

    General LLMs often drift into restricted financial advice or vague predictions. This skill enforces a hard boundary between user thesis and model structure, ensuring every plan includes mandatory failure-state logic like invalidation levels and no-trade zones that DIY prompts frequently omit.

    Use cases

    • Creating an intraday technology watchlist with specific user-defined trigger levels.
    • Documenting a trade journal entry with emotional state and rule adherence tracking.
    • Conducting a weekly review to identify recurring mistake patterns across multiple trades.
    • Drafting a futures or options risk plan that highlights contract-specific liquidity and expiry risks.

    Known limitations

    This tool does not provide buy/sell signals, market predictions, or real-time data integrations. It requires the user to provide all market levels and context for processing.

    How to install

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

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 13 days ago

    Listed13 days ago

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