trader discipline scorecard

    by nowrich

    1

    A structured audit tool to score trading discipline across emotional, procedural, and execution dimensions.

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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

    Score my EURUSD trade: I felt a bit rushed because I thought I'd miss the move, but I followed my pullback rules perfectly. Entry was exactly at my limit price. I was calm but slightly anxious.

    Your agent does

    | Date | Instrument | Setup Type | Emotional | Urgency | Rules | Setup | Execution | Total | Notes | | 2024-05-22 | EURUSD | Pullback | 4 | 3 | 5 | 5 | 5 | 22 | Precision entry despite FOMO. |

    Summary: Strong execution and rule compliance, but internal urgency requires monitoring.

    What you get

    Quantify emotional state and FOMO levels for every trade.Audit adherence to written trading rules and setup criteria.Identify specific operational weaknesses in trade execution quality.Generate composite discipline scores to track process improvement over time.

    About this skill

    The problem

    Traders often focus exclusively on profit and loss, which masks poor habits that lead to eventual blowouts. It is difficult to distinguish between a "lucky" bad trade and a "disciplined" losing trade without a structured process audit.

    What it does

    • Evaluates emotional state and urgency on a 1-5 scale to identify psychological triggers.
    • Audits rule compliance and setup adherence to ensure trades align with a written plan.
    • Scores execution quality to track precision in entries, exits, and position sizing.
    • Generates a composite discipline score to categorize performance from High Discipline to Critical Failure.

    Why this beats prompting it yourself

    This skill provides a standardized, five-dimension framework that prevents bias in self-assessment. It forces objective scoring across specific psychological and operational metrics that most traders overlook when journaling manually.

    Use cases

    • Post-trade journaling to record the psychological context of every execution.
    • Weekly performance reviews to identify recurring patterns in rule violations.
    • Correcting impulsive behavior by quantifying the cost of FOMO and emotional reactivity.
    • Auditing a trading log to separate process quality from financial outcomes.

    How to install

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

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