stop loss discipline auditor

    1

    Audit trading journals for stop-loss violations, oversized risk, and recurring management mistakes.

    Secure checkout via Stripe

    0 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Audit my log: BUY ETH at 2500, stop 2400. Later note: 'Moved stop to 2350 to give it room.' Account is 50k, risk limit 1%, position size 5 ETH.

    Your agent does

    Stop-Loss Discipline Audit Report

    Violations

    • ETH/USD: Moved Stop. Widened from 2400 to 2350.
    • ETH/USD: Oversized Risk. Final risk (2500-2350)*5 = $750 (1.5%), exceeding 1% ($500) limit.

    Overall Status: FAIL

    Recommendation: Never widen stops after entry.

    What you get

    Identify moved or removed stops in trading logsCalculate and flag risk-per-trade violations against account equityDetect recurring psychological mistakes in stop-management behaviorGenerate structured discipline reports for trade reviews

    About this skill

    The problem

    Traders often struggle with stop-loss discipline, frequently widening stops or removing them entirely during a trade. Manual auditing of trading journals is tedious and prone to bias, making it difficult to spot recurring risk management failures.

    What it does

    • Detects stop-loss modifications that widen risk or violate pre-defined rules.
    • Flags trades with missing or ambiguous price invalidation levels before entry.
    • Calculates real-time risk-per-trade (R) and identifies oversized positions exceeding equity limits.
    • Identifies and groups recurring stop-management patterns across multiple journal entries.
    • Generates structured markdown audit reports with pass/fail statuses and specific corrective actions.

    Why this beats prompting it yourself

    This skill handles the complex math of risk-per-trade calculations while strictly enforcing logic to distinguish between valid trailing stops and prohibited risk widening. It automates the extraction of key data points from messy journal text to ensure no violation is missed due to human oversight.

    Use cases

    • Reviewing weekly trading logs to identify behavioral risk patterns.
    • Evaluating funded account or prop firm challenge performance for compliance.
    • Auditing trading student journals to provide objective feedback on discipline.

    Known limitations

    Requires numerical data for entry, stop, and account size to calculate risk percentages. If risk limits are not specified, it defaults to a 1% risk-per-trade assumption.

    How to install

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

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean today

    Listedtoday

    Frequently Asked Questions