revenge trade emergency brake

    by nowrich

    1

    Detects revenge trading patterns and enforces mandatory cooldowns, reviews, and reduced risk limits.

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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

    I just lost big on that fakeout. I'm doubling my position on the next candle to get it back, this has to bounce here.

    Your agent does

    Emergency brake engaged. You just experienced a loss and your signals suggest emotional escalation. A 30-minute cooldown is now active. We will not discuss new setups until you complete the mandatory review questions. No new trades until the cooldown ends.

    What you get

    Interrupt emotional trading cycles immediately after a loss.Enforce mandatory cooling-off periods based on loss streak severity.Audit trade setups against entry criteria during high-stress moments.Automate risk-reduction math for recovery trades.

    About this skill

    The problem

    Traders often react to losses by increasing position sizes or jumping back into the market too quickly to "win it back." This emotional escalation, known as revenge trading, frequently leads to catastrophic account drawdowns and blown accounts.

    What it does

    • Detects behavioral patterns like increased frequency, oversized positions, and desperate language.
    • Enforces structured cooldown periods ranging from 30 minutes to a full session based on loss streaks.
    • Mandates a 10-point psychological and technical review before allowing new trade plans.
    • Calculates and enforces 50% reduced risk limits for the subsequent three trades.
    • Implements lockout rules that reset if the trader attempts to bypass the intervention.

    Why this beats prompting it yourself

    A simple prompt to "help me stay disciplined" lacks the hard logic gates required to stop an emotional trader. This skill uses a specific protocol that combines detection, mandatory cooling periods, and mathematical risk reduction that cannot be easily negotiated away during the heat of a session.

    Use cases

    • Halting a downward spiral after three consecutive losing trades.
    • Preventing impulsive entries when a trader expresses anger or frustration in the chat.
    • Enforcing a mandatory journaling process before the next order execution.
    • Gradually scaling back into the market with half-sized positions after a drawdown.

    Known limitations

    This skill acts as a behavioral layer and cannot technically block a broker API; it requires the user to interact with the agent for their trade planning.

    How to install

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

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    Recently published to Agensi

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