funded account consistency coach

    by nowrich

    1

    Design risk management frameworks and payout protection rules for prop firm funded traders.

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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 passed a 50k Topstep account. Daily loss is $1k, max drawdown is $2k. Payouts start at $52,600. Help me design my consistency rules.

    Your agent does

    Funded Account Rule Card

    Internal Limits

    • Soft Drawdown Limit: $1,400 (70% of max)
    • Daily Trading Stop: $500 (50% of firm limit)

    Risk Parameters

    • Standard Risk: 0.5% ($250)
    • Payout Mode (at $52,080): 0.25% ($125)
    • Max Trades: 3/day

    Emotional Guard

    • Risk 50% after any loss.
    • Stop for day at 3% profit.

    What you get

    Calculate internal safety buffers for prop firm drawdown limits.Automate risk reduction logic for pending payout windows.Create mechanical checklists to eliminate emotional position scaling.Audit weekly trading performance using a 1-10 consistency scoring system.

    About this skill

    The problem

    Traders often blow funded accounts shortly after passing evaluations because they lack a transition plan. The shift from aggressive evaluation targets to capital preservation causes emotional scaling, overtrading, and drawdown violations.

    What it does

    • Calculates internal soft limits and daily trading stops at 50-70% of firm boundaries to prevent hard violations.
    • Generates Payout Protection Rules that automatically tighten risk as account balances approach withdrawal thresholds.
    • Establishes mechanical position sizing models based on fixed fractional risk to neutralize emotional decision-making.
    • Builds custom pre-trade checklists and post-session consistency scoring systems (1-10) to enforce rule adherence.
    • Designs specific risk reduction protocols for recovery periods and winning streaks.

    Why this beats prompting it yourself

    General LLMs often suggest vague psychological advice or standard retail risk management. This skill applies specific prop firm mathematics, mapping hard drawdown limits to internal safety buffers and payout-specific triggers that generic prompts miss.

    Use cases

    • Transitioning from a passed evaluation to a live funded account with a structured risk plan.
    • Protecting a large pending payout by switching to capital preservation mode when at 80% of the threshold.
    • Recovering from a drawdown streak using a 50% risk reduction protocol.
    • Standardizing execution for multi-account management via copy traders.

    Known limitations

    Requires the user to provide exact firm parameters like max drawdown and payout thresholds for accurate rule generation. It does not provide trade signals or financial advice.

    How to install

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

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