small account survival planner

    1

    Generates conservative risk management frameworks and survival rules for small-capitalization trading accounts.

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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 have a $2,000 account, medium risk tolerance, and I trade NASDAQ tech stocks. Can you build a survival plan for me?

    Your agent does

    # Trading Rules for $2,000 Account ## Risk Parameters - Per-trade risk: 1.0% ($20) - Daily loss limit: 2.5% ($50) - Weekly loss limit: 6.0% ($120) - Max open positions: 3 - Max total exposure: 1x equity ## Survival Rules - Emergency stop: $1,700 equity - Post-loss reduce: 25% size reduction

    What you get

    Calculate per-trade risk caps to prevent account ruin during losing streaks.Establish hard daily and weekly loss limits to curb emotional trading.Define technical confluence requirements for high-quality trade entries.Set realistic compounding targets based on small-account growth math.

    About this skill

    The problem

    Trading with a small account often leads to over-leveraging and emotional revenge trading, which inevitably results in a blown account. Most traders lack a mathematical framework to survive the inevitable losing streaks that occur before compounding can take effect.

    What it does

    • Calculates precise exposure caps and risk-per-trade limits based on current account equity.
    • Defines strict setup quality filters to ensure only high-confluence trades are taken.
    • Sets systematic shutdown triggers for daily, weekly, and total drawdown thresholds.
    • Establishes realistic monthly return targets and profit factors to prevent over-trading.
    • Provides a structured markdown action plan for daily trade discipline and journaling.

    Why this beats prompting it yourself

    General LLM prompts often yield generic "buy low, sell high" advice or dangerously high risk percentages. This skill enforces specific survival-oriented mathematical constraints and structural stop-levels that prioritize account longevity over speculative gains.

    Use cases

    • Developing a conservative risk framework for a $1,000 - $5,000 equity account.
    • Creating a "probationary" trading plan after a significant drawdown.
    • Setting up disciplined entry filters for a new breakout or trend-following strategy.
    • Establishing hard daily stop-loss limits to prevent emotional account liquidation.

    Known limitations

    Requires the user to provide their current account size and risk tolerance to generate accurate parameters. It does not provide specific ticker recommendations or real-time market signals.

    How to install

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

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