risk to reward setup gate

    by nowrich

    1

    Mathematical logic gate to validate and filter trade setups based on strict risk-to-reward thresholds.

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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

    Check this long setup: Entry 150.50, Stop 148.00, Targets [155.00, 160.00]. I need at least a 3:1 RR to take the trade.

    Your agent does

    Setup Rejected. Risk: 2.50 Max Reward: 9.50 Max RR: 3.8:1 Status: Valid. The setup exceeds your 3.0 minimum threshold.

    What you get

    Enforce minimum reward thresholds for automated trading bots.Validate entry/exit geometry for long and short positions.Prevent emotional over-leveraging on low-expectancy setups.Quantify potential returns across multi-stage exit strategies.

    About this skill

    The problem

    Traders often enter positions based on intuition or partial data, leading to poor expectancy and blown accounts. Manual calculation of risk-to-reward ratios for multiple targets is slow and prone to errors during fast-moving market conditions.

    What it does

    • Calculates absolute risk based on entry and stop-loss price differentials.
    • Computes reward potential across multiple price targets simultaneously.
    • Determines precise risk-to-reward (RR) ratios for every exit level.
    • Acts as a logic gate to reject any trade setup that falls below your minimum RR threshold.

    Why this beats prompting it yourself

    General LLMs often struggle with precision arithmetic and floating-point comparisons required for financial safety logic. This skill provides a deterministic mathematical framework that ensures your trading agent never "hallucinates" a favorable ratio on a sub-optimal setup.

    Use cases

    • Filter automated signal alerts to only execute high-probability setups.
    • Audit manual trade ideas against strict risk management parameters.
    • Calculate position sizing requirements based on validated RR thresholds.
    • Verify stop-loss placement versus multiple take-profit zones.

    How to install

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

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