PT

    paper to live gap analyzer

    1

    Find why paper-trading results differ from live performance by measuring fills, latency, liquidity, data, psychology, and execution discipline.

    $5

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more
    PT

    paper to live gap analyzer

    Example session with this skill installed

    Analyze my logs: paper_orders.csv shows $500 profit but live_orders.csv shows a $200 loss. Why is there a gap?

    • Read your context and instructions
    • Compiled the paper to live

    Gap Analysis Summary

    • Total Gap: -$700
    • Fills: -350 (50%) - Live slippage on AAPL.
    • Latency: -200 (28%) - 1.5s delay in execution.
    • Psychology: -150 (22%) - Manual early exit on TSLA.
      Recommendation: Use limit orders instead of market orders.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Quantify slippage and fill quality differences between environments.Identify latency bottlenecks in the execution pipeline.Audit manual trading discipline against automated strategy rules.Decompose PnL variance into six core attribution categories.

    About this skill

    Paper to Live Gap Analyzer helps diagnose why a strategy that performs well in simulation may behave differently with real orders and real capital. The skill compares paper and live trade records, synchronizes timestamps, normalizes symbols and order data, and analyzes differences across six major dimensions: fills, latency, liquidity, psychology, data, and execution discipline. Each trade can be tagged by likely gap source while slippage, delayed execution, partial or missing fills, data-feed differences, manual deviations, and rule violations are quantified whenever the available evidence supports it. The final analysis can include paper versus live PnL, trade-by-trade comparisons, slippage measurements, root-cause attribution, percentage contribution by gap category, prioritized recommendations, and targeted experiments for isolating the largest problem. It also avoids automatically blaming live execution when unrealistic paper-trading assumptions may be responsible. Ideal for systematic, discretionary, and algorithmic traders who need to understand where simulated performance is being lost during real execution.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 27 days ago

    • Passed all security checks, Safe to install

    Listed27 days ago

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