derivatives pressure leverage mapper

    by nowrich

    1

    Classify price moves as organic or leverage-driven using CVD, Open Interest, and Funding Rate analysis.

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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

    Analyze BTC: Price +4%, CVD rising, OI +10%, Funding 0.07%, Short liquidations high, Spot CVD neutral.

    Your agent does

    { "classification": "leverage_driven", "confidence": "high", "key_signals": { "cvd": "rising", "open_interest": "rising", "funding": "extreme_positive", "liquidations": "short_heavy", "spot_participation": "neutral" }, "explanation": "Move driven by short squeeze and new leveraged longs. High funding suggests overextension." }

    What you get

    Detect short squeezes before price exhaustion.Verify if price breakouts have real spot market support.Identify overleveraged market conditions prone to cascading liquidations.Differentiate between new position entry and simple short covering.

    About this skill

    The problem

    Traders often struggle to distinguish between organic price trends and volatile, leverage-induced spikes. Relying solely on price action leads to entering positions at exhaustion points or getting caught in cascading liquidations.

    What it does

    • Analyzes Cumulative Volume Delta (CVD) to identify aggressive vs. passive market participants.
    • Correlates Open Interest (OI) changes with price moves to detect new position entry vs. forced covering.
    • Evaluates Funding Rates to flag overextended leverage and squeeze risks.
    • Compares spot market participation against derivative volume to gauge move sustainability.
    • Classifies market states into real support, leverage-driven, or distribution categories.

    Why this beats prompting it yourself

    This skill applies a strict classification matrix that prevents emotional bias in market analysis. It forces a systematic check of five distinct data layers, ensuring you never overlook funding extremes or CVD divergences that a generic prompt might miss.

    Use cases

    • Identify if a breakout is backed by spot buying or just a short squeeze.
    • Spot potential long squeeze setups when funding rates become extremely positive.
    • Determine if a price drop is healthy distribution or temporary long liquidations.
    • Assess trend conviction during high-volatility events like news releases.

    Known limitations

    Requires manual input of derivatives data points as it does not have a live exchange API connection. Accuracy decreases if spot volume data is unavailable.

    How to install

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

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