volume confirmation coach

    by nowrich

    1

    Analyze price movements using RVOL and sector participation to distinguish between genuine trends and weak breakouts.

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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

    $AAPL is up 3.2% today. RVOL is 2.4. 85% of tech sector is green. Price closed at the daily high. Is this move confirmed?

    Your agent does

    ✅ Meaningful participation. The move is well-supported by high RVOL (2.4) and strong sector-wide breadth (85%). The close at the high suggests aggressive buying. Look for a low-volume pullback as a potential entry point.

    What you get

    Validate breakouts using Relative Volume and price response metrics.Identify distribution signals when high volume fails to move price.Assess market breadth to confirm sector-wide participation levels.Avoid low-liquidity traps by flagging moves with weak confirmation.

    About this skill

    The problem

    Price action without volume context is a trap. It is difficult to distinguish between a breakout backed by institutional accumulation and a low-liquidity drift that will likely reverse.

    What it does

    • Calculates Relative Volume (RVOL) against 5, 20, and 50-day lookback periods to gauge interest levels.
    • Detects volume spikes by identifying statistical outliers relative to the trailing 50-bar average.
    • Correlates sector-wide participation to determine if a move is broad-based or isolated to a single ticker.
    • Categorizes movements into meaningful participation, weak confirmation, or distribution based on price-volume divergence.

    Why this beats prompting it yourself

    General LLMs often treat volume as a binary metric. This skill applies a specific quantitative framework to RVOL and sector breadth, ensuring you don't mistake a high-volume reversal for a bullish breakout.

    Use cases

    • Vetting breakout quality on daily or intraday charts before entry.
    • Identifying distribution or exhaustion at key resistance levels.
    • Determining if a sector-wide rally has the breadth to sustain a trend.
    • Filtering out "fake-out" moves that lack institutional participation.

    How to install

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

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