pullback quality coach

    by nowrich

    1

    A structured grading system to evaluate pullback quality and distinguish continuations from trend reversals.

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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

    Grade this pullback: Uptrend on 4H, price retraced 40% of the last move. Structure is clean ABC, volume is dropping on the way down, RSI is at 45 and turning up. Stop is below the last swing low.

    Your agent does

    TC: 2, D: 1, S: 2, M: 2, V: 2, I: 2. Total: 11 (Grade: A+). Verdict: High-probability continuation. The contraction in volume combined with clean structure and momentum recovery signals a healthy pullback. Execute on price confirmation.

    What you get

    Identify high-probability continuation setups in established trendsFilter out low-quality entries with chaotic price structureObjectively score retracement depth against Fibonacci levelsAssess institutional volume signatures during counter-trend moves

    About this skill

    The problem

    Traders often struggle to distinguish between a healthy pullback in a trend and the start of a total reversal. Subjective "gut feelings" lead to entering deteriorating setups too early or missing high-probability continuations due to fear.

    What it does

    • Evaluates counter-trend moves across six objective dimensions including Trend Context, Depth, and Structure.
    • Quantifies pullback health using a 12-point scoring system to categorize setups from A+ to Avoid.
    • Analyzes volume signatures and momentum shifts to confirm institutional participation or distribution.
    • Calculates logical invalidation points to ensure favorable risk-to-reward ratios before entry.

    Why this beats prompting it yourself

    This skill enforces a rigid, multi-factor scoring rubric that prevents confirmation bias and emotional grading. It systematically decouples volume analysis from price momentum, ensuring you do not double-count indicators or overlook structural breakdowns.

    Use cases

    • Grading a 50% retracement in a daily uptrend to determine entry quality.
    • Filtering out chaotic or "noisy" pullbacks that lack orderly ABC structure.
    • Identifying when a pullback has become too deep, signaling a likely trend change.
    • Verifying risk parameters by scoring the proximity and logic of stop-loss levels.

    Known limitations

    Requires an existing trend to be identified; not designed for ranging or sideways markets. Users must provide their own price and volume data for analysis.

    How to install

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

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