support resistance clarity coach

    by nowrich

    1

    A structural market analysis skill that identifies high-conviction support and resistance zones while preventing chart clutter.

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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 these BTC/USD levels: reactions at 62.5k, 62.8k, and 63k. High volume at 63k. Daily trend is up, but these are 1H swing highs. Should I mark them?

    Your agent does

    ZONE_TYPE: Resistance TIMEFRAME: LTF (1H) BOUNDARIES: [62800, 63100] TOUCHES: 3 VOLUME_CONFIRMATION: High STRUCTURE_ROLE: Range high / Consolidation top ACTION: Wait NOTE: Merged 62.8k and 63k into a single supply zone. Pruned 62.5k as it lacks structural significance.

    What you get

    Identify high-conviction zones using volume and timeframe hierarchy.Prevent over-marking by merging overlapping support and resistance levels.Filter out noise by applying strict repeated-reaction rules to every level.Rank levels by importance to focus only on high-probability trade setups.

    About this skill

    The problem

    Traders often suffer from "analysis paralysis" by cluttering charts with dozens of meaningless horizontal lines. Without a clear hierarchy, it is impossible to distinguish between a minor intraday bounce and a major institutional reversal level.

    What it does

    • Identifies high-probability support and resistance zones based on a minimum of 2-3 repeated price reactions.
    • Filters levels using market structure context, such as previous breakouts and range extremes.
    • Prioritizes levels by timeframe hierarchy, merging or pruning minor intraday zones that conflict with higher timeframe data.
    • Validates zone strength using volume confirmation and high-volume nodes.
    • Enforces a strict limit of 5-7 visible zones to maintain chart clarity and actionable focus.

    Why this beats prompting it yourself

    General prompts often result in the AI marking every swing high and low, creating a "spaghetti chart." This skill applies specific pruning logic and volume-based validation rules that force the agent to act as a cynical editor, only showing you levels that actually matter for the next move.

    Use cases

    • Cleaning up a messy trading view by consolidating overlapping intraday levels.
    • Mapping out key institutional interest zones on weekly and daily charts.
    • Validating a potential entry point by checking for volume-backed structural support.
    • Developing a clean market map for a new trading instrument from scratch.

    Known limitations

    Requires price, volume, and timeframe data to be provided in the input. Does not perform real-time chart drawing in external software.

    How to install

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

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