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    Support Resistance Mapping Skill

    1

    Technical analysis skill for mapping validated support and resistance price zones across stocks, crypto, and forex.

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    Support Resistance Mapping Skill

    Support Resistance Mapping Skill

    Example session with this skill installed

    Analyze this BTC/USDT 4H chart. Current price is 64,200. I've attached the screenshot showing the last 30 days of price action and volume. Map the key zones.

    • Read your context and instructions
    • Compiled the support resistance mapping

    I have analyzed the BTC/USDT 4H chart provided. The market is currently in a primary uptrend with recent consolidation near local highs. Volume indicates significant participation at the lower bounds of the current range.

    Market Analysis Report

    Market context

    • Symbol / market: BTC/USDT (Spot)
    • Analysis timestamp: 2024-05-20 14:00 UTC
    • Timeframe: 4H (30-day lookback)
    • Trend/range context: Bullish trend; currently consolidating in a narrow range.

    Data limitations: Screenshot provides limited sub-candle detail; volume profile is visible but lacks precise aggregate values.

    Key zones

    Zone boundsTypeTimeframeStrengthEvidenceInvalidation
    67,100 - 67,500Resistance4H / DailyStrongMultiple rejections at HTF swing high; heavy sell volume.Daily candle close above 67,650.
    63,800 - 64,150Support4HModerateRecent flip from resistance; high volume nodes on retest.H4 close below 63,500.
    59,500 - 60,200SupportDailyStrongPrimary psychological level; major accumulation zone.Sustained trading below 59,000.

    Scenario map

    • Bullish scenario: Price holds the 63,800 zone on the next retest with decreasing sell volume, targeting 67,000.
    • Bearish scenario: A breakdown below 63,500 leads to a swift move toward the 60k psychological support.
    • Range scenario: Price fluctuates between 63,800 and 66,000 as RSI cools off from overbought conditions.
    • Breakout confirmation: A 4H candle closing above 67,500 with a 20% increase over average volume.
    • Retest condition: Look for a return to 64,000 following a move to 66k to confirm the new floor.
    • What invalidates each scenario: A sudden spike in volatility (macro news) that bypasses zones without reaction.

    Practical summary

    • Nearest support: 63,800 - 64,150
    • Nearest resistance: 67,100 - 67,500
    • Higher-timeframe confluence: The 60k zone aligns with the 200-day EMA.
    • Zones to monitor: Watch the 64k level for signs of absorption.

    Conditions for no trade: If price remains mid-range (65,500) with declining volume, liquidity is insufficient for a high-RR entry.

    Next steps

    1. Monitor the 63,800 level for a bullish pin bar or engulfing candle on the 1H chart.
    2. Set alerts for a 67,650 breakout to confirm trend continuation.
    3. Review the Daily timeframe to confirm if the 60k support has moved higher.

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

    About this skill

    Stop trading based on arbitrary lines and start mapping price structure with technical precision. This skill identifies high-probability support and resistance zones by analyzing price action, volume profiles, and multi-timeframe confluence. It moves beyond simple point-and-click charting to provide a structured risk-assessment framework for any liquid market.

    What it does

    • Multi-timeframe mapping identifies zones across different periods to find high-confluence areas.
    • Zone bounding defines levels as price ranges rather than precise lines to account for market noise.
    • Strength ranking classifies levels as strong, moderate, or weak based on reaction count, recency, and volume.
    • Scenario modeling builds explicit bullish, bearish, and neutral outlooks for each identified zone.
    • Invalidation tracking defines the specific price behavior that voids a setup or confirms a breakout.

    How it works

    1. Supply a chart screenshot or raw OHLCV data along with the symbol and timeframe.
    2. The agent establishes market context, trend direction, and identifies data limitations like liquidity gaps.
    3. Candidate zones are mapped from swing highs, rejection wicks, and prior consolidation boundaries.
    4. Each zone is validated against volume and higher-timeframe data to determine its qualitative strength.

    Frameworks & tools

    Works with any standard OHLCV data export or chart screenshot from TradingView, MetaTrader, or exchange interfaces. Supports stocks, crypto, and forex markets.

    Why this beats prompting it yourself

    Generic prompts often return single price points that fail in real-world execution. This skill enforces a structured validation workflow that requires evidence for every level, preventing the "hallucination" of support where only noise exists.

    Use cases

    • Map key institutional levels on a daily chart before entering a scalp trade.
    • Validate whether a recent price spike constitutes a confirmed breakout or a simple wick rejection.
    • Identify "no-trade" zones where price action is too choppy or ambiguous for high-RR setups.

    Known limitations

    Requires clear price data or screenshots. Cannot validate volume-based claims if volume data is missing from the input. Does not provide statistical probabilities or trade execution.

    Requires clear OHLCV data or legible screenshots. Volume analysis is only possible if volume data is provided. Does not calculate position sizing or provide automated execution.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed3 days ago

    What's inside

    Frequently Asked Questions

    This skill moves beyond simple lines by mapping support and resistance as dynamic "price zones" and validating them against volume and multi-timeframe confluence to filter out market noise.

    The skill is compatible with any LLM-based agent capable of processing images or structured data, and it works with data exports or screenshots from platforms like TradingView and MetaTrader.

    You receive the logic-driven framework for mapping price structure, instructions for optimal data input, and a structured risk-assessment template for immediate use in your trading workflow.

    Yes, the skill is market-agnostic and functions across stocks, crypto, and forex, provided there is sufficient liquidity and clear price history to identify swing highs and consolidation zones.

    Simply provide a clear chart screenshot or OHLCV data to your agent; the skill includes a step-by-step guide on how to format your request for the most accurate zone identification.

    While the skill identifies high-probability zones and invalidation points, it does not execute trades or provide specific financial advice; it is a technical analysis tool for risk assessment.

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