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    Stock Breakout Scanner Pro

    1

    A disciplined technical analysis skill for identifying, ranking, and planning stock breakout trades with a risk-first focus.

    $8.99

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    Stock Breakout Scanner Pro

    Stock Breakout Scanner Pro

    Example session with this skill installed

    Scan these tickers for daily breakout setups: NVDA, TSLA, AAPL, AMD. Use the provided OHLCV data. Rank them by quality and provide entry/invalidation levels for the top pick.

    • Read your context and instructions
    • Compiled the stock breakout scanner

    Analyzed 4 tickers using the daily OHLCV dataset. Identified one high-quality pre-breakout setup and three candidates currently exhibiting range-bound consolidation or resistance rejection.

    Breakout Analysis & Ranking

    RankStockSetupBreakout LevelQualityMain ConfirmationMain Risk
    1AMDPre-Breakout$184.50StrongVCP structure, volume dry-upSector weakness
    2NVDAIn-Progress$136.00ModerateTrend alignmentExtension from 20EMA
    3AAPLAvoid$230.00WeakLow relative strengthOverhead supply
    4TSLAInvalid$265.00N/AFailed breakoutBearish engulfing candle

    #1 Setup: AMD (Advanced Micro Devices)

    AMD is currently forming a high-quality Volatility Contraction Pattern (VCP) just below the $184.50 horizontal resistance. The last three daily sessions show a significant decrease in selling volume as price tightens.

    • Breakout Zone: $184.50 - $185.25. Look for a daily close above this range on 1.5x average relative volume.

    Confirmation: A surge in volume during the first 30 minutes of the session exceeding the previous two days' average.

    • Invalidation: A close below the recent higher low at $176.80 would violate the current VCP structure.

    Risk Flags: Nearby earnings announcement in 12 days; potential for sector-wide drag if the SOX index fails to hold its 50-day moving average.

    Trade Planning Framework (AMD)

    • Aggressive Entry: $184.60 (First touch of resistance).
    • Confirmed Entry: Daily close > $185.00.
    • Stop Loss: $176.75.

    Position Size: If risking $500 on this trade, the risk per share is $7.85 ($184.60 - $176.75). Suggested size: 63 shares.

    Next steps

    1. Monitor AMD volume at the $184.50 level during the market open.
    2. Verify sector strength via the SMH or SOX index before entry.
    3. Review the earnings calendar to ensure the holding period does not overlap with high-volatility events.

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

    About this skill

    The problem

    Traders often struggle to filter noise from thousands of tickers, leading to low-quality entries or chasing extended moves. Relying on gut feeling or single-indicator scans often results in entering false breakouts without a plan for invalidation.

    What it does

    • Scans supplied market data to identify horizontal resistance, price compression, and volatility contraction.
    • Classifies setups into confirmed, in-progress, pre-breakout, or invalidated categories.
    • Calculates a multi-factor quality score based on structure, volume, trend, and relative strength.
    • Generates detailed setup reports including specific invalidation levels and risk flags like low liquidity or earnings risk.
    • Builds position-sizing frameworks based on user-defined account risk and technical stop levels.

    Why this beats prompting it yourself

    General LLMs often hallucinate price targets or ignore the nuances of volume confirmation and volatility contraction. This skill enforces a disciplined technical framework that separates objective price structure from speculative narratives, ensuring every recommendation includes a mandatory risk-first invalidation plan.

    Use cases

    • Screening a watchlist to rank the top three high-probability technical setups for the next session.
    • Auditing a specific ticker to determine if a recent move is a confirmed breakout or a high-risk trap.
    • Building a daily breakout report that aligns individual stock setups with broader sector and market context.
    • Calculating precise position sizes for a set of candidates to maintain strict account-level risk management.

    Known limitations

    Cannot execute trades or access live brokerage accounts. Accuracy is dependent on the quality and recency of the market data provided by the user or connected tools.

    Requires external market data inputs. Cannot guarantee future price movement. Does not provide personalized financial advice or execute trades.

    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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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill specializes in identifying price compression and horizontal resistance while calculating precise invalidation points, ensuring you enter trades with a defined risk-first exit strategy rather than chasing overextended moves.

    The scanner is compatible with major AI agents that support technical analysis tools and can process market data inputs; it functions as a specialized logic layer for your preferred AI environment.

    You will receive the complete technical analysis logic and configuration files designed for immediate integration with your AI agent, along with a guide on how to provide the necessary market data.

    No, this is a research and planning tool; while it provides precise position-sizing and entry/exit levels, it does not have the authority to access your brokerage account or execute live trades.

    Simply connect the skill to your AI agent and provide a ticker symbol or watchlist along with recent price and volume data to generate your first technical setup report.

    The quality of the analysis is directly tied to the data you provide; for best results, we recommend using high-frequency price and volume data from a reliable market data provider or API.

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