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    Autonomous Breakout Failure Risk Detector

    1

    Systematic technical analysis for screening breakout setups and detecting false-breakout risks using price and volume.

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    Autonomous Breakout Failure Risk Detector

    Autonomous Breakout Failure Risk Detector

    Example session with this skill installed

    Analyze the breakout attempt on AAPL on the 1h timeframe. Current price is $195.50, range high was $194.00. Volume is 2x average. Here is the OHLCV data for the last 20 candles.

    • Read your context and instructions
    • Compiled the autonomous breakout failure

    I have analyzed the price action for AAPL on the 1h timeframe. The breakout attempt shows strong initial volume confirmation but faces immediate overhead resistance from the daily timeframe.

    Breakout Failure Risk Report: Apple Inc. (AAPL)

    Venue: NASDAQ
    Asset class: Equity
    Timeframe: 1h
    Data timestamp: 2024-05-20 14:00 EST
    Data quality: High

    1. Executive signal

    • Structure: Confirmed breakout (Candle close > $194.00)
    • Direction: Upside
    • Failure risk: Moderate
    • Confidence: Medium

    Rationale: Price closed above the 3-week range high with 2x relative volume, but momentum is stretching relative to the 20-period EMA.

    2. Key levels

    Level TypePriceStatus
    Breakout Level$194.00Observed
    Support/Retest Zone$193.80 - $194.20Calculated
    Resistance Target 1$198.50Illustrative
    Invalidation Level$192.50Observed Swing Low

    3. Multi-factor validation

    FactorObservationStatusExplanation
    Price CloseClosed at $195.50SupportsDecisive close above $194.00 resistance.
    Volume2x 20-period MASupportsSignificant participation on the break.
    TrendAbove 20/50 EMASupportsAlignment with short-term bullish trend.
    VolatilityATR (14) is $1.20WeakensMove is > 1.5 ATR from the breakout origin.

    4. Scenario map

    Continuation: Confirmation requires a successful retest of $194.00 followed by a move above $195.80. Invalidation on a close below $193.50.

    Failed Breakout: Risk increases if price returns inside the range ($194.00) on declining volume. Target for failure is range midline at $190.00.

    • Range Continuation: Neutral if price chops between $193.50 and $196.00 without clear follow-through.

    Next steps

    1. Monitor the $194.00 retest on the next two 1h candles.
    2. Check the 4h timeframe for RSI overbought conditions.
    3. Verify if broader market (QQQ) is supporting the sector move.

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

    About this skill

    High-volatility environments make breakout trading dangerous without a systematic way to filter noise from actual momentum. This skill provides a disciplined technical analysis workflow for detecting false breakouts and screening potential trade setups across multiple asset classes.

    What it does

    • Structure Identification defines horizontal, trendline, or channel-based resistance and support levels using prior swing highs and lows.
    • Confirmation Validation evaluates price close versus wicks, volume expansion, and follow-through to distinguish attempts from confirmed breaks.
    • Risk Assessment classifies failure risk as Low to High based on rejection wicks, range re-entry, and momentum divergence.
    • Multi-Factor Scoring calculates a setup quality score (0-100) based on trend alignment, volatility, and liquidity conditions.
    • Scenario Mapping builds conditional models for continuation, reversal, and range re-entry with explicit invalidation triggers.

    How it works

    1. Supply OHLCV candle data and instrument details like ticker, venue, and timeframe.
    2. The agent identifies the core range boundaries and the specific breakout level being tested.
    3. The detector runs the multi-factor validation check including volume profile and trend alignment.
    4. It generates a risk report with scenario triggers and an illustrative trade plan if requested.

    Frameworks & tools

    This skill uses technical analysis principles applicable to equities, FX, futures, and crypto. It relies on OHLCV data, moving averages, ATR, and relative volume metrics.

    Why this beats prompting it yourself

    Generic prompts often fall for hindsight bias or fail to distinguish between a wick and a candle close. This skill enforces a rigid data validation and multi-factor scoring system that demands evidence for volume and trend alignment before flagging a setup as confirmed.

    Use cases

    • Screening a list of potential breakout candidates for high-probability setups.
    • Auditing a live breakout attempt to determine if volume supports the move.
    • Defining precise invalidation levels for risk management on an existing trade.
    • Creating conditional scenario plans for assets approaching major multi-year resistance.

    Known limitations

    Does not support autonomous execution or live market scanning. Requires user-provided or tool-sourced OHLCV data. Qualitative risk categories are not statistically calibrated probabilities.

    Requires OHLCV data. No live scanning or order execution. Qualitative risk levels are not win-rate probabilities. Volume assessment requires comparable lookback data.

    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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    Listed4 days ago

    What's inside

    Frequently Asked Questions

    The skill requires OHLCV (Open, High, Low, Close, Volume) candle data for the asset you are analyzing. You can provide this as a raw data string, a CSV snippet, or through a connected data tool if your AI agent supports one.

    Unlike generic prompts, this skill uses a multi-factor scoring system that strictly differentiates between price wicks and candle closes. It enforces a rigid validation logic that cross-references volume expansion and trend alignment to minimize 'hindsight bias' in the analysis.

    The detector is asset-agnostic and works on any market where price and volume data are available, including equities, crypto, forex, and futures. It is effective on any timeframe from intraday scalping to multi-year horizontal resistance levels.

    No, this skill is a decision-support tool designed for technical analysis and risk assessment. It provides scenario mapping and invalidation triggers, but it cannot place trades or interface directly with your brokerage account.

    You receive the full skill logic and systematic workflow for breakout screening. This includes the structure identification module, the multi-factor scoring engine, and the scenario mapping framework for immediate use with your AI agent.

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