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    Advanced Swing Trade Setup

    1

    Structured multi-timeframe swing trading analysis with risk-defined entry plans and position sizing.

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    Advanced Swing Trade Setup

    Advanced Swing Trade Setup

    Example session with this skill installed

    Analyze NVDA on a daily timeframe for a swing setup. I have the OHLCV data showing a consolidation near $135 after a recent high. My risk budget is $500.

    • Read your context and instructions
    • Compiled the advanced swing trade

    I have analyzed the daily and weekly structure for NVDA (Nasdaq) based on the provided price action. The stock is currently showing a high-quality consolidation pattern following a momentum expansion.

    Advanced Swing Trade Setup Report: NVIDIA Corp (NVDA)

    Exchange / asset class: Nasdaq / Equity
    Analysis timestamp: 2024-05-22, 09:00 EST
    Data source: User-provided OHLCV
    Timeframes: Weekly / Daily
    Data quality: High

    1. Executive setup summary

    • Setup classification: Breakout and retest.
    • Directional bias: Bullish.
    • Setup quality score: 84/100 (Strong technical alignment).
    • Main confirmation: Daily close above $136.20 with volume expansion.
    • Confidence: High, pending breakout confirmation.

    5. Conditional trade plan

    ElementPlanRationale
    SetupBreakout and RetestConsolidation above 20-day SMA
    Entry trigger$136.25Reclaim of prior session high
    Stop/invalidation$129.80Below recent swing low and 50-day SMA
    Target 1$145.00Measured move from consolidation base
    Target 2$152.00Psychology level / Fibonacci extension
    Risk/reward1:2.3Entry $136.25, Stop $129.80

    6. Position sizing

    Based on a $500 risk budget and a risk per share of $6.45:

    • Position size: 77 Shares
    • Total Notional: ~$10,491.25

    Next steps

    1. Monitor the $136.20 level for a high-volume breakout on the 4-hour timeframe.
    2. Confirm no major macro data releases (CPI/FOMC) are scheduled for the intended entry day.
    3. Set a price alert for the $129.80 invalidation point to review the thesis if tested.

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

    About this skill

    Finding high-probability swing trade setups often gets bogged down by indicator noise and emotional bias. This skill provides a structured, multi-timeframe research workflow to validate entries, manage risk, and calculate position sizes based on objective market structure.

    What it does

    • Multi-timeframe analysis evaluates weekly trends against daily execution zones to ensure alignment.
    • Setup classification categorizes opportunities as pullbacks, breakouts, or reversals based on price action.
    • Risk-reward modeling calculates exact invalidation points and targets using structural support and ATR.
    • Position sizing determines unit counts based on account risk budgets and instrument specifications.
    • Contextual filtering incorporates sector performance, earnings catalysts, and volume profiles into the thesis.

    How it works

    1. Supply an instrument ticker, exchange, and recent OHLCV data.
    2. The agent validates data integrity, including adjusted prices and volume quality.
    3. It performs a structured sweep of market structure, momentum indicators, and fundamental events.
    4. You receive a conditional trade plan with specific entry triggers, stop levels, and management rules.

    Frameworks & tools

    This skill works with any asset class providing OHLCV data, including equities, forex, and commodities. It utilizes standard technical indicators like SMA, RSI, MACD, and ATR alongside volume profile and relative strength analysis.

    Why this beats prompting it yourself

    Generic prompts often ignore risk before reward or hallucinate win rates. This skill enforces a "no-trade" option for weak setups and strictly anchors stops to structural invalidation rather than arbitrary percentages.

    Use cases

    • Validating a breakout setup before the market open.
    • Calculating risk-adjusted position sizes for a diversified portfolio.
    • Assessing sector tailwinds for a specific equity trade.
    • Mapping out alternative scenarios and management rules for active swings.

    Known limitations

    Does not support autonomous trade execution or real-time monitoring. Performance is dependent on the quality of user-provided or sourced OHLCV data. Not a substitute for financial advice.

    Requires OHLCV data. No real-time monitoring or execution. Does not account for slippage or tax implications. Not personalized financial advice.

    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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    What's inside

    Frequently Asked Questions

    This skill eliminates emotional bias by enforcing a strict multi-timeframe validation process, ensuring your entries are backed by structural market alignment rather than just single-indicator signals. It specifically solves the problem of "over-trading" by providing a 'no-trade' recommendation when setups lack sufficient risk-reward ratios.

    The skill is compatible with any AI agent or platform that supports structured data input and complex reasoning. It requires standard OHLCV (Open, High, Low, Close, Volume) data, which can be provided via text or integrated data feeds depending on your specific agent's capabilities.

    You receive the complete logic framework and structured workflow required to perform professional-grade swing analysis. This includes the multi-timeframe evaluation engine, the risk-reward calculator, and the position sizing module designed to be deployed within your AI environment.

    Yes, while designed for daily and weekly swing horizons, the underlying logic is asset-agnostic and functions effectively for Equities, Forex, Commodities, and Crypto. As long as you provide accurate price and volume data for the instrument, the agent can calculate valid structural setups.

    No, this skill is a research and planning tool; it provides the 'blueprint' for a trade, including entry triggers and stop-losses, but it cannot place trades on your behalf or monitor live price action. You must manually execute the provided trade plan through your preferred brokerage or trading platform.

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