sector rotation for beginners

    1

    A simplified sector rotation framework to identify and rank market-leading ETFs using relative strength and macro data.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    sector rotation for beginners

    Example session with this skill installed

    I'm looking at XLK, XLE, and XLV. Tech is above the 200-day but the ratio to SPY is flat. Energy is rising on high volume with oil prices up. Healthcare is below its 200-day. Rank these.

    • Read your context and instructions
    • Compiled the sector rotation
    1. XLE (Score: 4) - Strong RS, macro tailwinds, confirmed breadth, persistent trend.
    2. XLK (Score: 2) - Trend is intact but losing relative momentum; macro context is mixed.
    3. XLV (Score: 0) - Avoid; price is below the 200-day moving average.

    Action: Rotate capital into XLE.

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

    What you get

    Rank industry sectors using a standardized 0-4 scorecard.Detect trend persistence using 50-day and 200-day moving average crossovers.Align portfolio allocations with Federal Reserve interest rate cycles.Validate sector breakouts using volume-based breadth proxies.

    About this skill

    The problem

    Identifying market leadership is difficult for non-institutional investors who lack expensive data terminals. Retail traders often entry sectors at their peak or hold laggards because they cannot quantify relative strength or macro alignment.

    What it does

    • Evaluates sector ETFs using price-to-market ratio charts to identify outperformance.
    • Synthesizes macro indicators like interest rates and inflation into actionable sector biases.
    • Filters noise using volume-based breadth checks and moving average persistence.
    • Generates a numerical scorecard to rank sectors for monthly or quarterly rotation.

    Why this beats prompting it yourself

    General LLMs often provide vague financial advice or hallucinate complex technical indicators. This skill enforces a specific, disciplined ranking framework that balances price action with fundamental macro logic, preventing emotional trading decisions.

    Use cases

    • Identify which equity sectors to overweight in a monthly portfolio rebalance.
    • Determine if a recent sector spike is supported by volume or is a bull trap.
    • Scan for sectors that remain resilient during broad market downturns.
    • Match current Federal Reserve policy to the most historically favorable industries.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

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    Recently published to Agensi

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    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    What's inside

    Frequently Asked Questions