macro without the jargon

    by nowrich

    1

    Translates complex macro economic data and central bank policy into simple, tradeable market scenarios.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    The Fed just held rates steady but the dot plot shows two fewer cuts than expected for this year. What is the market scenario?

    Your agent does

    Scenario: Fed Signals Fewer Cuts

    • What happened: The central bank kept rates the same but indicated they will stay higher for longer.
    • Why it matters: Borrowing costs will not drop as fast as investors hoped.
    • Likely market reaction:
    • Rates: Yields rise.
    • Equities: Tech and small caps pressured.

    What you get

    Translate central bank jargon into clear directional market bias.Predict sector-specific equity reactions to inflation surprises.Map liquidity conditions to risk-on or risk-off trading environments.Analyze employment data to determine bond yield and FX trends.

    About this skill

    The problem

    Traders often struggle to translate dense economic reports and central bank jargon into actionable market views. Raw macro data is noisy, and traditional financial analysis is frequently too abstract for immediate decision-making.

    What it does

    • Converts inflation, employment, and GDP data into directional market scenarios.
    • Translates central bank "fedspeak" and policy shifts into plain English.
    • Maps macro surprises to specific impacts on bonds, equities, FX, and liquidity.
    • Provides a clear "if this, then that" framework for risk-on and risk-off environments.
    • Filters out secondary noise to focus on the dominant growth and inflation drivers.

    Why this beats prompting it yourself

    Standard LLM responses often mirror the vague, hedged language of financial journalists. This skill enforces a strict logic gate based on growth and liquidity, ensuring you get concrete directional bias rather than a summary of the news.

    Use cases

    • Analyze CPI or PCE reports to determine the likely pressure on tech stocks.
    • Interpret FOMC statements to anticipate USD moves and yield curve shifts.
    • Evaluate NFP data to gauge the probability of upcoming interest rate cuts.
    • Assess liquidity cycles (QE/QT) to time entries in risk assets like crypto.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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