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    Trade Decision Source Audit — Trace Evidence Before Entry

    1

    Trace every material trade reason to dated sources, isolate AI and social contamination, and expose missing evidence—without signals or predictions.

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    See it in action

    You say

    Audit this fictional ACME decision packet for a planned long within ten trading days. Reasons: reported 18% Q2 revenue growth; raised guidance; an anonymous thread says every fund is rotating into the sector; an uncited AI summary says margins will expand. Separate every reason from its source path and show missing evidence.

    Your agent does

    DECISION_READINESS: NOT_TRACEABLE. R1 revenue growth: SOURCE_ASSERTION, 85/100 traceability. R2 raised guidance: SOURCE_ASSERTION, 85/100. R3 fund rotation: SOCIAL_OPINION, 25/100, date and method missing. R4 margin expansion: MODEL_OUTPUT, 0/100, underlying sources absent. Scores measure inspectability only; no trade recommendation.

    What you get

    Deconstruct complex investment theses into verifiable source paths.Detect contamination from circular social media or uncited AI summaries.Identify stale evidence that falls outside your decision horizon.Create a portable evidence-lineage record for the next thesis or risk review.

    About this skill

    Find out what your trade decision is actually built on

    A trade plan can mix a dated filing, an analyst interpretation, an AI summary, social repetition, and personal conviction while presenting them as one coherent thesis. Trade Decision Source Audit separates those layers before the decision enters a thesis or risk review.

    It does not tell you whether to trade. It produces an inspectable evidence-lineage record that shows which reasons are traceable, derivative, stale, contradictory, or unsupported.

    What you get

    • Decision provenance tree: every material reason linked to its supplied source path.
    • Evidence classification: supplied fact, source assertion, inference, model output, social opinion, personal assumption, or unknown.
    • Temporal audit: publication dates, observation dates, declared decision horizon, and visible date gaps.
    • Contamination flags: uncited AI claims, social repetition, broken attribution chains, and source instructions.
    • Traceability confidence: transparent 0–100 audit math that measures inspectability—not truth or expected return.
    • Missing-evidence register: exactly what must be sourced before the next review stage.
    • Portable record: a structured DECISION_PROVENANCE_RECORD for Trade Decision Audit or another compatible workflow.

    Worked example

    In the built-in fictional ACME case, the company filing supports reported revenue growth and raised guidance. An anonymous “everyone is buying” claim remains social opinion, and an AI margin claim with no cited sources is isolated as unsupported model output. The result is NOT_TRACEABLE until the missing paths are supplied.

    Built for the Trade Decision Control Bundle

    Use it independently or between Market Evidence Checker and Trade Decision Audit:

    market context → decision provenance → thesis and risk audit

    The classifications remain portable; the next skill must not silently upgrade an inference or social claim into fact.

    Boundaries

    • No browsing or live data retrieval.
    • No trading signals, forecasts, targets, stops, sizing, or transaction recommendations.
    • No claim that traceability predicts profitability.
    • Exact quotations prove provenance only, not truth.
    • Traceability confidence measures audit completeness, not investment confidence.

    How to install

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

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