Trade Decision Audit — Check Thesis, Risk & Discipline

Audit the decision before the market grades the outcome

Trade Decision Audit helps traders test whether a planned trade is logically and mathematically ready, then review completed trades without confusing profit with good process.

It does not tell you what to buy or sell. It turns the information you provide into a structured decision record with explicit evidence gaps, deterministic risk math, and one concrete process improvement.

What you get

• Pre-trade audit: thesis evidence, invalidation clarity, hidden assumptions, failure paths, risk-to-reward, and maximum position size.
• Post-trade audit: decision quality separated from P&L, rule divergence, realized R, and execution lessons.
• Portfolio review: concentration math plus clearly labeled qualitative factor-overlap analysis.
• Weekly review: repeated process patterns condensed into exactly one observable rule experiment.
• Portable records: structured outputs that can feed the next review instead of disappearing into chat history.

Why this is different

• Risk, sizing, realized-R, expectancy, HHI, and drawdown calculations use the bundled deterministic Python script.
• Missing prices, volatility, correlations, or regime data remain visible gaps; the skill does not invent them.
• A profitable rule breach can still receive a poor process verdict.
• The final output distinguishes supplied facts, calculations, inference, and unresolved uncertainty.
• No broker connection, credentials, live market feed, or order execution is required.

Worked example

A plan risks 2.36% of a $10,000 account when the stated rule permits 1.5%. The audit calculates a maximum size of 95.45 shares, preserves the unsupported crowd claim as an evidence gap, and converts a vague stop idea into one objective invalidation rule. The result is an auditable decision record—not a prediction.

Built for a trading workflow

Use it independently or as the decision-quality layer in the future Trader Operating System bundle. Market-context claims belong in Market Evidence Checker; claim-to-source lineage belongs in the planned Trade Decision Provenance Auditor.

Boundaries

• No buy, sell, or hold recommendations.
• No signals, forecasts, live prices, or automated orders.
• No broker or exchange connection.
• Portfolio shock values require a user-supplied scenario assumption.
• Portable records are returned as text and are not stored automatically.
• Local Python is required for deterministic arithmetic.