trade setup quality preflight

The problem

Traders often enter positions based on "gut feeling" or incomplete charts, leading to revenge trading and avoidable losses. Without a strict gatekeeper, setups with poor risk-reward ratios or vague invalidation points slip into the portfolio.

What it does

• Audits trade ideas against five objective quality dimensions: Structure, Liquidity, Confirmation, Invalidation, and Risk.
• Enforces mandatory inputs including timeframe context, entry, stop loss, and take profit before starting the evaluation.
• Assigns a Pass, Adjust, or Fail rating to each dimension to highlight specific technical weaknesses.
• Calculates Reward-to-Risk (R:R) viability based on specific market contexts like scalps versus trend trades.
• Generates a structured pre-flight report that explicitly rejects any setup that is not 100% complete and logical.

Why this beats prompting it yourself

A simple prompt often generates "yes-man" responses that agree with your bias. This skill acts as a disciplined risk officer, using a strict scoring matrix that requires a perfect score across all dimensions to grant approval. It prevents the AI from inventing missing data or ignoring structural gaps in your plan.

Use cases

• Verifying a scalp setup against higher timeframe market structure before execution.
• Checking if a proposed stop loss is placed at a logical structural invalidation point.
• Auditing a signal from a third-party source to ensure it meets personal risk parameters.
• Filtering out "middle of nowhere" entries that lack a clear liquidity target.

Known limitations

Requires manual input of chart levels and context as it cannot visually browse live trading screens. Does not predict market outcomes, only assesses the technical quality of the plan.