screenshot trade reviewer

The problem

Traders often struggle to identify why their live execution differs from their backtested plans. Reviewing chart screenshots manually makes it difficult to objectively spot execution drift or emotional overrides without a structured audit process.

What it does

• Reconstructs the original market structure, key levels, and indicators from "before" trade screenshots.
• Maps price action changes and candle developments by comparing "before" and "after" chart states.
• Identifies execution drift by auditing entry, stop loss, and take profit levels against the intended plan.
• Diagnoses root causes for deviations, such as missing confirmations or premature exits.
• Generates a single, testable rule improvement to prevent repeating the same execution errors.

Why this beats prompting it yourself

General prompts often result in vague trading advice or simple descriptions of price movement. This skill enforces a structured comparative audit that specifically looks for execution drift and forces the output into a measurable, actionable rule change rather than generic feedback.

Use cases

• Post-trade journaling to document why a stop loss was moved or hit.
• Auditing a series of trades to find recurring patterns of early entries.
• Refining a trading playbook by converting failed setups into specific entry filters.
• Validating if a discretionary trader is actually following their stated mechanical rules.

Known limitations

Requires both a before and after screenshot for a full audit. If charts are not annotated, some execution details must be inferred from price behavior.