How to Review a Failed Prop Firm Eval

A failed eval review should answer one question first: did the account fail because of strategy variance, rule misunderstanding, sizing, or behavior?

Do not rush straight into another attempt

The most expensive part of a failed eval is not always the fee. It is repeating the same failure pattern without extracting the lesson. Before another attempt, the trader needs a short post-mortem that separates market loss, sizing problem, rule issue, and behavior issue.

This is not about shame. It is about turning the failure into usable data.

Rebuild the drawdown path

Start with the account path. Mark the starting balance, high-water mark if relevant, daily loss points, largest losing trade, largest losing day, and breach moment. The goal is to see whether the account died slowly through repeated small leaks or quickly through one oversized decision.

Example: five ordinary losses at planned size says something different from one oversized revenge trade. Both can fail an eval, but they require different fixes.

Separate rule failure from trade failure

A losing trade is not automatically a bad trade. A rule breach is a different category. The review should label each trade: planned setup, off-plan setup, stop respected, stop moved, size matched plan, size changed, news checked, and daily stop respected.

If most trades followed the plan and the sample is small, the trader may need more data. If the account failed through repeated rule breaks, the next attempt needs stronger guardrails before more strategy research.

Decide what changes before the next attempt

The review should produce one to three changes, not a complete personality rewrite. The change might be smaller size, fewer maximum trades, no trading during certain news windows, a stricter daily stop, a mandatory screenshot checklist, or a SIM-only reset week.

If nothing changes, the next attempt is mostly the same experiment with a new fee attached.

Bucko workflow

Bucko fits as a review workspace for failed evals. Traders can store the timeline, tag the failure mode, compare planned versus actual risk, and create a next-attempt checklist. The value is documentation, education, and guardrails—not telling the trader what to buy, sell, or promise about the next outcome.