Definition: what “review process” means
A review process is a repeatable method to compare what you intended to do with what actually happened, then learn from the differences. In a forex context, “intended” could include your decision rules, risk limits, and timing assumptions, while “actually happened” includes outcomes after execution, spread/fees, slippage, and any practical constraints.
A common misunderstanding is treating review as only “judgment of results.” A more reliable approach is to review the chain of reasoning and the mechanics that produced the result, because results alone can be misleading when market conditions and costs change.
How the review process works (inputs, checks, and outputs)
A useful review typically starts with stable inputs:
- The review scope (which decisions and which time window).
- The plan you used at the moment of decision (rules, boundaries, and what data you relied on).
- The recorded execution details (entry/exit timestamps, order type, and realized costs).
- The measurement you will compare against (for example, whether the outcome matched the rules, not whether it was profitable).
Then you run checks that stay neutral:
- Assumption check: list assumptions behind your numbers (e.g., expected liquidity, typical transaction costs, and whether you planned for slippage).
- Attribution check: identify whether the gap came from the method (process issue), from execution (execution issue), or from market movement (market issue).
- Evidence check: confirm the facts you can verify (what orders were placed, what prices were filled) rather than what you wish happened.
A typical mistake here is to collapse these steps into one vague question like “Did it work?” That makes it harder to learn anything you can repeat.
Common mistakes and their consequences
1) Mixing stable mechanics with variable conditions
Misunderstanding: you expect the same plan to behave the same way across different market regimes. Consequence: the review turns into blame or pride instead of diagnostics, and you may conclude the method is good or bad when the real driver was a change in liquidity, volatility, or costs.
Neutral check: explicitly separate “method behavior” from “market conditions and costs.” When reviewing a decision, ask which parts would still be valid if spreads widened or execution quality worsened.
2) Skipping assumptions and costs
Misunderstanding: you review without writing down the assumptions used when estimating outcomes. Consequence: your comparison may be unfair, because realized results are affected by trading costs and execution effects.
Neutral check: for every example, state what you assumed (transaction costs, expected slippage behavior, and timing). If you did not record these, mark the result as “partially attributable,” not as a clear success/failure.
3) Using outcomes as a standalone score
Misunderstanding: you treat a profitable run as proof that the reasoning was sound, and a losing run as proof it was flawed. Consequence: you can overfit to noise and stop looking for process errors.
Neutral check: review whether the decision followed your stated rules and whether the evidence supporting the decision was available at the time. Historical relationships do not establish future results, so avoid assuming that repeated outcomes will continue.
4) Ignoring a material limitation: execution uncertainty
Failure mode: even with the correct plan, realized fills can differ from expected prices due to slippage, partial fills, or timing differences. Consequence: your review may incorrectly label a process as wrong when the outcome was driven by fill quality.
Neutral check: compare planned price levels to realized fill details, and record the “execution gap” separately from the market move.
Limitations, risks, and verification
Review process is useful, but it does not remove uncertainty. Outcomes vary with market conditions, costs, and execution quality, and they also depend on jurisdiction-specific rules and platform behavior. Historical relationships do not guarantee future results, so a review should focus on reducing avoidable process errors, not predicting performance.
To verify the facts in your review, prioritize items you can independently check: what you recorded at decision time, what orders were actually placed, and what realized costs were. If you cannot verify a detail, treat that portion of the conclusion as tentative.
For next steps, consider whether your review template is consistent across examples: same scope, same assumptions format, and same separation of method vs execution vs market.