Level 4 · Lesson 4 / 4 · English
Journals, expectancy and performance review
3 min reading · Exercises take additional time
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A useful journal records the decision before the outcome is known, then compares execution with the written plan. Performance review separates process quality from the result of any single trade. A profitable rule-breaking trade does not prove the process was sound.
What you will learn
- Explain journals, expectancy and performance review.
- Work through the stated hypothetical example with explicit units.
- Recognise limitations and apply a documented practice check.
Record what can be audited
Before a hypothetical trade, write the setup, timestamp, available chart evidence, entry and exit rules, initial risk definition, volume calculation and no-trade checks. Afterward record actual or demo-labelled fills, costs, deviations and the reason for each change. Keep missing information marked missing rather than inventing execution details.
Separate rule adherence from profit and loss. A valid loss may follow a correctly executed plan, while a win may come from an undocumented gamble. Reviewing only winning examples hides the distribution of outcomes and creates a misleading picture. Keep records of skipped qualifying setups where feasible, with the reason for skipping.
Evaluate a distribution rather than one outcome
A simplified expectancy in R is win rate times average winning R minus loss rate times average losing R, when these categories include the full sample and costs consistently. With 40% wins averaging +2R and 60% losses averaging −1R, the sample expectancy is 0.4 × 2 − 0.6 × 1 = +0.2R per trade before any omitted costs.
This estimate is uncertain and sample-dependent. Add sample size, drawdown, cost assumptions and the period to the report. A positive mean can coexist with severe losing streaks or dependence on one unusual result. Do not claim that a historical expectancy is a guaranteed future rate. Change one documented rule at a time and re-evaluate honestly.
Key terms
- Expectancy
- Mean outcome under a specified sample and outcome definition.
- Process adherence
- Whether the decision and execution followed documented rules.
- Selection bias
- Distortion caused by choosing which observations to retain or show.
Hypothetical worked example · Not live market prices
A hypothetical expectancy calculation
- Assume 40% winners at +2R and 60% losers at −1R.
- Expected contribution from winners is 0.4 × 2 = 0.8R.
- Loss contribution is 0.6 × 1 = 0.6R, leaving +0.2R under the assumptions.
| Contribution | Calculation | R |
|---|---|---|
| Wins | 0.4 × 2 | 0.8 |
| Losses | 0.6 × 1 | −0.6 |
| Mean | 0.8 − 0.6 | 0.2 |
Simplified educational calculations. Costs, slippage and provider-specific adjustments apply where relevant; these are not actual returns.
Common mistakes to avoid
- Recording only winners; retain the complete defined sample.
- Treating one profitable deviation as a new edge; evaluate rules systematically.
- Omitting costs from R comparisons; state whether outcomes are gross or net.
Lesson summary
A journal supports reproducible review. Expectancy describes a stated sample and does not turn disciplined record-keeping into a profit guarantee.
Practical exercise
Build an empty journal template, then label one hypothetical planned loss and one profitable rule violation. Calculate the supplied +0.2R mean and explain why the process grade need not follow the profit sign.
Knowledge check
Check your understanding
Results apply to this attempt only and are not saved to a student account. No certificate is issued.
Answer all questions correctly and complete the exercise. Progress follows you between Academy pages for this visit only; it is not saved to an account and resets on reload.
Related lessons
Financial education, not personal investment advice. Leveraged Forex and CFDs can lead to substantial losses. Demo practice and correct quiz answers do not guarantee trading success.