Tiger Woods hits more balls in practice than any golfer in history. But more importantly — after every session, he reviews footage of his swing and makes micro-adjustments. He does not change his entire technique. He makes one small correction, tests it, measures the result, adjusts again. That iterative review process — small data-driven improvements compounding over time — is exactly what separates elite performance from plateau performance. In trading, the journal is your swing footage. The weekly review is your coaching session.
Performance review is the systematic analysis of your trading data to identify patterns in results, pinpoint consistent errors, confirm what is working, and make evidence-based adjustments — not opinion-based changes based on how you feel.
The review cadence
Daily (10 minutes):
- Did I follow every rule in my trading plan?
- Emotional state rating (1–10) and what drove it
- Any rule violations and what triggered them?
- Key lesson from today
Weekly (45–60 minutes):
- Win rate, average win, average loss, profit factor for the week
- Consistent mistakes this week (pattern, not individual trades)
- One specific improvement to focus on next week
Monthly (2–3 hours):
- Equity curve analysis — direction, volatility, drawdown periods
- Performance by setup type, time of day, pair, session
- Psychological patterns — when do you break rules most?
Quarterly (full day):
- Statistical significance check
- System parameter review
- Goal progress assessment, annual plan update if needed
Key metrics to track
| Metric | Acceptable | Good | Exceptional |
|---|---|---|---|
| Win rate | 40%+ | 50%+ | 60%+ |
| Profit Factor | 1.25+ | 1.75+ | 2.5+ |
| Expectancy | >0.2R | >0.4R | >0.6R |
| Max Drawdown | <15% | <10% | <7% |
| Plan Adherence | 80%+ | 90%+ | 95%+ |
Monthly review insight leading to system improvement:
Trader tracks performance by time of day. Results:
9am–12pm WAT: Win rate 54%, PF 1.88
12pm–2pm WAT: Win rate 38%, PF 0.92
2pm–6pm WAT: Win rate 51%, PF 1.75
Decision: Eliminate 12pm–2pm WAT trading window entirely.
Next month: Overall PF improves from 1.42 to 1.71 with fewer total trades.
One data-driven change. No new strategies. No new indicators.
NGX tracking: An NGX equity trader adds one column to their journal: "Entry timing." After 60 trades they discover: stocks bought in the first 30 minutes of NGX open (10am–10:30am) win 62% of the time. Stocks bought after 1pm win 38% of the time. One journal column, 60 trades, one system-changing pattern discovered.
Reviewing only losing trades and ignoring winning ones. Winning trades contain equally important data — why did this work? Was it full plan compliance? Was it a 5-factor confluence setup? Understanding wins helps you create conditions to replicate them. Your wins contain the formula for your edge.
The 80/20 performance review: after 100 trades, sort them by return (highest to lowest). The top 20% of trades generate approximately 80% of your total profit. Identify what those trades have in common — time of day, setup type, confluence score, pair, session. Then ruthlessly focus only on recreating those conditions for every future trade entry.
Performance review is the compound interest of trading skill — each weekly review makes you 1% better, and 52 weekly reviews later you are unrecognisable compared to the trader who never reviewed at all.
