How to Review Your Forex Trades Weekly

A weekly trade review is the single highest-leverage habit a forex trader can build. It converts raw trade data into actionable insight — and without it, you are repeating the same mistakes every week while wondering why results are not improving. This guide is for intermediate traders who are already logging trades but want a structured, repeatable process to extract maximum learning from each week.

Step 1: Gather Your Trade Data

Before you can review anything, all trades from the past 7 days need to be in one place with consistent data. Export your trade history from MT4 or MT5 (Account History tab, right-click, “Save as Detailed Report”), or pull your broker statement. At minimum, each trade record needs: instrument, direction, lot size, entry price, exit price, pips gained/lost, and the date and session.

If you are already using a trading journal, this step is largely done — see how to import MT4 trades or how to import MT5 trades to automate the data pull. The goal is a single, complete dataset before you touch any analysis.

Step 2: Calculate Your Weekly Performance Metrics

Run four numbers for the week:

• Net pips: Sum of all pip outcomes across trades
• Win rate: Winning trades divided by total trades (e.g., 7/12 = 58%)
• Average realized R:R: Average winning trade in pips divided by average losing trade in pips
• Net P&L in USD: Total dollar gain or loss accounting for lot sizes

Compare each figure against your baseline — the numbers from your trading plan. A week where you hit 60% win rate but your plan targets 45% is worth investigating as carefully as a losing week. Outliers in either direction contain information.

Step 3: Categorize Trades by Setup Type

Tag every trade with its setup type and the session it was taken in. A simple tagging system works fine: breakout, pullback, range fade, news reaction, continuation. Add the session: London open, London/New York overlap, New York session, Asia.

Once tagged, group the trades and calculate win rate and average R:R per category. You will often find that two or three setups are responsible for nearly all your profits, while one setup consistently loses. For example, if your London breakout trades show 2.1R average but your range fades are at -0.4R, that is an immediate and specific finding — not a vague sense that the week “felt off.”

Step 4: Audit Your Rule Compliance

Go through each trade and answer three binary questions:

1. Did the entry match a defined setup in your plan?
2. Was the stop-loss placed at the technically correct level (not sized to a dollar amount)?
3. Was position size calculated correctly using your risk-per-trade percentage?

Mark each trade as compliant or non-compliant. Calculate your compliance rate for the week: number of compliant trades divided by total trades. A compliance rate below 80% is a process problem that will undermine even a profitable strategy. Track this number weekly — it is a leading indicator of future P&L.

For deeper work on dissecting non-compliant trades, see how to analyze losing trades.

Step 5: Identify Patterns and Extract Lessons

With the categorized and audited data in front of you, look for recurring themes. Common patterns to watch for:

• Losing trades clustered in one session or one instrument
• Stops consistently hit before price moves in the intended direction (stop placement too tight)
• Winners cut early relative to the original target (exiting at 1R when the plan was 2R)
• Rule breaks concentrated at specific times (e.g., Friday afternoons, post-loss revenge trades)

Write exactly 1-3 takeaways — no more. Vague observations like “I need more patience” do not count. Specific observations like “All 4 of my losing trades were taken during the New York afternoon session when spread widens — avoid trading after 17:00 EST” are usable. See how to track trading psychology for a framework on logging the behavioral side.

Step 6: Set Next Week’s Focus Objective

Close the review by writing one process objective for the coming week. This is not a P&L target. Examples of effective process objectives:

• “Only enter breakout trades if the candle closes above the level — no anticipatory entries”
• “Set a hard stop of 3 trades per day; close the platform after the third trade regardless of outcome”
• “Log a pre-trade note for every entry before clicking the button”

A single focused objective is more powerful than five competing intentions. Carry it forward and assess it during next week’s review. This is the compounding mechanism — each week’s insight feeds the next.

Pro Tips

• Screenshot every trade at the moment of entry and exit, not just the outcome. Seeing your actual execution point (not your memory of it) eliminates self-serving bias in the review.
• Review trades from best to worst, not worst to best. Starting with what worked well primes analytical thinking rather than defensiveness.
• Keep a rolling 4-week view alongside your weekly numbers. Single-week win rate is noisy; a 4-week trend reveals whether you are improving or regressing.
• If you cannot explain why you took a trade in one sentence, it was not a rule-based entry — flag it regardless of outcome.
• The weekly trade review process guide covers the broader review framework if you want to extend this into monthly and quarterly cycles.

Common Mistakes to Avoid

1. Reviewing only losing trades. Profitable trades taken outside your rules reinforce bad process and will cost you eventually. Review every trade with equal scrutiny.

2. Focusing on P&L instead of process metrics. A profitable week with low rule compliance means you got lucky, not that you traded well. Process metrics predict the next 100 trades; P&L describes the last 10.

3. Writing vague takeaways. “Be more disciplined” is not actionable. If your takeaway cannot be checked as done or not done on the next trade, rewrite it until it can.

4. Skipping the review after a good week. Winning weeks contain as many lessons as losing weeks — sometimes more, because winners can mask poor execution and build overconfidence.

5. Reviewing without a fixed structure. An ad-hoc review drifts toward confirming what you already believe. A checklist forces you to look at every dimension whether or not you feel like it.

How PipJournal Helps

PipJournal’s analytics dashboard surfaces your win rate, average R:R, and net pips broken down by instrument, session, and tag — eliminating the manual aggregation work in Steps 2 and 3. The rule-compliance tagging system lets you flag trades as planned or unplanned at the time of logging, so your compliance rate is always one click away. The weekly summary view shows rolling performance trends across the past 4 weeks, making it easy to spot whether your edge is strengthening or eroding. At $179 one-time, it replaces the spreadsheet workflow permanently.