How to Analyse Past Forex Trades — A Structured Review Process

Most traders keep some kind of record of their trades. A spreadsheet. A journal. Screenshots. Notes on what they were thinking.

But keeping a record is not the same as learning from it.

The difference between a trader who journals and a trader who improves is the review process. Not how many notes you take. Not which app you use. Whether you have a systematic way of extracting insight from past trades and turning it into better future decisions.

This article introduces a structured post-trade analysis framework — a method for reviewing completed Forex trades that goes beyond "was it a winner or a loser" and examines what the process actually reveals.

Why Most Trade Reviews Don't Improve Trading

The typical trader's review process looks like this:

1. Look at the P&L. If it's green, feel good. If it's red, feel bad.
2. Glance at the chart to see "what happened."
3. Note something vague like "should have held longer" or "entered too early."
4. Move on to the next trade.

This is not analysis. It is retrospective storytelling — and it accomplishes nothing except reinforcing whatever you already believed.

Real trade review requires structure. You need to examine specific dimensions of the trade against a consistent framework, not just narrate what you think went right or wrong after the fact.

The Five-Dimension Review Framework

At LOGOS Market Edge, we review every trade across five dimensions. Not all dimensions apply to every trade, but using a consistent framework ensures nothing important is missed.

Dimension 1: Thesis Accuracy

Question: Was my directional view correct?

This is the most obvious dimension — but it's also the easiest to misinterpret.

• Thesis confirmed: Price moved in the expected direction for the expected reasons
• Thesis partially confirmed: Direction was correct but the reasoning was incomplete or the path was different than expected
• Thesis invalidated: Direction was wrong or the conditions that supported the thesis changed
• Thesis untested: Price never reached the entry zone or the trade wasn't taken

Recording thesis accuracy separately from P&L is critical. A trade can be profitable with a wrong thesis (luck). A trade can lose money with a sound thesis (normal variance). If you only measure outcomes, you'll reinforce lucky bad habits and abandon sound processes.

Dimension 2: Entry Quality

Question: How well did I execute the entry relative to my planned entry zone?

• Optimal: Entered within the planned zone under the expected conditions
• Acceptable: Entered within the zone but under suboptimal conditions (e.g., during high volatility, on a news spike)
• Poor: Entered outside the zone — chased price, entered early out of impatience, or entered late out of hesitation
• Missed: Didn't enter despite setup occurring as planned

Entry quality is about execution discipline, not whether price immediately went your way. A well-executed entry that immediately reverses is better trading than a sloppy entry that happens to work.

Dimension 3: Invalidation Assessment

Question: Did invalidation conditions trigger? Were they correct?

This is the dimension most traders skip entirely.

• Not invalidated: Thesis remained intact; exit was based on other factors (target reached, time stop, manual close)
• Invalidated correctly: Invalidation conditions triggered and the exit was appropriate
• Invalidated incorrectly: Invalidation conditions were too tight or misinterpreted — the thesis was still intact
• Should have been invalidated: Thesis was clearly broken but the trade was held anyway

This dimension feeds directly into refining your invalidation framework. If your conditions are too tight, you'll exit valid trades prematurely. Too loose, and you'll hold losing trades too long. Review reveals which.

Dimension 4: Risk Management Adherence

Question: Did the trade respect the pre-defined risk parameters?

• Within parameters: Position size, stop-loss placement, and risk per trade were as planned
• Minor deviation: Slight adjustment to parameters that didn't materially change risk exposure
• Significant deviation: Material departure from the risk plan — oversized, stop moved significantly, added to a losing position
• Not recorded: Risk parameters weren't defined before entry — no basis for assessment

Risk management adherence is a binary discipline measure. It doesn't matter whether the trade was profitable. If you broke your risk rules and made money, you reinforced a dangerous pattern. If you followed your rules and lost, you practiced sound trading.

Dimension 5: Process Adherence

Question: Did I follow the full methodology — observation through decision through recording?

This is the meta-dimension. It asks whether you used your system at all.

• Full process: Observation → Reasoning → Decision → Recording — all stages completed before entry
• Partial process: Some stages completed but others skipped or rushed
• Minimal process: Bare-minimum analysis; decision driven by impulse or FOMO
• No process: Trade had no structured reasoning behind it

Process adherence is the leading indicator of long-term results. A trader with high process adherence and a 40% win rate will outperform a trader with low process adherence and a 60% win rate over time — because the process-driven trader is improving, and the impulse-driven trader is random.

The Review Document

A structured review doesn't need to be long. It needs to be consistent. Here is a template:

This takes two minutes to complete per trade. The value is not in any single review — it's in the pattern that emerges across dozens of reviews.

From Individual Reviews to Systematic Improvement

Individual trade reviews identify single errors. Aggregated reviews identify systematic weaknesses.

After 20—30 reviewed trades, patterns become visible:

• Thesis accuracy trending down? Your market reading framework needs examination. Are you misidentifying structure? Overweighting certain signals?
• Entry quality consistently "Acceptable" or "Poor"? Execution discipline, not analysis, is the problem. Work on patience and entry mechanics.
• Invalidation consistently triggering "too late"? Your invalidation conditions are too loose or you're overriding them.
• Process adherence dropping over time? You're trading more but thinking less. Reduce frequency. Increase preparation per trade.
• Risk management deviations clustering on losses? Revenge trading pattern. This needs behavioural intervention, not analytical refinement.

The monthly review — looking at aggregate patterns across all reviewed trades — is where the real improvement happens. The weekly review of individual trades feeds the monthly pattern analysis.

Common Review Mistakes

1. Reviewing Only Losers

Winning trades contain as much information as losing ones. A profitable trade with poor process adherence is more dangerous than a losing trade with sound process — because it teaches the wrong lesson.

2. Hindsight Analysis

"The chart shows a clear double top — I should have seen it." Of course it's clear now. The review should examine what was knowable at the time of the trade, not what became obvious afterwards.

3. Overfitting One Trade

Changing your entire approach because of one outcome is the fastest way to never develop a consistent edge. Patterns across many trades matter. Single outcomes are noise.

4. Skipping the "Change for Next Trade" Field

If every review ends with "None — process was sound," either your process is perfect (unlikely) or you're not looking hard enough. There is always something — even if it's small.

How LOGOS Applies This

The LOGOS Market Edge research system builds post-trade review into its standard workflow. Every weekly briefing cycle includes an outcome review stage where previous theses are examined against actual market developments.

Members receive:

• Structured weekly briefings with explicit thesis, entry zones, invalidation conditions, and scenarios
• Outcome review documents comparing published analysis to actual outcomes
• Research archive access so members can examine the full record of LOGOS analysis over time
• A complete audit trail — every thesis, every outcome, every review preserved and accessible

This is the difference between a signal service and a research system. Signals tell you what someone thinks will happen. A research system shows you what was thought, what happened, and what was learned — over and over, building a record that improves with every cycle.

Systematic outcome reviews are part of every LOGOS weekly briefing cycle. Members receive outcome review documents that compare published analysis to actual market developments.

Summary

• Recording trades is not the same as learning from them
• Review across five dimensions: thesis accuracy, entry quality, invalidation assessment, risk management adherence, process adherence
• Distinguish outcomes (P&L) from process (was the reasoning sound?)
• Use a consistent review template — speed and consistency matter more than detail
• Aggregate individual reviews monthly to identify systematic patterns
• Review winners as carefully as losers
• Change one specific thing per review — small, cumulative improvements compound

Before reviewing your trades, make sure you understand how to know when your thesis was invalidated — the distinction between getting stopped out and having your reasoning proved wrong is the foundation of useful trade review.