Reviewing trades manually means reviewing the trades you remember. TradeJournal's AI review processes every trade equally — surfacing the patterns your memory edits out.
Statistical analysis only · Not investment advice · Works for FX, stocks, crypto & futures
Every trader reviews their trades. But most do it the same way: scroll back through the chart, remember the ones that stand out, and draw conclusions from whatever comes to mind first. That's not a review — it's a highlight reel curated by your memory.
Recency bias means you weight last week's trades more than last month's. Outcome bias means a losing trade that followed your rules feels like a mistake. Availability bias means the big winners and losers crowd out the dozens of average trades that define your actual edge.
A structured trading review — one that covers the full dataset, not just what you remember — is the only way to see your actual patterns. That's what TradeJournal builds for you automatically.
Six dimensions that separate a useful trading review from a superficial one.
Raw profit matters, but R-multiple tells you whether your edge held up independent of position sizing.
Win rate during Tokyo, London, and New York sessions often differs significantly. Knowing where you perform tells you where to focus.
Trades taken when calm vs. anxious vs. overconfident show different outcomes. Your review should surface this split.
What percentage of trades followed your own rules? A high violation rate during losing weeks is a signal, not a coincidence.
A flat or declining equity curve during a period tells you more than the final P&L number. Look at the shape, not just the end point.
A review without action items is just reflection. End every review with one to three concrete adjustments to test in the next period.
TradeJournal's AI review is a statistical summary of your recorded trade data. It does not predict markets or recommend trades — it finds patterns in what you have already done.
Record each trade: symbol, direction, P&L, R-multiple, session, and emotional state at entry. Takes under a minute per trade.
Choose any date range — weekly or monthly. TradeJournal compiles your data and sends it to the AI for analysis.
Get a structured report: winning patterns, losing patterns, rule compliance summary, and specific focus areas for the next period.
The example below is illustrative only — generated from fictional trade data to show the format. It is not based on real trading results and does not represent investment advice.
Weekly Trading Review
Mar 17 – Mar 21, 2025 · 14 trades
57%
Win rate
+0.82R
Avg R
79%
Rule compliance
+4.1R
Net P&L
This review is a statistical summary of logged trade data. It does not constitute investment advice or a recommendation to trade any particular instrument.
Same data, fundamentally different output.
| Aspect | Manual Review | TradeJournal AI Review |
|---|---|---|
| Coverage | Focuses on recent or memorable trades — recency bias is unavoidable | Processes every trade in the period with equal weight |
| Time required | 30–90 minutes per week to compile and analyze manually | Generated in seconds from your logged data |
| Emotion vs. results | Hard to quantify — usually skipped or estimated | Exact win rate and average R by emotional state at entry |
| Session analysis | Requires manual filtering and calculation per session | Automatic breakdown: Tokyo / London / New York stats |
| Rule compliance | Requires remembering which rules applied to each trade | Automatic violation tracking with weekly compliance rate |
| Consistency | Quality varies — skipped when tired or after bad weeks | Same analysis every week, regardless of emotional state |
A trading review is a structured analysis of your recent trades — win rate, average R-multiple, rule compliance, emotional state at entry, and session patterns. The goal is to identify what's working and what isn't so you can make deliberate adjustments going forward.
Most active traders benefit from a weekly review. It's frequent enough to catch bad habits before they compound, but infrequent enough that you have a meaningful sample of trades to analyze. Monthly reviews are useful for spotting longer-term shifts.
A thorough review should cover: overall P&L and R-multiple, win rate by session (Tokyo / London / New York), performance by emotional state at entry, rule violation rate, your biggest winners and losers with context, and specific adjustments to test next week.
No. The AI review is a statistical summary of trade data you have already recorded. It does not predict markets, recommend positions, or provide financial advice of any kind. All analysis is based solely on your logged data.
Manual reviews rely on memory, which means you unconsciously focus on recent or emotionally salient trades. An AI review processes your entire dataset equally — it can surface patterns across hundreds of trades that would be invisible in a manual review.
Yes. The free plan lets you log up to 30 trades per month and use the core dashboard. AI-powered trading reviews are available on Standard and Pro plans. No credit card required.
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