# How to Tag Trades for Faster Journal Analysis > Tags are the most powerful and most underused feature in any trading journal. Here is how to build a tagging system that makes your analysis fast and specific. **Tags:** trading-journal, tags, categorization, analysis **URL:** https://traderjournal.app/trading-journal/how-to-tag-trades-for-faster-analysis --- # How to Tag Trades for Faster Journal Analysis Tags transform a chronological list of trades into a queryable database. Without tags, you can only analyze your trades by date and symbol. With tags, you can ask questions like: "How do my trend continuation trades perform compared to my reversal trades?" or "Are my A-grade setups profitable while my C-grade setups are not?" Here is how to build a tagging system that works. --- ## Why Tags Matter More Than Notes for Analysis Notes are narrative. They are hard to aggregate across 200 trades. "Entered on a clean pullback" in 40 different notes does not help you filter and compare - you would have to read all 40 notes manually. Tags are structured. "pullback" as a tag on 40 trades means you can filter for that tag and instantly see: 40 trades, 62% win rate, 1.7 profit factor. That is actionable information you get in seconds. --- ## Core Tagging Categories A good tagging system covers two or three dimensions consistently: **Dimension 1 - Setup Type** What was the technical reason for the entry? Examples: - breakout - pullback - reversal - range-fade - trend-continuation - news-fade - support-bounce - resistance-rejection Pick specific terms that match your actual strategies. Do not use generic terms that could describe anything. **Dimension 2 - Entry Quality** How good was the entry compared to your criteria? Examples: - A-grade (all conditions met perfectly) - B-grade (most conditions met, minor compromise) - C-grade (marginal setup, some conditions missing) - revenge (entered emotionally after a loss) - fomo (entered because you feared missing the move) The quality tags are the ones that produce the most revealing analysis. Your A-grade trades almost certainly outperform your C-grade trades. The dollar gap between them tells you exactly how much your disciplined trading is worth vs your undisciplined trading. **Dimension 3 - Session or Market Condition (Optional)** - london - new-york - asian - overlap - trending - ranging - news-week --- ## How Many Tags Per Trade Two to four tags per trade is the practical maximum. More than four and the tagging becomes burdensome enough to skip. A typical entry: "pullback, A-grade, london" That is three tags covering setup type, quality, and session. Enough to run meaningful analysis across all three dimensions. --- ## Consistency Is Everything The only rule that matters for tagging: once you define a tag, use it the same way every time. If you use "breakout" to mean any break of a level but sometimes also use "BO" and sometimes use "break" for the same thing, your data is fragmented. Filtering for "breakout" will miss a third of your breakout trades. Set your tag vocabulary before you start collecting data. Write it down. Use it exactly the same way for 90 days before considering any changes. --- ## Building a Tag Analysis Session After 60-90 days of consistent tagging: 1. Filter by your primary setup tags and compare win rate, profit factor, and net P&L across each 2. Filter by quality grade - what is the performance gap between A-grade and C-grade? 3. Filter by session - which sessions perform best for each setup type? 4. Cross-filter - breakout + A-grade + london. What does that combination show? Each layer of filtering either confirms your edge or narrows it to a more specific set of conditions. --- In Trader Journal, tags are entered as comma-separated values on the Trade Detail page. The tags you add are searchable and will support future reporting features. Start building your tagging vocabulary now so it is consistent from day one. Download at android.traderjournal.app or ios.traderjournal.app.