We analyzed journaling patterns across 1,200+ TSB accounts. The traders who improve fastest track 5 essential fields from day one, add 5 more after 2 weeks, and only touch the advanced fields after 50+ trades. The traders who try to track everything from the start quit within 10 days. Below is every field worth tracking — tiered by when to add it.
5 Fields Every Trader Must Track From Day One
These fields take less than 2 minutes per trade. They answer the only question that matters early on: what am I actually doing?
| Field | What to Log | What It Reveals | Example |
|---|---|---|---|
| 1. Date & time | When you entered the trade | Your best/worst trading hours, session performance | Mar 15, 10:22 AM EST |
| 2. Instrument | What you traded | Which markets you actually make money in | EUR/USD, BTC/USDT, ES |
| 3. Direction | Long or short | Many traders are significantly better at one direction | Long |
| 4. P&L (result) | Dollar amount won or lost | The number that matters — not pips, not ticks, dollars | +$185 / -$92 |
| 5. Setup / reason | One sentence: why you took this trade | Separates planned trades from impulse trades | "Break of 1.0850 resistance with volume" |
In our data, roughly two-thirds of losing trades among new traders have vague or missing reasons: "looked good", "felt like it would go up", or just blank. After 30 trades, filtering by reason quality shows a noticeable difference in win rate (often 10-15 percentage points) between trades with specific setups vs vague entries. This single field is what turns a journal from a log into a learning tool.
5 Fields That Unlock Real Analysis
Once the basic 5 are habit (you log them without thinking), add these. They turn your journal from a simple log into something that can actually diagnose problems.
| Field | What to Log | What It Reveals | Example |
|---|---|---|---|
| 6. Entry price | Exact fill price | Whether your entries are accurate to your plan | 1.0847 |
| 7. Exit price | Exact fill price | Whether you're exiting at target or panicking out early | 1.0891 |
| 8. Position size | Lots, contracts, or shares | Whether you're sizing consistently or gambling on some trades | 0.5 lots / 2 contracts |
| 9. Stop loss | Where your stop was placed | Your actual risk-reward ratio (not the one you planned) | 1.0820 |
| 10. Emotional state | One word: how you felt entering the trade | The correlation between emotions and results | Calm / Anxious / Revenge / FOMO |
Why emotional state deserves its own row
We tracked this across 800+ TSB accounts that log emotions. The data is consistent:
| Emotional State | Avg Win Rate | Avg P&L per Trade | Sample |
|---|---|---|---|
| Calm / Neutral | 52% | +$47 | 12,400 trades |
| Confident | 49% | +$31 | 4,200 trades |
| Anxious / Uncertain | 43% | -$18 | 3,800 trades |
| FOMO | 38% | -$62 | 2,100 trades |
| Revenge / Frustrated | 31% | -$94 | 1,500 trades |
Revenge trades have a 31% win rate and lose an average of $94 per trade. Calm trades: 52% win rate, +$47. That's a $141 per-trade swing based purely on emotional state. No indicator, no strategy change — just whether you were calm or frustrated when you clicked the button.
For more on this, read our revenge trading guide.
5 Advanced Fields for Serious Traders
These fields are for traders who already have the habit and want to optimize. Don't add them until you have 50+ trades logged — they require enough data to be meaningful.
| Field | What It Does | Who Needs It |
|---|---|---|
| 11. Take profit level | Where your target was — reveals if you're cutting winners short | Traders with RR below 1.5:1 |
| 12. Trade duration | How long you held — shows if you're overholding losers | Swing traders, anyone who "hopes" trades come back |
| 13. Session / market condition | London, NY, Asia, news day, range, trend | Traders who suspect they only work in certain conditions |
| 14. Screenshot / chart | Visual record of entry — catches things numbers miss | Visual learners, traders reviewing weekly |
| 15. Tags / categories | Custom labels: "breakout", "scalp", "swing", "A+ setup" | Traders with multiple strategies who need to compare them |
The power of tags after 100 trades
Once you have 100+ trades with tags, you can answer questions like:
- "My breakout trades have a 55% win rate but my pullback trades are at 42% — should I stop trading pullbacks?"
- "My A+ setups have 2.3:1 risk-reward but my B setups are at 0.8:1 — I'm losing money on B trades"
- "London session: +$1,200/month. New York session: -$400/month. Maybe I should stop trading NY."
These insights are impossible without tags. But they're also impossible with fewer than 100 trades per tag. Add them when you're ready — not before.
4 Fields That Waste Your Time
Not everything is worth logging. These fields sound useful but rarely produce actionable insights.
| Field | Why It's a Waste | What to Do Instead |
|---|---|---|
| Indicator values at entry (RSI, MACD) | Creates false precision. "RSI was 32" doesn't explain why the trade worked or failed. | Track the setup name instead: "oversold bounce" |
| Multi-timeframe notes | "H4 bullish, H1 pullback, M15 engulfing" — too much detail, never reviewed | One sentence: "H4 trend + M15 entry trigger" |
| Pip count | Pips without context are meaningless. 50 pips on 0.01 lots = $5. Track dollars. | Track P&L in dollars — the actual impact on your account |
| News event that was happening | Unless your strategy is news-based, this is noise. The market moved; your job is the trade, not the reason. | Tag "news day" if you trade around events — that's enough |
A Week of Real Journal Entries
Here's what a week of journaling looks like using all 10 fields (Tier 1 + Tier 2). This is from a forex day trader with a breakout strategy.
| Date | Pair | Dir | Entry | Exit | SL | Size | P&L | Setup | Emotion |
|---|---|---|---|---|---|---|---|---|---|
| Mon 10:15 | EUR/USD | L | 1.0845 | 1.0892 | 1.0820 | 0.5 | +$235 | London breakout | Calm |
| Tue 9:48 | GBP/USD | S | 1.2710 | 1.2738 | 1.2740 | 0.5 | -$140 | Resistance reject | Calm |
| Tue 10:25 | GBP/USD | S | 1.2742 | 1.2768 | 1.2770 | 0.8 | -$208 | Same setup retry | Revenge |
| Wed 10:05 | EUR/USD | L | 1.0861 | 1.0899 | 1.0842 | 0.5 | +$190 | Trend continuation | Calm |
| Thu 14:32 | USD/JPY | L | 149.85 | 150.22 | 149.60 | 0.3 | +$111 | NY session breakout | Confident |
| Fri 9:30 | EUR/USD | L | 1.0878 | 1.0855 | 1.0855 | 0.5 | -$115 | Pre-NFP breakout | Anxious |
What the weekly review reveals
- Win rate: 3/6 = 50% — fine for a breakout strategy
- Net P&L: +$73 — positive week, but barely
- The problem: Tuesday's revenge trade (-$208) turned a $73 week into what should have been a $281 week. Larger size (0.8 vs 0.5), same setup, emotional entry.
- Emotional pattern: All 3 winners were "Calm." Both losses beyond the planned one were "Revenge" and "Anxious."
- Action: Add a rule — no re-entry on the same instrument within 1 hour of a stop-out.
This is what journaling actually does. Without it, you'd see "+$73, decent week" and move on. With it, you see that one revenge trade cost you 74% of your potential profit — and you know exactly what rule to add.
What to Track by Trading Style
Not every field matters for every trader. Here's what to prioritize based on how you trade.
| Trading Style | Essential Extra Fields | Why |
|---|---|---|
| Scalper | Trade duration, session, trade count per day | Scalpers overtrade more than any other style. Tracking count per day shows when you're past your edge. |
| Day trader | Time of entry, emotional state, setup name | Day traders have clear optimal windows. The data will show you which 2-3 hours produce 80% of your profits. |
| Swing trader | Trade duration, original thesis, partial exits | Swing traders need to know if they're exiting too early. Track planned vs actual hold time. |
| Prop firm trader | Drawdown remaining, daily loss used, rule violations | Survival is the goal. Track your distance to the fail line after every trade. See our prop firm rules cheatsheet. |
| Crypto trader | Funding rate, exchange, fees paid | Crypto fees and funding rates eat profits silently. A trade that made $100 but cost $30 in fees only made $70. |
Where These Numbers Come From
The emotional state data, win rates, and journaling dropout patterns referenced in this guide come from anonymized, aggregated data across TSB user accounts. Sample sizes are noted in each table. Individual results vary — these are averages across hundreds of traders, not guarantees. We publish this data because we believe trading education should be backed by real numbers, not opinions.
Last updated: March 2026.
Start With 5 Fields. Add When You're Ready.
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