Most journals hand you a pile of vanity stats — total trades, running P&L, biggest winner. Journali surfaces the metrics that change how you trade: expectancy, R-multiple distribution, and per-setup win rates, all mapped onto a calendar heatmap so you see your month at a glance.
Most trading journals overwhelm you with metrics that look impressive on a marketing page and change absolutely nothing about how you trade next week. Your total P&L this year is not a decision metric. Your biggest winner is not a decision metric. Your trade count is not a decision metric.
A decision metric is one where the number, considered alone, suggests a specific adjustment. Your expectancy per trade is a decision metric — because if it's negative, you know with certainty that trading more will lose more. Your per-setup win rate is a decision metric — because the setup with the highest expectancy is the one you should be sizing up. Your R-multiple distribution is a decision metric — because if most of your winners are under 1R, your exits are killing your edge.
Analytics should tell you what to do differently next week, not just how you did last week. Journali surfaces the narrow set of metrics that reliably correlate with future P&L — and cuts the stats that feel good but don't move the needle.
Every trading day colored green, red, or flat. One glance and you see your month — which days carried you, which days hurt, which weeks you overtraded. Click any day for the trade list.
Your average R per trade, broken down by tagged setup. Your Breakout might be +1.4R expectancy and your Fade might be −0.2R. Size accordingly.
Histogram of your trade outcomes in R. If your winners cluster at +1R and your losers hit −1R cleanly, you need to let winners run. Right-tail distributions win.
Every trade tagged by session. See exactly which hour of the day you make money in and which hour consistently gives it back. Most traders have a clear answer they'd be shocked by.
Live equity curve with drawdown zones shaded. See your max drawdown, time-to-recover, and whether you're currently above or below your previous high-water mark.
One-click export for prop firm payout requests, accountant handoff, or personal record-keeping. PDF includes the calendar and core metrics; CSV gives you the raw trade data.
| Analytic | Journali | TradeZella | TraderSync | Tradervue |
|---|---|---|---|---|
| Calendar heatmap | Yes | Yes | Yes | No |
| Per-setup expectancy | Yes | Win rate only | Win rate only | Win rate only |
| R-multiple distribution | Yes | No | Limited | No |
| Drawdown timeline | Yes | Yes | Yes | Premium only |
| Export PDF + CSV | Both | PDF only | CSV only | Both |
| Included at entry plan | Pro $20 | $29/mo | $29.95 | $29/mo |
R-multiple is your trade outcome expressed in units of risk. A +2R trade means you made twice what you would have lost if stopped out. R normalizes across position size and volatility, which is why it's the standard output unit for professional performance tracking. Win rate alone can't tell you if you're profitable — a 70% win rate with 0.3R avg wins and 1R avg losses is a losing strategy.
Yes — if you connect a broker via Broker Auto-Sync, the calendar updates within 60 seconds of a fill. If you log trades manually, they appear the moment you save. Mixed workflows (some auto-synced, some manual) work fine; Journali deduplicates automatically.
Yes to all three. Every metric on the analytics page responds to filters at the top — date range, symbol, setup tag, side (long/short), account. So you can isolate "my VWAP Reject setup on NQ during the London session in Q1" and get the full stat breakdown.
Yes. Your trade table and analytics feed directly into the AI Coach on Premier. Cleaner data in means sharper insights out — which is why broker auto-sync and the analytics page work together.
Metrics are scale-invariant. A $1,000 account and a $100,000 account both benefit from knowing their expectancy per trade. R-multiple especially is designed to work across account sizes. The only thing that matters is having enough trades to make the sample meaningful — aim for 50+ before drawing conclusions about per-setup metrics.
Decision-grade analytics, built into the same journal you log trades in. No separate dashboard. No setup friction. It just works.
Start Journali Free → 14 core metrics · Calendar heatmap · Per-setup breakdown · PDF/CSV export