Analytics
Analytics answers "how am I actually doing?" across whatever range and accounts you have selected. It reads the same matched trades as the calendar, so anything that changes the Journal changes this page too. If a number looks wrong, check Journal Settings before anything else.
The four gauges
Every Analytics session opens with the same four scores, and each one is clickable for an explanation of what it measures and why it matters.
| Gauge | What it measures | Underlying number |
|---|---|---|
| Edge Score | How much you earn per trade on average | Expectancy, scaled against your average win and loss |
| Win Quality | The relationship between how often you win and how big those wins are | Profit factor |
| Consistency | How smooth and predictable your equity curve is | R-squared of the curve against a straight line |
| Risk Control | How well you manage drawdowns relative to profits | Recovery factor, total profit divided by max drawdown |
Edge Score needs 40+ trades before it will produce a number, and the other three need 20+. Below those thresholds the gauge shows amber with your current sample size instead of a score.
This is deliberate. A 12-trade sample can show a 3x profit factor and mean nothing, and a metric that flatters a tiny sample is worse than no metric. Expect the gauges to stay grey early on.
Each gauge also writes a sentence of context using your actual numbers rather than a generic band. A marginal Edge Score will tell you how far above your breakeven win rate you actually are; a weak Win Quality will tell you how many average wins one average loss erases.
How the gauges score
Each gauge converts one underlying number into a 0-100 score. The bands are below, and they are identical on Analytics and Insights, so the same trade history produces the same score on both pages.
Edge Score, from expectancy
Expectancy is measured against your own typical trade size, so the score means the same thing whether you trade micros or full-size contracts.
reference = max(|avg win|, |avg loss|, 1)
score = 50 + (expectancy / reference) x 50 capped at 100
A score of 50 is breakeven. Expectancy equal to your reference trade size scores 100. Negative expectancy always scores red regardless of the number.
Win Quality, from profit factor
| Profit factor | Score |
|---|---|
| 3.0 and above | 100 |
| 2.0 to 3.0 | 75 + (PF - 2.0) x 25 |
| 1.5 to 2.0 | 60 + (PF - 1.5) x 30 |
| 1.0 to 1.5 | 40 + (PF - 1.0) x 40 |
| below 1.0 | PF x 40 |
Landmarks: PF 1.0 scores 40, 1.5 scores 60, 2.0 scores 75, 3.0 scores 100. Green starts at PF 1.67.
Consistency, from R-squared
score = R-squared x 100
A direct conversion, so an R-squared of 0.72 scores 72.
Risk Control, from recovery factor
| Recovery factor | Score |
|---|---|
| 5.0 and above | 100 |
| 3.0 to 5.0 | 80 + (RF - 3.0) x 10 |
| 1.0 to 3.0 | 50 + (RF - 1.0) x 15 |
| below 1.0 | RF x 50 |
Landmarks: RF 1.0 scores 50, meaning your profit exactly equals your worst drawdown. RF 3.0 scores 80, and RF 5.0 or better scores 100. Green starts at RF 2.0.
Colour thresholds
All four gauges use the same thresholds: green at 65 and above, amber from 45 to 64, red below 45.
Statistics
Three cards carry the raw numbers behind the gauges.
Trade Stats — trades, W/L, win rate, profit factor, average winner, average loser, W/L ratio, expectancy.
Risk — max drawdown, recovery factor, Sharpe, Sortino, R-squared, win streak, loss streak, trading days.
Execution — how your orders actually filled, alongside a detailed-stats view for the full breakdown.
Charts
Equity curve. Your cumulative result over the selected range, with a dollar/percent toggle. Percent needs a known account balance baseline; without one it falls back to dollars.
Daily P&L bars. Per-day result across the range, with the same dollar/percent toggle.
MAE vs MFE. A scatter of every trade's maximum adverse excursion against its maximum favourable excursion: how far each trade went against you before it worked, and how much was on the table at the best point. It is the clearest view of whether you are stopping out too tight or giving back too much. The same card flips to Metrics Over Time, which tracks win rate, average win, and average loss across days so you can see whether a change in approach actually moved them.
Time of Day / Day of Week. One card, two views. Both answer the same question from different angles: when are you actually making money? Traders regularly find a single session or weekday carrying, or wrecking, the whole record.
Symbol Performance. Result per instrument, which is where a strategy that works on one product and not another shows up.
Reading it honestly
The gauges score your history, not your future. A strong Edge Score across 40 trades is evidence, not a guarantee, and the page will tell you when your sample is too small rather than pretend otherwise. Tag your trades in the Journal and the breakdowns get considerably more useful, because you can see which strategy or setup is responsible for the numbers instead of only the total.
For "will I pass this evaluation", see Insights.