R-multiple first.
Process grade alongside outcome.
Equity curve, win-rate trend, R distribution, mood vs performance, time-of-day, hold-time vs R, distortion frequency, rule-break impact. The full surface.
PnL is a vanity metric
A great trader has a great process. PnL is the lagging indicator.
Most journals show you net P&L by day, win rate by week, and call it analytics. Kaxse shows you process grade vs outcome, named distortion frequency over time, mood-vs-performance correlation, and rule-break impact in real R-multiples. The metrics that explain why this month was different.
Last 90 days
Equity curve
R distribution
Time of day
Mood vs R
What it actually does
Equity curve + win-rate trend
Smooth, normalised, R-multiple based. Both curves over the same time window so divergence is obvious.
R-multiple distribution
Histogram with the median, mean, and skew called out. The shape tells you what kind of trader you actually are.
Process grade alongside PnL
Filter by grade. A losing week of A-grade trades vs a winning week of D-grade trades — Kaxse shows the difference clearly.
Mood vs performance scatter
Each dot is a session, X axis is mood, Y is R. The trend line is the brutal truth.
Time-of-day P&L
Hourly buckets across the trading day. The morning danger zone usually shows up in red. Compelling reason to delay first entry.
Distortion frequency over time
Revenge trading, FOMO, sunk cost — counted by the AI coach as detected and charted month over month.
How it works
The flow, end to end.
01
Data flows in automatically
Broker fills, manual entries, CSV imports — all feed the same analytics surface. Live + historical merged seamlessly.
02
Filter by everything
Date range, symbol, side, playbook, grade, tag, mood. Every chart updates in real time as filters change.
03
Export at any time
CSV / JSON export from the data settings page. Your data is always yours.
Ready to put analytics to work?
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Kaxse never places or cancels orders on your account.