Pattern & P&L Insights
Your own data shows which conditions precede your worst sessions — a bad night's sleep, a loss the day before. Signals stay hidden until there's enough real history to mean something, never invented from a handful of days.
Pattern Mirror
What actually happens on the days you don't follow the plan
Most common trigger: Desperation — needed it back
Risk Signals
What tends to be true before it goes wrong — not after
On days you flagged financial pressure, your violation rate was 61% — vs 12% otherwise.
Based on 9 flagged days vs 34 clear days.
The day after a logged loss, your violation rate was 47% — vs 9% otherwise.
Based on 11 days after a loss vs 41 other days.
This Is What Seeing Yourself Clearly Looks Like
Illustrative sample — every number here only appears once you have enough real history behind it. No pattern shown from luck.
Illustrative sample — every number here only appears once you have enough real history behind it.
Statistical Honesty, Not a Guess
Risk signals only render once both sides of a comparison clear a minimum sample size — the app won't tell you “you always tilt on Mondays” off three data points. It waits until the pattern is real, then shows it plainly: what actually tends to be true before things go wrong, not after.
Common Questions
Does this predict my next trade?
No. It shows correlations from your own history — a bad night's sleep correlating with a violation, for example — not a forecast of what happens next.
Where does the data come from?
Entirely from your own Daily Close entries — nothing external, nothing guessed.
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