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.
Your Real Threshold
The Comfort Loss test asks how a loss would feel. Your real threshold comes from what you actually did: the loss size after which your next trade breaks a rule, opened inside the lockout or taken off the plan. Losses up to $80, say, your next trade held; bigger than that, it broke four times out of five.
No extra question, no extra tap: it's read from the losses you log and the trade after them. It waits for at least five losses on each side of the line, and it only ever suggests a smaller comfort loss, never a bigger one. Sometimes the answer is that size isn't the issue at all, and it says that too.
Trades by Plan
Every logged trade carries one answer: by your plan or not, whatever the result. Insights shows the share over the last 30 days, counts the winners that were off the plan as fails, and the losses taken by the plan as the cost of doing business.
What It's Actually Watching For
Every compromised or violation day gets tagged with what actually happened, not just a score. This is the real list inside the app today — not a marketing sample:
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 what you log yourself: your Daily Close entries, your morning checks and the trades you close during the day. Nothing external, nothing guessed.
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