The Emotions tracker

Emotions is not a daily mood check-in. It is per-trade attribution: you pick a fill you took, say which states were in play, and split a hundred points between them. The page then reads those hundreds back against the money, so “tilt costs me” stops being a belief and becomes a column.

Logging one

1. 1Pick a fill — from the rail down the side of the page. It lists the month’s individual fills, newest first, and you can step months from its own header.
2. 2Choose the emotions — from a Positive and a Negative tab. Picking first is what keeps step two short — sixteen sliders you have not chosen to use are noise.
3. 3Weight them to a hundred — the step opens on an even split that already sums to 100, and every drag rebalances the others in proportion. There is no over-allocated state to fix and no arithmetic for you to redo.

Intensity IS the share, and there is deliberately no second number for it. An emotion given 70 of a trade’s 100 points showed up strongly; that is exactly what the breakdown’s “Avg intensity” column is averaging. Zero is a legal allocation too — “I considered it and it turned out to be nothing” is a real answer.

Re-opening a fill you have already logged opens on what you saved, with the chips ticked and the sliders where you left them, so correcting a log is the same flow as writing one.

The sixteen

The roster is fixed, and each entry carries a polarity that is a judgement about trading rather than about feelings in general.

• Positive — Discipline, Confidence, Patience, Clarity, Calm focus, Composure, Realistic optimism, Trust in plan.
• Negative — Anxiety, Fear, Frustration, Hope, Greed, Impatience, Overconfidence, Doubt.

Hope is classed negative on purpose, and it is the one worth arguing with before you accept it. Hoping is what a trader does instead of cutting a loser — it is almost never present on a trade that went to plan, and it shows up in the money column accordingly.

What the page shows you

• Three tiles — your most profitable, most costly and most frequent emotion. The first two are chosen by summing each emotion’s net P&L; the third by log count, and it is the only one that carries a figure beside the name.
• Emotional Metrics — positive against negative intensity, one point per day, on one shared scale. It replaced a bar chart because sixteen bars answer “which emotions showed up”, which the tiles above already answer — the line answers “is this getting better”.
• The breakdown table — the evidence for the three tiles: Emotion, Logs, Avg intensity, Win rate, Net P&L, Avg / trade and Last logged. Sort it by most logged, most profitable, most costly or highest intensity.

Both money columns are there on purpose. A total ranks by how OFTEN you feel something — anxiety loses more in total simply because it is logged more. Per-trade is what exposes the rare, brutal one. Either column on its own tells half the story.

A day on which you logged nothing negative is left out of the negative line rather than drawn at the floor. Zero intensity would claim you felt nothing; not logging claims nothing at all, and the chart keeps those apart. Emotions you have never logged are dropped from the table entirely, so an untouched page shows the card’s empty state instead of sixteen rows of “$0” in profit green.

The chart’s own range control — 7, 30 or 90 days, or all time — narrows what is already on screen rather than fetching a different window, so it responds instantly and never disagrees with the table beside it.

Why rate at the time

A state reconstructed a fortnight later is a story you are telling about yourself, and it will agree with whatever you already believe. Rating at the close is what makes the table evidence rather than narration — and for a lot of traders the expensive state turns out to be boredom or impatience rather than anger, which needs a completely different fix.

Logging an emotion changes nothing on the Performance dashboard, and that is by design: an emotion log is not a trade, so it does not move a P&L figure or invalidate one.