A coach that shows its work.

You open the next trade minutes after a loss, because you want the money back. In that moment the plan stops mattering.

The coach reads the clock. When entries cluster minutes after losses, again and again, and the journal notes from those moments sound like getting even, the pattern gets a name and a count.

Twelve of this month's trades opened within minutes of a loss. As a group they lose money; your planned entries don't. Average gap between a loss and the next entry: eight minutes.

Losses hurt roughly twice as much as equivalent gains feel good; that asymmetry is the founding result of prospect theory (Kahneman and Tversky, 1979). The urge to win it back right now is that pain looking for an exit, and it turns one loss into a series.

You close winners fast to lock in the gain, and let losers run hoping they come back. Risk management, inverted.

It compares how long you hold winners against how long you hold losers. When winners get cut in a fraction of the time losers are held, the asymmetry shows up in your own numbers.

Your winners get closed in minutes. Your losers run for hours. The average loss is nearly twice the average win, and it isn't the strategy doing that.

Odean (1998) showed investors realize gains far more readily than losses, holding losers in the hope of a comeback. It's called the disposition effect, and it quietly inverts 'cut losses, let winners run'.

Your trade frequency jumps far above your own baseline, usually driven by FOMO, boredom, or trying to force it. More trades rarely means more profit. It usually means more mistakes.

It knows your baseline frequency. Days that blow past it get flagged, and the journal entries from those days usually explain why.

Most days you take three or four trades. On six days this month you took twelve or more, and those days account for most of the month's damage.

Barber and Odean (2000) put it in the title: trading is hazardous to your wealth. Across thousands of accounts, the ones that traded most earned least. Frequency spikes are usually emotion, not opportunity.

Your results vary by hour and weekday. Fatigue, market phase, focus: when you trade shapes what you get.

It groups your results by hour and weekday and looks for windows where your outcomes consistently differ from your baseline.

Your mornings and your afternoons are two different traders. After 2 p.m. your average trade turns negative. The data says stop earlier.

Attention and discipline are finite. Every decision draws on the same reserve, and late-session trades are made by a more tired version of you. The window matters as much as the setup.

Certain emotional states keep showing up next to your losses, others next to your wins. Without numbers, that stays a hunch.

It reads the emotions you tag and the notes you write, then checks each against the outcomes that followed. Which states cost you money stops being a feeling and becomes a number.

The trades where you wrote 'frustrated' lose. The ones where you wrote 'patient' win. The journal knew before the P&L did.

Lo and Repin (2002) measured it in traders' physiology: emotional state and risk processing are inseparable. Pennebaker (1997) showed that writing about emotion is itself a regulator. The journal isn't decoration. It's the instrument.

After losses your positions grow instead of shrinking: adding to losers, sizing up to get back to even faster. Consistent size doesn't care what the last trade did.

It tracks position size against what happened just before. Size that grows after losses is the tell.

After two losses in a row, your next position is markedly larger. You size up exactly when the data says size down.

Prospect theory's second half: in the domain of losses, people turn risk-seeking (Kahneman and Tversky, 1979). Sizing up after losses is that finding in miniature, sunk cost dressed up as conviction.