The short answer
Judge the week on the things you decided, not on what the market paid you for them. Six lines do it: rules kept as a fraction of trades, the letter grade, the week's result in R, that result split by whether the rules held, the worst day in R, and the mistake tag that came up most often. None of them is in currency, and that is the point of the exercise rather than a side effect of it. The dollar number is real and you still need it for size, for the daily budget and for tax. What it cannot do is tell you whether you traded well, because it answers a question about the market, and it arrives at exactly the moment you are least able to hear it.
What is a process goal in trading?
A process goal is about something under your control on every single trade. The setup was written down before the click. The size came from the stop distance and the day's budget. The stop went to the broker and stayed where it was put. The day ended at the number you set that morning. Each of those is a yes or a no, decided by you, knowable within seconds of the trade closing.
An outcome goal is a target for the result: make a thousand this week, be green every day, get the account to a number by December. It is not under your control on any given trade, and on a hard task it is worse than useless.
That is not a slogan. Seijts and Latham reviewed the goal setting research and argued that outcome goals can actively damage performance when what the task needs is the acquisition of knowledge and skill rather than more effort. Their alternative is a learning goal, which in their words draws attention away from the end result and towards the discovery of the strategies that produce it. Trading is the case they describe almost exactly: trying harder does not help, the feedback is noisy, and the thing you are missing is knowledge of your own behaviour. Set a goal for what you learn to do, not for what you are paid.
Does watching your P&L make you trade worse?
There is a controlled answer to this, which is rare in trading.
Frydman and Rangel ran a stock trading experiment in two conditions. In one, the software displayed the purchase price of each holding prominently. In the other, it was not displayed at all. Everything else was the same. Participants showed the usual disposition effect, selling winners more readily than losers, in the high saliency condition. In the low saliency condition the effect was 25% smaller.
The disposition effect is the thing itself, not a curiosity next to it. Odean found it in 10,000 brokerage accounts and showed that rebalancing, costs and tax did not explain it away. It is the mechanism by which a trader holds a loser past the stop and takes a winner off at half of what the plan said. A quarter of it, removed by changing what is on the screen.
You cannot run that experiment at home, and nobody has run it on day traders with real money. What the result does establish is that the number is not a neutral readout. It is an input to the next decision, and it is an input whose effect is measurable. Treating a live dollar figure as harmless information is the claim that has no evidence behind it.
The same applies to the record afterwards. A week measured in dollars invites the comparison that ruins reviews: this week made less than last week, so this week was worse. It may have been the better week. The drawdown arithmetic and R exist precisely so that a week can be compared with a week without the account size, the position size and the luck all being folded into one number.
Why avoiding the P&L goes wrong too
The opposite failure is more common and less discussed.
Karlsson, Loewenstein and Seppi named it the ostrich effect: people attend to financial information when the news is likely to be good and avoid it when it is likely to be bad. Sicherman and colleagues then tested it on real behaviour, using daily login data from a large retirement provider, and found that account logins fell by 9.5% after market declines. Attention to your own record drops on exactly the days the record has the most to teach you.
A trader does the same thing with a journal. The green week gets reviewed. The week with the blown limit does not get opened at all, and the mistake that caused it goes untagged, uncounted and unfixed until it happens again with more size.
So the argument is not that you should look away. It is almost the reverse. A card with no dollar figure on it is a card you can still bring yourself to read on a red week, because there is nothing on it to flinch at. Rules kept can be 89% in a week that lost money, and that is the sentence that keeps a trader at the desk doing the right things long enough for the arithmetic to work.
What should a weekly trading review measure?
Six lines, in this order. An example week, with the numbers made up to show the shape:
| Line | Week 34 |
|---|---|
| Trades | 19 |
| Rules kept | 17 of 19, 89% |
| Grade | B |
| Result | +2.4R |
| R when the rules held | +3.9R |
| R when they did not | -1.5R |
| Worst day | -1.8R |
| Most common mistake | entered early, 5 times |
Read it top down. Rules kept is first because it is the only line that is entirely yours, and because it is the one that moves the others. The grade is next, as a summary of setup, execution and risk rather than of the result. The week's R is third, where it belongs.
The split is the line most traders have never seen and the one that changes minds. Two trades broke the rules and cost 1.5R between them; the other seventeen made 3.9R. The week looks mediocre at +2.4R and was in fact a good week with a leak in it. No dollar figure produces that sentence. A dollar figure produces "made a bit, not enough".
One of those rules can be counted from a file. If you trade futures at Tradovate, a free page here reads its notifications log and counts every move that gave a trade more room.
Worst day matters because it is the number that decides whether you are still trading next year, and the mistake tag matters because it is next week's practice assignment. One assignment, not five. The full method for the review itself, what to write down and when, is in how to learn to trade properly.
An illustration. The weeks are invented.
Is it wrong to look at the money at all?
No, and any guide that tells you to ignore the money is selling a mood.
Dollars decide the position size, because the size comes from the risk in dollars divided by the stop distance. Dollars decide the daily budget, because a limit expressed in R is not a limit your broker or your rent understands. Dollars are what the tax return is denominated in. Dollars are how you know whether this is working as a livelihood, which is a fair question and one the base rates answer badly: of the Brazilians who day traded futures for more than 300 days, Chague and colleagues found 97% lost money.
The distinction is between using the number and being scored by it. Use it to size, to cap the day and to file. Do not use it to decide whether you traded well. A dollar result is a verdict on the market's week as much as on yours, and reading it as a verdict on yourself at two in the afternoon is the state in which the next trade gets taken for the wrong reason. That reaction has a literature of its own, and it is set out in why you keep trading past your limit.
Who should see the card?
Someone who will ask about the two trades where the rules broke.
A card with no dollar figure is unusually good for this, because it cannot be used to impress anyone and cannot be used to hide either. A screenshot of a green day says nothing about how it was made. "17 of 19, graded B, plus 2.4R, and the two misses were both early entries" is a report somebody can actually hold you to next Friday.
An illustration. The example is made up.
One other trader at the same stage works. A mentor works better. A small group works if it has a rule against posting money, which most of them do not. What does not work is an audience, because an audience rewards the interesting week rather than the well traded one, and the interesting week is usually the one where the size was wrong. If you are not sure which kind of account you are running, the scored checklist in is your day trading gambling is twelve questions long.
Where Degen Pro fits
Degen Pro is a Mac app for Interactive Brokers whose journal is built this way round. Every trade is graded on setup, execution and risk and marked for rules kept and whether it was planned, with tags for what went wrong and what you did right. The day gets a report card graded on process rather than money, and a daily review the app writes from the record. The week gets a card with rules kept and a mark for every trade, and no dollar figure and no R on it, made to share with a mentor or a pod.
The R and the grades stay in the app, alongside metrics, a trajectory, a process score, achievements for behaviour rather than money, and goals with streaks. The playbook holds each setup as conditions, must be true, makes it better, stand down, so over time the app can say which conditions earn their place and which cost you trades for nothing. The daily budget, the trade count and the stand-down after a run of reds are set before the open and frozen once armed.
It gives no signals, and it makes no claim about your results. It needs a Mac, and Interactive Brokers for the stop, the keys and the lock; the journal, the limits and the grades work from an export without it. What it costs, and the thirty-day refund.
What to do this Friday
- Count rules kept for the last five days as a fraction of trades. That number is your baseline and you have never had it before. If the record is not there to count from, what to write in a trading journal is the place to start.
- Split the week's R by whether the rules held. Look at the two numbers next to each other.
- Write one mistake tag at the top of next week's plan. One.
- Send the six lines to one person, with no dollar figure on them.
Nothing on that list requires software, and none of it requires a good week to be worth doing. It is record keeping, not investment advice, and it makes no claim about what your results will be. Trading involves risk of loss.