Your statement and your journal both contain more information than you are using. Most traders open the file, sort by profit and loss, and read the top and the bottom of the list. That answers one question: which trades made money and which cost money. It is a question about the past.
There is a second read available in exactly the same rows, and it is the more useful one while you are still deciding how you want to trade. Group your closed trades by how long you held them, then by which session you opened them in. Then look at how you behaved inside each group. That read is about fit: which conditions you can operate in without fighting yourself.
So ask which conditions you operate well in, not which trades made money.
Profit Is The Wrong First Question
A profit and loss column is a mixture. It contains your entry, your position size, the conditions on the day, how you managed the trade once it was live, and chance. Two trades with the same number next to them can come from completely different behaviour. A disciplined trade sized small shows up as a small number. A sloppy trade sized large shows up as a big one. Sort by that column and you are partly ranking your size decisions, not your reading.
Fit is a different variable, and you can read it without knowing whether a trade won. Did you hold it for the reason you wrote down? Did you close it early because you could not sit with it? Did you move the stop? Did you need to watch the screen the whole time? Did you open another trade eleven minutes later because the first one annoyed you? None of those questions need the result column.
So ask which conditions you operate well in, not which trades made money. The first question has an answer you can act on this week. The second has an answer that changes every month.
TWO READS, ONE FILE
The fit read
Which conditions do I operate well in?Answerable from behaviour alone: planned exits, stable size, no clusters. You can act on it this week.
The results read
Which of these made money?Partly ranks your size decisions rather than your reading, and says nothing about conditions.
Sort By Hold Time Before Anything Else
THE HOLD-TIME CUT
Hold time is the cleanest first cut because it is recorded automatically and you cannot argue with it. Make three buckets: trades held under thirty minutes, trades held from thirty minutes to four hours, and trades held longer than that, including anything carried overnight.
Three buckets, not six. More buckets and each one becomes too thin to read. If your records suggest different boundaries — if nearly everything you do closes inside ten minutes — use your own, but keep the count to three.
Now count. How many trades sit in each bucket? Then, inside each bucket, mark three things: how many you closed by hand before either your stop or your target was reached, how many had a stop moved after entry, and how many were followed by another entry within the hour. You are building a behaviour profile per bucket, not a performance table.
Sample size matters here. Read this as a finding only if you have at least forty closed trades in total, and treat any bucket holding fewer than ten as a note rather than a conclusion. If you do not have forty, that is itself a result: it usually means you changed approach before any approach had a chance to show you anything.
Then Cut The Same Trades By Session
Now take the same rows and re-sort them by the session you opened in. Four buckets again, by your own clock: the Asian hours, London, New York, and the late New York hours once the day's data has been digested.
Gold does not behave the same way in all four. Ranges, spread and the speed of a move all change through the day, and so does your attention. A trader who reads structure patiently at ten in the morning is a different trader at eleven at night after a full day of work. The session column captures both the market condition and your own condition at the same time, which is exactly why it is worth looking at.
Cross the two cuts if you have the trades for it. Short holds opened in London are a different animal from short holds opened late in New York. You are looking for the squares of that grid where your behaviour looks like the plan you wrote, and the squares where it does not.
You are looking for the squares of that grid where your behaviour looks like the plan you wrote, and the squares where it does not.
What Fit Looks Like In The Data
Fit shows up as boring consistency. Trades that reached a planned exit, stop or target, without a hand on the mouse. Position size that stays in a narrow band across the bucket. Few entries clustered within minutes of each other. Notes that were actually written at the time, because you had the attention spare to write them.
Misfit has its own fingerprints. A bucket where almost every trade was closed by hand. A bucket where hold times scatter from two minutes to two days with no stated reason. Clusters of three or four entries inside the same half hour. Size that doubles after a loss and halves after a win.
The awkward finding is usually this: a bucket you trade often is not the same as a bucket you trade well. Most traders have one square of the grid they live in out of habit — often the one that happens to be open when they get home — and the behaviour markers in that square are the worst on the page. Frequency is a scheduling fact. Fit is a behaviour fact. They are allowed to disagree, and when they do, that is the most useful thing your history will tell you all year.
Write the finding down in one sentence. Something like: my cleanest behaviour sits in holds of thirty minutes to four hours opened in London, and my worst sits in sub-thirty-minute trades opened late in New York. That sentence is the output of the whole exercise.
READING A BUCKET
A hold-time and session bucket with ten or more closed trades in it.
Planned exits, size in a narrow band, few entries clustered within minutes of each other.
ThenWrite the sentence: this is where your cleanest behaviour sits, and practise there deliberately.
Busy bucket, but almost every trade was closed by hand and size doubles after a loss.
ThenFrequency is a scheduling fact, not fit. Log it as the habit to work on.
Fewer than ten trades in the bucket.
ThenRead it as a note, not a finding. Keep collecting before you judge it.
Naming The Pattern With Know Your Style
Once you have that sentence, it helps to have a name for the pattern and a vocabulary for its failure modes. That is what the Know Your Style questionnaire in the member app is for. You answer a set of questions about how you trade and it returns an archetype — the Brand New Beginner, the System Hopper, the News Trader and others — each with its listed weaknesses, its common mistakes, the focus points that go with it, and a path of MMFX resources to work through.
It is a description, not a diagnosis of your account. Know Your Style does not read your statement and does not know what the market will do. Its value is as a second opinion against the sentence you just wrote yourself. If your buckets show entries packed into the minutes around scheduled releases, the News Trader profile gives you concrete things to practise: waiting for the post-news pullback instead of chasing the first spike, and defining no-trade windows around the release itself. If you could not reach forty closed trades because you changed framework three times, the System Hopper profile points at one framework, a journal, and a sample worth judging.
Use it in that order. Read your own grid first, then read the archetype, then look at where the two agree. Where they agree, you have a habit worth working on. Where they disagree, you have a question worth taking to a mentorship session.
Trading carries risk of loss. Every decision you take in your account is yours alone, and nothing on this page is financial advice.