A single day can be misleading. Even a week. You can have an excellent day while executing poorly. Or a bad day while following your plan perfectly.
That's why, at a certain point, I started looking less at isolated days and more at what came back over time.
Habits only appear once you accumulate enough data
Do my best results come in the morning? Do I trade too much after a certain hour? Does a particular setup behave differently depending on the session? Do my losses increase after a streak of trades? Do I hold my winners for less time on certain days?
A single transaction doesn't answer these questions. A hundred transactions start to.
That's where statistics become interesting
Not because they give a magic answer. But because they make certain things visible. A trend can appear. A repetition. A difference between two periods. A streak. A change in behavior.
And sometimes, something the trader believed to be true simply isn't when you look at the data.
But I really did not want to turn a correlation into advice
This is important. Seeing that a behavior appears often does not mean the software should say: "do this" or "stop trading that." That would go beyond the role of the journal.
LowFlow can show: over this period, here is what happened. Here are the results. Here are the hours. Here are the setups. Here are the streaks. Then the trader interprets.
The data can also show an evolution
That might be even more interesting. When you look at several months, you can see that something changes. Fewer trades. More patience. Better consistency. Or, on the contrary, a bad habit gradually coming back.
The journal then becomes a kind of mirror over time. Not a judge.
That's exactly the role I wanted to give LowFlow
I don't want to build a system that claims to know how someone should trade. I want to build a system that lets them clearly see what they actually do.
Because a decision always stays human. The role of the software is simply to provide a better view. Make decisions visible, not make them.