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A journal column for minutes spent in the trade

Time in the trade is one of the simplest numbers to record, since it's just exit time minus entry time, and it's often missing from scalping journals.

Why it's useful. A scalping strategy usually has a typical holding time. If most of your winners last between five and fifteen minutes, a trade that's still open after forty minutes is behaving differently from the plan. Seeing that in the data helps you set a time based exit or at least a review point.

When you sort trades by duration and look at results, patterns often appear. Very short trades, closed within a minute or two, are often either quick stop outs or early exits driven by nerves. Long trades are often losers that were held hoping they'd turn. The middle group is usually where the strategy actually works.

Most platforms record entry and exit times, so the number can be calculated afterwards from the trade history export. It doesn't need to be typed in live.

It also helps to compare winners and losers. If losers last much longer than winners on average, you may be cutting winners too early and holding losers too long, which is a pattern many traders recognise once they see the numbers.

Minutes in the trade is a good column, and it pairs well with the time of entry. Trades opened at the London open tend to resolve faster than trades opened late in the morning, so the same 40 minutes can mean different things depending on when the trade started. Grouping duration by entry hour shows whether long trades are a sign of a stalled idea, or simply a feature of the quieter part of the session where everything moves slower.

A time stop can come out of this data. If almost no winners last past a certain number of minutes, and trades that run past that point mostly lose, then closing at that time limit is a reasonable rule. It doesn't need to be exact. Even a rough rule, like reviewing any trade still open after twice the typical winner duration, can catch the trades that are drifting toward a loss without anything obviously wrong on the chart. The data tells you where to set it, rather than guessing at a number that sounds sensible. Many platforms can show the open duration of a position live, which makes a time stop easy to follow.

Duration can be compared across sessions too. A trade in the London open might reach its target in five minutes. The same setup in the quiet late New York hours might take thirty minutes or not get there at all. If the typical duration by session is very different, the strategy may need different targets or different expectations in each session. Some traders find that the quiet session trades with long durations simply don't justify the screen time, because they tie up attention for a long time for small results. Recording the session in its own column makes this comparison quick to do with a filter.

Watching a trade for a long time has its own cost beyond the result. Each extra minute in a trade is a minute of focus not spent on other pairs or on resting. A strategy with an average duration of forty minutes keeps you more tied to the screen than one with an average of eight. That matters for anyone trading around a day job or with limited time. Comparing time spent with results gives a rough idea of what each strategy demands of your day, which is a fair thing to consider when choosing between methods. It's a practical question for anyone with limited hours, as much as a trading one.

Exporting the trade history to a spreadsheet and adding a duration column is the fastest way to start. The formula is just the exit time minus the entry time, converted to minutes. A pivot table or simple chart then shows results by duration bucket. It takes about fifteen minutes to set up once, and afterwards it's just a matter of pasting in new history each week. Many journal tools already calculate it automatically and it's just a case of turning the column on in the settings. Weekly averages of duration can also show if you're drifting toward longer holds over time.

The FOMC minutes arrive three weeks after each meeting. They're a record of the discussion, rather than a new decision, so they often get ignored.

But the minutes are released at 2pm New York, a time when liquidity is moderate and many traders have started to relax. The market's reaction can be sharp, because the text contains details about the debate: how many members favored a move, what concerns were raised, how the balance sheet was discussed.

Algorithms scan the text for keywords. A change in phrasing from the previous statement can drive an immediate move. The first reaction comes within a second, followed by adjustments as human readers digest the content.

The same applies to similar documents from other banks: ECB accounts, BoE minutes, and the RBA minutes. All carry hidden volatility because they're less watched.

Adding these releases to the calendar as events to avoid costs nothing.

How big was the move the last time the minutes caught a position off guard?

Time in trade is a very practical column. It can also act as a live rule rather than just a review metric. If the journal shows that winners usually resolve within a certain time, a trade that runs much longer without progress can be closed on time alone. That kind of time stop often reduces losses on trades that drift sideways and then fail. Recording the time also makes it possible to check whether trades closed early for time reasons would have recovered or not.