What Your Average Trade Duration Actually Reveals About Your Strategy

Most journals record when a trade opened and when it closed, and most traders never look at the gap between the two. It is treated as a side effect of the trade rather than a number worth studying on its own — which is a mistake, because average holding time exposes things that win rate and P&L cannot.

Duration tells you what strategy you are actually running

A trader who describes themselves as a scalper but whose average trade lasts four hours is not a scalper. A trader who calls themselves a swing trader but closes most positions within twenty minutes is not swing trading. This is not a labeling problem — it is a sign that entries and exits are being decided by something other than the plan being described. The stated strategy sets an expected holding period; the actual duration either confirms it or contradicts it, and the contradiction is the more useful of the two outcomes to notice.

Split it by outcome, not just by average

A single average duration hides the number that matters more: average duration on winners versus average duration on losers. It is extremely common to find that losing trades are held two or three times longer than winning ones — not because the setups were different, but because a loss in progress gets given “a bit more room” while a winner gets taken quickly out of fear of giving it back. Both instincts are understandable. Both also mean the trader is running a worse reward-to-risk ratio than their stop and target would suggest on paper, because the actual exit behavior does not match either one.

Watch for duration creep

Average duration on a given setup should be fairly stable over time if the setup itself has not changed. When it starts drifting longer — this month's average is noticeably higher than last month's, on the same strategy — it is usually one of three things: a market that has gotten choppier and is taking longer to reach the same targets, a subtle shift toward hoping instead of managing (holding through a level that used to trigger an exit), or a stop being moved further away than the plan called for. Only the first of these is about the market. The other two are process drift, and duration is often the first metric to show it, well before it shows up in the win rate.

Duration by session and symbol

The same setup can behave very differently depending on when it is taken. A breakout traded during a low-liquidity session may need to be held far longer to reach the same target than the identical setup traded during an overlap window, simply because price is moving slower. If duration is not broken out by session or instrument, a strategy that is genuinely session-dependent looks like an inconsistent one — the entries look identical in the log, but the time each one needed to work was never comparable in the first place.

What to actually track

• Median duration by outcome — winners vs. losers, on the same strategy. A large gap is a signal, not a coincidence.
• Duration trend over time — whether the average is stable, or quietly lengthening month over month on an unchanged setup.
• Duration by session and symbol— so a slower market isn't mistaken for a broken strategy, or vice versa.
• Duration vs. planned holding period — what the setup was supposed to take against what it actually took, trade by trade.

None of these require a new data source — every trade already has an open time and a close time. What is usually missing is the habit of putting them next to the outcome instead of letting them sit as two timestamps nobody compares. getALPHA's journal computes duration on every synced trade automatically, split by outcome and by symbol, so the pattern is visible without building the comparison by hand.