Watching your trades-per-session number over the months

[Fairman]

Watching your trades-per-session number over the months

One number I track that doesn't get talked about much is the average number of trades per session, month by month. It's simple to calculate and says a fair bit about how you're trading.

If the number creeps up over time without a change in strategy, it often means you're getting less selective. Setups that wouldn't have qualified a few months ago are being taken. That can happen gradually without you noticing, until results start slipping.

If the number drops a lot, it might mean you're hesitating more, maybe after a drawdown. Or the market has changed and fewer setups are appearing. The journal notes for that month usually tell you which.

A stable number usually means your selection is consistent, which is good.

It's also useful to compare with your backtest. If the backtest shows a certain number of setups per session and you're taking twice that, you're trading something different from what you tested. If you're taking half, you're missing setups or being stricter than the rules.

I look at this monthly alongside win rate and average R. When results change, checking whether trade frequency changed at the same time often points to the cause quickly.

It takes about a minute with a pivot table.

[Fairman]

Splitting by session helps if you trade more than one. Your London count might be stable while your New York count creeps up, which suggests the problem is specific to that session, maybe tiredness late in the day. Looking at the total alone would hide that. With a pivot table, adding the session as a column takes seconds and makes the picture clearer straight away. It's often the late session that drifts first. Splitting by session takes seconds once the data is in a pivot table. Patterns by session are often clearer than the total.

[Fairman]

It's also interesting to compare trades per session on winning days and losing days. Some traders take noticeably more trades on losing days, which suggests chasing. Others take more on winning days, which might be overconfidence. Neither is necessarily bad, but if the extra trades on those days have worse results than normal, that's a clear thing to fix. A daily trade cap is a simple way to address both patterns. A cap also makes the journal easier to read, since one runaway day can't distort the whole month. Pick a number and review it monthly.

[FXS HongKong Scalper]

One extra split that has helped: trades per session counted separately for the first hour and the rest. A lot of overtrading hides in the late part of a session, after the clean moves are done and price drifts. On the Tokyo session that pattern is strong, because once the morning fixing flow is finished, USDJPY and the crosses often go flat until Europe arrives. If the monthly count is creeping up and most of the extra trades sit in that slow stretch, the fix might be a time cutoff rather than a lower daily cap.

[Shadow Trader]

Staring at a live tick chart for hours does something to judgement that doesn't show up in the trade log. Every flicker of price becomes a signal, and the brain starts to see patterns in what is mostly noise.

Researchers on gambling behaviour have long noted that variable, frequent feedback keeps people engaged far longer than slow feedback does. A scalper watching ticks gets hundreds of small outcomes an hour, and each one pulls attention a little harder. Slot machines work on the same principle.

The result is a growing urge to act. Nothing in the setup changed, but the sense that something is about to happen keeps building. Trades start to get taken because waiting feels uncomfortable, not because the criteria were met. By the second hour, the bar for an entry has quietly dropped, and nobody noticed it dropping.

One practical trick is switching off the tick display and letting only completed bars update, even on a fast timeframe. The urge to act drops quickly, and the quality of entries often goes up. Another is setting a timer and stepping away from the screen for two or three minutes every half hour, long enough for the pull to fade.

There's also a measurement angle. Counting the number of trades per hour across a session and plotting it often shows a steady climb that has nothing to do with market conditions. If the line rises while volatility falls, the screen is doing the trading and not the plan.

A written checklist helps as well. A trade that can't be justified by a specific item on the list shouldn't be taken, however good the feeling is.

None of this is about willpower. It's about arranging the environment so the weak points get less exposure.

Has anyone noticed their trade count climbing as the session goes on, even when the market didn't change?

[Fairman]

A sudden jump in trades per session is often an early warning. If your usual number is four or five and one week it's nine, something has changed, either in the market or in you. It might be a busy market with lots of setups, or it might be overtrading after a loss. Looking at the trades from that week usually shows which one it is. A simple chart of trades per session over time makes those jumps easy to spot, even before the results reflect them. A weekly count in the journal is all it takes to keep this in view.

[Fairman]

Is there a minimum number that matters too? Some traders find that very low trade counts, like zero or one per session, happen when they're being too cautious after a drawdown. That can mean missing valid setups and slowing recovery. Tracking the low end as well as the high end shows whether your behaviour is changing in either direction. Both can be a sign that something other than the strategy is driving decisions. A simple range, like three to six trades per session, gives a band to compare against. Weeks that fall outside it in either direction are the ones to look at more closely in the weekly review.