Overtrading means taking more activity or risk than your strategy and resources justify. A high trade count alone does not prove it. Compare the opportunities you had, the rules you followed and whether your behaviour changed after recent results.
Review winning periods as well as losing ones. Confidence after a gain can affect decisions just as frustration after a loss can.
What research can and cannot tell you
Ben-David, Birru and Prokopenya's research on retail forex traders found behaviour consistent with traders attributing success to skill and increasing risk-taking after gains, despite past performance not predicting future success in their sample.
That is evidence about a particular trading population and study design. It is not a diagnosis of your behaviour, and its numerical effects should not be transferred directly to an ASX swing trader.
The practical question is whether your own size, entry count or rule adherence changes after results.
Compare the next period, not only the same period
If you want to know whether a loss leads to extra trades, preserve the sequence. Comparing a losing week's trade count with a winning week's count can mix cause and effect.
A useful review table has:
| Previous period | Next period's new entries | Planned risk added | Rule departures |
|---|---|---|---|
| Gain | Record your count | Record your amount | Record your count |
| Loss | Record your count | Record your amount | Record your count |
| Near flat | Record your count | Record your amount | Record your count |
Use a period that suits the strategy. A swing trader may compare weeks, while an intraday trader may need session-level sequencing.
Build a five-step check
1. Define what counts as an entry
Decide whether you count new positions, additions or executions. Keep partial exits separate. Otherwise a change in order handling can look like a change in behaviour.
2. Label prior outcomes consistently
Use comparable returns or R measures where appropriate, rather than dollar gains that mostly reflect changing account size. Keep the cutoffs fixed before looking for a pattern.
3. Count opportunities as well as trades
A higher count may reflect more valid setups, extra time available or a different market. Record how many qualifying opportunities you saw and which ones you took.
4. Inspect the sequence and notes
Look for entries made after an unexpected loss or gain, then inspect the setup and risk. Timing suggests a possible mechanism; it does not prove emotion caused the trade.
5. Review size and costs
A stable entry count can hide larger positions. A larger count can increase total costs even when each individual trade looks reasonable.
Use portfolio heat to review planned open risk, while remembering that correlated moves and gaps can make losses worse than the stop-based estimate.
Three explanations for a higher count
More opportunities: the market produced more valid signals and you followed the same rules.
A process change: you had more screen time, changed a filter or adopted a different entry method.
Reaction to results: you entered weaker setups or increased size to recover a loss or repeat a win.
Several can coexist. Compare the trade records before choosing a label such as revenge trading.
Set a control you can evaluate
Possible controls include a defined review after a large result, a limit on new planned risk, or a pause after a specified rule breach. Choose the control to address the behaviour you observed.
A rigid daily trade cap can block valid opportunities as well as impulsive trades. Test the trade-off rather than borrowing a number from another trader.
Write the trigger and action before the next session, and record whether you followed it. The rule-adherence guide helps measure that process.
What to keep in the journal
Record entry time, setup, original risk, recent outcome context and any rule departure. Use Swingfolio's trade records and review notes to compare the same portfolio and date range.
If no clear pattern appears, keep that result too. A review that rules out one explanation is useful. The losing-streak guide covers the wider response when recent losses are affecting decisions.
How many trades per day is too many?
There is no universal count. Compare activity with valid opportunities, available attention, costs and risk limits.
Can winning lead to overtrading?
It can. Research supports reviewing behaviour after gains, but your own records are needed to determine whether it happens in your account.
General information only. Not financial advice.