Overtrading
Taking more positions than your strategy actually justifies.
Also called: too many trades · churning
Written by Javier Sánchez Ros
In plain language
Overtrading usually comes from boredom, from a need to feel productive, or from loosening criteria after a quiet stretch.
Costs scale directly with frequency. Every additional trade pays the spread and commissions regardless of outcome.
It also degrades quality. Marginal setups taken to stay busy have lower expectancy than the ones the strategy was built on.
Worked through
The same edge taken 8 times a day and 40 times a day
- Edge per A-grade setup
- +0.25R
- 8 selective trades
- +2.0R
- Diluted edge across 40
- +0.04R
- 40 trades minus costs
- negative
There were never forty good setups. There were eight, and thirty-two things that resembled them enough to justify clicking. Averaged together the edge per trade collapses, while the cost per trade — spread, commission, slippage — stays exactly the same and is now paid five times as often.
That is the whole mechanism, and it is arithmetic rather than psychology: frequency multiplies the fixed costs and divides the edge. A strategy can be genuinely profitable and still lose money purely by being traded too much.
The reason it happens is that inactivity does not feel like working. Sitting through a morning with no qualifying setup feels like failing to do the job, so standards drift downward until something qualifies — and the drift is invisible, because each individual trade can be argued for.
The fix is a number rather than a resolution: a hard cap on trades per day, or a written checklist a setup has to pass before it is eligible. Both make the thirty-two visible as what they are.
Why it matters
A positive-expectancy strategy can be turned negative purely by taking too many low-quality instances of it. Frequency multiplies costs while diluting edge.
Common mistakes
- Loosening entry criteria after a period without signals.
- Measuring productivity by number of trades rather than by adherence to the plan.
- Watching a lower timeframe than the strategy is built on.
Keep exploring
These concepts are connected. Understanding one usually makes the next one easier.
A written set of rules defining what you trade, how you size it, and when you exit.
The gap between the bid and the ask — the built-in cost of entering a trade.
The average amount you expect to win or lose per trade over a large sample.
Entering a trade because the move is already happening, not because the setup appeared.
Being unable to act because you are still looking for more confirmation.