Overtrading shows up in almost half of the 500,000+ trading accounts we analysed, and it costs affected traders an average of $7,248. Here is what the data says about who overtrades, why it happens, and how to stop it.

Confidence and desperation lead to the same place: bigger position sizes. A 10% risk per trade turns a severe drawdown into a near certainty. TradeMedic™ shows how quietly overexposure builds, and what a sustainable risk ceiling looks like.

After three losses in a row, the next trade feels urgent, as if one win could erase the sting. TradeMedic™ analysis of 500,000+ accounts shows how rising risk after losses quietly turns recovery into escalation.

Going all-in rarely feels like a decision. It feels like relief after a painful run of losses. But concentrated exposure turns a single market move into account survival or ruin. Data across 500,000+ accounts shows how to catch it before liquidation does.

Big open profits make traders reckless. Deep losses make them rash. The same money triggers opposite mistakes, and most traders never spot the link. TradeMedic's analysis of 500,000+ accounts shows how open P&L bends your next decision.

Adding to a losing trade feels like a smart adjustment. Across 500,000+ trading accounts, it is the costliest habit of all: it causes a third of affected traders' losses, and only 7.2% of traders who do it are profitable.

Catching a falling knife means buying into a sharp decline before it ends. Across 500,000+ trading accounts, 46.0% of traders do it and only 10.2% of them are profitable. The meaning, the pattern, the psychology and what works instead.

Most traders worry about entering too late. The data from 500,000 accounts shows the opposite is more common: entering before the setup confirms. It is widespread, it is missed upside rather than a loss, and it shows up most in active, profitable traders.

Locking in a small profit feels safe. But TradeMedic's analysis shows traders who close winning positions early consistently underperform those who don't. Here's what the pattern looks like in the data, and how to stop it from eroding your edge.