Overtrading: Why Trading More Usually Means Making Less

On Saturday morning, Sam replayed Friday. He pulled up his scanner's alert history and his 5-minute charts and marked every moment between 9:45 and 11:30 when something made him want to click.

There were 23. He'd taken two of them, the chase and the revenge trade (Lesson 68: Revenge Trading), and those two had cost $84.

Then a more uncomfortable question. What if he'd taken all 23?

In this lesson you'll learn what overtrading is, why sitting still feels so hard, what research and a simulation say it costs, how to grade an alert before you trade it and seven guardrails that keep your trade count honest. It builds on the costs from Lesson 49: The Cost of Every Trade.

Overtrading is taking trades that don't meet your plan's criteria, or more trades than your plan allows, so that the number of trades is driven by how you feel rather than by how many good setups appear.

Think of snacking. No single biscuit ruins your diet. Twenty of them, eaten because you were bored, nervous or just near the kitchen, do. Overtrading works the same way: no single trade looks like the problem, but the total does the damage.

Overtrading has no fixed count. Five trades on a day with five valid setups is fine. One trade on a day with none is overtrading.

Sitting still feels hard because most people would rather be doing something than nothing, and a scanner alert is a ready-made excuse.

Psychologists tested this in an unusual way. In 11 experiments, Wilson and colleagues asked people to sit alone with their thoughts for 6 to 15 minutes. Most didn't enjoy it, and many chose to give themselves a mild electric shock rather than keep sitting. In one study, 12 of 18 men and 6 of 24 women who had said they'd pay to avoid being shocked again chose to shock themselves (Wilson and colleagues, 2014).

A second study adds a twist. Hsee, Yang and Wang (2010) had volunteers wait 15 minutes after finishing a survey. Those who chose to walk to a farther drop-off point, and so stayed busy, reported being happier than those who stayed idle. When both drop-off points offered the same candy, most people stayed put. When the candies differed, more people chose to walk, as though they needed a reason to be busy.

Put those together and you have a trading desk. A quiet tape is 15 minutes alone with your thoughts. A scanner alert is the different candy. Neither study was about trading, and neither says you'll overtrade. They do explain why "I should be doing something" feels so reasonable at 11:15 on a slow morning.

What does that urge cost once it reaches the order ticket?

Trading more usually means making less because every trade carries costs, extra trades tend to be lower-quality ones, and research on individual investors consistently links higher trading activity with lower returns.

For a day trader, costs are the most visible part. At Sam's half size, his costs average about $1.70 a trade, roughly 6% of his $27 risk. One trade, that's noise. Twenty-three, it's a full stop-out and a half before anything else happens.

The picture uses a bigger size than Sam's to make the point visible. The principle holds at any size: a trade has to earn more than it costs before it earns anything.

The common types of overtrading are boredom trades, revenge trades, overconfidence trades after wins, FOMOFOMOFOMO — Fear of Missing Out — is the emotional pressure that drives traders to chase moves they've already missed, entering at suboptimal prices because watching a stock run without them feels worse than taking a bad trade.Read definition → trades and "staying busy" trades during slow markets.

You'll probably have a favorite or two. Sam's log points to FOMO and revenge, which Lesson 67 and Lesson 68 took apart.

The overconfidence row has research behind it. Barber and Odean (2002) followed 1,607 investors who moved from phone-based to online trading. Before going online they beat the market by more than 2% a year. Afterward they traded more often and more speculatively, and lagged the market by more than 3% a year. The authors attribute the change to overconfidence, including illusions of knowledge and control, and found that lower costs and faster execution didn't explain it.

In a DayTradingToolkit simulation of 10,000 hypothetical traders over 20-day months, adding 20 unplanned trades a morning to three planned ones turned an average gain into an average loss and made most months negative.

The simulation compared two mornings:

Both pay costs of 0.063R per trade, in line with Lesson 49.

DayTradingToolkit simulation, fixed seed, 10,000 hypothetical traders × 20 mornings. The selective edge is an assumption, not a measured result; the point is the difference the extra trades make.

The extra 20 trades didn't need to be terrible. They only needed to have no edge. Their costs alone turned a small edge into a loss.

That gives you a bar for every trade. A trade is worth taking only if what you expect it to earn beats what it costs, and for Sam that bar is about 0.063R, or $1.70, every single time.