Holdy Labs

Why Do I Overtrade?

Find out when and why your trading activity changes, from your own trade history.

Check My Trading Frequency

Overtrading rarely feels like overtrading while it is happening. Each extra trade seems reasonable on its own: a setup looked good, the market moved, you wanted to make back what you just lost. It is only when you look at a month of trades together that the pile-up becomes visible.

Most overtrading has a trigger. For some people it is a loss, and the next trade comes faster and bigger than usual. For others it is a winning streak, and confidence turns into more trades than the plan allowed. For others it is boredom, a particular time of day, or a market that is moving and feels like it demands action.

Fees and spreads make each extra trade a little more expensive, but the larger cost is usually the quality of the trades. Decisions taken quickly, after a loss or in the middle of a move, are less likely to follow the rules you set when you were calm.

To fix overtrading you need to know your trigger, and your trade history contains it. The analyzer below measures how quickly you re-enter after losses compared with after wins, whether your position size changes, and how your results vary across the day. If something stands out, it shows you the numbers.

Drop your trade history CSV here

Closed positions or P&L history from your exchange. Up to 5 MB.

Your file is read in memory and is never saved — only the result of the analysis is kept (7 days, or until you delete it if you save it to your account). Don't include passwords or API keys. See the Privacy Policy.

Example — not your data

Example result

Median wait before the next trade

This account re-enters 74% faster after a loss

19 min after a loss · 74 min after a win

Typical position after a loss

Compared with the position after a win

+34%

Trades per active day

Across 21 active days

9.4

Illustrative numbers for a made-up account, shown so you know what a result looks like. They are not your data and not a benchmark.

What the analyzer looks at

Re-entry speed

The wait between closing a trade and opening the next one, after losses compared with after wins.

Position size after a loss

Whether the trade that follows a loss is larger than the one that follows a win. See why traders size up after a loss.

Results after losing streaks

Whether your trades get worse after several losses in a row.

Time of day

Whether your results differ between Asian, European and US hours, which can point to when you trade out of habit rather than plan.

Frequently asked questions

How many trades a day is overtrading?

There is no number that fits everyone, because it depends on your strategy and timeframe. A better test is whether your trade count rises after losses, after wins or at certain hours without a rule saying it should. The analyzer shows how your own behavior changes.

Does overtrading always lose money?

Not always, but extra trades add fees and are often taken in a hurry, which is why they deserve a look. Your results by time of day and after losses are part of the analysis, and you can compare them with your average trade.

What is the difference between overtrading and revenge trading?

Revenge trading is a specific trigger: trading quickly or heavily to win back a loss. Overtrading is the broader result, too many trades for your plan, and revenge trading is one possible cause. The revenge trading analyzer focuses on the loss-triggered case.

Which file should I upload?

A CSV where each row is one finished trade with its result: your exchange's closed positions or profit-and-loss history. It needs a close time and a result, or entry price, exit price, quantity and side. A list of individual order fills is not enough, because fills cannot be paired into trades without guessing.

Is my trade history stored?

The file is read in memory and is not saved. Only the result of the analysis is kept: for 7 days if you do not sign in, or until you delete it if you save it to your account. The analyzer never asks for exchange passwords or API keys.

Keep going

Holdy Lab content is educational and is not financial advice. Results describe the data you provide; they do not predict future results.