Common forex trading mistakes and how your journal exposes them

Most mistakes repeat. A journal turns "I keep doing this" into a count. Here are ten common ones and where each shows up.

Ten mistakes and how a journal shows each one

Mistake	How it shows in your records
1. No written plan	Trades with no named setup
2. Risking too much per trade	Lot sizes and loss sizes far above your plan
3. Moving stops further away	Planned stop versus actual loss
4. Cutting winners early	Actual profit well short of planned target; see cutting winners early
5. Revenge trading	Short gaps and bigger size after losses; see revenge trading
6. Overtrading	Trade counts above your cap; see overtrading
7. Ignoring costs	Gross profit fine, net result poor
8. Trading during news without a plan	Losses clustered around event times
9. Judging a strategy on too few trades	Statistics based on a small sample
10. Not reviewing at all	A journal that is never read

Fixing them in order

Plan and risk first. Mistakes 1 and 2 cause the biggest damage and are the easiest to fix with a written plan; see the Notion trading plan template.
Then stops and exits. Mistakes 3 and 4 are about sticking to what you set at entry.
Then behaviour. Mistakes 5 and 6 are emotional. Use limits and pauses, and the trading psychology journal.
Then measurement. Mistakes 7 to 10 are about reading your numbers properly; see trading performance analysis.

A simple method

Record every trade with a plan-followed answer.
Each week, list the three costliest trades.
Name the mistake behind each one, from the list above.
Pick the most frequent mistake and write one rule against it.
Check next week whether the count dropped.

This works because mistakes are repetitive. A journal turns "I keep doing this" into a count you can see fall.

Prefer not to dig through the History tab? AI Trading Journal reads your closed trades from your own MT5 terminal and saves one entry in your own journal on your PC (and one Notion row, if you connect Notion) per closed position about every 5 minutes, with open and close time, size, prices, stop, target and profit. It is read-only, needs no broker login, and is Windows-only, with a 7-day free trial and a one-time $19.99.

This page is general education. It is not trading or investment advice.

Each mistake in more detail

The table above is the quick version. Here is what each one looks like in real records and one small rule to try against it. These are examples of rules, not advice about what you should trade.

1. No written plan

In the data: many trades with no setup name, and results that vary wildly between similar-looking trades. Rule to try: do not enter unless you can name the setup from a list of two or three that you have written down.

2. Risking too much per trade

In the data: the largest loss is several times the average loss, and lot sizes jump after wins. Rule to try: set a fixed maximum risk per trade in percent, work the lot size from the stop distance, and log the planned risk beside the result. The position size calculator does the arithmetic.

3. Moving stops further away

In the data: the loss is larger than the planned stop distance on stopped-out trades. Rule to try: a stop may only move in the direction that reduces risk. If it is moved away, record why.

4. Cutting winners early

In the data: average winner far below the planned reward. Rule to try: compare each exit with the planned target and tag early exits. See cutting winners early.

5. Revenge trading

In the data: a trade opened within minutes of a loss, often larger. Rule to try: a fixed pause after any loss over a set size. See revenge trading.

6. Overtrading

In the data: days with many more trades than your plan allows, and a falling average result per trade. Rule to try: a daily trade cap. See overtrading and your journal.

7. Ignoring costs

In the data: gross profit looks fine and net profit does not. Rule to try: always work from net results with commission and swap, and add spread to the stop distance in your risk calculation.

8. Trading news without a plan

In the data: losses clustered at the times of scheduled releases, with slippage. Rule to try: tag any trade open at a scheduled release and compare the result with the rest.

9. Judging a strategy on too few trades

In the data: conclusions drawn from 10 or 20 trades. Rule to try: do not change the strategy until you have at least 50 trades of the same setup. The expectancy calculator explains why small samples mislead.

10. Not reviewing at all

In the data: a log that is complete and never read. Rule to try: a fixed weekly slot and three questions: what worked, what cost me most, and what one rule changes next week. The weekly review checklist is a template.

Keep it to one change at a time

Trying to fix all ten at once usually fixes none. Pick the single most frequent mistake in your last month of trades, write one rule, and measure whether it happens less often next month. When it does, move on to the next one. Progress in trading is often this unglamorous.

Frequently asked questions

What are the most common forex trading mistakes?

No written plan, risking too much, moving stops, cutting winners early, revenge trading, overtrading, ignoring costs, trading news blindly, judging on small samples and never reviewing.

How do I stop making the same trading mistakes?

Record every trade, name the mistake behind your costliest ones each week, write one rule against the most frequent, and check whether the count falls.

Can a journal really fix my mistakes?

A journal does not fix them, but it makes them visible and countable, which is what lets you change them.

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