How to Analyze Trades and Find Repeating Trading Mistakes

Trade review is not about explaining every loss. It is about testing repeated decisions across a series: which setups perform differently, where execution deviates from the plan, and which patterns actually move the result.

In short: group comparable trades first, compare process and metrics inside each group, then decide what should change.

Start with a consistent trade record

For each trade keep the instrument, side, timestamp, entry, exit, position size, fees and final PnL. If setup analysis matters, add a setup label and a short entry reason.

The trading journal template shows a practical record structure.

Compare similar trades

By setup

Compare trades opened for the same reason instead of treating the full journal as one sample.

By time

Check whether performance changes by session, weekday or review period.

By instrument

Different markets can have different volatility, fees and execution quality.

By plan compliance

Separate rule-based trades from decisions changed impulsively after entry.

Use metrics together

Net PnL shows the outcome, win rate shows the share of winning trades, and profit factor compares gross profit with gross loss. No single metric describes trading quality on its own.

See PnL, win rate and profit factor for definitions, or open trade analytics to review your own statistics.

Look for repeating mistakes

A mistake becomes a useful hypothesis when it repeats: early exits, increasing risk after a loss, entries without the planned condition, or breaking a predefined stop. One trade can be noise; a repeated pattern deserves testing.

Important: avoid rewriting your rules after every losing trade. Review a meaningful series of comparable observations first.

A simple weekly review loop

Select the review period and check total PnL.
Use the trading calendar to see distribution by day.
Group trades by setup or another relevant characteristic.
Open the groups with unusual results and review the underlying executions.
Choose one change to test during the next period.

Conclusion

Trade analysis moves from aggregate performance to repeated decisions. Start with the period result, find where the deviation comes from, inspect the underlying trades, and only then adjust the process.

MultiLaunchess Journal connects trade history, statistics and daily performance in one review workflow.