MAE and MFE: Advanced Analytics for Entry and Exit Optimization

What MAE and MFE Measure

Maximum Adverse Excursion (MAE): How far against you did a trade move at its worst point before you exited?

Maximum Favorable Excursion (MFE): How far in your favor did a trade move at its best point before you exited?

These two metrics, tracked over many trades, reveal specific, data-driven insights about your entry quality and exit efficiency that no other metrics can provide.

MAE: Diagnosing Your Stops

If you track MAE for your winning trades, you'll find one of two patterns:

Pattern A: Low MAE on winning trades

Most winners never went significantly against you before moving in your favor. This indicates good entries — you're getting in at the right level.

Pattern B: High MAE on winning trades

Winners regularly went against you significantly before recovering. This indicates either: (1) entries are too early (before confirmation), or (2) stops are too tight relative to volatility.

For losing trades, MAE tells you if you're being stopped out by normal noise or by genuine adverse moves:

• Losses where MAE = exactly your stop: Hits and runs — your stop is at the right level
• Losses where MAE > stop: You moved or you were using mental stops; actual loss exceeded planned risk
• Losses where MAE < stop but trade later went against you: You exited early before the stop

MFE: Diagnosing Your Exits

MFE on your winning trades reveals whether you're leaving significant money on the table.

MFE:Actual Win Ratio:

• If your average MFE is 2.5R and your average actual win is 1.3R, you're exiting at 52% of the potential.
• This means you're consistently taking trades that move to your target level — but exiting before they get there.

What to do: Compare your MFE distribution to your target placement. If trades regularly reach 2× your target in terms of MFE, consider extending targets or using a trailing stop.

Caution: MFE includes hindsight. A trade that moved 3R favorably before reversing to stop was exiting at the right time if your target was 1.5R and you weren't certain of continuation. Don't chase MFE at the expense of reliability.

The MAE/MFE Chart

If you plot all your trades with MAE on the x-axis and trade outcome (win/loss) on the y-axis, you get a distribution showing:

• The maximum adverse excursion of your winning trades: If most winners never went more than 0.5R against you, setting your stop at 1R gives adequate room without excessive risk.
• The stop level that would have stopped out the fewest winners: Adjust your stop placement to just beyond where winners typically reach.

This is a direct, data-driven optimization of stop placement — not a theoretical adjustment.

Tracking MAE and MFE in Practice

Capture MAE and MFE by:

1. 1Note the most adverse price reached before exit for each trade
2. 2Note the most favorable price reached before exit
3. 3Convert to R-multiples: (MAE in points) ÷ (stop distance in points)

After 50+ trades per setup, calculate:

• Average MAE for winners (R-multiple)
• Average MFE for winners (R-multiple)
• Average MAE for losers (R-multiple) — should be close to −1.0 if stops are followed

These averages tell you exactly where to set stops and targets for maximum efficiency.

In Tradapt: The analytics section calculates average MAE and MFE across your trades. Review these quarterly to optimize your stop and target placement based on actual data rather than theory.