Two underused metrics reveal the journey of a trade, not just its outcome. Maximum Adverse Excursion (MAE) is the worst point a trade reached — how far it moved against you before closing. Maximum Favorable Excursion (MFE) is the best point — how far it moved in your favor. Together they map the path, not just the destination.
What MAE tells you
Analyzing MAE across many trades shows whether your stops are well-placed. If your winners rarely go far against you before working, your stops may be too wide (you're risking more than necessary). If they often dip deep before recovering, a tight stop may be shaking you out of good trades. MAE data lets you set stops based on how trades actually behave, not guesswork.
What MFE tells you
MFE shows whether you're leaving money on the table. If trades routinely run far past where you take profit before you exit, your targets may be too conservative. If they rarely reach your target before reversing, your targets may be too greedy. MFE calibrates exits to reality — the difference between a target you hope for and one the data supports.
P&L is the scoreboard. MAE and MFE are the game film — they show you where your stops and targets are actually wrong.
Why it matters
MAE and MFE turn trade management from intuition into evidence. They're how a systematic process refines stop and target placement based on how trades genuinely move, rather than round numbers or feel. Combined with R-multiples and expected value, they're part of the quantitative feedback loop that separates a system that improves from one that just repeats its mistakes.