Maximum Favorable Excursion: What Your Winners Do Before You Exit Them

A closed trade shows one exit price. It does not show how far the trade could have gone before that exit was taken. A position that peaked at +3R and was closed at +0.8R reads exactly the same in a P&L column as one that only ever reached +0.8R and was closed right at the top — same result, same win, two completely different trades underneath it.

What MFE actually is

Maximum favorable excursion (MFE)is the best unrealized gain a trade reaches while it's open, measured from entry to whichever point the price moved furthest in the position's favor before it closed. It has nothing to do with where the trade actually exited. Expressed in R so it's comparable across trades with different stop distances:

MFE (R) = best unrealized gain during the trade ÷ initial risk (entry − stop)

Compare MFE to the R the trade actually closed at and you get a single number for how much of the available move was captured — exit efficiency. A trade with an MFE of 3R that closed at 0.8R captured 27% of what was on the table. A trade with an MFE of 1R that closed at 0.9R captured 90%. Win rate treats both as a win. Only one of them is a strategy that's converting its setups into their actual value.

What a low exit-efficiency number is actually telling you

A single trade that gives back most of its peak doesn't mean anything — it's one outcome. A pattern across dozens of trades is a different story, and it usually points to one of a small number of specific habits, each with a different fix:

• Target set too close to entry.If MFE consistently runs 2–3x past where trades are closing, and it's happening on the same setup every time, the take-profit isn't wrong by accident — it's wrong by design, and the fix is in the plan, not in the exit.
• Exiting on fear, not on a rule.If MFE runs high on winners but the exit point is inconsistent — sometimes near the peak, sometimes far from it, with no pattern tied to price structure — that's a discretionary flinch, not a target. It shows up as high variance in exit efficiency across trades that otherwise look similar.
• A trailing stop that's too tight for the instrument's noise. If the giveback is small and consistent — trades peak, pull back by roughly the same amount, and get stopped out on the retracement rather than the reversal — the trail is reacting to normal volatility, not to the trade actually turning.

Why chasing 100% exit efficiency is the wrong goal

It's tempting to read a low efficiency number as a problem to fix outright, but the trade that closes exactly at its peak is the exception, not something a good exit rule should be aiming to reproduce. Nobody exits at the top consistently, and a rule built to try will overfit to the last few trades that happened to peak late. The useful comparison isn't “how close to the peak did I get,” it's whether the average exit efficiency on a setup is stable and whether it's worth the trade-off against the alternative: exiting earlier and more consistently captures less of the outlier winners but avoids giving back the ones that reverse hard, and which side of that trade-off is better depends on the setup, not on a universal rule.

MFE without MAE only tells half the story

MFE shows what the reward side of a trade was capable of. It says nothing about the risk the trade carried to get there — maximum adverse excursionis the other half, and the two need to be read together. A setup with a high MFE that also carries a deep MAE isn't a great setup with a mediocre exit, it's a volatile setup that happens to work out often enough to look good on the reward side alone. Reviewing MFE in isolation can talk you into loosening a target on a trade that was never as low-risk as the upside made it look.

Why this is hard to track by hand

Like MAE, getting MFE requires the price path during the trade, not just the entry and exit — a number a broker statement or a manually kept spreadsheet simply doesn't contain. Finding the peak unrealized gain means pulling bar data for the exact window a position was open and locating the extreme within it, trade by trade, which stops being practical somewhere around the tenth trade in a week. getALPHAcomputes MFE and MAE automatically from your MT5 history against the market data for each trade's actual open window, so exit efficiency shows up as a number next to every trade instead of a guess you make from memory.