MFE / MAE (Maximum Favorable / Adverse Excursion)
MFE (Maximum Favorable Excursion) is the largest unrealized profit a trade reached before closing; MAE (Maximum Adverse Excursion) is the largest unrealized loss. Together they measure trade quality independent of final outcome.
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Explained Simply
MFE and MAE were popularized by trading researcher John Sweeney in his 1996 book Campaign Trading. They answer a critical question: how far did a trade go in your favor before it closed — and how far against you did it go before recovering?
MFE example: You buy a stock at $100, it runs to $115 (MFE = $15 / 15%), then pulls back and closes at $110. Your realized profit is 10%, but the maximum profit available was 15%.
MAE example: Same trade — after entry at $100 the stock dips to $94 (MAE = -$6 / -6%) before recovering to close at $110. You experienced a 6% paper loss on the way to a 10% winner.
Why MFE/MAE matter:
| Metric | What it tells you |
|---|---|
| High MFE, low realized profit | Exits are too early — you're leaving money on the table |
| Low MFE, loss | Setup quality is poor — the trade never worked |
| High MAE, ultimately profitable | Stops may be too tight — getting shaken out of good trades |
| Low MAE, profitable | Clean entries — the trade worked from the start |
MAE as a stop-loss calibrator: Plot MAE for all winning trades. If 90% of your winners had a MAE of less than 2%, but your stops are set at 4%, you're giving away 2% of unnecessary risk. Tighten the stop.
MFE as a target calibrator: Plot MFE for all trades. If typical MFE is 8% but your target is 3%, you're exiting far too early. Extend targets or use trailing stops to capture more.
Efficiency ratio = Realized P&L ÷ MFE. A ratio of 1.0 means you perfectly captured every dollar of profit; 0.5 means you captured half. Tracking this over time reveals whether your exit strategy is improving.
How to Use MFE/MAE Scatter Plots
The most powerful application of MFE/MAE is scatter-plot analysis across a large sample of trades:
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MAE scatter plot: Plot each trade's MAE (x-axis) vs. final P&L (y-axis). A vertical cutoff line at your current stop level should show most winning trades clustering to the left (low MAE). If many winners have MAE greater than your stop, your stop is too tight.
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MFE scatter plot: Plot each trade's MFE (x-axis) vs. final P&L (y-axis). The gap between MFE and realized P&L reveals exit efficiency. Wide gaps indicate premature exits.
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Strategy segmentation: Run separate scatter plots by setup type (breakout, pullback, earnings, etc.). Different setups have dramatically different MFE/MAE profiles — a gap-and-go trade should have low MAE (it should work immediately); a mean-reversion trade may tolerate higher MAE before recovering.
Most professional backtesting platforms (including Tradewink's internal analytics) produce these plots automatically after a sufficient sample size is accumulated.
How to Use MFE / MAE (Maximum Favorable / Adverse Excursion)
- 1
Plot MFE vs MAE for All Trades
Create a scatter plot with MAE on the X-axis and MFE on the Y-axis. Winners cluster in the top-left (low MAE, high MFE). Losers cluster in the bottom-right (high MAE, low MFE). The boundary between these clusters reveals your optimal stop-loss placement.
- 2
Find the Optimal Stop Level
Draw a vertical line on the MAE axis where most winners are to the left and most losers are to the right. This MAE value is your statistically optimal stop-loss. Set your stop at this level — it minimizes the number of eventual winners you stop out while maximizing losers you cut early.
- 3
Find the Optimal Target Level
Draw a horizontal line on the MFE axis where most winners reach. This MFE value is your optimal take-profit level. Setting targets above this wastes potential (few trades reach there); below it leaves money on the table. Use MFE distribution percentiles (50th, 75th, 90th) for multi-level targets.
Frequently Asked Questions
What is a good MFE/MAE ratio?
There is no universal target — it depends on your strategy. As a general benchmark, look for MFE at least 2x your MAE on winning trades. This means the trade moved twice as far in your favor (at its peak) as it moved against you. If MAE consistently exceeds MFE on profitable trades, your setup quality or entry timing likely needs improvement.
How is MAE different from maximum drawdown?
MAE is trade-level — it measures the worst point of a single open position before it closes. Maximum drawdown is portfolio-level — it measures the largest peak-to-trough decline in total account equity over a period. MAE tells you how rough the ride was on a specific trade; max drawdown tells you how rough the ride was for your whole account.
Can MFE/MAE improve my win rate?
Not directly — but it can improve your profitability. MFE/MAE analysis often reveals that stop-loss levels are calibrated incorrectly: traders are getting stopped out of trades that would have recovered (high MAE on stopped-out trades that later reversed). Widening stops (while reducing position size to keep dollar risk constant) can reduce premature exits and improve actual profitability.
How Tradewink Uses MFE / MAE (Maximum Favorable / Adverse Excursion)
Tradewink tracks MFE and MAE for every trade in real time, updating tick-by-tick as positions move. After a trade closes, the TradeAnalyzer calculates efficiency ratio, MAE-to-stop ratio, and MFE-to-target ratio. These metrics feed into the LearningEngine, which adjusts future stop-loss widths and profit targets by strategy type. If a momentum strategy consistently shows high MAE but high eventual profit, the system widens stops for that pattern. The trade reflection AI uses MFE/MAE data in its post-trade analysis to generate concrete lessons — for example: 'Entry quality was poor (MAE 8% on a 6% stop) — wait for confirmation before entry next time.'
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See MFE / MAE (Maximum Favorable / Adverse Excursion) in real trade signals
Tradewink uses mfe / mae (maximum favorable / adverse excursion) as part of its AI signal pipeline. Get daily trade ideas with full analysis — free to start.