MAE and MFE — Trade Analysis and Stop Loss / Take Profit Calibration

Mike spent two years trading EUR/USD with a rigid 20-pip stop and a 30-pip target. His win rate hovered around 55 percent, his reward-to-risk ratio sat at 1.4, the account crept upward. Once he logged MAE and MFE for two hundred consecutive trades, the picture was uncomfortable: roughly a quarter of his potential winners were clipped by a stop that sat just inside the typical drawdown of a winning trade, and his fixed target was leaving an average of twenty-two pips on the table.

What MAE and MFE are

MAE, the Maximum Adverse Excursion, is the largest temporary loss a position carried before it was closed. The term was introduced by John Sweeney in Maximum Adverse Excursion: Analyzing Price Fluctuations for Trading Management (Wiley, 1996). MFE, the Maximum Favorable Excursion, is its mirror — the greatest unrealised profit the position ever showed before exit.

Together these two numbers tell a story that the final P&L can never tell: whether your stop loss sat sensibly relative to the take profit, and whether you are operating in the meaningful part of the distribution. They are also the most underused metrics in retail trading — not because they are complicated, but because they require fifteen seconds of discipline after every closed trade.

What we measure on a single trade

Suppose, illustratively, a long EUR/USD position with entry at 1.0850, stop at 1.0820, take profit at 1.0890. The trade closes on the target for a 40-pip gain.

• Lowest price 1.0830. MAE is minus 20 pips — the position briefly consumed two thirds of the distance to the stop.
• Highest price 1.0905. MFE is plus 55 pips — at one point the position was fifteen pips higher than the realised gain at exit.
• Capture ratio. 40 of 55, or 73 percent — decent but below what many consider optimal.

A single trade proves nothing. What matters is the distribution of these two numbers across at least one hundred trades — only then can you tell whether your stop and target decisions match what the market actually offers.

Calibrating the stop loss with MAE

The most common retail mistake is to set the stop either at a round number that feels comfortable or at a fixed cash amount. Neither approach has anything to do with what the market is doing — which is precisely why both systematically lose winners to noise.

1. Collect at least one hundred trades. Anything smaller is statistical noise; five trades a week means roughly five months of data collection.
2. Filter for winning trades only. What you care about is how deep price pulled back on positions that ultimately won.
3. Calculate the average MAE in that group. If winners typically drew down twenty-five pips, a twenty-pip stop is clipping a meaningful share of them.
4. Set the new stop at 1.1 to 1.2 times the average MAE of winners. Wide enough to absorb noise, not so wide that any single loss becomes painful.
5. Recalculate the position size. A wider stop at one percent risk means a smaller position — consistent arithmetic, not a trade-off.

Calibrating the take profit with MFE

The other side of the equation matters just as much and is treated even more carelessly. Many traders close winners too early — out of fear that the profit will evaporate, or because of a rigid reward-to-risk rule disconnected from the instrument.

1. Calculate the average MFE among winners. If a typical winner showed fifty pips of unrealised profit but you exit at thirty, you return forty percent of the move to the market.
2. Compute the capture ratio. Average realised gain divided by average MFE. Typical retail figures sit between 50 and 60 percent; the professional benchmark is 70 to 80.
3. If the ratio is below 70 percent, you have three options. Push the target further (roughly 0.8 times average MFE), use an ATR-based trailing stop, or close half the position at the original target and let the rest ride with a trailing stop.
4. Forward-test the new exit on fifty trades. Compare not only the win rate but the average reward-to-risk ratio.

Mike’s two hundred trades — the before-and-after

An illustrative case built on the kind of distributions TradingView and traders.com analytics tend to surface for fixed-stop H1 systems. Mike started with a textbook setup: 20-pip stop, 30-pip target, one percent risk per trade. After two years on EUR/USD and GBP/USD H1 he had two hundred closed positions and ran every one through Edgewonk.

Mike did not change his strategy — the entry signals, the analysis, the pairs and timeframes were identical. He only changed where the stop sat and how he closed winners. The delta came from letting data, not instinct, decide those two parameters. To translate that into expected value, the expectancy formula turns win rate, average winner and average loser into one comparable number.

"The value of MAE lies in showing what your system actually needs, rather than what you are willing to risk. That is a completely different starting point." — John Sweeney, Maximum Adverse Excursion: Analyzing Price Fluctuations for Trading Management, Wiley, 1996.

Tools — how to measure MAE and MFE

• Edgewonk (one-off, around 169 USD): imports MetaTrader 4 and 5 history automatically, calculates MAE and MFE, plots the distribution, suggests calibration levels.
• MyFxBook (free): basic MAE and MFE inside the standard reports once your account is connected to MetaTrader. Plenty for someone starting out.
• TradingView Strategy Tester: built into the platform — under "List of trades" it shows adverse and favourable excursion for every position the script opens.
• Excel or Google Sheets (free): total control, but ten to fifteen hours of template work and manual logging of every trade.

What to do tomorrow — a plan for the first week

1. Pick a logging tool today and add MAE and MFE columns to your journal. If you use the professional trader journal template, both columns are already there; if you keep a journal in Excel from scratch, you can add them in five minutes so the next closed trade has somewhere to land.
2. For fifteen seconds after every closed trade, record MAE and MFE in pips. Most brokers expose these numbers in position reports or the trade history tab; you only need to glance at the lowest and highest price reached while the position was open. Without the discipline of this step the whole downstream analysis collapses.
3. After two to three months, once you have one hundred trades, calculate the mean and median MAE and MFE separately for winners and losers. Compute the capture ratio. That is the first moment the data tells you where capital is leaking — whether the stop is clipping winners or the target is leaving half the move on the table.
4. Set the new stop at 1.1 to 1.2 times the average MAE of winners and choose an exit strategy from the options above. Recalculate position size to preserve one percent risk per trade, then forward-test across the next fifty to one hundred trades and compare with the baseline; the comparison tells you the improvement is real rather than coincidental.
5. Put a quarterly review on the calendar. Every three months, repeat the analysis — markets evolve and so do MAE and MFE distributions; the quarterly check catches drift before it hits the account. For context see keeping trading statistics and the Traders’ Workshop on ForexMechanics.