MAE/MFE Analysis: The Data That Shows You Exactly Where You're Losing Money
You closed the trade. It was a winner. But five minutes later, the price went another 40% in your direction.
Sound familiar?
Or this one: your stop was at -5%. The trade dipped to -4.8%, you panicked and closed it manually — and watched it recover to your original target.
Both of these are exit problems. Not entry problems. And they're costing you more than you think.
MAE/MFE analysis is the only way to prove it — and fix it.
What MAE and MFE Actually Mean
MAE — Maximum Adverse Excursion. The deepest drawdown a trade reached before you closed it, whether it was a winner or a loser.
MFE — Maximum Favorable Excursion. The highest unrealized profit a trade reached before you closed it.
Together, they answer two painful questions:
- "Did my stop get hit because the trade was genuinely bad — or did I place my stop too tight?" (MAE)
- "Did I leave money on the table by exiting too early?" (MFE)
Every serious trader has gut feelings about both. MAE/MFE turns those feelings into data.
Why This Matters More Than Your Win Rate
Your win rate tells you how often you're right. MAE/MFE tells you how well you're executing when you're right.
Here's a scenario that breaks most traders' brains:
Trader A: 65% win rate, average winner: $180, average loser: $220 Monthly P&L: -$910
Trader B: 45% win rate, average winner: $420, average loser: $180 Monthly P&L: +$990
Trader B loses more often — but wins bigger and loses smaller. That discipline comes from understanding MAE/MFE.
The Two Patterns MAE/MFE Reveals
Pattern 1: Your Stops Are Too Tight (MAE)
If your losing trades consistently show a MAE that's close to — but slightly below — your stop level, you're getting stopped out by noise.
Example: You set a stop at -3%. Your losing trades show a MAE of -2.8% before closing. That 0.2% gap is the market hunting your stop and then reversing.
The fix: Widen your stop by at least the average noise for that asset. Log the MAE. Look at the cluster. Your optimal stop becomes visible.
Pattern 2: You're Exiting Winners Too Early (MFE)
If your winning trades show an MFE that's significantly higher than your actual exit, you're leaving money on the table every single trade.
Example: Your average winner closes at +4%. But the MFE on those same trades averages +11%. You're capturing 36% of the available move.
The fix: Test trailing stops. Test higher take-profit targets. The MFE data shows you exactly how much room the market was giving you before reversing.
How to Track MAE and MFE in NexCandle
When you close a trade in NexCandle, you'll see two optional fields: MAE Price and MFE Price.
Enter the lowest price the trade hit (MAE) and the highest price the trade reached (MFE) before your close.
Over 20–30 trades, the pattern becomes clear.
NexCandle displays both metrics on each trade detail page and aggregates them in your stats. You'll see:
- Average MFE vs. average exit price (are you leaving money?)
- MAE distribution (how close to your stop do your winners get before reversing?)
- MAE on losing trades (were they bad setups, or bad stops?)
A Real Example: What 30 Trades of MAE/MFE Data Looks Like
After 30 ETH futures trades, a trader pulls their MAE/MFE data:
Average MFE on winners: +7.2%
Average exit on winners: +3.1%
Efficiency ratio: 43% — they're capturing less than half the available move
Average MAE on all trades: -1.9%
Stop loss level: -2.0%
Stop margin: 0.1% — stops are being hunted
Action taken:
- Move stops from -2% to -3.5% to survive noise
- Add a trailing stop that activates after +3% profit
Result after the next 30 trades: Average winner increases from $180 to $290. Losers increase slightly but fewer are stopped out by noise.
This is the compounding effect of data. One insight from MAE/MFE analysis is worth months of trial-and-error.
How to Start Logging MAE/MFE Today
- Open NexCandle and go to your journal
- Close your next trade as usual
- Before moving on, note the lowest price the trade hit (MAE) and the highest it reached (MFE)
- Enter both on the trade close screen
- After 20+ trades, open your stats to see the patterns
It takes 30 extra seconds per trade. The insight it generates is worth thousands.
Conclusion
Your edge is not just your entry. It's your entry and your exit — and right now, your exits are probably costing you more than your entries are making you.
MAE/MFE analysis is the diagnostic tool that reveals exactly where the leak is. Not from memory. Not from gut feeling. From data.
Every day without this data is a pattern you can't see.