MFE

What it is

MFE stands for Maximum Favorable Excursion — the best unrealized profit a trade reached at any point during the hold, regardless of how the trade actually ended. If you entered long at 4500, the trade ran up to 4520 before pulling back and you exited at 4505, the MFE was 20 points. That number is fixed by the price path; it doesn't change based on your exit decision.

MFE is computed per trade and joins MAE (Maximum Adverse Excursion) as the two boundary statistics of intra-trade price action. Together they describe the envelope the trade traded inside before it closed.

The reason MFE exists as a tracked metric is that the realised P&L of a trade is a single point — but the opportunity inside the trade is a path. Two trades with identical +5 point P&L can have wildly different MFE: one that hit +5 immediately and dribbled to the exit, versus one that ran to +25 and gave back 20. Same outcome, very different quality.

Why it matters

MFE diagnoses your exit decisions in a way that P&L alone cannot. Specifically:

• High MFE on losers signals you let real profit turn into loss. The trade worked; your exit logic didn't.
• Low MFE on winners signals over-tight targets — you exited well before the trade's natural extension.
• MFE close to realised P&L on winners signals well-calibrated exits — you captured most of what was available.
• MFE distributions across the strategy show whether your typical trade has long runs available or whether the edge is in fast, small captures.

These reads inform target placement, trailing-stop calibration, and the basic question of whether your exit logic is the bottleneck in your strategy or whether the entries are the limit.

How traders use it on Sierra Chart

MFE is a journaling-layer metric: it requires reconstructing the price path during each trade's hold from tick data. Most live execution interfaces don't surface it during the trade — it's a post-trade analytic.

The SCS Trading Journal reads Sierra Chart's SCID tick files to compute MFE per trade from the actual intra-trade price path, so the analytic is grounded in real fills and real ticks rather than estimated from bar opens and closes. The journal then surfaces MFE distributions, MFE-vs-realised plots, and per-strategy MFE summaries.

For traders running their own analytics in spreadsheets, MFE typically requires tick-level price history during each hold, which is why SCID-based journaling is the natural source.

Common patterns / pitfalls

• MFE depends on tick-level price during the hold. Estimating it from minute bars systematically underreports the true peak.
• A high MFE alone doesn't mean you should have held longer — the path that produced the peak might not have given a clean exit signal at the top.
• MFE on partial-exit trades is fuzzy. Conventions vary; pick one (typically: MFE of the original full position) and stay consistent.
• A strategy with consistently low realised P&L but high MFE has an exit problem, not an entry problem. The fix is on the management side.
• MFE alone is not actionable. Pair it with MAE to see the full intra-trade envelope before re-tuning exit rules.

Related SCS studies

Trading Journal computes MFE per trade from Sierra Chart's tick files automatically, surfacing it as a distribution alongside MAE so trade exit quality can be measured against the actual price path of each hold.