The Final Tape

Excursion Metrics Tracker

Per-trade logging template for MAE, MFE, MAPE, MFPE, and PEE sequence analysis in R

Metric definitions

MetricDefinition
MAEMaximum Adverse Excursion — worst move against you while trade was open
MFEMaximum Favorable Excursion — best move in your favor while trade was open
MAPEMaximum Adverse Post-Exit — worst move against you after exit
MFPEMaximum Favorable Post-Exit — best move in your favor after exit (opportunity cost)
PEE sequenceWhich post-exit extreme came first: MFPE first, MAPE first, or Unknown

Per-trade tracker fields

  • Setup name + symbol + direction
  • Planned risk ($) or R distance for normalization
  • Entry price, exit price, realized R
  • MAE in R (e.g. –0.8R)
  • MFE in R (e.g. +2.4R)
  • MAPE in R (post-exit adverse, or N/A)
  • MFPE in R (post-exit favorable, or N/A)
  • PEE sequence: MFPE first / MAPE first / Unknown
  • MFE capture % = realized R ÷ MFE in R
  • Primary exit tag + notes

PEE sequence review checklist

  • Log all four excursion metrics on every completed trade
  • Express each metric in R using planned risk from entry
  • Record PEE sequence after defining post-exit window (1–4 hrs or session close)
  • Calculate MFE capture % for each trade
  • Tag primary exit leak — one tag, not five

Example logged trade

SetupRealized RMAEMFEMAPEMFPEPEECaptureTag
ORB Long ES+1.0R–0.8R+2.4RN/A+2.7RMFPE first42%Fear exit

Weekly aggregation (20 trades)

  • Filter last 20 completed trades with full excursion data
  • Compute avg MFE capture % by setup
  • Rank top MFPE leak by frequency × R damage
  • Group by PEE sequence — count MFPE-first after red days
  • Write one Kill List item from top excursion pattern

R-multiple discipline: From P&L Obsession to R-Multiple Discipline

Kill List workflow: How to Build a Kill List

Minimum journal schema: Why Your Trading Journal Is Lying to You

Full lesson: Lesson 8 — Excursion Metrics and PEE Sequence Analysis

Log excursions in the app: Try The Final Tape free