Core Metric 05 / 05
Equity Acceleration (ACCEL)
“Is compounding gaining momentum?”
Equity Acceleration measures compounding velocity. MARS is not only trying to be profitable — it is trying to convert expectancy into accelerating capital growth. ACCEL tells the operator whether the equity curve is gaining speed, flattening, or quietly losing momentum.
The formula, derived
ACCEL is the slope of the growth rate itself — not whether equity rises, but whether compounding velocity is building or decaying.
How MARS reads it
Technical explanation
A system can be profitable but slowing; growing but destabilizing; or underperforming now while beginning to accelerate. ACCEL distinguishes these states before the raw equity curve makes them obvious.
Positive EV with negative ACCEL usually points to friction, poor sequencing, open-exposure drag, drawdown pressure, or inefficient risk conversion — each with a different repair path.
ACCEL is deliberately ranked below EV and DD in the hierarchy: aggressive acceleration with expanding drawdown is unstable growth, not clean alpha. It confirms; it never overrides safety.
The SDE ACCEL pipeline reads acceleration across 4-week, 6-week, 12-week, and cumulative layers with maturity-aware interpretation.
Interpretation bands
Strong. Neutral. Weak.
Strong
Positive and building, with drawdown controlled and benchmark-aligned or better — compounding is gaining clean momentum.
Neutral
Flat or oscillating — growth is steady-state; watch for friction accumulating beneath the surface.
Weak
Negative while EV remains positive — the machine earns edge but loses velocity converting it; structural review required.
Use cases
Where it earns its place
- ▸Detecting momentum decay while headline P&L still looks healthy
- ▸Confirming whether structural improvements actually translate into faster compounding
- ▸Separating early-acceleration recovery phases from dead-cat variance
- ▸Comparing live growth velocity against the benchmark median path
Edge cases
Where it can mislead
- !Acceleration with expanding drawdown: velocity bought with instability — flagged as lock-risk trajectory, not success.
- !Deceleration inside defensive gates: compression states are supposed to slow growth; ACCEL must be read against gate context.
- !Step-function equity: a single fat-tail winner creates a false acceleration spike; rolling windows smooth the read.
Example scenarios
The metric in the wild
The quiet stall
Equity makes new highs every month, but ACCEL has been negative for six weeks — each high arrives slower. The system routes attention to fee drag and capture efficiency before the stall becomes visible in P&L.
Dangerous velocity
ACCEL turns sharply positive while drawdown expands and tier usage runs hot. The benchmark comparison labels it unstable growth; the throttle holds deployment flat despite the exciting curve.
Monte Carlo connection
The benchmark provides a modeled growth path with percentile bands. ACCEL tells the operator whether live equity is bending toward the median, away from it, or above it — and whether that bend is stable or bought with risk.
Monte Carlo Lab →Live benchmark comparison
Live acceleration ahead of the modeled path with controlled drawdown may indicate live alpha; acceleration behind the path triggers friction and efficiency review rather than strategy abandonment.
7-Tier MC Benchmark →Go deeper
Operator briefs on this territory.
Deep dive — 01
Expectancy arithmetic: what a trade is worth before it happens.
The EV formula walked end to end — why per-trade worth beats realized P&L as the master metric.
Read the full brief →
Deep dive — 02
Reading the fan: Monte Carlo without self-deception.
What the percentile bands actually promise, why P10 governs sizing, and where simulation authority ends.
Read the full brief →
Deep dive — 03
MAE/MFE: what your trades did while you weren't looking.
Reading maximum adverse and favorable excursion to audit stops, targets, and exits with evidence.
Read the full brief →
ACCEL is calculated for you — automatically.
Every reading on this page is produced, tracked, and interpreted inside the MARS workbook ecosystem.
