MAR Ratio

The MAR Ratio divides a strategy’s annualized return by its maximum drawdown over the complete track record, producing a single number that answers a question every trader must face: are my returns large enough to justify the worst loss I’ve ever suffered? Named after the Managed Accounts Reports newsletter that originated in the 1970s to compare commodity trading advisors, MAR is a risk category metric that treats drawdown as the true cost of a strategy — not volatility, not individual losing trades, but the deepest hole you’ve dug and had to climb out of.

Formula & Calculation

MAR Ratio = Annualized Return (%) ÷ Maximum Drawdown (%)

Where:

• Annualized Return (%) = CAGR over the full track record, expressed as a positive percentage
• Maximum Drawdown (%) = Largest peak-to-trough equity decline over the full track record, expressed as a positive percentage

To calculate MAR, determine your CAGR using the formula (Ending Value / Beginning Value)^(1/Years) - 1, convert to a percentage, then divide by the absolute value of your maximum drawdown percentage. Both inputs use the full history — not a rolling window. That’s the distinction that separates MAR from its closest cousin, the Calmar ratio, which limits its lookback to the trailing 36 months. Calmar can flatter a strategy that had its worst drawdown four years ago; MAR has no such amnesia.

Benchmarks

Level	Range	What It Means
Excellent	above 1.5	Elite risk efficiency — rarely sustained by retail traders over multi-year periods
Strong	1.0 – 1.5	Institutional-grade — top CTAs like Dunn Capital and Man AHL operate here over decade-long periods
Average	0.5 – 1.0	Acceptable for systematic retail traders; strategy is viable but capital efficiency can improve
Poor	below 0.5	Drawdowns are consuming returns faster than the strategy recovers — a sustainability red flag

These benchmarks are context-dependent. Futures trend-following strategies typically accept a lower MAR in exchange for higher return potential during trending regimes. Options income strategies, which carry tail-risk exposure, should be held to a higher MAR standard since a single volatility event can generate outsized drawdowns.

Practical Example

A trader runs a momentum strategy on ES futures from January 2022 through December 2025 — a 4-year track record. Total return: 96%, which calculates to approximately 24% annualized using CAGR. The maximum drawdown occurred during the 2022 bear market: -28% peak to trough.

ES Momentum MAR = 24 ÷ 28 = 0.86 — solid, above average.

Now compare to the same trader’s options-selling strategy over the identical period: 18% annualized return, but a -42% drawdown hit during a volatility spike.

Options Strategy MAR = 18 ÷ 42 = 0.43 — poor.

The options strategy looked profitable in isolation, but the MAR test exposes the problem: a 42% drawdown requires a 72% gain just to return to the prior high-water mark. The trader cuts position size on options and reallocates capital to the ES momentum system. That’s MAR used as an allocation tool, not just a scorecard.

How to Track MAR Ratio

1. Tag every trade by strategy — MAR calculated account-wide blends results and hides failing setups behind profitable ones. Label each trade at entry with a strategy name.
2. Track high-water marks after every session — To measure maximum drawdown accurately, you need a running record of equity peaks, not just a start and end balance.
3. Use CAGR, not simple average annual return — Simple averages overstate performance in years with large losses. CAGR compounds correctly and produces a MAR figure comparable across strategies with different track record lengths.
4. Recalculate MAR quarterly — A strategy that posted MAR 1.2 in year one and 0.6 in year three is degrading. Quarterly monitoring catches the trend before it becomes a crisis.
5. Log drawdown start and recovery dates — The drawdown duration alongside depth tells you whether the strategy recovers quickly or grinds sideways for months.

How to Improve MAR Ratio

1. Size down 50% when equity drops 10% from the high-water mark — Limiting drawdown depth at the strategy level is the most direct lever on MAR. Half-size during losing runs preserves the denominator without abandoning the system.
2. Install a per-strategy circuit breaker at 15% drawdown — When an individual strategy hits a 15% drawdown, stop trading it and review the trade log before resuming. This prevents a single bad month from defining the entire track record.
3. Concentrate allocation in your highest-MAR setups — Traders often overweight their highest win-rate setups. Instead, use risk-adjusted return and MAR to identify which setups generate the best return per unit of drawdown risk.
4. Cap instrument concentration at 40% of total exposure — Concentration in a single name or sector is the most common cause of catastrophic drawdowns in otherwise disciplined strategies. Diversification protects the denominator.

Common Mistakes

1. Calculating MAR account-wide instead of per strategy — A strong strategy can mask a failing one. Per-strategy MAR is the only version that isolates which setups deserve capital allocation.
2. Confusing MAR with the Calmar ratio — Using only the trailing 36 months is the Calmar ratio’s definition. MAR requires the full track record. The two will diverge significantly after a strategy’s worst drawdown ages past three years.
3. Comparing MAR across strategies with different track record lengths — A 2-year MAR of 1.2 is not comparable to a 10-year MAR of 0.9. Longer track records accumulate larger maximum drawdowns by construction. Match time horizons before drawing conclusions.
4. Ignoring MAR trend over time — MAR is not a static credential. Reviewing it only once treats it as a historical footnote rather than an early warning system. Quarterly updates reveal whether a strategy is holding its edge or quietly deteriorating.
5. Assuming a high win rate protects MAR — Win rate measures frequency; MAR measures magnitude. A strategy winning 75% of trades but occasionally suffering a -35% drawdown event will still post a poor MAR. According to Brad Barber and Terrance Odean’s research at UC Davis, the average active retail trader underperforms by 1.5% annually after costs — compressing MAR over time regardless of short-term win streaks.

How JournalPlus Calculates MAR Ratio

JournalPlus calculates MAR automatically for each strategy tag in your trade log, using your full logged history as the denominator — not a rolling window. The analytics dashboard displays your current MAR alongside a trend line showing how it has changed quarter by quarter, so you can see whether a strategy is holding its edge or degrading. You can filter the performance chart by strategy tag, date range, or instrument to isolate individual setups and compare their MAR side by side. When your MAR drops below configurable thresholds, the dashboard flags the metric in the performance summary, giving you an early signal before a drawdown becomes unrecoverable.