Maximum Drawdown
The single largest peak-to-trough loss ever recorded in a portfolio or strategy — the definitive worst-case loss benchmark for risk evaluation.
Definition
Maximum Drawdown (MDD) is the largest single drawdown experienced by a portfolio or trading strategy over a specified historical period. It identifies the worst peak-to-trough equity decline — the moment when the strategy had lost the most relative to its prior high — regardless of when it occurred. MDD is expressed as a percentage and is always a non-positive number: a maximum drawdown of −28% means the strategy once fell 28% below its all-time high before recovering. Across identical return profiles, the strategy with the lower MDD is considered less risky and more psychologically survivable. MDD is a staple output of every backtesting engine and is used by prop firms, family offices, and individual algo traders in India to decide whether a strategy is deployable with real capital.
Why it matters
MDD is often described as the one number that tells you whether you could actually have survived trading a strategy through its worst phase. A strategy that shows 60% annual returns in a backtest but also shows an MDD of 55% is effectively untradeable for most retail participants: at the trough, more than half the capital is gone, and discipline typically breaks long before recovery. In Indian F&O markets, MDD spikes occur during high-volatility events — RBI emergency rate decisions, geopolitical shocks, surprise election results — where weekly expiry short-option strategies can suffer several months' worth of premium income in a single day. MDD also underpins the Calmar Ratio, defined as annualised return divided by absolute MDD, which normalises performance for the pain endured. Regulators and risk managers use MDD as a hard stop: prop traders are often suspended when their live MDD breaches a preset limit, preventing further capital erosion. Comparing MDD with Value at Risk gives a fuller picture of tail risk — VaR is a probabilistic estimate, while MDD is a realised historical fact.
Formula
MDD = min over all time periods t of [ (Trough value at t − Peak value prior to t) ÷ Peak value prior to t ]
Equivalently, if you have a time series of daily portfolio values, MDD = the most negative value of all computed drawdowns across the entire series. Calmar Ratio = Annualised Return ÷ |MDD|. A Calmar Ratio above 1.0 is generally considered acceptable; above 2.0 is strong.
Example
Suppose a hypothetical Nifty short-strangle strategy is backtested over three years with monthly equity snapshots (in ₹ lakh): the account grows from ₹10L to ₹18L over the first 14 months, then drops to ₹12L during an extreme volatility event, recovers to ₹22L over the next 10 months, then falls to ₹16L, and ends the period at ₹24L. The first drawdown episode is (₹12L − ₹18L) ÷ ₹18L = −33.3%. The second is (₹16L − ₹22L) ÷ ₹22L = −27.3%. The Maximum Drawdown over the full period is −33.3%, which occurred in the first episode. The strategy generated a 140% total return (₹10L to ₹24L) over three years, roughly 34% CAGR. The Calmar Ratio = 34% ÷ 33.3% = 1.02 — borderline acceptable. This is a hypothetical illustration; live performance will differ.
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