Most investors evaluate a strategy by one number: CAGR. "This strategy returned 42% last year" sounds great. But 42% with a 58% drawdown in between, where your ₹10 lakh fell to ₹4.2 lakh before recovering, is a very different experience than 42% with a maximum 15% drawdown.

Risk metrics give you the complete picture. Before you put real money into any strategy, learn to read the six below. Anyone who shows you only CAGR is leaving out the part that decides whether you can live with it.

38%

how far the Nifty 50 fell, close to close, from January to 23 March 2020

NSE index closes

30.7%

peak to trough fall of the Nifty200 Momentum 30, two years to 9 Oct 2026

NSE index closes

7.2%

10 year government bond yield, a common risk free rate in India

Market close, 1 Oct 2026

5.50%

RBI repo rate after the 7 Oct 2026 hike

RBI monetary policy, 7 Oct 2026

  1. Max drawdownCan you survive the worst fall?
  2. CAGRIs the reward worth that fall?
  3. Sharpe and SortinoReward per unit of pain.
  4. BetaHow much is just the market?
  5. AlphaWhat is left that is genuinely extra?

That is the order I read a back test in. Drawdown first, not CAGR. Most sales decks reverse it because CAGR is the cleanest number to market. Drawdown is the one that decides whether you stay invested long enough to collect the CAGR.

The six metrics you need to know

CAGR
Compound Annual Growth Rate
How fast your money grew, annualised
CAGR = (Ending Value / Starting Value) ^ (1 / Years) − 1
CAGR converts total return over any period into an equivalent annual rate. ₹1 lakh growing to ₹3.2 lakh in 5 years = CAGR of 26%. Clean, comparable across strategies, and essential. But completely silent about the journey.
CAGR says nothing about path. A 26% CAGR could involve a 55% drawdown in year 2, or it could have been smooth every year. Always pair with drawdown.
MDD
Maximum Drawdown
The worst peak-to-trough loss in history
MDD = (Trough Value − Peak Value) / Peak Value
Maximum Drawdown is the largest percentage decline from any portfolio peak to the subsequent trough before a new peak. If your ₹10 lakh portfolio reached ₹15 lakh then fell to ₹8.5 lakh before recovering, MDD = (8.5−15)/15 = −43.3%. This is the most important risk metric for most retail investors, it represents the actual loss you must stomach and not panic-sell through.
MDD is backward-looking. The next drawdown may be worse than anything in the backtest. Treat MDD as a floor estimate for future worst-case scenarios, not a ceiling.
SR
Sharpe Ratio
Return per unit of total risk
Sharpe = (Portfolio Return − Risk-Free Rate) / Standard Deviation of Returns
Sharpe measures how much excess return you earned for each unit of volatility. In India, the risk free rate is usually taken as the 10 year government bond yield, about 7.2% on 1 October 2026, or a short term T bill rate. A Sharpe above 1.0 is good; above 1.5 is excellent; above 2.0 is exceptional for long-only equity. Below 0.5 suggests the returns don't justify the volatility.
Sharpe penalises upside volatility equally with downside. A strategy with occasional large gains has a lower Sharpe than a smoothly grinding one, even if the big-swing strategy is actually better. This is why Sortino exists.
SOT
Sortino Ratio
Return per unit of downside risk only
Sortino = (Portfolio Return − Risk-Free Rate) / Downside Deviation
Sortino uses only downside volatility (negative returns below the threshold) in the denominator. Upside volatility is ignored entirely, which is how most investors actually experience risk. A Sortino above 1.5 is generally good. When Sortino is significantly higher than Sharpe, it signals the strategy's volatility is mostly on the upside.
If Sortino >> Sharpe, that's actually good news: the volatility is mostly upside swings, not downside losses.
β
Beta
Sensitivity to market movements
Beta = Covariance(Portfolio, Market) / Variance(Market)
Beta measures how much your portfolio moves when the market moves. Beta = 1.0 means it moves with the benchmark. Beta = 1.4 means when the market falls 10%, your portfolio tends to fall 14%. Momentum strategies typically have beta above 1: NSE's factsheet put the Nifty200 Momentum 30 at 1.18 against the Nifty 50 over five years to September 2026. Quality and low volatility sit below 1: the NIFTY200 Quality 30 at 0.82.
Low beta ≠ low risk. A low-beta portfolio can still carry high concentration or sector risk that doesn't show up in the beta calculation. Always read beta alongside drawdown.
α
Alpha
Return above what market exposure explains
Alpha = Portfolio Return − [Risk-Free Rate + Beta × (Market Return − Risk-Free Rate)]
Alpha is the return you earned that can't be explained by simply owning the market at your portfolio's beta. If your strategy returned 22% but the beta-adjusted benchmark expectation was 16%, your alpha is +6%. Consistent positive alpha over 5+ years, after costs, is the ultimate evidence that a systematic strategy adds real value.
Alpha above 0% annually after costs means the strategy genuinely adds value beyond passive market exposure. It is a high bar. Most active funds do not clear it over ten years, as Module 2.1 showed.

Reading metrics together

MetricWhat it answersMinimum barExcellent
CAGRHow fast did money grow?> Nifty 500 CAGR> Nifty 500 + 8%
Max DrawdownWhat was the worst loss?< 45%< 25%
Sharpe RatioReturn per unit volatility?> 0.8> 1.3
Sortino RatioReturn per unit downside?> 1.0> 1.8
BetaMarket sensitivity?Understood & intentionalContext-dependent
AlphaValue above market?> 0% annualised> 5% annualised
₹100 in Allcap Multi Asset against ₹100 in the Nifty 50 TRI: drag along the line and find the falls

The Allcap Multi Asset model line grows far faster than the index line, with a fall of 21.3% at its worst; the index line is a smoothed CAGR path.

Model, back tested. Monthly values from lineup.json. The benchmark line is a smoothed CAGR path, not the daily index. Not a promise of future returns.

Drag along that line. The model curve does not go up in a straight line. Its worst fall, 21.3% from December 2024, took about a year to recover. If you had been in it, that year is the only part you would remember. The CAGR is the reward. The drawdown is the price.

The climb back after a fall

Gain needed to get back 42.9%

Recovery = fall ÷ (1 minus fall). Try 50: you need 100% just to break even.

A worked example

Real numbers this time. Here are three strategies from the RupeeCase lineup, all model, back tested over the same window, as of 27 April 2026.

StrategyCAGRMax drawdownSharpeRisk band
Allcap44.70%−22.72%1.68Moderately High
Allcap Multi Asset40.47%−21.32%1.81Moderate
Energy Basket33.12%−39.48%1.12High
Nifty 50 Equal Weight16.35%−15.71%1.13Moderate

Model, back tested. As of 27 Apr 2026, from the RupeeCase lineup data. Not client returns and not a promise of future returns.

Higher return did not mean better: Sharpe tells a different story

Sharpe ratio, model, back tested

  1. Allcap Multi Asset1.81
  2. Allcap1.68
  3. Nifty 50 Equal Weight1.13
  4. Energy Basket1.12

Model, back tested. As of 27 Apr 2026. Not a promise of future returns.

Read them in my order. Drawdown first: Energy Basket fell almost 40% at its worst, nearly twice the others. CAGR next: it earned less than the two Allcap strategies anyway. Sharpe confirms it: the same reward per unit of risk as a plain equal weight Nifty, with two and a half times the drawdown. Now compare Allcap with Allcap Multi Asset. The multi asset version gave up about 4 points of CAGR for a 10% debt and 10% gold sleeve, and got a slightly smaller drawdown and a higher Sharpe. Neither is "the best". Which one fits depends on the fall you can sit through.

The CAGR trap: Plenty of pitches show only CAGR. A 35% CAGR with a 65% max drawdown means you needed to hold through a 65% loss to get that return. Most investors can't and don't, they panic-sell at the bottom, locking in the loss and missing the recovery. A lower CAGR with lower drawdown may be the far better real-world outcome.

Common mistakes with risk metrics

Comparing Sharpe ratios built on different windows. A Sharpe from a bull market is not comparable with one that includes 2020. Check the dates.

Treating max drawdown as the worst case. It is the worst so far. The next one can be deeper.

Using a monthly series and calling it daily risk. Monthly data hides falls that happened inside the month. Know the frequency behind the number.

Forgetting the risk free rate moves. With the 10 year yield at about 7.2% in October 2026, a strategy needs a higher return than in a 5% world to earn the same Sharpe.

MythA higher CAGR always means the better strategy.

FactOnly if you can hold it. A 40% CAGR with a 60% drawdown needs you to watch ₹100 become ₹40 and not sell. Most people sell, and earn the drawdown without the CAGR.

How this shows up in RupeeCase

Every RupeeCase strategy page leads with the same set of numbers: CAGR, Sharpe and max drawdown, all model, back tested and dated, next to the benchmark, plus a risk band from Moderate to Very High. The strategy pages also list the worst drawdowns with their start and recovery dates. The Allcap Multi Asset page is a good place to practise: find the drawdown first, then decide whether the CAGR is worth it to you.

What is a good Sharpe ratio for an Indian equity strategy?

Above 1 is good for long only equity, above 1.5 is strong. Context matters: a Sharpe from a short or unusually calm window flatters any strategy. Always check the period and the risk free rate used.

What is the Calmar ratio?

CAGR divided by the absolute max drawdown. A strategy with 20% CAGR and a 20% max drawdown has a Calmar of 1. It answers a simple question: how many years of return does the worst fall cost?

Why do back tested drawdowns often look smaller than real ones?

Because real trading adds slippage, delays and your own reactions, and because the future can hold a fall the history did not. Treat any back tested drawdown as a minimum, not a maximum.