# Indian Mutual Fund Analytics: Returns, Risk & Rolling Returns

Compare up to 200 mutual funds at once on official AMFI NAV data: returns and risk (Sharpe, Sortino, Treynor, alpha, beta, drawdown, capture), multi-period rolling returns with custom evaluation windows, SIP returns, and category-level benchmarking against Nifty and other indices. This hub links the live tools, the free data API, and a plain-English write-up of every metric.

Source: https://www.tigzig.com/mutual-funds

## Live tools - analyze it yourself

MFPRO is the flagship app for comparing and analyzing funds. The MF Processor is the companion for pulling a specific fund’s holdings composition.

- [MFPRO - Mutual Fund Analytics](https://mfpro.tigzig.com) - Compare up to 200 funds side by side. Returns, risk metrics (Sharpe, Sortino, Treynor, alpha, beta, max drawdown, capture ratios), multi-period rolling returns with custom evaluation windows, SIP returns, and category-level benchmarking against Nifty and other indices. Also shows holdings composition for a curated set of funds.
- [MF Portfolio Files Processor](https://mf.tigzig.com) - Need the composition of a specific fund that is not in MFPRO’s composition set? This AI tool reads a fund’s monthly portfolio disclosure and extracts clean holdings data with automatic schema detection.

## Returns metrics

How returns are measured, from the headline CAGR to the full rolling-return distribution. Each page has the formula, a worked example and interpretation.

- [CAGR (Compound Annual Growth Rate)](https://www.tigzig.com/mfpro/cagr-returns) - The annualized return that smooths a fund’s ups and downs into one number.
- [Rolling Returns](https://www.tigzig.com/mfpro/rolling-returns) - Return for every possible holding period, not just one start date.
- [Standard Deviation (Volatility)](https://www.tigzig.com/mfpro/standard-deviation) - How spread out a fund’s returns are around the average.
- [Maximum Drawdown](https://www.tigzig.com/mfpro/maximum-drawdown) - The worst peak-to-trough fall before a fund recovered.
- [Calmar Ratio](https://www.tigzig.com/mfpro/calmar-ratio) - Return earned per unit of maximum drawdown pain.
- [Beat Rate](https://www.tigzig.com/mfpro/beat-rate) - The share of rolling periods where a fund beat its benchmark.

## Risk metrics

Market sensitivity, skill vs luck, and reward-per-unit-of-risk, all computed on daily NAV returns against a benchmark.

- [Beta and R-Squared](https://www.tigzig.com/mfpro/beta-and-r-squared) - A fund’s market sensitivity, and how much the market explains it.
- [Alpha and t-statistic](https://www.tigzig.com/mfpro/alpha-and-t-stat) - Excess return over the market, and whether it is statistically real.
- [Sharpe Ratio](https://www.tigzig.com/mfpro/sharpe-ratio) - Excess return earned per unit of total volatility.
- [Sortino Ratio](https://www.tigzig.com/mfpro/sortino-ratio) - Return per unit of downside risk, ignoring upside swings.
- [Tracking Error and Information Ratio](https://www.tigzig.com/mfpro/tracking-error-information-ratio) - How far a fund strays from its benchmark, and whether the strays pay off.
- [Capture Ratios (Upside and Downside)](https://www.tigzig.com/mfpro/capture-ratio) - How much of the market’s rises and falls a fund captures.
- [Win Rate](https://www.tigzig.com/mfpro/win-rate) - The share of periods a fund finished in positive territory.

## Advanced risk

Tail risk, distribution shape, drawdown pain and diversification, for a deeper read than the headline ratios.

- [Treynor Ratio](https://www.tigzig.com/mfpro/treynor-ratio) - Excess return per unit of market risk (beta).
- [Value at Risk (VaR) and CVaR](https://www.tigzig.com/mfpro/value-at-risk-cvar) - A loss threshold at a confidence level, and the average loss beyond it.
- [Skewness and Kurtosis](https://www.tigzig.com/mfpro/skewness-and-kurtosis) - The asymmetry and fat tails of a fund’s return distribution.
- [Ulcer Index](https://www.tigzig.com/mfpro/ulcer-index) - Drawdown pain measured by both depth and how long it lasts.
- [Drawdown and Recovery](https://www.tigzig.com/mfpro/drawdown-recovery) - The biggest falls, how deep they went, and how long they took to recover.
- [Correlation Matrix](https://www.tigzig.com/mfpro/correlation-matrix) - How closely funds move together, for diversification decisions.

## Scoring & ranking

Turn many metrics into one comparable view: a custom weighted score and peer-set percentile ranks.

- [Dynamic Scoring](https://www.tigzig.com/mfpro/dynamic-scoring) - Rank funds by a custom weighted blend of returns and risk metrics.
- [Percentile Rank](https://www.tigzig.com/mfpro/percentile-rank) - Where a fund sits within its peer set, metric by metric.

## Data & API

Free, no-auth access to the same AMFI NAV data the tools run on.

- [MF NAV API - reference](https://www.tigzig.com/apis/mf-nav) - Query per-scheme NAV history or download the full dataset (CSV / Parquet / SQLite). No key, no sign-up.
- [Free Mutual Fund NAV API for India (AMFI) - guide](https://www.tigzig.com/post/free-mutual-fund-nav-api-india) - What the API returns, how to call it, and how the AMFI data is assembled.

## Background reading

A couple of pieces worth reading alongside the metrics.

- [Rolling Returns: Why CAGR Alone Can Mislead You](https://www.tigzig.com/post/rolling-returns-why-cagr-alone-can-mislead-you) - Why a single start-date return can deceive, and what the rolling-return distribution shows instead.
- [MFPRO v2 - rolling returns, custom eval periods, multi-period comparisons](https://www.tigzig.com/post/mfpro-v2-mutual-fund-analytics-rolling-returns) - Release notes for the current MFPRO capabilities.