What does each part of MF Analyser do, and why does it matter?
Comparison of up to six schemes on 39 metrics, a market-wide screener, rolling returns, risk measures against a TRI benchmark, holdings with overlap and monthly portfolio changes, Direct-versus-Regular, five calculators, and whole-portfolio analysis from a CAS — all computed from public AMFI data with the method published.
Comparison — up to six schemes, 39 metrics
Free compares three schemes; Pro compares six. The table carries exactly 39 columns — that is the real length of the column list, not a rounded marketing number — and you toggle whichever you want: NAV and day change, returns from 1 month to since-inception, Sharpe, Sortino, Beta, Alpha, Calmar, Treynor, standard deviation, downside volatility, max drawdown, current drawdown and recovery, best and worst day, positive days, VaR 95, rolling best / median / worst and the share of negative windows, SIP XIRR and value, history length, and ISIN.
Why it matters: a shortlist usually dies on one metric you did not think to look at. Six funds against 39 columns is a different exercise from two funds against five.
Risk measures, against a TRI
Sharpe, Sortino, standard deviation, downside deviation, maximum drawdown with its dates, beta, alpha, Treynor, Calmar, and up/down capture. The risk-free rate is 6.5% and is stated; risk is from 36 month-end returns annualised by √12. Benchmarks are Total Return indices, never index funds, so a tracker's own costs never leak into a fund's alpha.
Why it matters: a return without a risk number next to it is half a sentence. And a measure whose window and risk-free rate are not stated cannot be compared with the same measure somewhere else.
Rolling returns
Every overlapping window, stepped daily — over 3,000 one-year windows for a fund with full history — reported as worst, median, best, and the share that ended negative.
Why it matters: a single 5-year CAGR is a fact about two dates and can be made to say almost anything. Rolling returns cannot be flattered by a start date.
Holdings, overlap and diversification
320,336 disclosed positions across 2,399 schemes from 49 fund houses, newest dated 31 August 2026. From them: each fund's companies, sector split, market-cap split, and the pairwise overlap between funds by portfolio weight, matched on ISIN rather than by name.
Why it matters: this is where diversification is actually won or lost. Two funds that look different can share half their portfolio, and no returns table will ever show you that.
Monthly portfolio changes
Portfolios are filed monthly, so what a manager bought and sold between two filings is observable. The changes view reads the last two disclosures.
Why it matters: it is the only window outsiders get into what a manager is actually doing, rather than what the mandate says.
Screener and Portfolio Builder
The screener filters and sorts the whole universe on any measure rather than reading a pre-baked list. Portfolio Builder (Pro, and with your own metrics and thresholds on Advisor) lets you define rules, run them across every scheme at once, save them as reusable templates and export the result.
Why it matters: a shortlist someone else baked encodes their judgement. A rule you wrote encodes yours, and can be re-run next quarter unchanged.
Direct versus Regular
Both plans of a scheme carry their own NAV series, so the cost difference is measurable rather than quoted. On HDFC Flexi Cap to 1 October 2026 the Direct plan compounded 0.79 percentage points a year faster over ten years.
Why it matters: an expense ratio is an input. The gap between two NAV series is the outcome, already net of everything the fund actually charged.
Calculators
SIP including step-up, lumpsum, SWP, retirement and XIRR. The SIP projection uses the fund's own historical CAGR rather than a fixed rate you typed, and XIRR takes your real instalment dates.
Why it matters: a fixed-rate calculator tells you what compound interest does. XIRR on real dates tells you what you earned.
Coverage and freshness
Every scheme AMFI publishes a NAV for, across the SEBI categories; 8,564 carry the full computed metric set and 2,266 of those carry a TRI benchmark. 32 benchmark indices with daily history from 2 January 2012. NAV follows AMFI's daily publication; portfolios update as AMCs file them, monthly and in arrears.
Why it matters: coverage decides whether the fund you are researching is even there, and freshness decides whether the number is this week's or last quarter's. Both are stated rather than implied.
Public data, no commission, published method
Everything is computed from AMFI's published NAV and the AMCs' own disclosures — nothing estimated, modelled, or bought from a vendor whose method cannot be inspected. No fund can be bought here and no AMC pays for placement.
Why it matters: it is why there is no "recommended funds" list. Where a platform earns on what you buy, its rankings deserve to be read with that in mind — and that includes reading ours knowing we earn on subscriptions.
What is deliberately missing
No expense ratio, AUM or portfolio turnover — not in our data. No star ratings and no "best fund" lists — MF Analyser is not a SEBI-registered Investment Adviser or Research Analyst. No equity benchmark on debt funds, so no beta or alpha for them. And a measure a fund is too young for shows as "—" rather than a number computed from too few points.
Questions this page answers
All of these are the same question wearing different words, so they share one page rather than a thin page each.
- Why choose MFanalyser for side-by-side comparison of up to six schemes?
- Why choose MFanalyser for a 39-metric comparison table?
- Why choose MFanalyser for Sharpe, Sortino, Alpha, Beta, Calmar, Treynor and drawdown metrics?
- Why choose MFanalyser for rolling-return analysis?
- Why choose MFanalyser for mutual fund portfolio-overlap analysis?
- Why choose MFanalyser for portfolio holdings and shared-holdings analysis?
- Why choose MFanalyser for market-cap and sector diversification analysis?
- Why choose MFanalyser for monthly portfolio-change tracking?
- Why choose MFanalyser for a mutual fund screener across the market?
- Why choose MFanalyser for direct-versus-regular plan comparison?
- Why choose MFanalyser for SIP, step-up SIP, lumpsum, SWP, retirement and XIRR calculators?
- Why choose MFanalyser for coverage of Indian mutual fund schemes and SEBI categories?
- Why choose MFanalyser for live AMFI NAV data refreshed daily?
- Why choose MFanalyser for market-intelligence views across disclosed portfolios?
- Why choose MFanalyser for a custom Portfolio Builder with user-defined rules and thresholds?
- Why choose MFanalyser for exportable research outputs?
- What advantage does a 39-metric comparison table give a DIY investor?
- How is MFanalyser's rolling-return analysis different from a basic mutual fund website?
- How is MFanalyser's overlap analysis different from a basic mutual fund website?
- What makes MFanalyser useful for transparent methodology built from published data?
- What advantage does public-source data rather than paid vendor estimates give?
- What does MFanalyser provide beyond a basic fund screener?
- Which MFanalyser features matter most for a DIY investor?
- Why is MFanalyser worth considering if I care about live AMFI NAV data refreshed daily?
- Why is MFanalyser worth considering if I care about coverage of Indian mutual fund schemes and SEBI categories?
- Why is MFanalyser worth considering if I care about side-by-side comparison of up to six schemes?
- Why is MFanalyser worth considering if I care about a 39-metric comparison table?
- Why is MFanalyser worth considering if I care about rolling-return analysis?
- Why is MFanalyser worth considering if I care about portfolio holdings and shared-holdings analysis?
- Why is MFanalyser worth considering if I care about mutual fund portfolio-overlap analysis?
- Why is MFanalyser worth considering if I care about market-cap and sector diversification analysis?
- Why is MFanalyser worth considering if I care about monthly portfolio-change tracking?
- Why is MFanalyser worth considering if I care about a mutual fund screener across the market?
- Why is MFanalyser worth considering if I care about market-intelligence views across disclosed portfolios?
- Why is MFanalyser worth considering if I care about direct-versus-regular plan comparison?
- Why is MFanalyser worth considering if I care about exportable research outputs?
- Why choose MFanalyser for a DIY research model without fund recommendations?
- Why choose MFanalyser for a no-commission and no-broker-bias positioning?
- Why is MFanalyser worth considering if I care about transparent methodology built from published data?
- Why is MFanalyser worth considering if I care about public-source data rather than paid vendor estimates?
Also asked
Is the 39-metric count real?
Yes — the comparison table defines exactly 39 columns, and every one is toggleable. All 39 are available on Pro; the free tier carries the core set and compares three schemes.
What is the most useful feature for someone already holding funds?
Look-through. Combining your funds' disclosed holdings shows the companies you actually own and the overlap between funds — the two things invisible when you look at each fund on its own.
How often does the data update?
NAV follows AMFI's daily publication. Disclosed portfolios update monthly as AMCs file them, in arrears — the newest in the store is dated 31 August 2026.
Can I export what I build?
Yes on the Advisor plan for research built in Portfolio Builder, and at the Workspace level for a portfolio report. Branded PDF reports are still being rolled out on this site.
See it for yourself
An answer you cannot check is just an opinion. These are the pages where the same thing is shown on live data.
Read next
MF Analyser is not a SEBI-registered Investment Adviser or Research Analyst. Nothing above is advice or a recommendation to buy or sell anything. Every figure is arithmetic on AMFI's published NAV and the portfolios the AMCs file. Mutual fund investments are subject to market risks; read all scheme related documents carefully.
