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ANGEL ONE NIFTY TOTAL MARKET INDEX FUND DIRECT PLAN GROWTH OPTION is an index scheme managed by Angel One Mutual Fund. It has ranked in the top half of its category for 0 of the last 1 reported years. The total expense ratio is 0.28% on assets of ₹58Cr. The fund is currently managed by Mr. Kewal Shah, appointed within the last year.
Lower is better.
This scheme classifies as Large-Value on the 3x3 equity style box, with 92% of its portfolio classified as of 2026-05-29.
| Holding | Sector |
|---|
| Window | Min | P25 | Median |
|---|
Point-in-time CAGRs cherry-pick a single start date. The chart below shows the distribution of every possible rolling start over the fund's history, so you see the range of investor outcomes — not just one date's number.
Backtested SIP outcomes across both rolling-window scenarios and named historical stress events (COVID, Election uncertainty, Russia/Ukraine, etc.), plus per-manager alpha during their tenure on this scheme.
Same fund, monthly SIPs over rolling 1/3/5-year windows.
Mutual fund investments are subject to market risks. Read all scheme-related documents carefully. Past performance is not indicative of future results. MintByte is an AMFI-registered Mutual Fund Distributor (ARN-314872) and APMI member (APRN-01658). MintByte does not issue buy/sell recommendations on specific securities — the site is an educational data and analytics platform. Star ratings on this page reflect a 3-year category-quartile position computed in-house and are educational only.
Mutual fund schemes are subject to market risk. Read all scheme-related documents carefully before investing. Past performance is not indicative of future results. MintByte is an AMFI-registered mutual fund distributor (ARN-314872). MintByte does not issue buy/sell recommendations on specific securities — the site is an educational data and analytics platform. Not investment advice. Methodology · How we earn.
ETF-specific data. Tracking error is the standard-deviation of (ETF return − index return) over the trailing year.
In-house derivations using 3-year daily NAV vs benchmark. See methodology.
| Weight |
|---|
| HDFC BANK LIMITED | Financial Services | 5.84% |
| RELIANCE INDUSTRIES LIMITED | Energy | 4.78% |
| ICICI BANK LIMITED | Financial Services | 4.47% |
| BHARTI AIRTEL LIMITED | Communication Services | 2.86% |
| LARSEN AND TOUBRO LIMITED | Industrials | 2.33% |
| STATE BANK OF INDIA | Financial Services | 2.19% |
| INFOSYS LIMITED | Technology | 2.05% |
| AXIS BANK LIMITED | Financial Services | 1.80% |
| ITC LIMITED | Consumer Defensive | 1.50% |
| MAHINDRA AND MAHINDRA LIMITED | Consumer Cyclical | 1.37% |
| TATA CONSULTANCY SERVICES LIMITED | Technology | 1.25% |
| HINDUSTAN UNILEVER LIMITED | Consumer Defensive | 0.99% |
| SUN PHARMACEUTICAL INDUSTRIES LTD. | Healthcare | 0.95% |
| NTPC LIMITED | Utilities | 0.94% |
| TITAN COMPANY LIMITED | Consumer Cyclical | 0.89% |
| MARUTI SUZUKI INDIA LIMITED | Consumer Cyclical | 0.86% |
| TATA STEEL LIMITED | Basic Materials | 0.86% |
| BHARAT ELECTRONICS LIMITED | Industrials | 0.76% |
| BSE LIMITED | Financial Services | 0.74% |
| HINDALCO INDUSTRIES LIMITED | Basic Materials | 0.74% |
| POWER GRID CORPORATION OF INDIA LIMITED | Utilities | 0.71% |
| ULTRATECH CEMENT LIMITED | Basic Materials | 0.68% |
| Shriram Finance Limited | Financial Services | 0.65% |
| HCL TECHNOLOGIES LIMITED | Technology | 0.63% |
| ADANI PORTS AND SPECIAL ECONOMIC ZONE LIMITED | Industrials | 0.60% |
| Sector | Holdings | Weight |
|---|---|---|
| Financial Services | 96 | 29.90% |
| Capital Goods | — | 7.63% |
| Oil, Gas & Consumable Fuels | — | 7.45% |
| Automobile and Auto Components | — | 6.95% |
| Healthcare | 60 | 6.70% |
| Information Technology | — | 6.34% |
| Fast Moving Consumer Goods | — | 5.83% |
| Metals & Mining | — | 4.28% |
| Power | — | 3.96% |
| Consumer Services | — | 3.61% |
Active bets vs the average Index fund. Biggest deviations shown first.
Accent bar = fund's actual sector weight. Vertical black tick = category average for the same sector. Green overlay = overweight, dashed red = underweight. The biggest active bets show first.
How crowded into the same stocks is this fund vs the largest fund in its category?
Category leader = highest-AUM scheme in the same SEBI category. A high overlap-of-weight number means the fund is concentrated into the same names as the leader (crowded); a low one means it's genuinely differentiated.
| P75 |
|---|
| Max |
|---|
| Positive % |
|---|
| 1Y | -3.37% | 0.37% | 1.61% | 6.43% | 12.29% | 77.6% |
Each cell is one year. Q1 = top quartile within the AMFI category for that period. Cell label is the last two digits of the year.
Top-10 weight 29.2% means the portfolio is broad — even the top names don't dominate. Effective-N is the inverse Herfindahl index — a measure of "how many positions effectively drive the fund" after weighting. Category: Index.
Compounding maths on a notional ₹10 lakh lumpsum at 12% gross annual return. Green bar is what you'd have without the fee; red overlay is the fee drag. Fee is constant in this scenario — actual outcomes depend on real returns and any future TER changes.
What an investor SIPping into this fund actually got during named market shocks.
Each row is a back-tested SIP — monthly contribution over the regime's duration, no fees adjustment beyond NAV-baked TER. XIRR is the annualised IRR of those cashflows; Abs return is the absolute cash-on-cash; Max DD is the deepest drawdown experienced mid-investment. Past performance is not indicative of future results.
Alpha is the annualised excess return vs benchmark over the manager's tenure on this scheme. Beat-benchmark = total return beat the index over the same window.
Does the fund get worse as it gets bigger? Each dot is one historical manager-tenure: AUM at tenure-end vs alpha delivered during that tenure.
Correlation is too weak to confirm or rule out capacity-driven alpha decay. Re-evaluate as more manager-tenure data accumulates.
Each dot is one manager-tenure: X = AUM at tenure end, Y = alpha during that tenure. Connecting line in chronological order. Pearson r measures the linear relationship between AUM and alpha across the historical record. n = 2 data points.