NIFTY 50loading...

SENSEXloading...

NIFTY 200loading...

NIFTY MIDCAP 150loading...

NIFTY SMLCAP 250loading...

USD/INRloading...

IDCW Active

Mirae Asset Nifty 500 Healthcare ETF

Mirae Asset Mutual Fund · AMFI: 154169 · ISIN: INF769K01QA6

Latest NAV

₹21.8085

as of Nov. 4, 2026

1Y: +25.87%

3Y: +25.87%

⚖️ Compare ⭐ Watchlist

📄 Get Research Report

Fund Information

05 Nov 2026 · captnemo

Fund House

Mirae Asset Mutual Fund

Category

Exchange Traded Funds (ETFs) - Equity ETF

AUM

—

Expense Ratio

—

Min SIP

—

Min Lumpsum

—

Fund Start Date

11 Feb 2026

Lock-in Period

None

💰 Fund AUM Trend

Current: —

Trailing Returns

Full Analysis →

Period	Fund	Benchmark	Cat Min	Cat Avg	Cat Max	Excess vs BM	Excess vs Cat
1W	551.82%	66.78%	—	—	—	485.04%	—
1M	72.58%	-1.66%	—	—	—	74.24%	—
3M	2.50%	-27.05%	—	—	—	29.55%	—
6M	22.89%	-10.07%	—	—	—	32.96%	—
1Y	25.87%	-5.17%	-18.68%	14.57%	101.40%	31.04%	11.30%
2Y	25.87%	-5.17%	—	—	—	31.04%	—
3Y	25.87%	-5.17%	-47.28%	13.63%	42.13%	31.04%	12.24%
5Y	25.87%	-5.17%	-31.90%	9.80%	30.53%	31.04%	16.07%
7Y	25.87%	-5.17%	—	—	—	31.04%	—
10Y	25.87%	-5.17%	—	—	—	31.04%	—
SI	25.87%	-10.48%	—	—	—	36.35%	—

Risk Snapshot (3Y)

Sharpe Ratio

1.37 (cat: -0.53)

Max Drawdown

-9.62% (cat: -22.59%)

Std Dev (Ann)

14.14% (cat: 18.3%)

Beta

0.57 (cat: 0.82)

Other ETFs · 315 funds · Avg Score: 42/100 · Category Meter →

NAV History

Trailing Returns (CAGR)

Period	Fund	Benchmark	Cat Min	Cat Avg	Cat Max	Excess vs BM	Excess vs Cat
1W	551.82%	66.78%	—	—	—	485.04%	—
1M	72.58%	-1.66%	—	—	—	74.24%	—
3M	2.50%	-27.05%	—	—	—	29.55%	—
6M	22.89%	-10.07%	—	—	—	32.96%	—
1Y	25.87%	-5.17%	-18.68%	14.57%	101.40%	31.04%	11.30%
2Y	25.87%	-5.17%	—	—	—	31.04%	—
3Y	25.87%	-5.17%	-47.28%	13.63%	42.13%	31.04%	12.24%
5Y	25.87%	-5.17%	-31.90%	9.80%	30.53%	31.04%	16.07%
7Y	25.87%	-5.17%	—	—	—	31.04%	—
10Y	25.87%	-5.17%	—	—	—	31.04%	—
SI	25.87%	-10.48%	—	—	—	36.35%	—

Trailing Returns Chart

Calendar Year Returns

Rolling Return Statistics

All rolling windows vs benchmark — full history

Rolling returns not computed yet.

Rolling Return Calculator

Inception: Feb. 11, 2026 · Latest NAV: —

Rolling Window

Start Date

End Date

Rolling Returns Distribution (All Windows)

Bar = mean, error bar = min/max. BM shown beside. Right axis = % of periods beating BM.

🧮 SIP Simulator

Monthly SIP Amount (₹)

Investment Period (Years)

10 yrs

Enter values and click Calculate.

💰 Lumpsum Simulator

One-time Investment (₹)

Investment Period (Years)

10 yrs

Enter values and click Calculate.

Risk Metrics — 3 Years

Category Avg (Other ETFs) · Std Dev: 18.26% · Sharpe: -0.53 · Sortino: -1.30 · Max DD: -22.59%

Std Dev (Ann %)

14.14% (cat: 18.3%)

Sharpe Ratio

1.37 (cat: -0.53)

Sortino Ratio

2.06 (cat: -1.30)

Max Drawdown %

-9.62% (cat: -22.59%)

Beta

0.57 (cat: 0.82)

Alpha (Ann %)

28.96% (cat: 11.03)

R-Squared %

39.94%

Tracking Error %

12.55%

Info Ratio

2.88

Upside Capture %

69.8%

Downside Capture %

41.1%

Risk-Free Rate Used

6.50%

Risk Metrics — 5 Years

Category Avg (Other ETFs) · Std Dev: 18.03% · Sharpe: -0.93 · Sortino: -2.00 · Max DD: -22.56%

Std Dev (Ann %)

14.14% (cat: 18.0%)

Sharpe Ratio

1.37 (cat: -0.93)

Sortino Ratio

2.06 (cat: -2.00)

Max Drawdown %

-9.62% (cat: -22.56%)

Beta

0.57

Alpha (Ann %)

28.96%

R-Squared %

39.94%

Tracking Error %

12.55%

Info Ratio

2.88

Upside Capture %

69.8%

Downside Capture %

41.1%

Benchmark

NIFTY 500

Market Volatility Measures (3Y)

Upside Capture

69.8%

Downside Capture

41.1%

Max Drawdown

-9.62%

Quarterly Performance Analysis (Top 5 & Worst 5)

📈 Upside Quarters (Top 5)

Quarter	Fund	Benchmark
Q1 2026	17.15%	12.02%
Q3 2026	3.16%	-0.59%
Q2 2026	1.00%	-4.02%

Total 3 upside quarter(s)

📉 Downside Quarters (Worst 5)

Quarter	Fund	Benchmark
No downside quarters found

Total 0 downside quarter(s)

Year-wise Risk Metrics

Year	Fund CAGR	BM CAGR	Alpha	Beta	Sharpe	Sortino	Max DD	Upside Cap	Downside Cap
2026^*	25.87%	-5.29%	28.96%	0.57	1.37	2.06	-9.62%	69.8%	41.1%

* Partial year

Drawdown Chart

Crisis Period Behaviour

"Pre-inception" = fund didn't exist during that period. Hover the ⓘ on each card for how to interpret it.

Pre-inception

2018 IL&FS

—

Aug 2018 → Oct 2018

Pre-inception

COVID-19

—

Jan 2020 → Mar 2020

Pre-inception

2008 GFC

—

Jan 2008 → Mar 2009

Pre-inception

2022 Rate Hike

—

Jan 2022 → Jun 2022

Pre-inception

2015-16 China

—

Mar 2015 → Feb 2016

Pre-inception

2024-25 Tariff

—

Sep 2024 → Apr 2025

📖 How to interpret these numbers

0% or positive — Held up during crash (exceptional)

0% to -15% — Mild damage, manageable drawdown

Below -15% — Significant hit; check recovery speed

Recovery label — Months from trough back to pre-crash peak

Market Regime Analysis

Reading the cards: ≥15% Excellent 5–15% Good 0–5% Muted <0% Lost money | Click ▼ Per-window on any card to see each individual time window

📈 Bull Market

Strong sustained uptrend (>20% from lows)

No data — fund not active in this regime

📉 Bear Market

Sustained decline >20% from recent highs

No data — fund not active in this regime

↔️ Sideways / Consolidation

Range-bound market, low trend conviction

No data — fund not active in this regime

🔥 High Inflation Period

CPI/WPI elevated >6%; RBI tightening

No data — fund not active in this regime

✂️ Rate Cut Cycle

RBI cutting repo rate; liquidity supportive

No data — fund not active in this regime

ℹ️ Regime windows are approximations based on Nifty 50 price action and RBI policy dates. Returns shown are fund NAV CAGR within covered dates only.

⚠️ Benchmark Note: Index data shown is Price Index, not TRI (Total Return Index). TRI includes dividends and is typically 1-2% higher annually. SEBI mandates TRI for official benchmark comparison.

Sector Allocation

Healthcare

98.7%

Basic Materials

1.3%

Weightage by Market Cap

Large Cap 1.22%

Mid Cap 3.77%

Small Cap 9.27%

Asset Allocation

Debt 0.00%

Cash 0.04%

Other 0.00%

Portfolio Summary

Total Holdings

45

Top 10 Weight

0.60%

Portfolio Turnover

—

Top Holdings

As of Sep 2026

#	Security	Sector	Weight %	Fwd P/E
1	Sun Pharmaceuticals Industries Ltd INE044A01036	Healthcare	0.10%	28.6x
2	Divi's Laboratories Ltd INE361B01024	Healthcare	0.09%	—
3	Apollo Hospitals Enterprise Ltd INE437A01024	Healthcare	0.06%	—
4	Laurus Labs Ltd INE947Q01028	Healthcare	0.06%	—
5	Cipla Ltd INE059A01026	Healthcare	0.06%	—
6	Dr Reddy's Laboratories Ltd INE089A01031	Healthcare	0.06%	31.3x
7	Torrent Pharmaceuticals Ltd INE685A01028	Healthcare	0.05%	—
8	Max Healthcare Institute Ltd Ordinary Shares INE027H01010	Healthcare	0.05%	—
9	Lupin Ltd INE326A01037	Healthcare	0.04%	—
10	Aurobindo Pharma Ltd INE406A01037	Healthcare	0.03%	—
11	Fortis Healthcare Ltd INE061F01013	Healthcare	0.03%	—
12	Glenmark Pharmaceuticals Ltd INE935A01035	Healthcare	0.03%	—
13	Alkem Laboratories Ltd INE540L01014	Healthcare	0.02%	—
14	Zydus Lifesciences Ltd INE010B01027	Healthcare	0.02%	—
15	Mankind Pharma Ltd INE634S01028	Healthcare	0.02%	37.7x
16	Ipca Laboratories Ltd INE571A01038	Healthcare	0.02%	—
17	Biocon Ltd INE376G01013	Healthcare	0.02%	—
18	Gland Pharma Ltd INE068V01023	Healthcare	0.02%	—
19	Sai Life Sciences Ltd INE570L01029	Healthcare	0.02%	—
20	Krishna Institute of Medical Sciences Ltd INE967H01025	Healthcare	0.01%	—
21	Aster DM Quality Care Ltd Ordinary Shares INE914M01019	Healthcare	0.01%	—
22	Neuland Laboratories Ltd INE794A01010	Healthcare	0.01%	—
23	Wockhardt Ltd INE049B01025	Healthcare	0.01%	—
24	Acutaas Chemicals Ltd INE00FF01025	Basic Materials	0.01%	—
25	Ajanta Pharma Ltd INE031B01049	Healthcare	0.01%	—
26	Dr. Lal PathLabs Ltd INE600L01024	Healthcare	0.01%	—
27	Abbott India Ltd INE358A01014	Healthcare	0.01%	—
28	Piramal Pharma Ltd INE0DK501011	Healthcare	0.95%	—
29	Granules India Ltd INE101D01020	Healthcare	0.93%	—
30	Narayana Hrudayalaya Ltd INE410P01011	Healthcare	0.92%	—
31	Global Health Ltd INE474Q01031	Healthcare	0.90%	—
32	OneSource Specialty Pharma Ltd INE013P01021	Healthcare	0.89%	—
33	GlaxoSmithKline Pharmaceuticals Ltd INE159A01016	Healthcare	0.85%	—
34	Anthem Biosciences Ltd INE0CZ201020	Healthcare	0.69%	—
35	Emcure Pharmaceuticals Ltd INE168P01015	Healthcare	0.60%	—
36	Natco Pharma Ltd INE987B01026	Healthcare	0.55%	—
37	Cohance Lifesciences Ltd INE03QK01018	Healthcare	0.54%	—
38	Vijaya Diagnostic Centre Ltd INE043W01024	Healthcare	0.52%	—
39	Syngene International Ltd INE398R01022	Healthcare	0.51%	—
40	Rainbow Childrens Medicare Ltd INE961O01016	Healthcare	0.49%	—
41	Poly Medicure Ltd INE205C01021	Healthcare	0.47%	—
42	Rubicon Research Ltd INE506V01022	Healthcare	0.43%	—
43	Caplin Point Laboratories Ltd INE475E01026	Healthcare	0.40%	—
44	Concord Biotech Ltd INE338H01029	Healthcare	0.34%	—
45	Treps	cashAndEquivalents	0.13%	—

Costs & Fees

Category Avg (Other ETFs) · Expense Ratio: 0.21% (median: 0.11%)

Expense Ratio

— (cat avg: 0.21%)

Portfolio Turnover

—

CRISIL Rating

—

Kuvera Rating

—

Investment Rules

Min Lumpsum

—

Min Additional

—

Min SIP

—

SIP Available

✅ Yes

Lock-in Period

None

Redemption Allowed

✅ Yes

Tax Treatment

Equity Fund Tax Rules
• STCG (held <12 months): 20% flat
• LTCG (held >12 months): 12.5% on gains above ₹1.25 lakh
• ELSS: 3-year lock-in applies; LTCG rules apply

Benchmark

NIFTY 500

SEBI-assigned category benchmark for this fund type.

Source: database

⚠️ Data shown is Price Index, not TRI. TRI returns are typically 1-2% higher annually.

Named manager data is not exposed by the available on-demand sources for this fund.

Management Context

Fund House	Mirae Asset Mutual Fund
Inception / First NAV	Feb. 11, 2026
AUM	-
Expense Ratio	-
Portfolio Turnover	-
Rating	-
Benchmark	NIFTY 500
Data Source	captnemo

Portfolio Managed

Holdings Used

45

mstarpy

Sectors

2

Portfolio view

3Y Sharpe

1.37

NAV computed

3Y Drawdown

-9.6%

NAV computed

Investment objective is not exposed by the current metadata provider for this fund.

Computing fund scorecard & factor breakdown…

🏅 Score & Category Rank Trend

Historical tracking of model quantitative score and category standing over time.

🎛️

Personalized Ranking Scorecard

Dynamic Multi-Factor

Tailor the scoring model to your investment style. Choose an investor archetype or customize weights across Stability, Consistency, Recency, and Cost.

Personalized Score

Baseline (Default Model)

Category Rank

—

📊 Factor Breakdown (Stability · Consistency · Recency · Cost)

🛡️ Stability

—

Weight: 25% Contribution: +0.0 pts

🎯 Consistency

—

Weight: 25% Contribution: +0.0 pts

⚡ Recency

—

Weight: 25% Contribution: +0.0 pts

💰 Cost

—

Weight: 25% Contribution: +0.0 pts

🕸️ Multi-Factor Radar vs Category Benchmark

SEBI Category: Other ETFs

Factor	Fund Score	Cat. Avg	Gap vs Cat	Your Weight

🧮 Score Composition & Mathematical Transparency

Visual Point Contribution to Final Score:

Loading calculation formula…

Category Score Distribution — Other ETFs

315 funds · Avg score: 42/100

12%

14%

29%

46%

Strong (≥75) Good (55–74) Fair (40–54) Weak/Poor (<40)

🚩 Red Flags

Loading…

📖 How We Score — Methodology & Model Notes

Show ▼

⚠️ Important Disclaimer: This scorecard is generated automatically using a quantitative model based on historical data. It is not investment advice. Past performance does not guarantee future results. Always consult a SEBI-registered financial advisor before making investment decisions. This tool is for educational and informational purposes only.

Loading peer funds in the same category…

Loading NAV history for analysis…

🔍 Real-Time Technical Pattern & Divergence Signals

⚡ Real-Time Scanner Active

SMA 50 / 200 Cross

Analyzing…

50D vs 200D Simple Moving Average

RSI (14D) Divergence

Scanning…

Price vs Momentum Oscillator

MACD (12, 26, 9) Momentum

Evaluating…

Fast vs Signal Line Momentum

ADX Trend Strength

Calculating…

Directional Movement System

🚀 All-Time & Multi-Year Range Barometer

Analyzing Price Channel…

All-Time High (ATH) Peak

₹—

Peak Date: —

—

All-Time Low (ATL) Inception/Base

₹—

Trough Date: —

—

52-Week (1Y) Channel —%

₹— – ₹—

Position in 52W Channel

—

3-Year Channel —%

₹— – ₹—

3-Year Low & High Bounds

—

5-Year Channel —%

₹— – ₹—

5-Year Low & High Bounds

—

📍 Visual NAV Position Across Timeframe Channels Current NAV: ₹—

52-Week Low: ₹— (—) 52W Channel (—% of range) 52-Week High: ₹— (—)

+—% from Low —% from High

3-Year Low: ₹— (—) 3Y Channel (—% of range) 3-Year High: ₹— (—)

+—% from Low —% from High

5-Year Low: ₹— (—) 5Y Channel (—% of range) 5-Year High: ₹— (—)

+—% from Low —% from High

💡 Compounding Asset vs Order-Book Mechanics

A mutual fund's NAV is not a stock price driven by order-book bid/ask resistance. Rather, it represents the net book value of a diversified portfolio. As underlying companies generate corporate earnings, pay dividends, and compound cash flows, NAV naturally reaches new All-Time Highs year after year. Being at ATH is a healthy hallmark of secular compounding.

🛑 The "Waiting for a Dip" Timing Fallacy

Retail investors frequently pause investing when a fund reaches an ATH, hoping for a correction. Historical empirical data proves that in compounding equity funds, waiting on the sidelines causes severe cash drag and missed dividend reinvestment. Entering at an ATH historically delivers virtually identical 5-year rolling returns compared to trying to time 5–10% dips.

🧭 Historical Deployment Framework (SIP vs Lumpsum)

Systematic Allocation: Regular monthly SIP schedules utilize rupee-cost averaging to acquire units across market cycles without market timing.
Phased Capital Staging: When NAV trades near historical peaks, institutional literature often favors staggered deployment (e.g. 3–6 month STP). During severe drawdowns (>15% from ATH), margin of safety increases historically.

Signal Summary

Timeframe:

Oscillators

—

— Bear · — Neu · — Bull

Overall Summary

—

— Bear · — Neu · — Bull

Moving Averages

—

— Bear · — Neu · — Bull

Oscillators

Name	Value	Signal

Moving Averages

Indicator	Value	Signal

Pivot Points (30-Day High/Low)

Level	Classic	Fibonacci	Camarilla	Woodie	DeMark

Interactive NAV Chart & Overlays

Overlays: SMA 20 SMA 50 SMA 200 EMA 12 EMA 26 Bollinger Bands Support/Resistance

BB: period, σ RSI: period

Sub-chart Panels: MACD (12,26,9) RSI (14D)

MACD Oscillator (12, 26, 9)

Relative Strength Index (RSI 14D)

Quantitative Risk Metrics

Period-Wise Value at Risk (VaR) & Expected Shortfall (CVaR)

Underwater (Drawdown) Chart

💡 How Monte Carlo Simulation Works & How to Interpret

⚙️ Simulation Methodology

Monte Carlo simulation projects future NAV paths without assuming a rigid normal distribution:

Historical Bootstrap Resampling: Randomly samples from actual daily historical returns, preserving fat tails, skewness, and market crash jumps.
500 Simulated Trajectories: Generates 500 parallel future NAV paths over 1-Year (252D), 3-Year (756D), or 5-Year (1260D) horizons.
Percentile Distribution Analysis: Sorts simulated NAVs at each future day to compute the 95th, 75th, 50th (median), 25th, and 5th percentile bands.

🎯 Percentile Fan & Goal Planning Guide

95th Percentile 🟢 : Bull Case Scenario — Top 5% optimistic outcome during strong bull market rallies.

75th Percentile 🔵 : Above-Average Path — Favourable growth trajectory assuming positive market conditions.

50th Percentile ⚪ : Median Expected NAV — Central 50/50 baseline expectation for financial goal calculations.

25th Percentile 🟧 : Below-Average Path — Mild correction scenario. Good benchmark for conservative SIP planning.

5th Percentile 🔴 : Bear Case Scenario — Bottom 5% severe crash outcome. Essential for stress-testing emergency capital.

💡 Actionable Tip: For critical financial goals (e.g., child education or home down payment), ensure your required target corpus is met by at least the 25th percentile path, not just the 50th median.

Monte Carlo Simulation

95th (Optimistic) 75th 50th (Median) 25th 5th (Pessimistic)

Multi-Factor Composite Quant Signal Score

💡 How the Quant Signal Engine Works & How to Interpret

⚙️ Mathematical Methodology

The Signal Engine processes daily NAV history through 5 weighted quantitative factor pillars:

Trend & Momentum (20%): SMA20/50/200 alignment + 1M/3M/6M price momentum.
Technical Oscillators (20%): RSI(14), MACD histogram, and Bollinger %B mean-reversion.
Forecast Model Consensus (25%): Ensemble, Holt, ARIMA, XGBoost, & Direction Classifiers (% Bullish).
Volatility & Tail Risk (20%): ATR volatility regime, GARCH(1,1) forecast, and 95% CVaR tail risk.
Return Consistency (15%): Fraction of positive monthly returns over past 12 months.

🎯 Score Scale & Decision Guide

85 – 100 : Strong Bullish Conviction 🟢 — Multi-model alignment, strong trend & low tail risk. Favourable for lumpsum/SIP.

65 – 84 : Favourable Outlook 🔵 — Positive momentum and bullish forecast consensus with manageable volatility.

45 – 64 : Neutral / Mixed 🟡 — Sideways trend or model divergence. Ideal for steady SIP accumulation.

25 – 44 : Cautious 🟧 — Negative momentum or rising GARCH volatility. Defer large lumpsum entry.

0 – 24 : Bearish / High Tail Risk 🔴 — Downtrend alignment and high 95% CVaR crash vulnerability. Risk-off caution.

ℹ️ Note: The Composite Quant Score is strictly data-driven based on historical price patterns and statistical models. It does not account for qualitative macroeconomic news, manager changes, or portfolio sector holdings.

🧪 StrategyLab™ Strategy Validation & Reality Engine

Discover what trading, timing, and holding strategies actually work best for Mirae Asset Nifty 500 Healthcare ETF.

Horizon: Capital: ₹

📈 Strategy Equity Growth Trajectory (Simulated Wealth Creation)

🏆 StrategyLab Leaderboard & Empirical Accuracy Matrix

Rank & Strategy	Category	Final Value (₹)	Total Return	CAGR	Win Rate	Max Drawdown	Sharpe	Alpha vs B&H	StrategyLab Score	Backtest Profile

💡 How StrategyLab™ Backtesting Works & Strategy Insights

🧠 Machine Learning & AI Strategies

🏆 Multi-Model Ensemble: Requires consensus from at least 3 algorithmic models to trigger an investment position, filtering false breakouts.
XGBoost / LightGBM ML: Uses multi-lag return gradients and volatility features to detect non-linear momentum regimes.
LSTM & Deep Neural Nets: Evaluates long-range temporal sequence dependencies over past market cycles.

📊 Technical & Benchmark Strategies

SMA Golden/Death Cross: Trend-following filter. Switches to 6% p.a. liquid debt cash during death cross bear markets.
RSI & Bollinger Mean-Reversion: Accumulates aggressively during panic dips and secures gains at overbought bounds.
Buy & Hold Baseline: Standard continuous investment benchmark for measuring net alpha generated.

🛡️ Note: Simulated strategy cash balances earn a realistic 6.0% p.a. liquid/overnight rate when out of the market. Past backtest alpha does not guarantee future results.