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INDF vs. AMOM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

INDF vs. AMOM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Nifty India Financials ETF (INDF) and QRAFT AI-Enhanced U.S. Large Cap Momentum ETF (AMOM). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


INDF

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*

AMOM

1D
-4.33%
1M
5.97%
YTD
26.78%
6M
24.27%
1Y
40.35%
3Y*
26.54%
5Y*
11.70%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

INDF vs. AMOM - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
INDF
Nifty India Financials ETF
0.00%8.17%6.32%19.86%-5.28%11.95%24.44%
AMOM
QRAFT AI-Enhanced U.S. Large Cap Momentum ETF
26.78%7.69%35.79%27.06%-26.29%13.08%8.43%

Correlation

The correlation between INDF and AMOM is -0.02, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

-0.02

Correlation (3Y)
Calculated over the trailing 3-year period

0.24

Correlation (5Y)
Calculated over the trailing 5-year period

0.36

Correlation (All Time)
Calculated using the full available price history since Oct 21, 2020

0.35

The correlation between INDF and AMOM shifts across timeframes, from -0.02 (1 year) to 0.36 (5 years), reflecting how their relationship changes across market environments.

INDF vs. AMOM - Sectors Allocation Comparison


Sectors
INDF
AMOM

Financial Services

100.0%
6.2%

Basic Materials

-

4.6%

Communication Services

-

7.4%

Consumer Cyclical

-

3.0%

Consumer Defensive

-

5.0%

Energy

-

11.8%

Healthcare

-

7.7%

Industrials

-

21.9%

Real Estate

-

1.9%

Technology

-

50.2%

Utilities

-

1.1%

Financial Services

INDF
100.0%
AMOM
6.2%

Basic Materials

INDF

-

AMOM
4.6%

Communication Services

INDF

-

AMOM
7.4%

Consumer Cyclical

INDF

-

AMOM
3.0%

Consumer Defensive

INDF

-

AMOM
5.0%

Energy

INDF

-

AMOM
11.8%

Healthcare

INDF

-

AMOM
7.7%

Industrials

INDF

-

AMOM
21.9%

Real Estate

INDF

-

AMOM
1.9%

Technology

INDF

-

AMOM
50.2%

Utilities

INDF

-

AMOM
1.1%

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Return for Risk

INDF vs. AMOM — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

INDF

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


AMOM
AMOM Risk / Return Rank: 5555
Overall Rank
AMOM Sharpe Ratio Rank: 5252
Sharpe Ratio Rank
AMOM Sortino Ratio Rank: 4747
Sortino Ratio Rank
AMOM Omega Ratio Rank: 4949
Omega Ratio Rank
AMOM Calmar Ratio Rank: 6565
Calmar Ratio Rank
AMOM Martin Ratio Rank: 6262
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

INDF vs. AMOM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Nifty India Financials ETF (INDF) and QRAFT AI-Enhanced U.S. Large Cap Momentum ETF (AMOM). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.

Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.


INDFAMOMDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.30

Calmar ratioReturn relative to maximum drawdown

3.09

Martin ratioReturn relative to average drawdown

10.70

INDF vs. AMOM - Sharpe Ratio Comparison


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Drawdowns

INDF vs. AMOM - Drawdown Comparison


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Drawdown Indicators


INDFAMOMDifference

Max Drawdown

Largest peak-to-trough decline

-39.68%

Max Drawdown (1Y)

Largest decline over 1 year

-13.10%

Max Drawdown (3Y)

Largest decline over 3 years

-30.26%

Max Drawdown (5Y)

Largest decline over 5 years

-39.68%

Current Drawdown

Current decline from peak

-4.33%

Average Drawdown

Average peak-to-trough decline

-10.75%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.78%

Volatility

INDF vs. AMOM - Volatility Comparison


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Volatility by Period


INDFAMOMDifference

Volatility (1M)

Calculated over the trailing 1-month period

12.24%

Volatility (6M)

Calculated over the trailing 6-month period

19.66%

Volatility (1Y)

Calculated over the trailing 1-year period

24.29%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.26%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

25.22%

INDF vs. AMOM - Expense Ratio Comparison

Both INDF and AMOM have an expense ratio of 0.75%.


Dividends

INDF vs. AMOM - Dividend Comparison

INDF has not paid dividends to shareholders, while AMOM's dividend yield for the trailing twelve months is around 0.07%.


PositionTTM2025202420232022202120202019
AMOM
QRAFT AI-Enhanced U.S. Large Cap Momentum ETF
0.07%0.09%0.00%0.47%0.72%0.74%24.31%5.51%
INDF
Nifty India Financials ETF
21.29%21.29%6.15%8.84%3.12%1.58%0.00%0.00%

Frequently Asked Questions


INDF and AMOM have a correlation of -0.02, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

Both ETFs have the same 0.75% expense ratio. The better choice depends on whether you care most about return, fees, risk, or income.

INDF and AMOM have the same expense ratio: 0.75% per year.

INDF has the higher dividend yield at 21.29%, compared with 0.07% for AMOM.

INDF is categorized as Financials Equities, while AMOM is Momentum.

Portfolio Optimizer

Find the right allocation for INDF and AMOM

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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