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AMOM vs. INDF
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AMOM vs. INDF - Performance Comparison

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

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Returns By Period


AMOM

1D
-4.33%
1M
5.97%
YTD
26.78%
6M
24.27%
1Y
40.35%
3Y*
26.54%
5Y*
11.70%
10Y*

INDF

1D
1M
YTD
6M
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

AMOM vs. INDF - Yearly Performance Comparison


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

Correlation

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

AMOM vs. INDF - Sectors Allocation Comparison


Sectors
AMOM
INDF

Technology

50.2%

-

Industrials

21.9%

-

Energy

11.8%

-

Healthcare

7.7%

-

Communication Services

7.4%

-

Financial Services

6.2%
100.0%

Consumer Defensive

5.0%

-

Basic Materials

4.6%

-

Consumer Cyclical

3.0%

-

Real Estate

1.9%

-

Utilities

1.1%

-

Technology

AMOM
50.2%
INDF

-

Industrials

AMOM
21.9%
INDF

-

Energy

AMOM
11.8%
INDF

-

Healthcare

AMOM
7.7%
INDF

-

Communication Services

AMOM
7.4%
INDF

-

Financial Services

AMOM
6.2%
INDF
100.0%

Consumer Defensive

AMOM
5.0%
INDF

-

Basic Materials

AMOM
4.6%
INDF

-

Consumer Cyclical

AMOM
3.0%
INDF

-

Real Estate

AMOM
1.9%
INDF

-

Utilities

AMOM
1.1%
INDF

-

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Return for Risk

AMOM vs. INDF — Risk / Return Rank

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

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

INDF

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

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.

AMOM vs. INDF - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for QRAFT AI-Enhanced U.S. Large Cap Momentum ETF (AMOM) and Nifty India Financials ETF (INDF). 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.


AMOMINDFDifference
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

AMOM vs. INDF - Sharpe Ratio Comparison


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Drawdowns

AMOM vs. INDF - Drawdown Comparison


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Drawdown Indicators


AMOMINDFDifference

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

AMOM vs. INDF - Volatility Comparison


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Volatility by Period


AMOMINDFDifference

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%

AMOM vs. INDF - Expense Ratio Comparison

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


Dividends

AMOM vs. INDF - Dividend Comparison

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


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


AMOM and INDF 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.

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

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

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

Portfolio Optimizer

Find the right allocation for AMOM and INDF

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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