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HACK vs. SPAM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

HACK vs. SPAM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Amplify Cybersecurity ETF (HACK) and Themes Cybersecurity ETF (SPAM). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

The year-to-date returns for both investments are quite close, with HACK having a 32.87% return and SPAM slightly higher at 33.96%.


HACK

1D
1.20%
1M
-0.17%
6M
38.24%
YTD
32.87%
1Y
28.11%
3Y*
26.69%
5Y*
11.45%
10Y*
15.86%
ALL TIME*
13.64%

SPAM

1D
1.63%
1M
-2.56%
6M
34.94%
YTD
33.96%
1Y
31.93%
3Y*
5Y*
10Y*
ALL TIME*
21.07%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$20.39M$24.21M$17.68M
$48.61K$58.13K$116.83K

HACK vs. SPAM - Yearly Performance Comparison


2026 (YTD)202520242023
HACK
Amplify Cybersecurity ETF
32.87%7.97%23.49%5.37%
SPAM
Themes Cybersecurity ETF
33.96%4.86%10.58%6.74%

Correlation

The correlation between HACK and SPAM is 0.90, meaning they have usually moved in the same direction, including during past declines.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.90

Correlation (All Time)
Calculated using the full available price history since Dec 8, 2023

0.89

The correlation between HACK and SPAM has been stable across timeframes, ranging from 0.89 to 0.90 - a consistent structural relationship.

HACK vs. SPAM - Sectors Allocation Comparison


Sectors
HACK
SPAM

Technology

89.7%
89.9%

Industrials

9.9%
3.4%

Financial Services

0.3%
0.1%

Basic Materials

-

-

Communication Services

-

6.4%

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Real Estate

-

0.3%

Utilities

-

-

Technology

HACK
89.7%
SPAM
89.9%

Industrials

HACK
9.9%
SPAM
3.4%

Financial Services

HACK
0.3%
SPAM
0.1%

Basic Materials

HACK

-

SPAM

-

Communication Services

HACK

-

SPAM
6.4%

Consumer Cyclical

HACK

-

SPAM

-

Consumer Defensive

HACK

-

SPAM

-

Energy

HACK

-

SPAM

-

Healthcare

HACK

-

SPAM

-

Real Estate

HACK

-

SPAM
0.3%

Utilities

HACK

-

SPAM

-

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Return for Risk

HACK vs. SPAM — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

HACK
HACK Risk / Return Rank: 3737
Overall Rank
HACK Sharpe Ratio Rank: 3838
Sharpe Ratio Rank
HACK Sortino Ratio Rank: 3838
Sortino Ratio Rank
HACK Omega Ratio Rank: 3737
Omega Ratio Rank
HACK Calmar Ratio Rank: 3737
Calmar Ratio Rank
HACK Martin Ratio Rank: 3232
Martin Ratio Rank

SPAM
SPAM Risk / Return Rank: 3838
Overall Rank
SPAM Sharpe Ratio Rank: 4141
Sharpe Ratio Rank
SPAM Sortino Ratio Rank: 4242
Sortino Ratio Rank
SPAM Omega Ratio Rank: 3939
Omega Ratio Rank
SPAM Calmar Ratio Rank: 3636
Calmar Ratio Rank
SPAM Martin Ratio Rank: 3030
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

HACK vs. SPAM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Amplify Cybersecurity ETF (HACK) and Themes Cybersecurity ETF (SPAM). 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.


HACKSPAMDifference
Sharpe ratioReturn per unit of total volatility

-0.08

Sortino ratioReturn per unit of downside risk

-0.10

Omega ratioGain probability vs. loss probability

1.18

1.19

-0.01

Calmar ratioReturn relative to maximum drawdown

1.26

1.23

+0.03

Martin ratioReturn relative to average drawdown

2.95

2.68

+0.27

HACK vs. SPAM - Sharpe Ratio Comparison

The current HACK Sharpe Ratio is 0.95, which is comparable to the SPAM Sharpe Ratio of 1.03. The chart below compares the historical Sharpe Ratios of HACK and SPAM, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Drawdowns

HACK vs. SPAM - Drawdown Comparison

The maximum HACK drawdown since its inception was -42.68%, which is greater than SPAM's maximum drawdown of -24.02%. Use the drawdown chart below to compare losses from any high point for HACK and SPAM.


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Drawdown Indicators


HACKSPAMDifference

Max Drawdown

Largest peak-to-trough decline

-42.68%

-24.02%

-18.66%

Max Drawdown (1Y)

Largest decline over 1 year

-20.67%

-24.02%

+3.35%

Max Drawdown (3Y)

Largest decline over 3 years

-21.90%

Max Drawdown (5Y)

Largest decline over 5 years

-38.68%

Max Drawdown (10Y)

Largest decline over 10 years

-38.68%

Current Drawdown

Current decline from peak

-6.56%

-6.87%

+0.31%

Average Drawdown

Average peak-to-trough decline

-11.55%

-6.51%

-5.04%

Ulcer Index

Depth and duration of drawdowns from previous peaks

8.81%

10.97%

-2.16%

Volatility

HACK vs. SPAM - Volatility Comparison

Amplify Cybersecurity ETF (HACK) and Themes Cybersecurity ETF (SPAM) have volatilities of 8.88% and 8.48%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


HACKSPAMDifference

Volatility (1M)

Calculated over the trailing 1-month period

8.88%

8.48%

+0.40%

Volatility (6M)

Calculated over the trailing 6-month period

23.39%

24.09%

-0.70%

Volatility (1Y)

Calculated over the trailing 1-year period

27.37%

28.57%

-1.20%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.64%

25.04%

-0.40%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.36%

25.04%

-1.68%

HACK vs. SPAM - Expense Ratio Comparison

HACK has a 0.60% expense ratio, which is higher than SPAM's 0.35% expense ratio.


Dividends

HACK vs. SPAM - Dividend Comparison

HACK's dividend yield for the trailing twelve months is around 0.06%, less than SPAM's 0.37% yield.


PositionTTM2025202420232022202120202019201820172016
HACK
Amplify Cybersecurity ETF
0.06%0.07%0.14%0.20%0.24%0.26%1.11%0.14%0.09%0.01%1.23%
SPAM
Themes Cybersecurity ETF
0.37%0.49%0.13%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


HACK and SPAM have a correlation of 0.90, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

HACK has higher volatility (8.88%) compared to SPAM (8.48%). In terms of maximum drawdown, HACK dropped -42.68% vs SPAM's -24.02%.

On 1-year performance, SPAM leads with 31.93% vs 28.11% for HACK. On fees, SPAM is cheaper at 0.35% per year. On volatility, SPAM has been the lower-risk option at 8.48%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, SPAM has performed better with a 31.93% return vs 28.11%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SPAM is cheaper with a 0.35% expense ratio, compared with 0.60% for HACK.

SPAM has the higher dividend yield at 0.37%, compared with 0.06% for HACK.

HACK tracks Nasdaq ISE Cyber Security Select Index, while SPAM tracks Solactive Cyber Security Index - Benchmark TR Net. They also come from different issuers: Amplify and Themes. Their fees differ too: 0.60% for HACK and 0.35% for SPAM.

SPAM currently has the higher Sharpe Ratio (1.03 vs 0.95), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for HACK and SPAM

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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