Amplify Cybersecurity ETF (HACK.US)

10-Year Study

HACK.US · US · ETF

About Amplify Cybersecurity ETF (HACK.US)

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Under normal circumstances, the fund will invest at least 80% of its net assets in the securities of companies that comprise the index. In pursuing this investment strategy, the fund invests 80% of its net assets in companies actively involved in providing cyber security technology and services, in accordance with the ISE Cyber Security® Industry classification....

Source: EODHD Financial Datasets
Fundamentals updated: Jul 31, 2026

Fundamental Snapshot

Amplify Cybersecurity ETF (HACK.US) charges an annual expense ratio of 0.60%, manages approximately $1.7B in net assets, and maintains a portfolio of 24 holdings. At the portfolio level, its underlying basket trades at 4.83x sales and 6.32x book value.

Executive Summary: Amplify Cybersecurity ETF has compounded at 15.1% annually over the last 10 years, with a maximum drawdown of 34.0% and an annualized volatility of 19.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+29.5%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+29.5%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+12.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+15.1%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-07-01$10,000
2016-08-01$10,312
2016-09-01$10,807
2016-10-01$10,280
2016-11-01$10,490
2016-12-01$10,293
2017-01-01$11,075
2017-02-01$11,309
2017-03-01$11,492
2017-04-01$11,266
2017-05-01$11,807
2017-06-01$11,686
2017-07-01$11,383
2017-08-01$11,577
2017-09-01$11,718
2017-10-01$11,963
2017-11-01$12,228
2017-12-01$12,319
2018-01-01$12,918
2018-02-01$13,292
2018-03-01$13,343
2018-04-01$14,051
2018-05-01$14,600
2018-06-01$14,406
2018-07-01$14,250
2018-08-01$15,753
2018-09-01$15,624
2018-10-01$14,024
2018-11-01$14,234
2018-12-01$13,133
2019-01-01$14,610
2019-02-01$15,584
2019-03-01$15,592
2019-04-01$16,297
2019-05-01$14,891
2019-06-01$15,506
2019-07-01$15,717
2019-08-01$14,773
2019-09-01$14,582
2019-10-01$15,237
2019-11-01$16,516
2019-12-01$16,204
2020-01-01$16,649
2020-02-01$15,490
2020-03-01$14,193
2020-04-01$15,920
2020-05-01$17,842
2020-06-01$17,706
2020-07-01$19,267
2020-08-01$19,661
2020-09-01$18,527
2020-10-01$17,933
2020-11-01$19,991
2020-12-01$22,931
2021-01-01$23,835
2021-02-01$22,385
2021-03-01$21,871
2021-04-01$22,771
2021-05-01$23,325
2021-06-01$24,170
2021-07-01$24,963
2021-08-01$25,736
2021-09-01$24,284
2021-10-01$26,256
2021-11-01$24,471
2021-12-01$24,542
2022-01-01$22,042
2022-02-01$22,921
2022-03-01$23,462
2022-04-01$20,813
2022-05-01$19,107
2022-06-01$18,308
2022-07-01$19,239
2022-08-01$19,047
2022-09-01$17,336
2022-10-01$18,787
2022-11-01$18,380
2022-12-01$17,632
2023-01-01$18,385
2023-02-01$18,517
2023-03-01$19,141
2023-04-01$17,976
2023-05-01$19,786
2023-06-01$20,258
2023-07-01$20,971
2023-08-01$21,159
2023-09-01$20,670
2023-10-01$20,414
2023-11-01$22,737
2023-12-01$24,233
2024-01-01$25,063
2024-02-01$26,163
2024-03-01$25,718
2024-04-01$24,719
2024-05-01$23,985
2024-06-01$25,977
2024-07-01$25,813
2024-08-01$27,121
2024-09-01$27,411
2024-10-01$27,829
2024-11-01$29,483
2024-12-01$29,925
2025-01-01$31,757
2025-02-01$30,677
2025-03-01$28,845
2025-04-01$29,953
2025-05-01$32,878
2025-06-01$34,698
2025-07-01$34,103
2025-08-01$33,903
2025-09-01$34,871
2025-10-01$35,196
2025-11-01$33,645
2025-12-01$32,311
2026-01-01$31,057
2026-02-01$29,413
2026-03-01$30,189
2026-04-01$31,861
2026-05-01$39,942
2026-06-01$42,185
2026-07-01$42,933
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
34.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.67
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.31
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20.1%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +41.5%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -28.2%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
90%

Annual Returns

View full annual returns data
YearReturn
201719.7%
20186.6%
201923.4%
202041.5%
20217.0%
2022-28.2%
202337.4%
202423.5%
20258.0%
202632.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-3.9-5.32.65.525.45.61.832.9%
20256.1-3.4-6.03.89.85.5-1.7-0.62.90.9-4.4-4.08.0%
20243.44.4-1.7-3.9-3.08.3-0.65.11.11.55.91.523.5%
20234.30.73.4-6.110.12.43.50.9-2.3-1.211.46.637.4%
2022-10.24.02.4-11.3-8.2-4.25.1-1.0-9.08.4-2.2-4.1-28.2%
20213.9-6.1-2.34.12.43.63.33.1-5.68.1-6.80.37.0%
20202.7-7.0-8.412.212.1-0.88.82.0-5.8-3.211.514.741.5%
201911.26.70.04.5-8.64.11.4-6.0-1.34.58.4-1.923.4%
20184.92.90.45.33.9-1.3-1.110.5-0.8-10.21.5-7.76.6%
20177.62.11.6-2.04.8-1.0-2.61.71.22.12.20.719.7%
20163.14.8-4.92.0-1.92.9%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
19.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US26.7%
VEA.US-11.8%
VWO.US1.7%
QQQ.US41.6%
VTV.US4.5%
IJR.US-3.6%
QUAL.US-5.8%
SHV.US2.2%
TLT.US-1.0%
LQD.US-1.5%
HYG.US7.9%
GLD.US0.0%
USO.US0.2%
VNQ.US4.7%
BTC-USD.CC-0.7%
CPER.US0.8%
VIX.INDX0.5%
UUP.US1.1%
TIP.US0.1%
Idiosyncratic32.5%

Amplify Cybersecurity ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Expense Ratio
0.60%
59th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
65th pct
larger than 65% of 1,446 ETFs we track
Holdings Count24
Distribution Yield
0.1%
21st pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E29.64x
Portfolio Price-to-Sales4.83x
Portfolio Price-to-Book6.32x

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+4.6%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+24.3%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
6.6% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.82
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
45
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+9.4%
50.0% retracement+15.5%
61.8% retracement+22.3%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

HACK.US — 10-Year Return & Risk Profile

Amplify Cybersecurity ETF (HACK.US) has delivered strong annualized growth of 15.1% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $40,692, representing a total return of 307%. Over this period, HACK.US generated positive annual returns in 9 out of 10 calendar years (90%).

The best single calendar year for HACK.US was 2020, with a return of +41.5%. The worst year was 2022, when the asset declined 28.2%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.67 is considered acceptable on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

HACK.US — Drawdown, Volatility & Downside Risk

HACK.US's annualized volatility of 20.1% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in HACK.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 34.0% — a significant bear-market drawdown. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 34% drawdown, for example, requires a 51% gain just to break even.

When evaluating HACK.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

HACK.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 41.6% of HACK.US's return variance to US Growth / Technology. This means that when US Growth / Technology rises or falls sharply, HACK.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their HACK.US allocation.

The second-largest macro driver is US Equity (broad market), contributing 26.7% of variance. 32.5% of HACK.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding HACK.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding HACK.US alongside assets with low correlation to US Growth / Technology — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Amplify Cybersecurity ETF a high-risk investment?

Amplify Cybersecurity ETF (HACK.US) has an annualized volatility of 19.5% and experienced a maximum drawdown of 34.0% over the last 10 years. Its primary macro risk driver is QQQ.US.

What is the 10-year return of HACK.US?

Over the past 10 years, HACK.US has generated a Compound Annual Growth Rate (CAGR) of 15.1%. A $10,000 investment would have grown to approximately $40,692. It has had a positive return in 90% of calendar years.

What is HACK.US's Sharpe ratio?

HACK.US has a Sharpe ratio of 0.67 and a Sortino ratio of 1.31 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is HACK.US's dividend yield?

HACK.US has an average trailing dividend yield of 0.06%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is HACK.US above its 200-day moving average?

HACK.US is currently above its 200-day moving average by 24.3%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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