First Trust Cloud Computing ETF (SKYY.US)

10-Year Study

SKYY.US · US · ETF

About First Trust Cloud Computing ETF (SKYY.US)

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The fund will normally invest at least 90% of its net assets (including investment borrowings) in the common stocks and depositary receipts that comprise the index. The index is designed to track the performance of companies involved in the cloud computing industry.

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

Fundamental Snapshot

First Trust Cloud Computing ETF (SKYY.US) charges an annual expense ratio of 0.60%, manages approximately $2.7B in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 3.40x sales and 5.61x book value.

Executive Summary: First Trust Cloud Computing ETF has compounded at 16.0% annually over the last 10 years, with a maximum drawdown of 48.9% and an annualized volatility of 30.0%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+13.3%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+25.1%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+16.0%

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$10,382
2016-09-01$10,534
2016-10-01$10,630
2016-11-01$10,695
2016-12-01$10,639
2017-01-01$11,262
2017-02-01$11,666
2017-03-01$11,948
2017-04-01$12,158
2017-05-01$12,396
2017-06-01$12,213
2017-07-01$12,640
2017-08-01$12,813
2017-09-01$12,963
2017-10-01$13,569
2017-11-01$14,071
2017-12-01$14,199
2018-01-01$15,195
2018-02-01$15,251
2018-03-01$14,995
2018-04-01$15,512
2018-05-01$16,197
2018-06-01$16,487
2018-07-01$16,555
2018-08-01$17,575
2018-09-01$17,598
2018-10-01$16,124
2018-11-01$16,090
2018-12-01$15,139
2019-01-01$16,750
2019-02-01$17,687
2019-03-01$18,030
2019-04-01$19,009
2019-05-01$17,623
2019-06-01$18,117
2019-07-01$18,393
2019-08-01$18,095
2019-09-01$17,705
2019-10-01$18,044
2019-11-01$19,161
2019-12-01$18,961
2020-01-01$20,155
2020-02-01$18,647
2020-03-01$17,126
2020-04-01$19,660
2020-05-01$22,221
2020-06-01$23,430
2020-07-01$24,540
2020-08-01$26,159
2020-09-01$24,698
2020-10-01$23,955
2020-11-01$28,260
2020-12-01$29,916
2021-01-01$31,106
2021-02-01$31,452
2021-03-01$30,164
2021-04-01$31,698
2021-05-01$30,879
2021-06-01$33,389
2021-07-01$33,342
2021-08-01$34,517
2021-09-01$33,212
2021-10-01$35,854
2021-11-01$34,180
2021-12-01$33,093
2022-01-01$29,391
2022-02-01$27,478
2022-03-01$28,745
2022-04-01$24,064
2022-05-01$22,362
2022-06-01$20,938
2022-07-01$22,320
2022-08-01$21,764
2022-09-01$19,197
2022-10-01$20,373
2022-11-01$19,960
2022-12-01$18,307
2023-01-01$20,354
2023-02-01$20,045
2023-03-01$21,259
2023-04-01$20,115
2023-05-01$22,985
2023-06-01$24,132
2023-07-01$25,572
2023-08-01$25,521
2023-09-01$24,122
2023-10-01$23,223
2023-11-01$26,029
2023-12-01$27,860
2024-01-01$28,514
2024-02-01$30,122
2024-03-01$30,379
2024-04-01$28,791
2024-05-01$28,584
2024-06-01$30,357
2024-07-01$30,275
2024-08-01$31,120
2024-09-01$32,496
2024-10-01$33,462
2024-11-01$38,762
2024-12-01$37,854
2025-01-01$40,780
2025-02-01$37,402
2025-03-01$32,486
2025-04-01$33,071
2025-05-01$36,471
2025-06-01$38,654
2025-07-01$39,118
2025-08-01$40,536
2025-09-01$42,716
2025-10-01$45,280
2025-11-01$40,942
2025-12-01$41,336
2026-01-01$37,857
2026-02-01$34,844
2026-03-01$34,752
2026-04-01$37,742
2026-05-01$45,941
2026-06-01$42,760
2026-07-01$45,442
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
48.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.65
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
1.11
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
22.5%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +57.8%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -44.7%
% 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
201733.5%
20186.6%
201925.3%
202057.8%
202110.6%
2022-44.7%
202352.2%
202435.9%
20259.2%
20269.9%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-8.4-8.0-0.38.621.7-6.96.39.9%
20257.7-8.3-13.11.810.36.01.23.65.46.0-9.61.09.2%
20242.35.60.9-5.2-0.76.2-0.32.84.43.015.8-2.335.9%
202311.2-1.56.1-5.414.35.06.0-0.2-5.5-3.712.17.052.2%
2022-11.2-6.54.6-16.3-7.1-6.46.6-2.5-11.86.1-2.0-8.3-44.7%
20214.01.1-4.15.1-2.68.1-0.13.5-3.88.0-4.7-3.210.6%
20206.3-7.5-8.214.813.05.44.76.6-5.6-3.018.05.957.8%
201910.65.61.95.4-7.32.81.5-1.6-2.21.96.2-1.025.3%
20187.00.4-1.73.44.41.80.46.20.1-8.4-0.2-5.96.6%
20175.93.62.41.82.0-1.53.51.41.24.73.70.933.5%
20163.81.50.90.6-0.56.4%

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
30.0%
View full factor risk breakdown
FactorRisk Exposure
VTI.US47.6%
VEA.US-11.2%
VWO.US3.9%
QQQ.US23.7%
VTV.US-0.2%
IJR.US-0.0%
QUAL.US-10.1%
SHV.US28.6%
TLT.US2.0%
LQD.US-2.0%
HYG.US3.7%
GLD.US0.0%
USO.US0.0%
VNQ.US0.8%
BTC-USD.CC0.9%
CPER.US0.4%
VIX.INDX1.5%
UUP.US0.9%
TIP.US0.1%
Idiosyncratic9.4%

First Trust Cloud Computing 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
72nd pct
larger than 72% of 1,446 ETFs we track
Holdings Count50
Distribution Yield
0.0%
10th pct of 1340 ETFs · median 1.9%

Portfolio Valuation Multiples

Portfolio P/E Ratio
Portfolio Forward P/E20.87x
Portfolio Price-to-Sales3.40x
Portfolio Price-to-Book5.61x

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 →
+4.7%
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 →
+12.9%
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 →
7.8% 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 →
1.31
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 →
56
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+5.4%
50.0% retracement+10.3%
61.8% retracement+15.7%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

SKYY.US — 10-Year Return & Risk Profile

First Trust Cloud Computing ETF (SKYY.US) has delivered strong annualized growth of 16.0% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $44,250, representing a total return of 343%. Over this period, SKYY.US generated positive annual returns in 9 out of 10 calendar years (90%).

The best single calendar year for SKYY.US was 2020, with a return of +57.8%. The worst year was 2022, when the asset declined 44.7%. 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 0.65 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.

SKYY.US — Drawdown, Volatility & Downside Risk

SKYY.US's annualized volatility of 22.5% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in SKYY.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 48.9% — a severe bear-market collapse. 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 49% drawdown, for example, requires a 96% gain just to break even.

When evaluating SKYY.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.

SKYY.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 47.6% of SKYY.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, SKYY.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 SKYY.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 28.6% of variance. 9.4% of SKYY.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 SKYY.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding SKYY.US alongside assets with low correlation to US Equity (broad market) — 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 First Trust Cloud Computing ETF a high-risk investment?

First Trust Cloud Computing ETF (SKYY.US) has an annualized volatility of 30.0% and experienced a maximum drawdown of 48.9% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, SKYY.US has generated a Compound Annual Growth Rate (CAGR) of 16.0%. A $10,000 investment would have grown to approximately $44,250. It has had a positive return in 90% of calendar years.

What is SKYY.US's Sharpe ratio?

SKYY.US has a Sharpe ratio of 0.65 and a Sortino ratio of 1.11 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 SKYY.US's dividend yield?

SKYY.US does not pay a meaningful dividend. Its returns are driven primarily by price appreciation. Investors seeking regular income may wish to consider dividend-focused alternatives.

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

SKYY.US is currently above its 200-day moving average by 12.9%. 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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