WisdomTree Cloud Computing Fund (WCLD.US)

10-Year Study

WCLD.US · US · ETF

About WisdomTree Cloud Computing Fund (WCLD.US)

Unknown

Under normal circumstances, at least 80% of the fund"s total assets (exclusive of collateral held from securities lending) will be invested in component securities of the index and investments that have economic characteristics that are substantially identical to the economic characteristics of such component securities. The index is designed to track the performance of emerging public companies primarily involved in providing cloud computing software and services to their customers....

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

Fundamental Snapshot

WisdomTree Cloud Computing Fund (WCLD.US) charges an annual expense ratio of 0.45%, manages approximately $268.6M in net assets, and maintains a portfolio of 50 holdings. At the portfolio level, its underlying basket trades at 3.64x sales and 4.40x book value.

Executive Summary: WisdomTree Cloud Computing Fund has compounded at 6.2% annually over the last 10 years, with a maximum drawdown of 59.9% and an annualized volatility of 41.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-0.8%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.6%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-9.5%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.2%

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
2019-09-01$10,000
2019-10-01$10,164
2019-11-01$11,238
2019-12-01$10,826
2020-01-01$11,850
2020-02-01$11,593
2020-03-01$10,165
2020-04-01$11,994
2020-05-01$14,936
2020-06-01$16,508
2020-07-01$17,725
2020-08-01$18,953
2020-09-01$18,106
2020-10-01$17,809
2020-11-01$20,758
2020-12-01$22,703
2021-01-01$22,771
2021-02-01$22,521
2021-03-01$20,407
2021-04-01$21,720
2021-05-01$21,000
2021-06-01$23,682
2021-07-01$24,305
2021-08-01$25,814
2021-09-01$24,415
2021-10-01$26,525
2021-11-01$23,852
2021-12-01$21,975
2022-01-01$18,907
2022-02-01$17,771
2022-03-01$17,326
2022-04-01$14,551
2022-05-01$12,822
2022-06-01$11,877
2022-07-01$12,492
2022-08-01$12,547
2022-09-01$11,301
2022-10-01$11,678
2022-11-01$10,869
2022-12-01$10,627
2023-01-01$12,169
2023-02-01$12,034
2023-03-01$12,585
2023-04-01$11,284
2023-05-01$12,907
2023-06-01$13,432
2023-07-01$14,614
2023-08-01$13,521
2023-09-01$12,555
2023-10-01$11,572
2023-11-01$13,275
2023-12-01$14,809
2024-01-01$14,661
2024-02-01$15,153
2024-03-01$14,754
2024-04-01$13,555
2024-05-01$12,898
2024-06-01$13,386
2024-07-01$13,390
2024-08-01$13,453
2024-09-01$13,542
2024-10-01$14,068
2024-11-01$16,708
2024-12-01$15,898
2025-01-01$17,195
2025-02-01$15,500
2025-03-01$13,750
2025-04-01$13,975
2025-05-01$15,186
2025-06-01$15,314
2025-07-01$14,831
2025-08-01$15,153
2025-09-01$14,902
2025-10-01$15,165
2025-11-01$14,369
2025-12-01$14,835
2026-01-01$12,758
2026-02-01$11,559
2026-03-01$11,576
2026-04-01$11,483
2026-05-01$13,962
2026-06-01$13,583
2026-07-01$15,038
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
59.9%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.21
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.45
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
30.6%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2020 · +109.7%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -51.6%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
57%

Annual Returns

View full annual returns data
YearReturn
2020109.7%
2021-3.2%
2022-51.6%
202339.4%
20247.4%
2025-6.7%
20261.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
2026-14.0-9.40.1-0.821.6-2.710.71.4%
20258.2-9.9-11.31.68.70.8-3.22.2-1.71.8-5.33.2-6.7%
2024-1.03.4-2.6-8.1-4.83.80.00.50.73.918.8-4.87.4%
202314.5-1.14.6-10.314.44.18.8-7.5-7.1-7.814.711.639.4%
2022-14.0-6.0-2.5-16.0-11.9-7.45.20.4-9.93.3-6.9-2.2-51.6%
20210.3-1.1-9.46.4-3.312.82.66.2-5.48.6-10.1-7.9-3.2%
20209.5-2.2-12.318.024.510.57.46.9-4.5-1.616.69.4109.7%
20191.610.6-3.78.3%

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
41.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US43.4%
VEA.US-6.1%
VWO.US2.1%
QQQ.US5.4%
VTV.US-3.2%
IJR.US3.5%
QUAL.US-7.8%
SHV.US40.3%
TLT.US3.1%
LQD.US-1.6%
HYG.US3.1%
GLD.US0.1%
USO.US0.0%
VNQ.US0.6%
BTC-USD.CC0.7%
CPER.US0.1%
VIX.INDX1.1%
UUP.US1.0%
TIP.US1.9%
Idiosyncratic12.4%

WisdomTree Cloud Computing Fund ETF Profile & Portfolio Fundamentals

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

Fund Structure & Fees

Expense Ratio
0.45%
45th pct of 1250 ETFs · median 0.50%
Fund Size vs Peers
28th pct
larger than 28% 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/E20.22x
Portfolio Price-to-Sales3.64x
Portfolio Price-to-Book4.40x

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 →
+9.6%
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 →
+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 →
3.8% 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 →
1.20
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 →
55
OversoldNeutralOverbought
Neutral
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+10.9%
50.0% retracement+16.4%
61.8% retracement+22.5%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

WCLD.US — 10-Year Return & Risk Profile

WisdomTree Cloud Computing Fund (WCLD.US) has delivered modest annualized growth of 6.2% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $18,172, representing a total return of 82%. Over this period, WCLD.US generated positive annual returns in 6 out of 10 calendar years (57%).

The best single calendar year for WCLD.US was 2020, with a return of +109.7%. The worst year was 2022, when the asset declined 51.6%. 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 0.21 is considered weak 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.

WCLD.US — Drawdown, Volatility & Downside Risk

WCLD.US's annualized volatility of 30.6% is classified as high relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in WCLD.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 59.9% — a catastrophic peak-to-trough decline. 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 60% drawdown, for example, requires a 150% gain just to break even.

When evaluating WCLD.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.

WCLD.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 43.4% of WCLD.US's return variance to US Equity (broad market). This means that when US Equity (broad market) rises or falls sharply, WCLD.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 WCLD.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 40.3% of variance. 12.4% of WCLD.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 WCLD.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding WCLD.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 WisdomTree Cloud Computing Fund a high-risk investment?

WisdomTree Cloud Computing Fund (WCLD.US) has an annualized volatility of 41.5% and experienced a maximum drawdown of 59.9% over the last 10 years. Its primary macro risk driver is VTI.US.

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

Over the past 10 years, WCLD.US has generated a Compound Annual Growth Rate (CAGR) of 6.2%. A $10,000 investment would have grown to approximately $18,172. It has had a positive return in 57% of calendar years.

What is WCLD.US's Sharpe ratio?

WCLD.US has a Sharpe ratio of 0.21 and a Sortino ratio of 0.45 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 WCLD.US's dividend yield?

WCLD.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 WCLD.US above its 200-day moving average?

WCLD.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.

Run a Full Backtest on WisdomTree Cloud Computing Fund

stresstest.pro lets you simulate DCA vs Lump Sum, Monte Carlo projections, portfolio optimisation, and more — all in seconds.

Start a Free Backtest